{ "cells": [ { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [], "source": [ "#pip install langchain-groq\n", "#pip install environs\n", "#pip install lanchain\n", "# !pip -q install langchain tiktoken chromadb pypdf sentence_transformers InstructorEmbedding\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from environs import Env\n", "\n", "# Initialize environs\n", "env = Env()\n", "env.read_env(\".env\")\n", "\n", "# Access the API key\n", "api_key = env(\"GROQ_API_KEY\")\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from langchain_core.prompts import ChatPromptTemplate\n", "from langchain_groq import ChatGroq" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\Users\\PRINCE SIDDHARTH\\OneDrive\\Desktop\\rag_proj2\\.venv\\Lib\\site-packages\\langchain_groq\\chat_models.py:362: UserWarning: WARNING! top_p is not default parameter.\n", " top_p was transferred to model_kwargs.\n", " Please confirm that top_p is what you intended.\n", " warnings.warn(\n" ] } ], "source": [ "chat = ChatGroq(temperature=0.4, top_p=0.8,model_name=\"mixtral-8x7b-32768\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "' You are a helpful assistant.Always ready to help you with user questions.\\nAnswer the question fully based on the context below. If you can\\'t \\nanswer the question, reply \"I don\\'t know\" .You dont hallucinate and you are fully reliable .\\n\\nContext: Here is some context\\n\\nQuestion: Here is a question\\n'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from langchain.prompts import PromptTemplate\n", "\n", "template = \"\"\" You are a helpful assistant.Always ready to help you with user questions.\n", "Answer the question fully based on the context below. If you can't \n", "answer the question, reply \"I don't know\" .You dont hallucinate and you are fully reliable .\n", "\n", "Context: {context}\n", "\n", "Question: {question}\n", "\"\"\"\n", "\n", "prompt = PromptTemplate.from_template(template)\n", "prompt.format(context=\"Here is some context\", question=\"Here is a question\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "from langchain_core.output_parsers import StrOutputParser\n", "\n", "parser = StrOutputParser()\n", "\n", "chain = prompt | chat | parser " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "from langchain.vectorstores import Chroma\n", "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", "from langchain.text_splitter import CharacterTextSplitter\n", "from langchain.chains import RetrievalQA\n", "from langchain.document_loaders import PyPDFLoader\n", "from langchain.document_loaders import DirectoryLoader" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load Multiple files from Directory" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# loader = TextLoader('single_text_file.txt')\n", "loader = DirectoryLoader(f'IIITDMJ', glob=\"./*.pdf\", loader_cls=PyPDFLoader)\n", "documents = loader.load()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 0}, page_content='1 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nAcademic Guidelines \\n for \\nUndergraduate (UG) and Postgraduate (PG) \\nProgrammes \\nDumna Airport Road, P.O.: Khamaria, Jabalpur - 482 005, Madhya Pradesh, India '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 1}, page_content='2 \\n \\n1. The admission process \\n1.1 Undergraduate Programmes (B.Tech./B.Des.): \\n1.1.1 The Institute shall offer four-year \\ni) Bachelors of Technology (B.Tech.) programme in \\n\\uf0d8 Computer Science & Engineering (CSE), \\n\\uf0d8 Electronics & Communications Engineering (ECE), and \\n\\uf0d8 Mechanical Engineering (ME) \\nii) Bachelor of Design (B.Des.) Programme \\n1.1.2 Admissions to the B.Tech. programmes of the Institute are made once a year in July \\nthrough the Centralized Admission Examination (Joint Entrance Examination (JEE \\n(Main)). Counseling of the stu dents/ qualified candidates of the said examination is \\nmanaged by Centralized Counseling Board (Joint Seat Allocation Authority \\n(JoSAA)). The minimum academic qualification for admission is a pass in the final \\nexamination of 10+2 system or its equivalent w ith Physics and Mathematics as \\ncompulsory subjects. \\n1.1.3 Admission to the B .Des. Programme of the Institute is made once a year in July \\nthrough the Undergraduate Combined Entrance Examination for Design (UCEED). \\n1.1.4 Reservations for Scheduled Caste (SC), Scheduled Tribe (ST), Other Backward \\nClasses (OBC) and Physically Handicapped (PH) candidates shall be as per the \\nGovernment of India rules. The reserved seats are filled on the basis of counseling \\ndone as per the specified qualifying norms by the JEE/UCEED. \\n1.2 Postgraduate Programmes (M.Tech./M.Des./Ph.D.) \\n1.2.1 The Institute shall offer \\ni) Four-Semesters Masters programme, \\n\\uf0a7 Master of Technology (M.Tech.) in \\n\\uf0d8 Computer Science & Engineering (CSE) \\n\\uf0d8 Electronics & Communication Engineering (ECE) with specializations \\n(i). Power & Control \\n(ii). Microwave Communication Engineering \\n(iii). Micro & Nano Electronics \\n\\uf0d8 Mechanical Engineering (ME) with specializations \\n(i). CAD/CAM \\n(ii). Design \\n(iii). Manufacturing \\n\\uf0d8 Mechatronics \\n\\uf0a7 Master of Design (M.Des.) \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 2}, page_content='3 \\n \\nii) Doctoral of Philosophy (Ph.D.) programme in \\n\\uf0a7 Computer Science & Engineering (CSE) \\n\\uf0a7 Electronics & Communication Engineering (ECE) \\n\\uf0a7 Mechanical Engineering (ME) \\n\\uf0a7 Design \\n\\uf0a7 Physics \\n\\uf0a7 Mathematics \\n\\uf0a7 English \\n1.2.2 Postgraduate students shall be admitted under the following categories: \\ni) Full Time \\n\\uf0a7 Institute Assistantship (IA) \\nThe students under th is category are entitled to financial support (Teaching \\nAssistantship), as per the MHRD norms. Further, the student is required to assist \\n8 hours of work per week assigned by the Discipline. \\n\\uf0a7 Govt./Semi Govt. Fellowship Award (FA) (QIP, Deity, CSIR, UGC, DAE, DST, \\nDBT, NBHM, etc.) \\nThese candidates are financially supported under various Govt. / Semi Govt. \\nschemes (CSIR, UGC, DAE, DST, DBT, NBHM, etc.), Department of \\nElectronics and Information Technology (Deity), Aeronautics Research & \\nDevelopment Board (A RDB), Department of Science and Technology (DST), \\nAtomic Energy Regulatory Board (AERB), Department of Atomic Energy \\n(DAE), etc. The candidates under this category may be assigned teaching \\nassignment per week by the Discipline, as per the requirement of th e concerned \\nfellowship. \\n\\uf0a7 Sponsored Candidates (SW) \\nThese candidates are sponsored by recognized R&D organizations/academic \\ninstitution/ industry for doing research work in the Institute. Candidates are \\nexpected to be relieved for full time research work at the Institute for a \\nminimum period of three years. They will not receive any financial support from \\nthe Institute. \\nii) Part Time \\n\\uf0a7 Institute Staff (IS), for Institute Staff of IIITDM Jabalpur \\nThis category is only for the persons employed as Institute Staff at IIITDM \\nJabalpur and the candidate should have worked in the Institute for at least 2 \\nyears on a regular position at the time of admission. \\n\\uf0a7 Project Staff (PS), for Project Staff of IIITDM Jabalpur \\nThis category refers to the candidates employed at IIITDM Ja balpur and '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 3}, page_content='4 \\n \\nworking on sponsored projects undertaken by the Institute and admitted to the \\nPh.D. programme. A candidate will be eligible to apply under this category if \\nthe remaining duration of the project at the time of admission is 2 years or more. \\nThe students under this category will receive their fellowships from the project \\nin which they are employed and shall perform duty as per the requirements of \\nthe project. \\n\\uf0a7 External candidates, sponsored by recognized R & D organizations / academic \\ninstitution / industry (EX) \\nThis category refers to a student employed in an R&D organization/ academic \\ninstitution/ industry having adequate research facilities. Such organizations shall \\nbe approved by the Senate. The Institute does not provide any assistantship/ \\nfellowship to such a student. There shall be two sub-categories in this: \\n\\uf0d8 Candidates who are local (that is they are able to attend all classes, labs, etc. \\non regular basis) and have been employed as professionals in an \\nestablishment/ organization/ institute. Suc h candidates shall not be having \\nany bounding of the residence requirement. \\n\\uf0d8 Candidates who are non-local (that is they are not able to attend all classes, \\nlabs, etc. on regular basis) and have been employed as professionals in an \\nestablishment/ organization/ institute approved by the Senate. The research \\nwork leading to the Ph.D. degree by such students may be carried out \\nlargely in the parent organization of the candidate under a local supervisor \\napproved by the Senate from the organization but with the o verall guidance \\nprovided by a faculty member (Institute Supervisor) of the Discipline in \\nwhich she/he is registered. Such candidates are: \\n(i). required to be resident of the institute till they complete the course \\nwork and pass the comprehensive examination and \\n(ii). get the approval of the Chairperson, Senate on a written proposal \\n(prepared in consultation with his supervisor(s)) outlining the \\nwork proposed to be done in his thesis. \\n1.2.3 In each postgraduate programme, seats shall be reserved as per prevalent \\nGovernment of India norms. The number of seats is given below. \\nRegular (Institute Assistantship) Sanctioned strength \\nSponsored Up to 10% of the sanctioned strength and \\nover and above the sanctioned strength \\nGovt./Semi Govt. Fellowship \\nAward (FA) \\nAs approved by the fellowship authority or \\nup to 20% of the sanctioned strength ( over \\nand above the sanctioned strength) \\nPart Time Up to 20% of the sanctioned strength and \\nover and above the sanctioned strength '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 4}, page_content='5 \\n \\n1.2.4 Eligibility for Admissions \\ni) Master’s Programme \\n A minimum of 60 percent marks OR a CPI/CGPA of 6.0 (on the scale of 10.00) or \\nequivalent shall be required in the qualifying examination (B.Tech./B.Des. or \\nequivalent) as the specified minimum for admission in a master’s programme. \\n For admission to two years Masters Programme under regular category, qualifying \\nmarks/certificate in GATE/CEED/(CSIR/UGC -JRF/NET) examination conducted \\nat national level will be essential (as per the programme need) . The candidate \\nshould have valid GATE/ CEED/ UGC-JRF score. \\n \\nii) Doctoral Programme \\n A minimum of 60 percent marks OR a CPI/CGPA of 6.0 (on the scale of 10.00) \\nshall be required at the master’s level qualifying examination (M.Tech./ M.Des./ \\nM.Sc./ M.A./ M.B.A., etc.) as the specified minimum for admission in a Ph.D. \\nprogramme. Minimum duration for such masters’ programme shall be two years. \\n For admission to Doctoral Programme, the candidate must have qualified GATE/ \\nCEED/ (CSIR/ UGC-JRF/ NET) examination conducted at national level at any \\ntime (as per the programme need). \\n1.2.5 Relaxation for reserved category in the eligibility requirements shall be as per Govt. \\nof India norms. \\n1.2.6 In case of sponsored and part time categories, candidates shall have a regular \\nemployment and shall be required to apply through proper channel (the employer or \\nher/his authorized signatory). Such candidate shall have served for at least two years \\nin a reputed R &D establishment/ organization/ academic institution/ company \\nassociated with design, development and/or manufacturing of engineering products \\nas approved by th e Chairperson, Senate , except for Ph.D. in English literature in \\nwhich case, the candidate shall have served in a reputed academic institution. \\n1.2.7 In case of Fellowship Award category, eligibility criteria for the candidates shall be \\nthe same as laid down b y the fellowship awarding agency . Such candidates will be \\nexempted from requirement of qualified GATE/ CEED/ (CSIR/UGC-JRF/NET) or \\nequivalent examination conducted at national level. \\n1.2.8 Students under Dual Degree \\ni) Towards the middle of fourth semester of the M asters’ programme students of the \\ninstitute having CPI \\uf0b3 8.5 (for SC/ST CPI \\uf0b3 8.0) can submit request for the \\nconversion of their program to Dual Degree (M.Tech .+Ph.D.) along with research \\nproposal. Research proposal should be comprehensive in nature. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 5}, page_content='6 \\n \\nii) PGPC will give its recommendation to Dean Academic for the conversion after \\nevaluating and weighting the research proposal. The recommendation will go to \\nthe Chairperson Senate for final approval. \\niii) After the conversion, student will be considered as a regular Ph.D. student from \\nthe date of registration in the dual degree and must complete all requirements of \\nPh.D. Relaxation in course work/ modification in course work may be allowed on \\nthe recommendation of RPC and approved by Dean Academic. \\n1.2.9 Direct Admission to Ph.D after B.Tech \\ni) Students who are currently in their final year in any of the Centrally Funded \\nTechnical Institutions (CFTIs) will only be eligible for the admission under this \\ncategory. \\nii) To be eligible for the admission under this category, a candida te is required to \\nhave a minimum CPI of at least 8.0 CPI or equivalent (on a scale of 10) at the end \\nof the seventh semester under OPEN and OBC categories. For SC/ST category \\nstudents, the minimum CPI requirement will be relaxed to 7.0. Qualified and valid \\nNET/GATE score is mandatory in this case. \\niii) They shall be admitted through the same regular admission process as specified \\nfor the regular Ph.D. students. \\n1.2.10 The process of admission under the following categories shall be the same and shall \\nbe through open advertisements \\ni) Institute Assistantship (IA) \\nii) Fellowship Award (FA), \\niii) Sponsored Candidates (SW) \\niv) Institute Staff (IS), for Institute Staff of IIITDM Jabalpur \\nv) Project Staff (PS), for Project Staff of IIITDM Jabalpur \\nvi) External candidates, sponsored by recognized R & D organizations / academic \\ninstitutions / industry (EX) \\n1.2.11 Admissions to different Doctoral programmes may be recommended on the basis of \\nthe performance in the qualifying examination and performance in written test \\nand/or interview for all categories reco mmended by the duly constituted Selection \\nCommittee of the Discipline and approved by the Chairperson Senate on the \\nrecommendation of Head of the Discipline and Dean Academic. \\n1.2.12 Project staff working on sponsored projects undertaken by the Institute shall be \\neligible for admission under the category of part time subject to following '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 6}, page_content='7 \\n \\nadditional conditions: \\ni) Project staff shall apply through the PI of the project along with a research \\nproposal in line with the project on which he /she is working. Such applicati on \\nshall be forwarded by the head of the discipline under PS category and shall \\nclearly mention in her /his application “Financial Assistance for the Stipend or \\nFellowship shall strictly be borne by the project funds and not by MHRD/Institute \\nAssistantship”. \\nii) If the candidate is found suitable, she/he shall be given provisional admission up \\nto the next selection process. The provisional admission will be confirmed, only if \\nshe/he is selected through the regular selection process . In case the project staff \\ndoes not get selected, the provisional admission shall stand cancelled and he/she \\ncannot continue the Ph.D. programme. \\niii) The P roject Staff shall not be paid any Institute assistantship (She/ He will be \\nreceiving his scholarship / assistantship from the project i n which he /she is \\nemployed) and the institute shall have no liability whatsoever, in case the project \\ntenure is over and the PI is unable to pay the assistantship to the student. The \\nfinancial onus of the student strictly lies with the Principal Investigat or (PI) and \\nthe Project. In case the project gets over at the end of 2 years, the candidate can \\napply for conversion to other category. \\niv) The PS shall perform assignment assigned by the PI of the project under this \\ncategory. \\n1.2.13 The credit requirements, minimum time period and other academic rules shall \\nremain invariant as imposed on regular Ph.D . student of all categories except \\notherwise mentioned elsewhere \\n1.2.14 A student may apply for conversion of categories (IA, FA, SW to EX) through \\nRPC, as per the guidelines given below . Approval for such conversion may be \\ngiven by the Chairperson Senate on the recommendation of Head of the Discipline \\nand Dean Academic. The guidelines for conversion are as under \\ni) A PG student can convert the category (After comprehensive examination of PhD \\nstudents and after completion of course works of master students) with the \\nrecommendation of supervisor, PGPC/RPC, Dean Academic and approval of \\nChairperson Senate. The student should fulfill all the requirements of the \\ncategory where he wants to convert. \\nii) Ph.D External- Self Supported \\n\\uf0a7 Research Scholars in regular category who got a job offer can get relief from the \\nprogramme as a special case, while keeping their registration alive on payment \\nof a required fees every semester with the consent o f thesis supervisor(s), '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 7}, page_content='8 \\n \\nrecommended by Dean Academic and approved by Chairperson Senate if they \\nhave completed the following requirements \\n \\n\\uf0d8 Minimum residential requirements \\n\\uf0d8 Course Works \\n\\uf0d8 Comprehensive Examination \\n\\uf0d8 First Progress seminar with proper direction of research \\n \\n\\uf0a7 The candidate should have applied for the job through proper channel \\n(recommended by Ph.D. supervisor(s) and on the approval of Convener, APCS). \\nCopy of the same should be enclosed at the time of application. \\n\\uf0a7 The candidate must submit a copy of the offer letter from his future employer at \\nthe time of application. \\n\\uf0a7 The student must submit a no objection letter from his future employer at the \\ntime of application. \\n\\uf0a7 The change of category shall be approved as per the recommendation of an \\nEvaluation Board. \\nThe Evaluation Board of a Doctoral student shall consists of RPC members \\n\\uf0a7 The student must give one progress seminar before the Evaluation Board in each \\nsemester. \\niii) Conversion of M.Tech. programme to External- Self supported \\n\\uf0a7 An M. Tech. student in regular category who got a job /paid -internship offer can \\nconvert his programme to External -Self Supported and can get relief from the \\nprogramme as a special case while keeping his/her registration alive on payment \\nof a required fees every semes ter with the consent of thesis supervisor(s), \\nrecommended by PGPC and approved by the Chairperson Senate if he/she \\nsuccessfully completed the course work requirements and other requirements for \\nthe award of M. Tech. degree except for the thesis credits. Th e candidate must \\nsubmit the following document with his/her application for conversion of his/her \\nprogramme from regular to external-self supported mode. \\n\\uf0d8 A self-attested copy of the offer letter from his / her future employer. \\n\\uf0d8 A no objection letter from his future employer at the time of application. \\n\\uf0a7 Change of category shall be recommended by the PGPC and thesis supervisor of \\nthe student. \\n\\uf0a7 The student will be required to give one graduate seminar before the PGPC in \\neach semester. \\n\\uf0a7 Each case of conversion from the regular to external-self supported category will \\nbe considered for approval by the Chairperson Senate on the recommendation of \\nthe Dean Academic. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 8}, page_content='9 \\n \\n1.2.15 The offer of admission may also stand withdrawn if the candidate who has accepted \\nthe offer by paying her/ his fee but fails to register in the programme by the last date \\nof registration. \\n1.2.16 In exceptional cases, a student admitted in the programme, who has paid her / his \\nfees but is unable to register within the registration dates as mentioned in academic \\ncalendar due to valid reasons, may request for the deferred admission . On the \\nrecommendation of the Dean Academic, the Chairperson Senate may allow the \\ndeferment of admission for the duration not normally exceeding one semester. \\nHowever, all cases of deferred a dmissions shall be required to be ratified by the \\nSenate and may stand cancelled otherwise. \\n1.2.17 The admission of a student who fails to submit the prescribed documents by the \\nspecified date or fails to meet other stipulated requirement(s) may be cancelled by \\nthe Dean Academic. The Dean Academic may also cancel the admission of a \\nstudent at a later time if it is found that the student was unfit at the time of \\nadmission or had supplied some false information/ certification or suppressed \\nrelevant information while seeking admission to the Institute. \\n2. Residence requirements \\n2.1 The Institute’s programmes are essentially residential ones and unless otherwise \\nexempted/ permitted, every student shall be required to reside in, and be a boarder of a \\nHall of residence, to which he/she is assigned. \\n2.2 A student registered under sponsored and fellowship award category shall be required to \\nstay for required duration as specified by the Institute and the sponsoring organization \\nmust specifically undertake to relieve him/her for the said period. \\n2.3 Students registered in the EX category (non-local) will be required to stay in the campus \\nat least as long it takes to \\na) complete the course work and pass the comprehensive examination and \\nb) get the approval of the Chairperson, Senate on a writt en proposal (prepared in \\nconsultation with his supervisor and co -supervisor) outlining the work proposed to \\nbe done in his thesis. \\n2.4 Students registered under the EX category (local) will not be required to stay in the \\ncampus but they need to attend all the regular classes, labs, seminars and exams as per \\nthe need of their programme. \\n3. Academic session \\n3.1 The academic session of the Institute normally begins in the first week of August every \\nyear and ends at the end of July. It is divided into three parts: Two r egular Semesters '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 9}, page_content='10 \\n \\nand a Summer Term. The summer term is defined only for undergraduate programme. \\nFor the PG programmes, there is no summer term. \\n3.2 Each of the two semesters consists of about Seventeen (17) weeks inclusive of two \\nweeks of examinations, one week of mid–semester recess and about fourteen weeks of \\nteaching. The summer term consists of about ten (10) working weeks including \\nexaminations. \\n3.3 The exact dates of all the important events, such as orientation, registration, late \\nregistration, commencement of classes, adding and dropping of courses, submission \\nof documents, examinations, submissions of grades, conversion of I - grades, vacations, \\nmid-semester recess, etc., during the Academic Session shall be specified in the \\nAcademic Calendar of the In stitute duly approved by the Senate. The academic \\ncalendar is normally brought out before the beginning of a calendar year. \\n4. Registration \\n4.1 On the dates specified in the Academic Calendar of the Institute, all students shall \\nregister in each semester for the courses to be pursued by them as per their programme \\nrequirements. The entire responsibility for the semester registration rests with the \\nstudent concerned. \\n4.2 The semester registration in the Institute involves: \\na) filling of the registration form mentioning t he courses to be credited in the \\nsemester/summer term from among the courses offered by the Institute and the \\nprogramme requirements specified in the curriculum, including the thesis work, if \\nany. \\nb) payment of fees and clearance of outstanding dues, if any, and \\nc) physical reporting (signing of the registration roll) in the Academic Section of the \\nInstitute. \\n4.3 A new entrant in the postgraduate programme, who is awaiting the results of her/ his \\nqualifying examination, shall be allowed to register provisionally on submission of a \\ncertificate from her / his institution certifying that she/ he has appeared in the final \\nqualifying examination including all papers in theory, practical, project, oral, etc. \\n4.4 Such a candidate shall submit documents of having passed the qual ifying examination \\nby the last date for document submission, as given in the Academic Calendar of the \\nInstitute, for getting her/his registration regularized. \\n4.5 If for any compelling reason like illness or any other valid reason, a student is unable to \\nregister on the day of registration as mentioned in academic calendar, she/ he can \\nregister on the late registration day specified in academic calendar on payment of the \\nlate registration fee. However, if a student seeks prior permission to register late on \\nvalid grounds, she/ he may be allowed by Dean Academic without paying the late \\nregistration fee. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 10}, page_content='11 \\n \\n4.6 A student needs to pre-register for the next semester on the dates specified in the \\nacademic calendar of the Institute. \\n4.7 It is mandatory for all students to physic ally report on the first day of reporting as laid \\nin the academic calendar. If for some valid reason a student fails to report, she/ he \\nneeds to late register after paying late registration fees. However, if a student seeks \\nprior permission to report late on valid grounds, she/he may be allowed by Dean \\nAcademic without paying the late registration fees only till the date of late registration \\nas mentioned in the academic calendar. \\n4.8 Registration in Audit course: \\na) The Institute encourages students towards extra learning by auditing for additional \\nnumber of courses. \\nb) Adding and dropping of an audit course is permitted only up to the last date of \\nadding/dropping of courses, as given in the Institute’sAcademic Calendar. \\nc) Grades when obtained B or above for courses registered for as audit courses shall be \\ndisplayed on the Grade Sheet of the student for the semester. Grades, when below B \\nwill not be displayed on the grade sheet. However, the grades obtained in courses \\nregistered as audit courses shall not be counted for the calculation of the Semester \\nPerformance Index (SPI) or the Cumulative Performance Index (CPI). \\n4.9 Attendance \\na) A course of a student will be dropped if the student fails to secure a minimum 75% \\nof attendance in the total classes / labs held in that course. Student will be, marked \\n“CD” grade in the grade sheet in such a case. \\nb) In special circumstances, a relaxation may be permitted to the student in attendance, \\nupto 60 % by the Chairperson, Academic Senate on medical grounds. The medical \\ncertificate produced by the student must be approved by the Institute doctor. \\nc) Course instructor will maintain the attendance record regularly and inform the \\nstudents who fail to satisfy the criterion of 75% of attendance in each month through \\nthe course web page / general (written) notice. \\n5. Cancellation of semester registration \\n5.1 Absence for a period of four or more weeks at a stretch or in total during a semester \\nshall result in automatic cancellation of the registration of a student from all the courses \\nin that semester. \\n5.2 Absence for a period of three or more weeks at a stretch or in total during a summer \\nterm shall result in automatic cancellation of the registration of a student from all the \\ncourses in that summer term. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 11}, page_content='12 \\n \\n6. The courses of study and credit schemes \\n6.1 A list of courses to be offered during the semester shall be provided by the discipline to \\nthe Academic office. \\n6.2 Each course carries a weight in terms of credits depending upon the number of contact \\nhours including lectures and tutorials and/or laboratory hours attach ed with the course. \\nThe academic load and the credit for a given course are decided by the following \\ncalculation: \\n Academic Load: AL=3.0xL+1.0xT+1.5xP+0.0xD+0×PR \\n \\nAcademic Load AL Course Weightage or Units \\nCourse Credits or Units \\n≤ 06 2 \\n(06, 08] 3 \\n(08, 11] 4 \\n(11, 13] 5 \\n>13 6 \\n \\n where L, T, P, D and PR are number of lecture, tutorial, practical, discussion and project \\nhours in a week respectively. \\n6.3 The courses of study shall focus on following philosophies. \\na) Choice based credit systems \\nb) Project based learning. \\nc) Industrial experience \\nd) Inter-disciplinary approach \\ne) Focus on IT enabled Design, development and manufacturing projects for hands on \\nexperience \\n6.4 Evaluation schemes for UG and PG courses: \\n \\nSchemes Quiz1 Mid \\nSemester Quiz2 \\nEnd \\nSemester Laboratory \\nTerm \\npaper/Project/As\\nsignments \\n1. 15 30 15 40 - - \\n2. 10 20 10 40 20 - \\n3. 10 20 10 40 - 20 \\n4. 10 20 - 40 20 10 \\n5. 10 20 - 30 40 Design & \\nManufacturing Project) \\n6. (Only \\nfor PG) 10 20 - 40 - 30 \\n7. (Lab \\nCourse) \\n60 (Regular Lab \\nPerformance) 40 - - \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 12}, page_content='13 \\n \\n6.5 Credit System \\n6.5.1 Undergraduate (BTech/BDes) \\ni) A student needs to earn minimum credits as per the curriculum approved by the \\nSenate for completing the BTech/BDes programme in different natures of \\ncourses: \\n \\n \\nii) The courses of study shall include projects: \\nOptional \\nProject \\n(starting \\nfrom \\nSemester \\none) \\n• Credits for this project are two credits in a year (consisting of 2 \\nregular semester and a summer term). \\n• A student may earn maximum of six credits within 3 years (i.e. \\n6 th semester) by opting optional projects and he/she may get \\nrelaxation of maximum 6 credits against \\nthe electives in the curriculum (Including PBI/Project) as per \\nhis/her choice. \\n• A student may choose the project starting from first semester \\nindividually or in a group consisting of maximum five \\nmembers. The members of the group may be from any \\ndiscipline. \\n• The group can register in a particular discipline (irrespective of \\nher/his branch) after discussing with the faculty mentor latest \\nby September 15 of each year. \\n• The weightage for grading will be: Faculty mentor -70%, \\nEvaluation committee-30%. The evaluation committee(s) is/are \\nconstituted by the head of the discipline (i.e. discipline where \\nthe student registers). The faculty mentor will not be the part of \\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 13}, page_content='14 \\n \\nthe committee for her/his student. \\n• The final grading will be done by a new committee constituted \\nby Head of the Discipline (i.e. discipline where the student \\nregistered for the project) based on the total marks obtained in \\nthe discipline. For same marks, different grades cannot be \\nawarded to maintain the uniformity. \\n• The concern discipline will submit the grades of all the \\nregistered students (who have registered in that discipline) in \\nthe academic office on/before two days prior to the date of \\nregistration for the next semester. \\nExternal \\nProject \\n(Project \\nBased \\nInternship \\n(PBI)) \\n• A student can register for PBI in 7 th Semester for 12 credits \\n(against 3 prof. Electives). \\n• Such students must earn remaining 8 credits from other \\nsemester out of which at least 4 credits should be before PBI. \\n• Such student will do the project in Industry/ Company/ premier \\neducational Institutes and requires approval of DUGC. \\n• Coordination of PBI shall be done by the Discipline. \\nDesign and \\nManufacturi\\nng Projects \\n• All students of B.Tech. programmes are required to register for \\nDesign and manufacturing project in their fourth semester \\n• This project must contain interdisciplinary contents \\n• The project shall focus on design and fabrication of prototype \\nof a product \\n• Final outcome of the project must be a prototype of a project. \\niii) A student is required to ensure that she/he has completed the pre -requisite(s), if \\nany, for each course to be registered. At any stage if it is found that she/he is not \\nmeeting the pre-requisites of a course then the registration of the student in that \\ncourse shall be cancelled by the Dean Academic unless formally permitted by \\nthe instructor. \\niv) A student having her/his CPI≥6.0 may however, be permitted by the Discipline \\nUnder Graduate Committee ( DUGC) to take an overload of maximum of 4 \\ncredits (earned through one or more courses) for the purpose of :- \\n\\uf0d8 Enriching her/his knowledge or \\n\\uf0d8 clear backlogs \\nv) Registration of deficient students is done as per the recommendations of the \\nDUGC and she/he may be required to take a reduced load as per the provisions/ \\nrecommendations of the respective DUGC. \\nvi) Summer Term under graduate courses are offered by the Institute generally to \\nhelp deficient students in clearing their backlogs and a student is allowed to take \\nmaximum of two courses and credits not exceeding 10 during the Summer Term. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 14}, page_content='15 \\n \\nvii) For an elective course to be offered in a particular semester, a minimum of five \\nstudents must be registered for that course. \\nviii) A student may add or drop course(s) by the last date specified in the Academic \\nCalendar of the Institute with the permission of the DUGC. \\nix) An undergraduate student may be allowed to register for the reduce d load by the \\nDean academic on the recommendation of DUGC, if \\n\\uf0d8 A student is unable to cope up with her/his semester load and is under \\nacademic probation/ academic break \\n\\uf0d8 In exceptional cases, due to some genuine reason, the student is not able to \\ncope up with the academic load. \\n6.5.2 Postgraduate Programme (MTech/MDes/PhD) \\ni) The courses of study of postgraduate programme shall comprise of \\n\\uf0d8 Professional Communication course \\n\\uf0d8 Core Courses \\n\\uf0d8 Electives or Electives in Modular Form (EMF) \\n\\uf0d8 Thesis Work \\nii) Minimum credits requirements for completing the postgraduate programme: \\n \\n M.Tech. M.Des. \\nPh.D. in \\nEngg \\n[after \\nME/ \\nMTech/\\nMDes] \\nPh.D. in \\nNS \\n[after \\nM.Sc./\\nMA] \\nPh.D. in \\nEngg. \\n[after \\nB.Tech./ \\nB.E./] \\nMinimum total number of \\ncredits 70 94 72 90 106 \\nMinimum number of credits \\nthrough the course work 28 60 16 24 40 \\nMinimum number of credits \\nthrough Graduate/Progress \\nSeminar 04 04 06 06 06 \\nCredits through Teaching \\nWork* -- -- 02 02 02 \\nCredits through Summer \\nInternship - 02 - - - \\nMinimum number of credits \\nthrough thesis research 32 20 48 48 48 \\nProfessional Communication \\nSkills course 02 02 02 02 02 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 15}, page_content='16 \\n \\niii) It is mandatory for all PG students to credit a course on “ Professional \\nCommunication Skills” of 2 credits. Students will be awarded either S or X grade \\nin the course. Those Ph.D. students who have completed this cours e during their \\nMasters’ programme at this Institute shall be exempted from the course. \\niv) PhD students will be permitted to register in c ourses on foreign language \\ncommunication skills such as Japanese, German or French, as per the availability \\nof foreign language teachers on audit basis. \\nv) Thesis work can be registered in a semester in multiples of 4 credits. \\nvi) If a student clears the comprehensive examination before the last date of adding \\ncourses as specified in the Academic Calendar , she/he would be allowed to add \\nprogress seminar by dropping the research seminar in that particular semester. \\nvii) Graduate Seminar and Progress Seminar carry 2 credits each and are required to \\nbe registered by all Master’s and Doctoral students respectively in different \\nsemesters of their programmes. \\nviii) All Doctoral students shall be required to register against progress \\nseminar in every semester of their programme after successful completion of the \\ncomprehensive examination and before the successful completion of open \\nseminar. \\nix) If any student gives the open seminar and recommended by the open seminar \\ncommittee to submit the thesis, the progress seminar and thesis unit registered in \\nthat semester will be cancelled automatically. \\nx) The credits through teaching work will be evaluated by the faculty appointed by \\nthe head of the discipline for the purpose. The teaching credits will be evaluated \\nby S or X grades. \\nxi) A postgraduate student (except M.Des.) shall register for 16 -20 credits in a \\nsemester. \\nxii) Students registered under EX category shall b e required to register for 10-14 \\ncredits in a semester. \\n6.6 Electives in Modular Form (EMF) for undergraduate and postgraduate programmes \\n6.6.1 Institute curriculum for the postgraduate program has the provision of Professional \\nElectives and Open Electives. The Inst itute may offer these electives in the format of \\nElectives in Modular Formats (EMFs) of one or two credits. \\n6.6.2 The duration of an EMF shall be of 10–11 lecture hours for one credit and 20 -22 \\nlecture hours for two credits. One elective course can be r eplaced by EMFs of \\nequivalent credits . Postgraduate students may opt for EMFs against electives by \\nregistering for the EMFs of equivalent number of credits with the consent of the \\nthesis supervisor(s)/ Convener DPGC. \\n6.6.3 Regular faculty members, Guest/Adjunct faculty and professionals working in the \\nindustry/ R&D Organizations and Labs who wish to offer an EMF shall be required '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 16}, page_content='17 \\n \\nto propose, the lecture -wise schedule of the course. Course contents of all the EMFs \\nshall require a formal approval by the Senate. The curric ulum vitae of the proposed \\nInstructor In-charge shall also be a part of the proposal for an EMF for its approval. \\n6.6.4 Running of EMFs shall be coordinated by respective disciplines who will announce \\nEMFs running in a semester. \\n6.6.5 Barring the scheduled examination period, EMFs may run for any duration of the \\nsemester in which they are offered. Efforts shall be made to ensure that they are \\noffered in two or more parts and only in very specific cases, it will be run in \\ncontiguous manner. However, (i) the Title and th e Course Number, (ii) Dates of \\nLectures, (iii) the Course Content and (iv) the Name of the Instructor(s), for them \\nshall be compulsorily announced at the time of the Semester Registration. \\n6.6.6 Students registered in an EMF shall be graded on the basis of mark s obtained in \\nassignments, one or more quiz zes, and a final examination. The Instructor will \\nannounce at the beginning of the course the break -up of marks for attendance (if \\nany), assignments, quizzes, exam, etc. \\n6.6.7 Grading for the EMF shall be done by the I nstructor and will be submitted to the \\nacademic office through Head of the concerned discipline. \\n6.7 On-line Courses: Following structures of on -line courses are allowed for UG and PG \\nstudents. \\n \\nNPTEL VII Semester B. Tech. \\nGIAN UG & PG \\nSWAYAM Full Course UG & PG \\nBlended form \\n \\nThe guidelines for on-line courses are \\ni) The UG student is allowed to take online course in 5th semester onwards and PG \\nstudents in any semester against an elective. They are allowed to take at most two \\nonline courses throughout the programme. \\nii) The weightage of the online course will be 2 credits. \\niii) The evaluation process for the online courses will be same to the evaluation scheme \\nof UG and PG courses. \\niv) The instructor will arrange at least one contact hour in a week for discussion in \\naddition to examination duration. \\nv) The students can take these courses as audit/credit course. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 17}, page_content='18 \\n \\nvi) A faculty can float at most one online course and it will be consider equivalent to \\n25% load of the regular classroom course. \\nvii) A student is not allowed to repeat a course already done as a regular/ online course. \\n6.8 Summer Courses: \\ni) Backlog course means drop course or course with F grade. \\nii) To minimize the number of backlog courses, atmost three summer courses shall be \\nfloated in the summer for first year students. Also, the c ourse shall be floated for first \\nyear students if 10 or more students have backlogs in that course. \\niii) The courses for forth year students and above will be floated only in the summer on \\ngenuine reasons like extension of degree or similar. \\niv) The courses floated as per conditions ( b) and ( c) above will be open to all other \\nstudents if they have backlogs in that courses. \\nv) A student can take maximum of two backlog courses in the summer. However, a \\nstudent shall be allowed to take only one backlog course in summer a long with PBI. \\nAlso, two backlog courses shall be allowed to student to register in the regular \\nsemester along with PBI. \\nvi) A student in 8th semester can register one extra backlog course as a special request. \\nvii) The summer courses will be consist of 10 weeks including one week for examination \\nviii) A faculty can take maximum of 6 hour Lectures and 2 hour tutorial in a week in \\nthe summer. \\nix) A faculty can take maximum of two weeks of leave during the summer if he will take \\nany course in the summer. \\nx) The list of course offered in summer term will be finalized by APCS and the list will \\nbe sent to concern discipline for assignment of Instructor subject to availability and \\nreadiness of Instructors and proper conduct of courses. \\nxi) Also, the list will be sent to time table coord inator for fixing of slots for classes and \\nexaminations. \\n7. Examinations \\n7.1 Conditions under which students shall be admitted to the degree / \\ndiploma \\ni) All students enrolled in the undergraduate / master’s programmes are admitted to the \\ncandidacy for the Bachelor’s / Master’s degree. \\nii) A student enrolled in the Doctoral programme is formally admitted to the candidacy \\nfor the Doctoral degree after he/she has completed: \\ni) the minimum credit requirements of the Course work with minimum CPI of 7.0. \\nAND \\nii) has successfully completed the comprehensive examination. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 18}, page_content='19 \\n \\n7.2 Conditions for examinations \\n7.2.1 The student may be allowed to appear in the examination if: \\ni) She/ he has formally registered in the course/ project/ lab/ thesis \\nii) She/ he fulfills the minimum requirement of the attendance, res idence, and any \\nother relevant requirement(s) \\n7.2.2 The evaluation of the UG and PG students in a course except EMF will be a \\ncontinuous process and shall be based on their performance in end semester written \\nexamination, one mid semester written examination and a minimum of two \\nassessments in the form of quizzes/ short test/ assignments/ seminars/ course projects. \\n7.2.3 Large deviation from recommended mode of evaluation as mentioned in section 2 \\nabove, needs prior approval from the Dean Academic. \\n7.2.4 Makeup for any abse nce from mid semester/ test/ quizzes will be at the discretion of \\nthe Instructor. Instructor needs to be convinced that the reasons for absence are \\ngenuine. \\n7.2.5 If a student, for some bonafide reasons such as illness, at home etc. fails to appear in \\nthe end-semester examination in one or more course(s), she/he may make a request \\non a prescribed form, personally or through someone to the Dean Academic through \\ninstructor-in-charge for make-up examination within two days of the date of the \\nscheduled examination. Such a request must be substantiated by justified reasons and \\nproper document (e.g. a certificate f rom the Institute’s Medical Officer for failure to \\nappear in the examination due to illness). The decision of Dean Academic will be \\nfinal in this regard. The makeup examination will be conducted as per Academic \\nCalendar. \\n7.2.6 The schedule for the mid-semester examination, end -semester examination and \\nmake-up examination ( if any) is prepared and announced by Academic office in \\naccordance with Academic Calendar. \\n7.2.7 If a Doctoral Student registers for more than 8 thesis credits in a semester prior to \\nComprehensive examination, she/he has to register for research seminar in that \\nsemester. Research seminar will be evaluated by the RPC (Research Progress \\nCommittee) of the scholar and the scholar will be awarde d ‘S’ or ‘X’ grade based on \\nher/ his satisfactory or unsatisfactory performance respectively. Academic \\nprogramme of a research scholar will be dropped in case she/he accumulates three or \\nmore X’s towards research seminars. \\n7.2.8 After completion of course work, a doctoral student need to give a comprehensive \\nexamination. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 19}, page_content='20 \\n \\n7.3 Condition for Degree/ Diploma \\n7.3.1 A student is deemed to have completed the requirements for award of \\ndegree/diploma, if she/he: \\ni) has completed successfull y minimum academic requirements for the award of \\ndegree \\nii) completed the minimum requirement of residence \\niii) paid all dues to the Institute and the Halls of Residence, and \\niv) no case of indiscipline is pending against her/him. \\n7.3.2 A student who completes all the gradu ation/ post-graduation requirements specified \\nin Section 1 above shall be recommended by the Senate to the Board of Governors \\n(BOG) for the award of the appropriate degree / diploma in the ensuing convocation. \\nThe degree/ diploma can be awarded only after the BOG accords its approval. \\n7.3.3 Under extremely exceptional circumstances, where gross violation of the graduation \\nrequirements is detected at a later stage, the Senate may recommend to the Board of \\nGovernors for withdrawal of a degree already awarded. \\n7.4 Minimum academic requirements for the award of degree \\n7.4.1 Undergraduate students \\nA student enrolled in the undergraduate programme (B.Tech./B.Des.) shall formally \\nbecome eligible for the Bachelor’s degree after she/he has completed: \\ni) completing the minimum credit re quirements of Course/ Project work as per the \\napproved curriculum AND \\nii) have at least the minimum required CPI of 5.0 AND \\niii) Satisfied all the additional requirements specified by the Discipline and approved \\nby the Senate, if any AND \\niv) Satisfied all the requirements specified in Institute Ordinances and by the Senate. \\n7.4.2 Master’s students \\nA student enrolled in the Master’s programme shall formally become eligible for the \\nMaster’s degree after he/she has: \\ni) completed the minimum credit requirements of each of the following \\n\\uf0d8 Coursework \\n\\uf0d8 Graduate seminars and \\n\\uf0d8 Thesis/ Project work, \\nAND \\nii) have at least the minimum required CPI of 6.5 \\nAND \\niii) must have successfully defended her/his thesis and submitted her/ his final thesis \\nAND \\niv) satisfied all the additional requirements specified by the Discipline and approved '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 20}, page_content='21 \\n \\nby the Senate, if any, \\nAND \\nv) satisfied all the requirements specified in Institute Ordinances and by the Senate. \\n7.4.3 Doctoral students \\n \\nA student enrolled in the Doctoral programme shall formally become eligible for the \\nDoctoral degree after he/she has: \\ni) completed the minimum credit requirements of each of the following \\n\\uf0d8 Course work \\n\\uf0d8 Teaching work \\n\\uf0d8 Progress Seminars and \\n\\uf0d8 Thesis work \\nAND \\nii) have at least the minimum required CPI of 7.0 in course work \\nAND \\niii) must have successfully defended her/his thesis and submitted her/ his final thesis \\nAND \\niv) Satisfied all the additional requirements specified by the Discipline and approved \\nby the Senate, if any \\nAND \\nv) Satisfied all the requirements specified in Institute Ordinances and by the Senate. \\n7.5 Minimum and maximum duration of a programme \\n7.5.1 The minimum duration for completion of undergraduate programmes shall be of \\neight regular semesters. \\n7.5.2 The minimum duration for completion of both Master’s and Doctoral programmes \\nshall be of 4 semesters and for Doct oral students directly admitted to Ph.D. \\nprogramme after B.Tech. shall be of 6 semesters. \\n7.5.3 The minimum duration for completion of Doctoral programmes under part time \\ncategory shall be of 6 semesters. \\n7.5.4 The maximum duration under which the undergraduate progr amme is to be \\ncompleted, irrespective of the category of the student, shall be 6 years. \\n7.5.5 The maximum duration under which the Masters programme is to be completed, \\nirrespective of the category of the student, shall be 4 years. \\n7.5.6 The maximum duration under whi ch the Doctoral programme is to be completed, \\nirrespective of the category of the student, shall be 6 years. In exceptional cases, the \\nSenate is empowered to give extension. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 21}, page_content='22 \\n \\n7.6 Conditions and mode of appointment and duties of examining \\nbodies, examiners and moderators \\ni) Instructor in charge of a course shall be empowered to evaluate and submit the \\ngrades at the end of the semester in that course as per the academic calendar. \\nii) The instructor will announce the modes of evaluation and distribution of weightage \\nfor each of the assessments at the beginning of the course in his class and through \\nits web page. \\niii) Instructor-in-Charge will maintain academic record for a period of one year after \\nthe end of the semester. In case, the Instructor -in-Charge is changed/ transferr ed or \\nleaves the organization the same needs to be handed over to the next Instructor -in-\\nCharge or Head of the discipline. \\niv) Conduction of all the examination in fair manner is the responsibility of the \\ninstructors in that course. Academic office and concern ed discipline will help in the \\nproper conduct of the exam. \\nv) Dean Academic or her/ his nominee can assign duty of any faculty as invigilator \\nduring the mid/end semester exams. \\nvi) Invigilators will be responsible for the fair conduct of the exams and is authoriz ed \\nto take appropriate action for the fair conduct of exams. \\n7.7 Moderations \\ni) Grades submitted by the instructor will not be changed. In exceptional case, grades \\nmay be changed based on the proper justification by the instructor incharge on \\nrecommendation of APCS and approved by the Chairperson Senate. \\nii) In cases where grades are having large deviation from the normal curve, Head of \\ndiscipline shall constitute a committee of three faculty members (including the \\ninstructor incharge) for moderation of the grades submitted by an instructor. \\niii) If further deviations are observed , Dean Academic is authorized to propose a \\ncommittee of three faculty members (including the Head of the concerned \\nDiscipline or nominee) for moderation of the grades. As per the recommendation of \\ncommittee, the Instructor shall change the grade and submit to academic office. The \\nchanged grades will require authentication of the Chairperson, Senate. \\n7.8 Advisory and progress committees for the undergraduate \\nstudents \\n7.8.1 There will be a Discipline Undergra duate Committee (DUGC) for each discipline. \\nDUGC will consist of Head of the discipline or his/her nominee as the convener and \\ntwo to three more members based on different specializations of the specific '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 22}, page_content='23 \\n \\ndiscipline. DUGC will be constituted by the Head of the concerned discipline. \\n7.8.2 DUGC will be guiding undergraduate students in deciding the courses and project \\nsupervisor(s), if any, after she/he takes admission in the Institute. DUGC will also \\nmonitor the progress of a student. \\n7.9 Advisory and progress committees for postgraduate students \\n7.9.1 There will be a Discipline Post Graduate Committee (DPGC) for each discipline. \\nDPGC will consist of Head of the discipline or his/her nominee as the convener and \\ntwo to three more members based on different specializations of the specific \\ndiscipline. DPGC will be constituted by the Head of the concerned discipline. \\n7.9.2 DPGC will be guiding a student (Masters/Ph.D.) in deciding the courses and \\nsupervisor(s), after she/he takes admission in the Institute. DPGC will also monitor \\nthe progress of a student until she/ he decides a supervisor. \\n7.9.3 A Master s’ student is required to decide her/his supervisor at the end of the first \\nsemester \\n7.9.4 A Ph .D. student is required to decide her/his supervisor in the beginning of first \\nsemester. \\n7.9.5 Once a stude nt makes a decision about his supervisor(s), she/he will register for the \\nthesis credits on the recommendation of the supervisor. \\n7.9.6 In the case of Master students DPGC will constitute a PGPC (Post Graduate Progress \\nCommittee) for a group of students, based on their common research areas. Each \\nstudent will be assigned to one of the PGPCs formed by the DPGC, based on her/his \\nresearch topic. Supervisor(s) of the student will be members of the PGPC. The PGPC \\nwill constitute of Supervisor(s) and two faculty member from the discipline. \\n7.9.7 In case of doctoral students, Supervisor(s) will propose members of the RPC \\n(Research Progress Committee). Application for the registration of supervisor(s) and \\nRPC/ PGPC will be forwarded by the Convener DPGC to the Dean Academic, w ho \\nwill be the approving authority for the same. DPGC/ Dean Academic may also add \\none or two members in the RPC if required. The RPC will consist of Supervisor(s), \\ntwo faculty members from the discipline and one faculty member from other \\ndiscipline. \\n7.9.8 During the period in which student has not decided the supervisor, Head of the \\nconcerned Discipline or his nominee will be forwarding all applications of the \\nstudent related to leave, assistantship or other such matters. \\n7.9.9 If a student wishes to add another super visor (as a co -supervisor) during her/his \\nacademic programme, she/he will submit a request to the Dean academic through \\nher/his supervisor. Such applications will be recommended by the DPGC to the Dean '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 23}, page_content=\"24 \\n \\nAcademic for final approval. \\n7.9.10 A student shall not norma lly have more than two supervisors at any given time. At \\nleast one supervisor of the student must be from the concerned discipline except for \\nthe degree programmes which do not fall under a specific discipline. \\n7.9.11 On the recommendation of DPGC and approval of Dean Academic, a student may \\nhave a co-supervisor from outside the Institute in exceptional cases. \\n7.9.12 If a student's supervisor proceeds on long leave, resigns/retires or otherwise ceases \\nto be a faculty member of the institute, the supervisor has the respo nsibility to \\nappoint a co -supervisor or a supervisor in consultation with the student. \\nNevertheless, in such a case, the supervisor is required to get approval from the \\nDean Academic. In this case the number of supervisors may be more than two if an \\nexternal supervisor already exists. In this case the entire responsibility of the student \\nlies with co-supervisor or the new supervisor, as the case may be. \\n7.9.13 In exceptional cases, a postgraduate student may be permitted to change \\nsupervisor/co-supervisor on reco mmendation of PGPC/RPC after obtaining the \\nconsent of \\ni) the present supervisor/co-supervisor and \\nii) the proposed supervisor/co-supervisor. \\n7.10 The conduct of examinations \\n7.10.1 There will be continuous assessment of a student's performance throughout the \\nsemester and grades shall be awarded by the Instructor concerned or the appropriate \\ncommittee appointed for this purpose on the following basis: \\ni) In case of \\n\\uf0d8 Theoretical subjects, the evaluation will be based on instructors assessment \\nbased on the performance in quizzes, mid semester examination, end \\nsemester examination, and any other component decided by the instructor(s). \\n\\uf0d8 Laboratory/Design/Drawing/Studio/Workshop etc., the evaluation will be on \\nthe basis of attendance, assessment of the tasks assigned, end semester \\ntest/viva and any other component decided by the instructor(s). \\n\\uf0d8 The evaluation of the project courses will be based on work carried out, \\nseminar, project report, project evaluation committees’ assessment and any \\nother component decided by the instructor(s). \\nii) The mid-semester and end -semester examination shall be conducted for regular \\ncourses by the Academic Section / Respective Discipline of the Institute. The \\nclass-tests or quizzes will be organized by the instructor concerned. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 24}, page_content='25 \\n \\niii) The weightage assigned to di fferent components of assessment will be \\nannounced by the concerned instructor(s) in the beginning of the semester. \\niv) The final letter grades for a subject must be submitted after the end -semester \\nexamination by the concerned instructor(s) within the date s tipulated in the \\nacademic calendar. \\nv) End-semester examination answer scripts and the sheet containing details of \\nmarks converted to grades shall be preserved by the instructor(s) concerned for a \\nperiod of one year. \\n7.10.2 Changes in Grades awarded shall be made as per the procedure s laid down by the \\nSenate. \\n7.10.3 The evaluation of performance in extra academic activities, if any shall be done by \\nthe authorities conducting them and they will communicate grades to the Academic \\nSection. \\n7.10.4 A student may be debarred from appe aring in the end semester examination due to \\nthe following reasons: \\ni) If any disciplinary action is taken against him/her. \\nii) On recommendation of a course instructor, if his/her attendance in the Lecture/ \\nTutorial/ Practical classes has not been satisfactory during the semester. \\n7.10.5 Students who fail to appear in end semester examination, due to bonafide reasons, \\nmay be permitted to appear in the Make -up Examination as per the procedures laid \\ndown by the Senate. \\n7.10.6 No make-up examination will be scheduled for the m id-semester examination and \\nquizzes. It is entirely upto the instructor to ascertain the proficiency of the student \\nby whatever means considered appropriate to him/her if he/she is satisfied of the \\nbonafides of the case. \\n7.10.7 Grades shall be withheld when the student has not paid his/her dues or when there is \\na disciplinary action pending against him/her. \\n7.10.8 Procedure of Comprehensive Examination of Doctoral students: \\ni) Students registered in the Doctoral programme must pass a Comprehensive \\nExamination designed to test the overall comprehension of the student in various \\nsubjects relevant for his/her field of specialization. A student can appear in the \\nComprehensive Examination only after he/she has completed the minimum \\ncourse requirements and satisfied the minimum specified CPI requirement. \\nii) Students may appear in the Comprehensive Examination at the earliest at the end \\nof the first semester but latest by the end of fourth semester from the admission \\nand registration in the Doctoral programme. The above time limits are exclusive \\nof the period of sanctioned leave, if any. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 25}, page_content=\"26 \\n \\niii) The Comprehensive Examination shall be conducted as written and oral. \\niv) The Comprehensive Examination Board of a Doctoral student shall be same as \\nhis/her RPC . The thesis supervisor of the student sh all be the Convener of the \\nComprehensive Examination Board. The thesis supervisor(s) will send the \\nComprehensive Examination Board with the date of written and oral \\nexamination to the Dean (Academic) through DPGC for approval. \\nv) The Comprehensive Examinatio n Board will float atleast 6 subjects in the \\ndirection of the student research work. The student will opt two courses from the \\nfloated courses for written examination. \\nvi) After written examination, the student is allowed for oral examination. \\nvii) A student shall be considered to have passed the Comprehensive Examination if \\nall members of the Board, except at the most one member, are satisfied with \\nstudent's performance in the examination. The convener of the Comprehensive \\nExamination Board shall be responsible t o send the report of the Comprehensive \\nExamination to the Dean, Academic for approval through Convener, DPGC. \\nviii) If a student fails in the Comprehensive Examination in his/her first attempt, a \\nsecond Comprehensive Examination shall be conducted by the same B oard that \\nwas constituted earlier unless otherwise changed by Dean Academic on the \\nrecommendation of the DPGC. A student shall be recommended for termination \\nif he/she fails to pass the Comprehensive Examination even after two attempts. \\nAll such cases shall be brought to the notice of the Senate. \\nix) After the comprehensive examination , Doctoral Student needs to register for \\nprogress seminar in every semester till she/he appears for the open seminar. \\nx) After the completion of comprehensive examination, Doctoral Student needs to \\nregister total teaching credits of two (2) in two different semesters. \\n7.10.9 Thesis submission for evaluation by postgraduate students: \\n\\uf0d8 A Doctoral candidate shall be allowed to submit the thesis within the \\nstipulated time after successfully completion of the open seminar. \\n\\uf0d8 It will be duty of the student submitting the thesis to check the thesis against \\npossible plagiarism. \\n\\uf0d8 Master’s thesis for evaluation shall be submitted to the Convener DPGC or \\nnominee through supervisor. Date of thesis submis sion will be considered as \\nthe date on which thesis is received by the Convener DPGC. \\n\\uf0d8 Doctoral thesis for evaluation shall be submitted to the Dean Academic or \\nnominee through supervisor. The thesis should be forwarded by the Convener \\nDPGC. Date of thesis submission will be considered as the date on which \\nthesis is received by the Dean Academic. \\n7.10.10 Open Seminar by Doctoral Students \\ni) Before proceeding to finalize the thesis, each Doctoral student shall be required \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 26}, page_content='27 \\n \\nto deliver an Open Seminar. \\nii) A student shall beco me eligible to give open seminar after completion of all \\nacademic requirements for the Doctoral Programme including thesis work. \\niii) The seminar, which will be delivered to the faculty and students of the concerned \\ndiscipline(s), shall deal with research work done by the Doctoral candidate with \\nthe objective of obtaining comments and criticism, if any, which may be \\nincorporated in his/her thesis before its submission. \\niv) The student required to submit a draft of thesis to the academic office before the \\nopen seminar. \\nv) The thesis supervisor/ programme coordinator shall constitute a committee for \\nopen seminar. The committee shall comprise of \\n\\uf0d8 RPC members of the student \\n\\uf0d8 One nominee of the Dean Academic. \\nThe thesis supervisor/programme coordinator shall act as the Conve ner of the \\ncommittee. The committee shall be approved by the Dean Academic. \\n7.10.11 Thesis evaluation for the Master’s students shall be coordinated by the head of \\ndiscipline ( Convener DPGC ) or her/his nominee. Thesis evaluation for the \\nDoctoral students shall be coordinated by the Dean Academic or her/his nominee. \\n7.10.12 Defense of the Master’s student shall be carried out by a defense board consists of \\nPGPC of the student, one external examiner and a member other than the \\ndiscipline, and shall be approved by the Dean Ac ademic. The details for the \\nevaluation of thesis are given below \\n\\uf0d8 Three experts for a group of 4 -8 students depending on area of \\nresearch/specialization wise will be proposed by Head/programme \\ncoordinator and approved by the Dean, Academic. \\n\\uf0d8 The thesis and synopsis of 6 -8 pages (after the approval of Supervisor and \\nconvener DPGC) will be submitted in discipline on or before 1 st July and the \\nViva-voice will be scheduled between 01st July to 15th July. \\n\\uf0d8 All communications to the external expert and arrangement of viva-voice will \\nbe done by Head/programme coordinator/Head nominee of the Discipline and \\nhe/she will submit the final grade to the academic office. \\n\\uf0d8 Only synopsis will be sent to external expert for reference. \\n\\uf0d8 The final thesis after viva -voice will be s ubmitted by the student in the \\nacademic office (one hard copy and soft copy). \\n\\uf0d8 Students, those could not submit their theses before the registration of next \\nsemester, are required for the registration in next semester. \\n\\uf0d8 The evaluation of thesis through viv a-voice will be done through letter \\ngrades (S, X and F). In case of F, the student has to register in the next \\nsemester. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 27}, page_content=\"28 \\n \\n7.10.13 Defense of the Doctoral students shall be carried out by a defense board proposed \\nby the supervisor of the student and consisting of RP C of the student and one \\nexternal examiner, and shall be approved by the Dean Academic. Along with the \\nthesis, the student shall submit a synopsis of 6 -7 pages. A pannel of experts (six \\nfrom India and six from abroad) shall proposed by the supervisor to th e Dean \\nacademic through the convener, DPGC. The panel will go to chairperson Senate \\nfor approval. The thesis will be sent to three experts (atleast one from India) for \\nevaluation. \\n7.10.14 Reports of Doctoral thesis evaluation from the examiners, received in the \\nAcademic Section of the Institute, shall be placed before Dean Academic who \\nshall categorize them in one of the following three categories: \\ni) Category I \\nIf an examiner suggests corrections regarding punctuation, grammar, spelling or \\nlanguage, the report shal l be considered of Category I. In such a case, thesis \\nsupervisor(s) may use his/her/their discretion regarding incorporation of such \\nsuggestions. \\nii) Category II \\nIf an examiner points out minor technical mistakes, raises some queries or suggests \\nmodifications but does not imply that the acceptance of the thesis is subject to \\nremoval of these defects to the examiner's satisfaction, the report shall be \\nconsidered Category II. In such a case , t he supervisor shall send the student's \\nresponse to the queries raised to the Dean, Academic and t he same shall be \\nincorporated in the thesis to the satisfaction of the Thesis Defense Board . The \\nexaminer(s) concerned shall be informed by Dean Academic of the changes made \\non the basis of his/her/ their suggestions. \\niii) Category III \\nIf an examiner raises technical points or suggests modifications which must be \\nanswered/ carried out to the examiner's satisfaction before the thesis is accepted the \\nreport shall be considered of Category III. In such a case, the supervisor shall send \\nthe student's response to the queries raised to the Dean, Academic and , along with \\nthe examiner's comments which will be sent to the examiner with a request to \\nrespond within six weeks. If the examiner's response is not received within this \\nperiod, a reminder shall be sent and if no reply is received within six weeks, further \\naction will be initiated. \\n7.10.15 If one of the examiners outright rejects the thesis, the matter shall be referred to \\nthe Chairperson Senate for deciding the further course of action. If two o r more \\nexaminers reject the thesis, the thesis shall be out rightly rejected. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 28}, page_content='29 \\n \\n7.10.16 The defense of a thesis shall be required to be necessarily conducted within six \\nmonths from the date of receiving of all the examiners’ report. If the concerned \\nstudent fails t o appear for the defense within this period, her/ his programme \\nwould be deemed to have been terminated. \\n7.10.17 If a thesis is rejected along with a recommendation for resubmission after \\nincorporating any modifications/ corrections suggested by the Thesis Defens e \\nBoard, defense of the re -submitted thesis shall be conducted by the originally \\nconstituted Board, unless a different Board is approved by the Chairperson Senate. \\nIf the re-submitted thesis is also rejected, the matter shall be reported to the Senate \\nfor an appropriate action. \\n7.10.18 Final thesis submission: \\nAfter successful defense, the student will submit an abstract, a hard bound copy and \\na soft copy of the final thesis to the library after incorporating changes suggested by \\nthe committee, if any and approval of the chairperson Senate. The thesis supervisor \\nshall authenticate that all the suggestions of the Thesis Defense Board have been \\nincorporated in the revised copy. \\n7.11 Grades and performance indices \\n7.11.1 For the purpose of indicating the relative performance of a Bachelor’s and Master’s \\nstudent in a given course, the Instructor shall awards letter grades. These letter \\ngrades, along with their correspondence points on 10 points-scale are given below: \\nO = 10, A+ = 10, A = 9.0, B+ = 8.0, B = 7.0, \\nC+ = 6.0, C = 5.0, D+ = 4.0, D = 3.0, F = 2 \\n \\nHowever, for Doctoral students in a given credit course, the Instructor shall award \\nthe following letter grades: \\nA = 10, B = 8.0, C = 6.0, D = 4.0, F = 2 \\nwhere the letter grade F indicates that the students has failed in a given course and \\nhe has to repeat the course. If performance of some of the students in a course is \\nexceptionally good, they will be awarded letter grade ‘O’. The letter grade ‘O’ shall \\ncarry 10 points. Letter grade ‘O’ can be awarded to maximum 2% students out of \\ntotal students registered in that course. \\n7.11.2 If, due to genuine reasons, a student does not complete all the requirements of a \\ncredit course within the specified time period, the Instructor may award I grade \\n(incomplete). However, the instructor shall be required to convert an I grade to the \\nproper letter grade on or before the last date for such a conversion, as specified in \\nthe Academic Calendar , failing which it shall automatically be converted to F \\ngrade. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 29}, page_content='30 \\n \\n7.11.3 The grade S implies satisfactory performance and the grade X implies \\nunsatisfactory performance. Both S and X grades have no correspondence points. \\nSimilarly, grade W implies waiver in a given course. \\n7.11.4 The course mentioned as Thesis and Teaching Work is not awarded any letter grade \\nbut is given as satisfactory (S) or unsatisfactory (X). \\n7.11.5 At the end of each semester, thesis supervisor(s) of a student registered with \\nhim/her/them shall assess the progress made towards the thesis work and shall \\naward either S ( satisfactory) or X ( unsatisfactory) for every 4 credits of thesis \\nregistered for. A student registered for 16 credits of thesis in a semester can get one \\nof the following five combinations: SSSS, SSSX, SSXX, SXXX, XXXX. \\n7.11.6 In case a PG students is allowed to visit premier Institutes of India and abroad for \\ntheir research work, the grades submitted by their external mentors through internal \\nsupervisor may be considered as thesis grades in the running semester in which \\nstudent was under supervision of external mentor. \\n7.11.7 At the end of each semester, faculty member(s) with whom a student is associated \\nas Teaching Assistant shall assess his/her performance towards the teaching work \\nand shall award either S ( satisfactory) or X ( unsatisfactory) grade. A student \\nassociated with “n” number of courses as Teaching As sistant in the entire tenure of \\nhis/her programme should secure a minimum of 0.75n S grades (i.e. 75% of the \\ngrades secured for teaching work should at least be S) in his/her entire programme \\nto earn 2 credits of teaching work in order to fulfil minimum requirement for his/her \\ndegree. \\n7.11.8 If a student is on leave for a part of the semester OR submits his/her thesis in the \\nmiddle of a semester, his/her thesis credits shall be reduced appropriately in a \\nproportionate manner. \\n7.11.9 The courses Graduate Seminar and Progress Seminar carry 2 credits and shall be \\nawarded letter grades. \\n7.11.10 The Semester Performance Index (SPI) of a student is an indicator of his/her \\noverall academic performance in all the courses he/she registers for during the \\nsemester, is computed as follows: \\n𝑆𝑃𝐼 = 𝐶1𝐺1 +𝐶2𝐺2 +𝐶3𝐺3 +⋯\\n𝐶1 +𝐶2 +𝐶3 +⋯ \\nwhere G1, G2 are the letter grades in courses of credits C1, C2 .. respectively. \\n7.11.11 While calculating the SPI, courses (i) with S and X grades and (ii) registered as \\naudit courses are not counted. \\n7.11.12 The Cumulative Performance Index (CPI) indicates the cumulative academic '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 30}, page_content='31 \\n \\nperformance of a student in all the courses taken including those taken in the last \\nsemester. \\n7.12 Inadequate Academic Performance \\nUndergraduate: \\nInadequate academic performa nce shall be as per the extend rules of the Institute as \\napproved by the Senate. The academic performance of each undergraduate student of \\na regular semester (not summer semester) is considered inadequate if her/his SPI ≤ 4.5 \\nor CPI ≤ 5.0. Such a student is termed academically deficient. Depending on the \\ndegree of inadequacy, a deficient student may be placed on Warning or Academic \\nImprovement, Academic Break or Academic Drop. For academically deficient students, \\nSPI/CPI will be calculated till 1 decimal point. \\n7.12.1 Warning \\nA student is placed on Warning if her/his SPI and CPI at the end of a regular \\nsemester are as follows: \\ni) *0.0 < SPI ≤ 4.5 and CPI ≥ 5.0 OR \\nii) SPI ≥ 4.5 with CPI < 5.0 and in the previous regular semester CPI ≥ 5.0 \\n \\n*For first year, first semester student only SPI will be considered. \\nSuch a student is issued a letter of warning with a copy to her/his parents/ \\nguardian. \\n7.12.2 Academic Improvement \\nA student is put on academic improvement if her/his SPI and/or CPI at the end of a \\nregular semester are/is as follows: \\ni) SPI < 4.5 and CPI < 5.0 OR \\nii) SPI < 3.0 OR \\niii) CPI < 5.0 in two consecutive regular semesters \\nSuch a student is required to sign an undertaking incorporating the following \\nterms and conditions: \\ni) Her/ his academic load shall be re duced by at least one c ourse (at least 4 \\ncredit), \\nii) She/ he shall register for all courses (if available) in which the letter grade F is \\nobtained, \\niii) She/ he shall, in addition, repeat those courses (if available) in which the letter \\ngrade D / D+ secured if she/ he accumulates two or more F grades. \\niv) She/ he shall pass at least three courses, '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 31}, page_content='32 \\n \\nv) She/ he shall obtain a minimum SPI of 4.5. \\nvi) She/ he shall not hold any elected or nominated position/ office in the Hall of \\nResidence, Students Gymkhana or any other organization/body during \\nacademic deficiency. \\nvii) Any other terms/ conditions laid down by the Senate. \\nviii) Institute has the right to terminate her/ hi s term failing any of the above \\nconditions. \\nix) The parents/guardians are required to countersign the undertaking. \\n7.12.3 Academic Break and Academic Drop \\nIf the academic performance of a student under “academic improvement” in a \\nsemester does not improve (either has not passed at least three courses or has not \\nsecured a minimum SPI of 4.5) at the end of the semester, the student will have the \\nfollowing two options and will be allowed to choose only one in consultation with \\nhis parents/ guardian: \\ni) Academic Drop \\nThe student drops his programme and leaves the Institute with immediate effect \\nwithout getting any degree. \\nii) Academic Break \\nThe student will be put on academic break for one year (including one summer term) \\nand will be allowed to improve his performance in courses in which he scored a grade \\nless than C (i.e. D+ or D or F). It is expected that student will impro ve his academic \\nperformance to get a CPI of 5.0 at the end of academic break. \\n \\nRegistration for a student on academic break will be done as per following \\nguidelines: \\ni) A student can register for maximum of four courses in a semester during t he \\nperiod of academic break. \\nii) A student is required to first register for backlog courses offered in that \\nsemester. \\niii) In case she/ he is having less than 4 backlog courses, she/he can opt for \\nmaximum two forward courses (courses of higher semester). \\niv) Application of a student to register in a forward course will be duly \\nrecommended and forwarded by DUGC for approval of the Dean (Academic). \\nv) A student may be permitted to register only for PBI if she/he has cleared all \\ncourses up to six semesters but is still on academic break. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 32}, page_content='33 \\n \\nA student will be out of academic break \\ni) if she/he is able to score “CPI of 5.0 or more” at any assessment during the \\nacademic break or at the end of a year. In such a case, she/he will be allowed to \\ncontinue her/his programme as a regular student. H owever she/he has to first \\nclear all backlogs. \\nOR \\nii) if she/he is able to show significant improvement in academic performance. \\nThat is “SPI of 6.0 or above” and “not having more than 2 backlogs”, at the end \\nof each assessment. Such students will be placed o n Academic Improvement. \\nHowever she/he has to first clear all backlogs. \\nAcademic programme of a student will be dropped at the end of academic break with \\nimmediate effect, in case she/he does not satisfy requirements. This will be termed as \\n“Academic Drop ”. The student leaves the Institute with immediate effect without \\ngetting any degree. Maximum duration for programme will be 6 years including \\nacademic break. \\n \\nPost Graduate: \\n7.12.4 A deficient student may be allowed to continue in the programme, by issuing a \\nwarning, if \\ni) Her/his SPI in the first semester she/he registers for ≥ 6.0 but < 6.5 for Master \\nprogramme OR \\nii) Her/his SPI in the first semester she/he registers for ≥ 6.5 but < 7.0 for Doctoral \\nprogramme, OR \\niii) Her/his SPI is below 6.5 and CPI ≥ 6.5 in semester two and abov e of her/his \\nmaster programme OR \\niv) Her/his SPI is below 7.0 and CPI ≥ 7.0 in semester two and above of her/his \\ndoctoral programme \\nv) She/ he accumulates one or more “X” grade against the thesis credits \\n7.12.5 The programme of a Master student is likely to be Academically Dropped, if \\ni) Her/his SPI is below 6.0 in first semester OR \\nii) Her/his SPI is below 6.0 and CPI is below 6.5 in subsequent semesters, OR \\niii) Her/his CPI is below 6.5 in two consecutive semester OR \\niv) She/he obtains two Fs OR one F and one D in the same or different courses OR \\nv) SHe/he accumulates 3 or more Xs towards thesis credits. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 33}, page_content='34 \\n \\n7.12.6 The programme of a Doctoral student is likely to be Academically Dropped, if \\ni) Her/his SPI is below 6.5 in first semester OR \\nii) Her/his SPI is below 6.5 and CPI is below 7.0 in subsequent semesters, OR \\niii) Her/his CPI is below 7.0 in two consecutive semester OR \\niv) She/he obtains two Fs OR one F and one D in the same or different courses OR \\nv) She/he accumulates 5 or more Xs towards thesis credits. \\n7.12.7 Termination of Programme (UG & PG) \\nThe programme of a student may be terminated if she/he \\ni) is absent without authorized leave of absence for a major part of the \\nsemester and does not appear in the end-semester examination of the \\ncourses in which she/he is registered. \\nii) involves herself/ himself, in indisciplinary act, in violation of the code of \\nconduct, (in ragging, etc.) and Students Advisory Committee of Senate makes a \\nrecommendation to that effect. \\nThe student leaves the Institute with immediate effect without getting any degree. \\n7.12.8 Appeals against Academic Drop or Termination (UG & PG) \\ni) A student whose programme is either acade mically dropped on account of \\ninadequate academic performance or terminated otherwise h as the right to \\nappeal to the Chairperson, Senate for reconsideration through Dean (Academic) \\nwith justified reason for her/his poor academic performance. \\nii) The Senate shall take a final decision after considering all the available inputs. \\nHowever, the Senate shall not en tertain any further appeal for review unless \\nsubstantial additional information is brought to its notice. \\n8. Change of Branch/ Discipline for B.Tech. Programme \\ni) A student may be allowed change of branch/ discipline on the basis of her/his \\nacademic performance, subject to strength constraints of the disciplines. Change of \\nbranch/ disciplineisaprivilegeandnotarightandisawardednormallytomeritorious students \\nonly. Reservation policy will be applicable as per GOI rules for vacant seats. \\nii) Application for the change of branch/ discipline should be made at the end of second \\nsemester of BTech programme to the Dean Academic. \\niii) Change of Branch/ discipline will be done against the vacant seats and will be based \\npurely on merit basis (CPI of the student towards the end of the second semester). \\niv) The strength of the students in a discipline shall not exceed the l arger of its existing \\nand sanctioned strengths or fall below 60% of its sanctioned strength as a result of '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 34}, page_content='35 \\n \\nbranch/ discipline change. \\nv) Final approval for Change of Discipline will be given by Dean (Academic). \\nvi) Top 5 students of the entire B.Tech. batch shall be eligible to change their branch of \\ntheir choice above the sanctioned strength. \\n9. Academic leaves \\n9.1 Short Leave \\nApplications for any kind of short leave should be addressed to the Head of the \\nrespective discipline for approval. Leave usually must not be a vailed without prior \\napproval of the Head of the respective discipline. In addition, if a student is going out \\nof campus on leave, she/he must inform the Hostel/concerned authorities. Following \\nleaves are allowed to student \\n9.1.1 Causal Leave: A student can avail maximum of 7 days causal leave in a semester \\non valid reason \\n9.1.2 Medical Leave: A student can avail maximum 15 days leave on medical ground \\nin a semester. Permission to grant leave on medical grounds exceeding 15 days in a \\nsemester is to be submitted to the Dean, Academic through Head of the respective \\ndiscipline. \\n9.1.3 Vacational Leave: Maximum 15 day in a semester are allowed to PG students \\nduring mid -semester recess or Institute vacations. The vocational leave shall be \\ncarried over to the next semester if not av ailed and the entire duration of vacation \\nleave shall not exceed 30 days at a time in any case \\n9.2 Temporary Withdrawal / Semester Leave \\nA student is not normally allowed to withdraw from the academic programme \\ntemporarily and is expected to complete her/his studies without any break. \\nHowever, for bonafide reasons and/or in exceptional circumstances, a student may be \\nallowed to withdraw temporarily on leave of absence or semester leave at the \\ndiscretion of Dean (Academic) on the recommendation of Head Disciplin e for an \\nextended period. Such leave of absence(s) shall ordinarily not exceed two semesters \\nwith or without break during the entire period of the academic programme. Except for \\nmedical reasons, the Semester Leave shall not be granted unless the student ha s \\ncompleted at least 2 semesters in the programme. \\nA student who remains on authorized leave of absence due to ill health is required to \\nsubmit a certificate from a Registered Medical Practitioner (verified by Institute’s \\nMedical Officer) to the effect tha t she/he is sufficiently cured and is fit to resume \\nher/his studies. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 35}, page_content='36 \\n \\n9.3 Duty Leave \\nA student shall be permitted to proceed outside the Institute on Duty Leave for \\nmaximum of 15 days in a year to carry out field work, library work, experimental \\nwork, laborato ry work and for other research/academic work permitted by the Dean \\nacademic on the recommendation of Supervisor and Discipline Head. In exceptional \\ncases if the period of Duty Leave is required to exceed 15 days, permission would \\nrequire a prior approval f rom the Chairperson Senate. Duty leave cannot be combined \\nwith vacation leave. \\n9.4 Maternity/Paternity Leave \\nA married student may avail Maternity/paternity Leave as per policy laid down by the \\ngovernment of India time to time. If supported by a proper medical certificate, leave up \\nto 6 weeks may also be granted to married female student against miscarriage \\nincluding medical termination of pregnancy. \\nAn absence against maternity/paternity leave beyond the permissible period shall \\nnormally entail financial loss. \\n9.5 Leave to Proceed to other Institutions \\nIn order to encourage a student to broaden her/her horizon and gain course/work \\nexperience, she/he may be permitted to proceed to other academic institutions in India \\nor abroad as a non-degree student. \\n9.5.1 An student who has (a) completed first four semesters (UG)/two semester (PG) of \\ncourse work, (b) obtained a CPI ≥ 8.0 and (c) accumulated no backlog of courses may \\nbe allowed to spend up to two semesters and/or two summer terms in any academic \\ninstitution of repute in India or abroad with prior permission of the Senate. \\n9.5.2 Such a student shall make an application to the Dean (Academic) through Head \\nDiscipline giving details of the proposed programme and shall submit a statement of \\npurpose with sufficient information abo ut the institution where she/he has chosen to \\nspend time as a non -degree student along with possible credit transfer. Dean \\n(Academic) shall take recommendations of APCS for credit transfer. Dean \\n(Academic) will place the application to the Senate for approval. \\n9.5.3 Against each course or requirement for which a waiver is granted, the letter ‘W’ \\nwould appear on the Grade Report and all such courses will be deemed to carry zero \\ncredits for SPI/CPI calculations. \\n9.5.4 Those students who are selected by the Institute, us ing prescribed rules and \\nprocedures, to proceed on any Institutional Exchange Programme will also be \\ngoverned by above mentioned criteria. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 36}, page_content='37 \\n \\n10. Discipline \\n10.1 Academic Dishonesty \\nA student is assessed in various ways for the award of degree. It is fundamentally \\nimportant that students are assessed fairly. Any attempt to use unfair means to gain \\nadvantage over another student in the completion of an assessment, or to assist \\nsomeone else to gain an unfair advantage, is considered as academic dishonesty. All \\nincidents of the use of unfair means must therefore be investigated promptly, \\nthoroughly and fairly. The basic principle underlying the preparation of any piece of \\nacademic work is that the work submitted must be the student’s own work. Following \\nare considered as unfair means: \\n10.1.1 Plagiarism (either intentional or unintentional) \\nIt is using of ideas or work of another person (including experts and fellow or former \\nstudents or copied from internet) and claiming them as your own. Plagiarism may take \\nthe form of cutting and pasting, taking or closely paraphrasing ideas, passages, \\nsections, sentences, paragraphs, drawings, graphs and other graphical material from \\nbooks, articles, internet sites or any other source and submitting them for assessment \\nwithout appropriate ackn owledgement. Any form of plagrism shall be considered \\ndishonest, unprofessional, unethical and therefore unacceptable. \\nPossible Actions: \\nThe case will be referred to Dean (Academic). Dean (Academic) will refer this case to \\nAPCS for investigation. APCS will submit its recommendations to senate through \\nDean (Academic) and further course of action will be based on Senate decision. \\n10.1.2 Collusion \\nIt is where two or more students work together to produce a piece of work, all or part \\nof which is then submitted by eac h of them as their own individual work. This \\nincludes passing on work in any format to another student. Collusion does not occur \\nwhere students involved in group work are encouraged to work together to produce a \\nsingle piece of work as part of the assessment process. \\n10.1.3 Fabrication \\nIt is submitting work (for example, practical or laboratory work) any part of which is \\nuntrue, made up, falsified or fabricated in any way. This is regard ed as fraudulent and \\ndishonest. \\n10.1.4 Unfair means in examination \\nIt is gathering information from any kind of sources (such as mobile phone or bringing \\nduplicates, etc.) or any such attempts, exchange or helping in exchange of information \\nwith others or any such attempts during the examination (quiz, mid semester or end '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 37}, page_content='38 \\n \\nsemester examination or any other examination), either inside the examination hall or \\noutside the examination hall. Bringing a source (such as mobile phone or duplicate, \\netc.) will also be considered under unfair means. \\n10.1.5 Facilitating the use of unfair means. \\nIt is a kind of unfair means that a student assists a fellow student in using any of the \\nforms of unfair means defined above, for example in submitting bought or \\ncommissioned work or showing answer to other fellow student during examination, \\netc. \\n10.1.6 Possible Actions (for 10.1.2 to 10.1.5) \\nThe Instructor -in-Charge/ Invigilator of a course shall have the power to debar a \\nstudent from the examination in which the student is detected to be using unfair \\nmeans. Following procedure to be adopted: \\n\\uf0b7 Concern Instruct or-in-charge will investigate the case at his level. If it is in \\nexamination hall, invigilator will submit his report to Instructor-in-charge. \\n\\uf0b7 Instructor-in-charge of the course will call for the written explanation from the \\nstudent and subsequently will decide the level of unfair means and takes a decision \\nout of: \\ni) Level I: Making assessment of that part of the exam zero or Imposing a penalty of \\ndecrease in final grade by one or two grade points or Marking “F” in that \\nparticular course \\nii) Level II: Instructor may refer a more serious case to Dean (Academic), provided \\nthere is sufficient and clear evidence of use of unfair means. Claims by the \\nstudent not to have understood the nature of unfair means, to have included the \\nmaterial unintentionally, or to have pe rsonal mitigating circumstances, should not \\nbe accepted as good reason for the case to go unreported. These may be \\nsignificant issues for the student not the facts of the case. \\n\\uf0b7 In case, the case is referred to Dean (Academic), either investigation will be done \\nby himself/ herself or a committee constituted by Dean, Academic. \\n\\uf0b7 The Dean (Academic) will forward/submit its recommendation to the Chairperson \\nSenate for approval. \\n\\uf0b7 A letter should be sent to the student and her/his parent/ guardian and the case is \\nrecorded on the file of the student. \\n\\uf0b7 A student found to be involved in use of unfair means may not be eligible to \\nreceive any scholarship/prizes/award from the Institute during the entire period of \\nher/ his programme. \\n10.2 Non-academic Indiscipline \\nThe actions on the students will be taken as per guidelines of SACS. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 0}, page_content=\"B.Tech/ B,Des \\nSemester-I \\n \\n \\nSubject Code NS1002 Course Title Engineering Mechanics \\nContact Hours L-2, T-1, P-2 Credit 4 \\nProgramme B.Tech Semester I \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%),Lab (20%) End term (40%) \\nScalars and Vectors, Cartesian and curvilinear coordinate system, Newtons law: statics and dynamics, \\ncentre of mass and variable mass problem, work and energy, stable and unstable equilibrium, collisions in \\ntwo dimension: Laboratory and COM frame [07H] \\nDouble and triple integrals, Line, surface & volume integrals, Gradient, Divergence & Curl (in Cartesian \\nand curvilinear coordinates), Line, surface, volume integrals, Guass’s and Stoke’s theorem (problems and \\nphysical significance) [07H] \\nRotational motion, Torque, Angular m omentum, Moments of Inertia, pure rotation and center of \\npercussion (example), combined translation and rotation & the role of centre of mass, Chasles' Theorem, \\nMoments of Inertia. [07H] \\nMoment of inertia tensor, Principal Axes of Inertia, Finding the Principal Axes; Eigenvalue Equations, \\nPrecession of a Top due to a Weak Torque & gyroscopic motion [07H] \\nLab experiments: \\n1. Introduction to error analysis \\n2. Spring oscillation apparatus \\n3. Simple pendulum \\n4. Moment of inertia of a flywheel \\n5. Determine g by Bar pendulum \\n6. Tortional pendulum \\n7. Sonometer \\n8. Stoke’s law \\n9. Newton’s law of cooling \\nText/Reference books: \\n1. Introduction to mechanics: Daniel Kleppner , Robert J. Kolenkow \\n2. Mathematical Methods in the Physical Sciences: Mary L. Boas \\nSubject Code NS1001 Course Title Mathematics-I \\nContact Hours L-3, T-1, P-0 Credit 4 \\nProgramme B.Tech Semester I \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\nModule 1: Calculus of Functions of One Variable: \\nReal Numbers, Functions, Sequences, Limit and Continuity, Differentiation : Review, Successive \\ndifferentiation, Chain rule and Libni tz Theorem, Rolle’s and Mean Value Theorems, Maxima/Minima, \\nLinear and Quadratic approximations, Error estimates, Taylor’s Theorem, The Riemann Integrals, Improper \\nIntegrals, Infinite series, Tests of convergence, Absolute and Conditional convergence, Tayl or and \\nMaclaurin series. [21H] \\nModule 2: Calculus of Functions of Several Variables: \\nScalar fields, Limit and Continuity, Partial derivatives , Chain rules, Implicit differentiation, Directional \\nderivatives, Total differential, Tangent planes and Normals, directional derivative, Maxima/Minima and \\nSaddle points, Constrained maxima and minima, Double Integrals, Change of variables. [14H] \\nModule 3: Vector Calculus: \\nVector fields, Divergence and Curl, Line Integrals, Green’s Theorem, Surface Integrals, Divergence \\nTheorem, Stoke’s Theorem and applications. [07H] \\nText/Reference books: \\n1. Calculus and Analytic Geometry by G.B. Thomas and R.L. Finney, \\n2. Introduction to Real Analysis by R. G. Bartle and D. R. Sherbert. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 1}, page_content=\" \\nSubject Code DS1002 Course Title Design Fundamentals 1 \\nContact Hours L-2, T-0 P-2 Credit 3 \\nProgramme B. Des Semester 1 \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nIntroduction to design – Nature of design, Aesthetic sense, Role of perception, Gestalt principle, \\nInspiration, concepts, problem solving Product integrity (consistency between a product’s function \\n With its structure and customer expectations) [07H Lecture,+3H Lab] \\nOriginality (originality in technology and form; plagiarism) Craftsmanship required transforming an \\nidea to a product etc. An introduction to basic elements of Design: Point, Line – Line as Expression, \\nQuality of lines, Symbolic Lines, Line as form etc. Space – Pictorial space, implied space, space \\nillusion, actual space etc. [07H Lecture,+3H Lab] \\nShape & Form– Natural shapes, geometric shapes, abstract shapes, non-representational shapes; \\nNatural forms, geometric forms, abstract forms, non-objective forms. [07H Lecture,+3H Lab] \\nColor – color theory, color properties, color relationships, color harmony, color interaction. Texture - \\ntactile texture, visual texture, texture and pattern, constructed textures, symbolic textures. \\n [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Bervin, M. E. (1984). Design Through Discovery: The Element and Principles. Holt, Rinehart and \\n Winston, Washington. \\n2. Wong, W. (1972). Principles of two -dimensional design. John Wiley & Sons. Sherwin, D. (2010). \\n Creative workshop: 80 challenges to sharpen your design skills. How Books. \\n3. Brommer, G. F. (1994). Collage techniques: A guide for artists and illustrators. Watson-Guptill \\n Publications. Kelley, T., & Kelley, D. (2013). Creative confidence : Unleashing the creative potential \\n within us all. Crown Business. \\n \\nSubject Code DS1003 Course Title Design Drawing \\nContact Hours L-1, T-0, P-3 Credit 2 \\nProgramme B.Des Semester 1 \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nIncluding a combination of engineering and artistic drawing skills. [07H Lecture,+3H Lab] \\nFree hand drawing from natural or manmade environment develops the skill of coordination of mind \\nand hand during the process of representation. [07H Lecture,+3H Lab] \\nFree hand drawing of Isometric (30 -30), Diametric (15 -15), Trimetric (45 -15) and One point. \\n [07H Lecture,+3H Lab] \\nTwo point and Three point perspective in real location. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Nicolaides, K. (1990). The natural way to draw: A working plan for art study. Houghton Mifflin \\nHarcourt \\n2. Laning, E. (1971). The act of drawing. McGraw-Hill Companies. \\n3. Ching, F. D., &Juroszek, S. P. (2010). Design drawing. John Wiley & Sons. \\n4. O'Rourke, N., Psych, R., & Hatcher, L. (2013). A step-by-step approach to using SAS for factor \\n analysis and structural equation modelling. SAS Institute. \\n5. Speed, H. (2012). The practice and science of drawing. Courier Corporation. \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 2}, page_content=' \\nSubject Code DS1004 Course Title Representation Techniques \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Des Semester 1 \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nDifferent ways in design ideas can be represented for better visualization. [07H Lecture,+3H Lab] \\nDevelopment of an analytical attitude and ability to deal with complexity of imagination and \\nvisualization of object from any angle. [07H Lecture,+3H Lab] \\nUnderstanding and representing the structure of forms in detail with wireframes. [07H Lecture,+3H Lab] \\nColor representation in the object drawing with section and exploded view. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Wood, P., & McDonnell, P. (1994). Scientific illustration: a guide to biological, zoological, and \\nmedical \\n rendering techniques, design, printing, and display. John Wiley & Sons. \\n2. Buxton, B. (2010). Sketching user experiences: getting the design right and the right design: getting \\nthe design right and the right design. Morgan Kaufmann. \\n3. Powell, D. (1990). Presentation techniques. New York: Little, Brown & Company. \\n4. Tal, D. (2010). Google Sketch up for site design: a guide to modelling site plans, terrain and \\narchitecture.John Wiley & Sons. \\n5. Zeman, N. B. (2014). Essential Skills for 3D Modelling, Rendering, and Animation. CRC Press. \\n \\n \\nSubject Code HS1001 Course Title Effective Communication Skills \\nContact Hours L-2, T-0, P-0 Credit 2 \\nProgramme B.Tech Semester I \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (30%), Quiz II (10%), End term (50%) \\nWhy English? ,Effective Communication Skills -2l, Technical English -2l, Technical Reports -5 L, Tender \\nNotices-2l, Holding Meetings-3l, Good Presentation-3l, Group Discussion-2l, Curriculum Vitae (Cv), Or \\nResume, Bio-Data, Job Application Letter-3l, Interview-2l, Phonetics.-2l, Grammar-1l \\nText/Reference books: \\n1. Developing Communication Skills- Krishna Menon- Macmillan Publication House. \\n2. Remedial Grammar- F.T. Wood- Macmillan \\n3. Personality Development and Soft Skills- BarunMitra- Oxford Publication House. \\n4. The Ace of Soft Skills: Attitude, Communication and Etiquette for Success- Pearson Education \\n \\n \\n \\nSubject Code EC1001 Course Title Introduction to Profession \\nContact Hours L-1, T-0, L-0, Credit 1 \\nProgramme B.Tech Semester I \\nPre-requisites NIL \\nEvaluation scheme Quiz (100%) \\n Learning Objective: Overview of Electronics and Communication Engineering \\nCourse Detail : \\nModule 1: Introduction to Engineering \\n(history,motivation,ethics,science vs Engineering vs technology) \\nModule 2: Introduction to Electronics and Communication Engineering \\n(history,major areas of ECE) \\nModule 3: Interdisciplinary approach, selection of electives \\nModule 4: Applications of Electronics and Communication Engineering \\nModule 5: Case Studies and Technological Innovations \\n(Embedded System, VLSI and Nano Technology, 5G Communication, Artificial Intelligence, Robotics, Bio '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 3}, page_content='Medical, Microwave and THz Technology, SCADA and Smart Grid etc.) \\nText/Reference books: \\n1. Developing Communication Skills- Krishna Menon- Macmillan Publication House. \\n2. Remedial Grammar- F.T. Wood- Macmillan \\n3. Personality Development and Soft Skills- BarunMitra- Oxford Publication House. \\n4. The Ace of Soft Skills: Attitude, Communication and Etiquette for Success- Pearson Education \\n \\n \\nSubject Code ME1001 Course Title Introduction to Profession \\nContact Hours L-1, T-0, L-0, Credit 1 \\nProgramme B.Tech Semester I \\nPre-requisites NIL \\nEvaluation scheme Quizzes (50%), Assignments (50%) \\n Learning Objective: Birds’ eye view of Mechanical Engineering \\nCourse Detail : \\n1. Essential difference among Science, Engineering and Technology \\n2. Introduction to Mechanical Engineering \\n3. Mechanical Engineering as a profession/career \\n4. Applications of Mechanical Engineering \\n5. Examples and Case Studies \\n6. Technological Innovations \\nText/Reference books: \\n1. Developing Communication Skills- Krishna Menon- Macmillan Publication House. \\n2. Remedial Grammar- F.T. Wood- Macmillan \\n3. Personality Development and Soft Skills- BarunMitra- Oxford Publication House. \\n4. The Ace of Soft Skills: Attitude, Communication and Etiquette for Success- Pearson Education \\n \\nSubject Code SM1001 Course Title Introduction to Profession \\nContact Hours L-1, T-0, L-0, Credit 1 \\nProgramme B.Tech Semester I \\nPre-requisites NIL \\nEvaluation scheme Quizzes (50%), Assignments (50%) \\n Learning Objective: Birds’ eye view of Mechanical Engineering \\nCourse Detail : \\n1. Essential difference among Science, Engineering and Technology \\n2. Introduction to Smart Manufacturing \\n3. Smart Manufacturing as a profession/career \\n4. IoT, IIoT, Industry 4.0 \\n5. Applications of Smart Manufacturing \\n6. Examples and Case Studies \\n7. Technological Innovations \\nText/Reference books: \\n1. Developing Communication Skills- Krishna Menon- Macmillan Publication House. \\n2. Remedial Grammar- F.T. Wood- Macmillan \\n3. Personality Development and Soft Skills- BarunMitra- Oxford Publication House. \\n4. The Ace of Soft Skills: Attitude, Communication and Etiquette for Success- Pearson Education \\n \\n \\n \\nSubject Code DS1001 Course Title Introduction to Profession \\nContact Hours L-1, T-0, L-0, Credit 1 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 4}, page_content='Programme B.Des Semester I \\nPre-requisites NIL \\nEvaluation scheme Quiz: 04: 25% each \\n Learning Objective: \\n Course Detail : \\n1. Introduction to Design \\n2. Advent \\n3. History \\n4. Application Areas \\n5. Design Thinking \\n6. The user in design \\n7. Eminent Designers \\n8. Different facets of Design \\n9. The Design Journey \\n10. Technology and Design \\n11. Design as a profession \\n12. What design can and cannot \\n13. Opportunities in Design \\n14. The Design Canvas \\nText/Reference books: \\n1. Norman, D. (2013). The design of everyday things: Revised and expanded edition. Basic books \\n2. Pipes, A. (2003). Foundations of art and design. Laurence King Publishing. \\n3. Eames, C., & Eames, R. (2004). The India Report. National Institute of Design \\n4. Balaram, S. (2011). Thinking design. SAGE Publications India. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 5}, page_content='B.Tech / B.Des \\nSemester-II \\n \\n \\nSubject Code: NS103b Course Title Linear Algebra \\nContact Hours L-2, T-1, P-2 Credit 4 \\nProgramme B.Tech Semester II \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\n Course Detail - \\n Module 1: Probability: [21H] \\nBasic Set Operations, Algebra and Sigma algebra, Measurable Space, Measure, Measurable Function, \\nProbability Measure. [4H] \\nRandom Variable, Function of Random Variable, Probability Mass Function, Probability Density Functio n, \\nCumulative Probability Distribution Function, Independent Event, Expectation, Variance, Covariance, \\nCorrelation. [5H] \\nConditional Probability Measure, Law of Total Probability, Baye‟s Formula, Baye‟s Theorem, Function of \\nSeveral Variables, Joint and Marginal Distribution Function [4H] \\nMoments, Moments Generating Function, Characteristic Function, Inversion Theorem, Uniqueness \\nTheorem, Important Statistical Inequalities [4H] \\nMode of Convergence, Convergence in Law, Convergence in Measure, Convergence in rth Mean, Almost \\nSure Convergence, Weak Law of Large Numbers, Strong Law of Large Numbers, Center Limit Theorem. \\n [9H] \\nModule 2: Linear Alegbra: [14H] \\nText/Reference books: \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nSubject Code: NS1004 Course Title Physics II \\nContact Hours L-3, T-1, P-2 Credit 4 \\nProgramme B.Tech Semester II \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%),Lab (20%) End term (40%) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 6}, page_content=\"Course Detail : \\nThe Electric Field, Divergence and curl of electrostatic fields, potential and its relation with electrostatic \\nField, The energy of a continuous charge distribution, conductors and induced charges, Laplace's Equation, \\ntheorems regarding boundary conditions, Separation of Variables, The Method of Images. [6H] \\nDielectrics, The field of a polarized object, bound charges, Gauss's Law in the Presence of Dielectrics, \\nEnergy in Dielectric Systems [3H] \\nThe Lorentz Force Law, magneto statics and The Biot -Savart Law, The Divergence and Curl of magnetic \\nfield, The Vector Potential, Magnetization, Effect of a Magnetic F ield on Atomic Orbits: diamagnetism, \\nBound Currents, Ampere's law in Magnetized Materials, Brief idea of ferromagnetism [6H] \\nElectromotive Force, Motional emf, Electromagnetic Induction, energy in magnetic fields, Maxwell’s \\nmodification of Ampere’s law, Maxwell’s equations, Boundary condition [6H] \\nPoynting theorem, Electromagnetic Waves, Reflection and Transmission of a wave, Electromagnetic \\nWaves in Vacuum and dielectric, Energy and Momentum & intensity in Electromagnetic Waves, Reflection \\nand Transmission of light at Normal Incidence, Reflection and Transmission of light at oblique Incidence \\nand Snell’s law [9H] \\nSuperposition of light having same frequency, Coherent and random sources, Yong’s double slit \\nexperiment: superposition by splitting of wave front, parallel film and Newton’s ring: superposition by \\nsplitting of amplitude, Michel sons and Febry perot interferro metre, spatial and temporal coherence [6H] \\n Fraunh offer’s and Fresnel’s diffraction, diffraction from single slit, double slit and grating, resolution, \\n dispersive power and resolution of a grating, Basics of a Laser [6H] \\n Lab Experiments: \\n1. Single slit diffraction of Laser light \\n2. Diffraction due to grating \\n3. Newton’s ring \\n4. Dispersive power of a grating using spectrometer \\n5. e/m by millikan oil drop experiment \\n6. e/m by Thomson method method \\n7. Balmer series \\n8. Charging and discharging of a capacitor \\n9. Frank hertz Experiment \\nText/Reference books: \\n1. Introduction to Electrodynamics: David J Griffiths \\n2. Introduction to optics: Frank L. Pedrotti, Leno M. Pedrotti, Leno S. Pedrotti \\n3. Principles of electromagnetic: Matthew N. O. Sadiku \\n4. Optics: Eugene Hecht \\n \\n \\n \\nSubject Code: DS1006 Course Title: Design Fundamental 2 \\nContact Hours: L-3, T-0, P-0 Credit: 3 \\nProgramme : B.Des Semester : II \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nUnderstanding of characteristics of different elements & their inter-relationship with various elements and \\nto the composition. [07H Lecture,+3H Lab] \\nBalance – Structural balance and visual balance. [07H Lecture,+3H Lab] \\nMaterials, hardware and software etc. [07H Lecture,+3H Lab] \\nSymmetry, Asymmetry, Radial Balance, Golden proportion, Rules of composition, Scale & Proportion - \\nUnity & Variety – Harmony, Rhythm, Perspective, Emphasis, Orientation, and Repetition. \\n [07H Lecture,+3H Lab] \\nText/Reference Books: \\n1. Bervin, M. E. (1984). Design Through Discovery: The Element and Principles. Holt, Rinehart and \\n Winston, Washington. \\n2. Wong, W. (1972). Principles of two-dimensional design. John Wiley & Sons. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 7}, page_content=\"3. Brommer, G. F. (1994). “Collage techniques: A guide for artists and illustrators” Watson-Guptill \\n Publications. \\n \\n \\nSubject Code: DS1007 Course Title: Introduction to Ergonomics in \\nDesign Contact Hours: L-3, T-0, P-0 \\nProgramme : B.Des Credit: 3 \\nPre-requisites: NIL Semester : II \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nGenesis. Systems concepts, evolution. [07H Lecture,+3H Lab] \\nComponents, biomechanics, anthropometry. [07H Lecture,+3H Lab] \\nApplication, relation to design, ergonomics of product, space and communication [07H Lecture,+3H Lab] \\nSector specific application of ergonomics like craft, agriculture, transportation etc [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Bridger, R. (2008). Introduction to ergonomics. CRC Press. \\n2. Chakrabarti, D. (1997). Indian anthropometric dimensions for ergonomic design practice. National \\ninstitute of design. \\n3. Sanders, M. S., & McCormick, E. J. (1987). Human factors in engineering and design McGraw-Hill Book \\nCompany. \\n4. Woodson, W. E., Tillman, B., & Tillman, P. (1992). Human factors design handbook: information and \\nguidelines for the design of systems, facilities, equipment, and products for human use. \\n \\n \\n \\nSubject Code: DS1008 Course Title: Software Skills \\nContact Hours: L-0, T-0, P-3 Credit: 2 \\nProgramme : B.Des Semester : II \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail – \\nSoftware skills related to communication design, specially related to some specific software's used in \\nvisual prototyping, film making, creating special effects. \\nText/Reference books: \\n1. Macario, J. (2008), Graphic Design Essentials: Skills, Software and Creative Solutions, Pearson \\n Publications. \\n2. Henry, K. (2012), Drawing for Product Designers (Portfolio Skills), Laurence King Publishing. \\n3. Eissen, K. (2014), Sketching: Product Design Presentation. BIS Publishers, B.V. \\n \\n \\nSubject Code: DS1005 Course Title Engineering Graphics \\nContact Hours L-2, T-0, P-3 Credit 3 \\nProgramme B.Tech/B.Des Semester II \\nPre-requisites NIL \\nEvaluation scheme Quiz I (5%), Midterm (30%), Quiz II (5%), Lab (20%) End term (40%) \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 8}, page_content=' Introduction [2H] \\nLines, Lettering, Sketching, Principle of Dimensioning, Basic geometrical constructions, Scales, Engineering \\nCurves. \\nOrthographic Projections [3H] \\nPictorial view, Multi -view, Multi-view Drawing, Terminology, First angle projection and its features, Third \\nangle projections and its features, Symbols, Section lines or hatching, Conversion of pictorial view into \\northographic view. \\nProjections of Points [2H] \\nLocation of a point, Conventional representations, Projections of a point located at different locations. \\nProjections of Lines [3H] \\nIntroduction, Orientation of a line, Projections of a line located at different locations, Projections of a line \\nin different angles. \\nProjections Planes [3H] \\nIntroduction, Orientation of a plane, Projections of a plane located at different locations, Trace of a plane, \\nPlane inclined to both the reference planes. \\nProjection of Solids [3H] \\nIntroduction, Classification of solids, Recommended method of labelling, Orientation of solids, Drawing \\nprojections of a solid at different orientation of its axis, Identify visible and hidden lines. \\nSections of Solids [2H] \\nIntroduction, Terminology, Types of section planes, Section by a plane perpendicular to VP, HP and both. \\nDevelopment of Surfaces [2H] \\nIntroduction, Classification of surfaces, Methods of dev elopment, Development of prism, pyramid, \\ncylinders, cone, trays, Applications. \\nIntersection of Surfaces [4H] \\nIntroduction, Engineering Applications, Method of determining the curves of intersection, Types of \\ninterpenetrating solids, Intersection by prism, cylinder, pyramid and cone by another solid. \\nAxonometric Projection [4H] \\nIntroduction, Principles of isometric projections, Terminology, Isometric scales, Four centre method to \\ndraw ellipse, Dimensioning of isometric projection, Isometric view of right solids, solid containing non - \\nisometric lines, truncated solids, composite solids, Conversion of orthographic view into isometric views, \\nOblique projections, Perspective projections. \\nText/Reference books: \\n1. N D Bhatt Engineering Drawing, 49th edition Charoter, Publishing House, 2006. \\n2. B Agrawal and C M Agrawal, Engineering Drawing (2nd Ed), McGraw Hill, New Deli, 2014. \\n3. Dhananjay A Jolhe, Engineering drawing, TMH, 2008. \\n4. T E French, C J Vierck and R J Foster, Graphic Science and Design, 4th edition, McGraw Hill, 1984. \\n5. W J Luzadder and J M Duff, Fundamentals of Engineering Drawing, 11th edition, Prentice -Hall of India, \\n1995. \\n6. K Venugpoal, Engineering Drawing and Graphics, 3rd edition, New Age International, 1998. \\n7. K. Venkata Reddy, Engineering Drawing, 2nd edition, BS Publications, 2008. \\n \\n \\n \\n \\nSubject Code: HS1002 Course Title Culture and Human Values \\nContact Hours L-2, T-2, P-0 Credit 3 \\nProgramme B.Tech Semester II \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (30%), Quiz II (10%), End term (50%) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 9}, page_content=\"A collection of Shlokas from Gita and Upanishads- [2H] \\nPearls of Confucius- [2H] \\nExcerpts from the Arthashastra of Chanakya- [2H] \\nPoems from Tagore’s Gitanjali- [1H] \\nSpeech of Swami Vivekananda- [2H] \\nExcerpt from the book of APJ Abdul Kalam, ‘Ignited Minds’.- [2H] \\nSpeech ‘Tryst with Destiny’ of JawaharLal Nehru- [1H] \\nExcerpts from Hamlet of William Shakespeare- [2H] \\nExcerpts from Bacon’s ‘Of Studies’.- [2H] \\nExcerpts from Mahatma Gandhi’s ‘ Simple Life’.- [1H] \\nThe Gold Frame.- [2H] \\nDeath is a Reality- [1H] \\nCompany You Keep- [1H] \\nThe Temptation of Possession- [1H] \\nDiscretion is the Best Weapon- [1H] \\nAkbar and Tansen- [1H] \\nGender Studies- Woman and Home- Rabindranath Tagore.- [2H] \\nExcerpts from Male Brain and Female brain of Dr.Brizendine.- [2H] \\nText/Reference books: \\n1. “Wisdom Through the Ages - A Reader” Edited and compiled by Prof. Adhikari, Part compilation on \\nGender Studies by Dr.Mamta Anand. \\n2. Gitanjali- Rabindranath Tagore- Macmillian \\n3. Complete Works – William Shakespeare- Oxford Edition \\n4. Complete Works – Swami Vivekananda- Advaita Trust \\n \\nYear Long Courses (Common for B.Des and B.Tech) \\n \\nSubject Code: Course Title Professional Development Course \\nContact Hours L-1, T-0, L-0, Credit 1 \\nProgramme B.Des/B.Tech Semester II \\nPre-requisites NIL \\nEvaluation scheme \\nCourse Detail \\n1: Personal Empowerment \\n(A). Self-assessment to discover one's Strengths, Areas of Improvements and Personality Profile. \\n(B). Effective Communication Skills \\n\\uf0b7 Word Power enhancement \\n\\uf0b7 Attention to Detail: spacing, punctuation, spelling, and other finer aspects \\n\\uf0b7 Verbal and non-verbal communication skills \\n\\uf0b7 Written English with emphasis on writing grammatically correct technical/official letters, \\napplications and reports. \\n\\uf0b7 Getting rid of inhibitions and building confidence \\n\\uf0b7 Assertive and Submissive communication \\n\\uf0b7 Using Language for Convincing and Persuasion \\n\\uf0b7 Art of asking Questions \\n\\uf0b7 Practice sessions \\n(C). Personal Grooming, Formal Dressing and Body Language \\n\\uf0b7 Basics of Power Dressing \\n\\uf0b7 Corporate Dress Code \\n\\uf0b7 Importance of Self Grooming and Personal Hygiene \\n\\uf0b7 Gestures & Postures, Tone of Voice, Voice Modulation \\n\\uf0b7 Workplace Etiquette & Culture \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 10}, page_content='\\uf0b7 How to introduce yourself \\n \\n \\nB.Tech Semester III \\n \\n \\nSubject Code: CS2002 Course Title Computer Organization and Architecture \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme \\nIntroduction: Functional components and operational concepts of a computer, Performance of a \\ncomputer. [04H] \\nMemory Subsystem: Semiconductor memories: SRAM and DRAM cells, Internal organization of a \\nmemory chip, Organization of a memory unit, Error correction, Read -Only Memories, Interleaved \\nMemories, Cache Memories: Concept, Mapping methods, Caches in commercial processors, Memory \\nmanagement unit: Concept of virtual memory, Address translation, Hardware support for memory \\nmanagement, Secondary storage: Hard Disks, RAID, Optical Disks, Magnetic Tape Systems. [10H] \\nInput/Output Subsystem: Access of I/O devices, I/O ports, I/O control mechanisms: Program controlled \\nI/O, Interrupt controlled I/O, and DMA controlled I/O, I/O Interfaces: Serial port, Parallel port, PCI bus, \\nSCSI bus, USB bus, FireWire and InfiniBand. [10H] \\nRepresentation of Instructions: Computer Arithmetic, Machine Instructions, Operands, Instruction \\nSets: Addressing Modes, Instruction Formats, Instruction set architectures: CISC and RISC architectures \\n [05H] \\nProcessing Unit: Organization of a processor: Registers, ALU and Control Unit, Data path in a CPU, \\nInstruction cycle, Instruction Pipelining, Organization of a control unit: Control Unit Operations, \\nHardwired control unit, Microprogrammed control unit. [10H] \\nIntroduction to Multiprogramming and Multiprocessing. [03H] \\nText/Reference books: \\n1. C. Hamacher, Z. Vranesic and S. Zaky, “Computer Organization”, Fifth Edition, McGraw-Hill, 2002. \\n2. M. Morris Mano, Computer System Architecture, Third Edition, Prentice Hall of India, 2007. \\n3. W. Stallings , “Computer Organization and Arch itecture – Designing for Performance”, Tenth \\nEdition, Prentice Hall of India, 2015. \\n4. D. A. Patterson and J. L. Hennessy, “Computer Organization and Design – The \\nHardware/Software Interface”, Fifth Edition, Morgan Kaufmann, 2013. \\n5. J. P. Hayes, “Computer Architecture and Organization”, Third Edition, McGraw-Hill, 2002. \\n \\n \\nSubject Code: EC2002 Course Title Digital Electronics and Microprocessor \\nContact Hours L-3, T-0, L-2, Interfacing \\nProgramme B.Tech Credit 4 \\nPre-requisites NIL Semester III \\nEvaluation scheme Quiz I (10%), Mid term (25%), Quiz II (10%), End term (35%), Lab (20%) \\n Learning Objective: To impart basic knowledge of analysis and design of various digital electronics \\ncircuits and knowledge on Microprocessors and Microcontroller to solve real world problems in an \\nefficient manner. \\nCourse Detail : \\nModule 1 : Number Systems and Boolean Algebra, Simplification of functions using Karnaugh map and \\nQuine McCluskey Method, Boolean Function Implementation, Minimization and Combinational Design, \\nExamples of Combinational Digital Circuits, Hazards in Combinational Cir cuits, Hazard free realization. \\n [10H] \\nModule 2: Introduction to Sequential circuits: Latches and Flip-Flops (RS, JK, D, T and Master Slave), Design '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 11}, page_content='of a Clocked Flip -Flop, Flip -Flop conversion, Practical Clocking aspects concerning Flip -Flops. Counters: \\nDesign of Single Mode and Multimode Counters, Ripple Counters, Synchronous Counters, Shift Registers, \\nShift Register Counters and Random Sequence Generators. [12H] \\nModule 3: Introduction to Microprocessors: The 8085 microprocessor architecture, Programmer's \\nmodel, Instruction set, instruction Format, Addressing modes, Machine cycle, Timing diagrams, and \\nmemory map, interfacing memory and I/O devices, The 8085 assembly language programming, Looping, \\nblock transfer, bit manipulation, time delay routines, stack and subroutine, I /O programming, interrupt \\nhandling. [12H] \\nModule 4 : Interfacing of 8085: Handling of I/O ports and port programming using IN/OUT instruction, \\nSTACK handling and Signed Number Arithmetic, Interfacing instructions and control word structure for \\nvarious pins like 8255, 8155, 8279,8259, etc. [08H] \\nText/Reference books: \\n1. Digital Design by M Morris Mano and Michael D Ciletti, Pearson Prentice Hall, 4 th Edition. \\n2. Digital Logic Circuit Analysis and Design by - Victor P. Nelson, H. Troy Nagle, J. David Irwin & Bill D. \\nCarrol, Prentice Hall. \\n3. Microprocessor Architecture, Programming, and Applications with the 8085 by Ramesh Gaonkar, \\nPenram International Publishing; 6th edition. \\n4. Microprocessors and interfacing by Douglas Hall, McGraw Hill Education; 3rd edition. \\n \\nSubject Code: ME2002 Course Title Manufacturing Process \\nContact Hours L-3, T-0, P-2 Credit 4 \\nProgramme B.Tech/B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (40%), lab (20%) \\nIntroduction: Introduction to Manufacturing, Historical Perspective, Importance, etc Mechanical \\nProperties In Design & Manufacturing. [02H] \\nCasting: Fundamentals of casting process, features of casting, Casting Processes, Classification, \\nSignificances. [03H] \\nMetal Forming: Hot & Cold Working, Bulk Deformation processes like Rolling, Forging, Extrusion and \\nDrawing, Sheet metal forming (Shearing & Drawing operation). [03H] \\nMachining: Machining, Mechanism of machining, Chip Formation, Temperature, Tool Wear, Tool Life, \\nMachining Processes, Brief introduction to Single point and multi-point cutting operations. Introduction to \\nGrinding & Finishing. [03H] \\nMetal Joining: Fundamentals of Welding, Classification of welding, processes, Introduction to Gas & Are \\nWelding, Ultrasonic Welding, Friction Welding, Resistance welding, Brazing, Soldering and Adhesive \\nbonding. [03H] \\nPolymers: Polymer products manufacturing, Extrusion, Injection molding, Blow molding , Thermoforming, \\nCompression molding and Transfer Molding. [03H] \\nModern Manufacturing Processes: Introduction to rapid prototyping, classification and various RP \\nprocesses. Introduction to various unconventional machining processes and their classification. \\nIntroduction to automation, Flexible manufacturing systems and CNC. [06H] \\nManufacturing of Electronic Device: Manufacturing of semiconductor devices and silicon wafers. Devices \\nfabrication Techniques, Surface Films Depositions, Lithography, Etching, Processes Integration and \\nPackaging. Printed circuit boards and Techniques for micro / nano fabrication. [05H] '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 12}, page_content='Lab Experiments: \\n1. Practice on various Measuring instruments \\n2. To performed joining of two thick MS plates by V groove Butt Joint using arc welding (MMAW) \\n3. To performed joining of two thin MS plates by Lap Joint using oxy acetylene gas welding \\n4. To learn and practice turning, parting operation on lathe machine \\n5. To perform grooving, threading and knurling operations on lathe machine \\n6. To perform step and taper turning operation on lathe machine \\n7. To learn operations of Vertical Milling M/C and perform a practice job like T Slot Cutting. \\n8. To learn operations on horizontal milling machine and prepare a Spur Gear \\n9. To learn various fitting operations like Drilling, Taping, Radios, Square Cut in MS metal working. \\n10. To learn various sheet metal operations of GI Sheet and prepare a funnel cone by using GI Sheet. \\n11. Process demonstration of Ultrasonic Plastic & Metal Welding \\n12. Process demonstration of Tool Wear Measurement \\nText/Reference books: \\n1. SeropeKalpakjian, Steven R Schmid, “Manufacturing Engineering and Technology”, Pearson \\nEducation. \\n2. Callister, “Materials Science and Engineering” John Wiley & Sons Inc. \\n3. Smith William. “Foundation of Materials Science and Engineering”, McGrwa Hill, 4th Edition. \\n4. V. Raghwan,”Materials Science and Engineering” 5th Edition. \\n5. Mikel P. Groover, “Fundamentals of Modern Manufacturing”, John Wiley & Sons inc. \\n6. John A Schey, “Introduction to Manufacturing Processes”, McGraw Hill 3rd Edition. \\n \\n \\n \\n \\n \\n \\n \\nSubject Code: CS2003 Course Title Database Management System \\nContact Hours L-3, T-0, P-2 Credit 4 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (40%), lab (20%) \\nIntroduction of DBMS: Evolution of Database Management Systems, Concept of data models, database \\nsystem architecture. [05H] \\nData Models: ER Model: ER Schema, entity -sets, ER diagram, Specialization & generalization, \\nAggregation; \\nRelational Model: Relations, Keys, Constraints; ER Schema to Relational model; Relational algebra; tuple \\nand domain relational calculus. [10H] \\nStructured Query Language: SQL data types, Types of SQL commands, SQL operators, Tables, views and \\nindexes, Queries and sub queries, Aggregate functions, assertion, trigger, integrity & SQL, security \\nimplementation with SQL, Embedded SQL. (Will be co vered in the Lab hours. Lab will also include \\nexercises on development of a complete database based application) [10H] \\nDatabase Design: Functional Dependencies, decomposition, canonical cover, Normalizatio n (1NF - 5NF), \\nDependency preservation, multivalued dependencies, Join dependencies. [07H] \\nTransaction Management: Transaction concept, ACID properties, Serializability, Concurrency control \\ntechniques, Recovery concepts and techniques. [05H] \\nStorage Structure & File Organization: Indexing, ordered indices: B+ tree and B tree index files, \\nIntroduction to Client Server and Distributed Databases [05H] \\next/Reference books: \\n1. R. Elmasri, S. B. Navathe, D. V.L.N. Somayajulu, S. K. Gupta, “Fundamentals of Database Systems,” 7 th \\nedition, Pearson Education, 2015. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 13}, page_content='Subject Code: EC203a Course Title Principle of Analog \\nCommunications \\nContact Hours L-2, T-0, L-2 Credit 2 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Evaluation-I: 50%, Evaluation-II 50% \\n Learning Objective: In this course undergraduate students will learn about the signal, system, modulation \\nand transmission of signal using different techniques such as amplitude and angle modulation. \\nCourse Detail : \\nIntroduction to Communication Systems and review of signal & system : Communication network \\nand channel, Difference between Analog and Digital type of signal and Communication, Classification of \\nSignals and systems, Fourier series, Fourier transform and its Properties and examples, Impulse Response, \\nand Transfer Function. \\nAmplitude Modulation: General amplitude Modulation, Double Sideband (DSB) Modulation, Single- \\nSideband and Vestigial-Sideband Modulations. Implementation and generation techniques of AM \\nModulators and demodulators. \\nAngle Modulation: Basic definition, Phase modulation, frequency modulation, relationship between \\nfrequency and phase modulation, bandwidth of power and spectrum of FM signal, Narrowband and \\nwideband frequency modulation, Transmission bandwidth of FM signal, Generation and detection \\ntechniques of angle modulation. \\nText books: \\n1. Haykin, S., “Communication System”, Fourth Edition, Wiley and Sons, 2005. \\n2. Lathi, B.P., “Modern Digital and Analog Communication System”, Oxford University Press, 2006. \\nReference books: \\n1. John G. Proakis and Masoud Salehi, “Communication System Engineering”, Prentice Hall,2006. \\n2. Taub and Schilling, “Principles of Communication System”, Tata McGraw-Hill, 1991. \\n \\n \\n \\nSubject Code: EC203b Course Title Network Theory (Analysis and \\nContact Hours L-2, T-0, P-0 Synthesis) \\nProgramme B.Tech Credit 2 \\nPre-requisites Fundamentals of Electrical \\nEngineering \\nSemester III \\nEvaluation scheme Quiz Exam (40%), Assignment (10%), End-Term (50%) \\nLearning Objective: \\n\\uf0b7 To make the students capable of analyzing any given electrical network. \\n\\uf0b7 To make the students learn how to synthesize an electrical network from a given impedance/ \\nadmittance function. \\n\\uf0b7 To develop hierarchical thinking to see more complex systems as a generalization of simple circuits \\nand techniques. \\nCourse Detail : \\nIntroduction: Network elements, formulation of network equation, network representations, Transient \\nanalysis in RL, RC, and RLC networks with DC and AC excitation, response to step, impulse and ramp \\ninputs, coupled circuits: self -inductance and mutual inductance, coefficient of coupling, and dot \\nconvention. [09H] \\nTwo-Port Networks: Characteristics of linear time -invariant networks, network parameters (short circuit \\nadmittance parameters, open circuit impedance parameters, transmission parameters, image \\nparameters, and hybrid parameters), interconnections of networks (tee and pie circuit representation, \\ncascade, and parallel connections). [08H] \\nGraph theory: Network graphs, tree, branches, chords, fundament al cut -sets and loops, incidence, tie -\\nset, cut-set matrices, and their applications in network analysis. [05H] \\nNetwork Synthesis: Positive real function, physical realizability conditions, Hurwitz property, positive '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 14}, page_content=\"realness, properties of positive real functions, synthesis of R -L, R-C, and L-C driving point functions, Foster \\nand Cauer forms, introduction to two-port network synthesis, and basics of filter design. [06H] \\nText/Reference books: \\n1. M.E. Van Valkenburg, Network Analysis, Prentice-Hall, 2006. \\n2. M.E. Van Valkenburg, Network Synthesis, Prentice Hall, 2007. \\n3. F. F. Kuo, Network Analysis and Synthesis, John Wiley and Sons, 1966. \\n4. S.Seshu and M.B. Reed, Linear Graphs and Electrical Networks, Addison Wesley, 1961. \\n5. N. Balabanian and T.A. Bickart, Linear Network Theory: Analysis, Properties, Design and Synthesis , \\nMatrix Publishers, Inc. 1981. \\n6. L.O. Chua, C.A. Desoer, E.S. Kuh, Linear and Nonlinear Circuits, McGraw Hill, 1987. \\n7. W. H. Hayt Jr., J.E. Kemmerly, Engineering Circuit Analysis, McGraw-Hill, 1971. \\n8. J. A. Edminister, and M. Maqvi, Theory and Problems of Electric Circuits, Schaum's Outline Series, TMH. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nSubject Code: ME2003 Course Title Solid Mechanics \\nContact Hours L-2, T-2, P-2 Credit 4 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Midterm (25%), Quiz II (15%), Assignment (10%), End term (40%) \\nStress & strain: Tension, compression, shearing stress & strain; Poisson’s ratio: stress -strain relationship, \\nHooke’s law; elastic constants and their relations, stress -strain curves, anisotropy & orthotropy, thermal \\nstresses, composite bars. [08H] \\nMembers subjected to flexural loads: Theory of simple bending, bending moment and shear force \\ndiagrams, relationship between bending moment, shear force and load, flexural relation, bending stresses, \\nsection modulus and transverse shear stress distribution. [08H] \\nDeflection of Beams: Differential Equations of the D eflection Curve, Deflections by Integration of the \\nBending-Moment Equation, Deflections by Integration of the Shear -Force and Load Equations, Method of \\nSuperposition, Moment -Area Method, Discontinuity Functions, Use of Discontinuity Functions in \\nDetermining Beam Deflections. [08H] \\nPrincipal Stress and Strain: Principal planes, stresses & strains, maximum normal &shear stresses, Mohr's \\ncircle of stress & strain. [05H] \\nTorsion: Torsional shear stress in solid, hollow and stepped circular shafts, angular deflection and power \\ntransmission capacity. [05H] \\nTheories of Elastic Failures: The necessity for a theory, different theories, significance and comparison. \\n [04H] \\nBuckling: Buckling and Stability, Columns with Pinned Ends, Columns with Other Support Conditions. \\n [04H] \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 15}, page_content='Text/Reference books: \\n1. Beer and Johnston , “Mechanics of Materials”, 5th Edition, McGraw Hill \\n2. James M. Gere, “Mechanics of Materials”, 6thEdition, Thomson Learning Inc. \\n3. Shames and Pitarresi, Introduction to Solid Mechanics, PHI \\n \\nSubject Code: SM2003 Course Title Solid Mechanics + Design of \\nContact Hours L-3,T-1,P-2 Mechanical Components \\nProgramme B.Tech Credit 4 \\nPre-requisites NIL Semester III \\nEvaluation scheme 20% Assignment/ Quiz, 20% Mid Sem, 40% End Term, 20% Lab+ Project \\nLearning Objective: This course will introduce concepts of stress and strain and designing of \\nmechanical components \\nCourse Detail: \\nIntroduction to Design: [02H] \\nDesign requirements, factor of safety, steps in mechanical engineering design \\nStress & strain : [06H] \\nTension, compression, shearing stress & strain; Poisson\\'s ratio stress-strain relationship. Hooke\\'s law, \\nelastic constants and their relations, stress-strain curves, anisotropy & orthotropy, thermal stresses, \\ncomposite bars \\nMembers subjected to flexural loads: [06H] \\nTheory of simple bending, bending moment and shear force diagrams, relationship between bending \\nmoment, shear force and load, flexural relation bending stresses section modulus and transverse shear \\nstress distribution \\nDesign for Simple Stress : [06H] \\nDesign of Cotter and Knuckle Joint Design of Bolted Joints and levers. Design of leaf spring \\nPrincipal Stress and Strain: [04H] \\nPrincipal planes, stresses & strains, maximum normal & shear stresses, Mohr\\'s circle of stress & \\nstrain \\nTorsion and combined loading: [10H] \\nTorsional shear stress in solid, hollow and stepped circular shafts, angular deflection and power \\ntransmission capacity Design of Shafts, keys and Coupling helical torsion spring \\nTheories of Elastic Failures: [04H] \\nThe necessity for a theory, different theories, significance and comparison \\n Design for variable loading: [04H] \\nConcept of variable loading, designing component under variable loading \\nLab experiments \\n1 To perform tensile test on steel and cast iron and compare the results \\n2. To Perform compression and shear test on steel bar and determine compressive strength, shear strength \\nand bending strength of the bar \\n3. To perform bending test on a beam. \\n4. To determine the bending stress & strain in a cantilever beam, using resistance strain gauges. \\n5.To determine the Brinell Hardness/ Rockwell Hardness number for the given specimen \\n6. To determine the energy absorbed by the given specimen by Izod impact Test and Charpy Impact Test. \\n7. To study the effect of cantilever loading on standard rotating bending specimen, also study the \\ncharacteristics of S-N curve for ferrous materials. \\n8. To perform torsion test on a wire. \\n9. 12 Project work \\nText Books: \\n1. Popov EP, Engineering Mechanics of Solid. Pearson Ed \\n2. Shames and Pitarresi, Introduction to Solid Mechanics, PHI \\n3. Shigley J. \"Mechanical Engineering Design\"TMH, 6th Edition 2003 \\n4. Bhandari V., \"Design of Machine Elements\", TMH, 2nd Edition, 2007 \\n5. PSG Data Handbook \\nReference Books: \\n1. Beer, Johnson and Dewolf, Mechanics of Materials\", TMH '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 16}, page_content='2. Kazimi, Solid Mechanics, TMH \\n3. Nash, Theory and problems of Strength of Materials (Schaum\\'s Outline Series), TMH \\n4. Sarkar B., Strength of Materials, TMH \\n5. Hibbler R.C. Mechanics of Materials, Pearson \\n6. Timoshenko and Young, Elements of Strength of Materials, MGH \\n7. Crandall Dahl and Lardner, An Introduction to the Mechanics of Solids, MGH \\n8. Juvinall RC and Marshek K.M. \"Fundamentals \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nSubject Code: EC204a Course Title Electronics Devices and Circuits \\nContact Hours L-2, T-0, P-0 Credit 2 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (40%), lab (20%) \\nReview of theory of semiconductor, PN junction diode theory, contact potential and current components, \\nenergy band diagram for PN Junction, Diode I -V Characteristics, breakdown voltage and leakage current \\nDiode applications rectifier half wave and full wav e with filter design, clipping and clamping circuit \\nanalysis and design, Special purpose diodes zener diode and its application for regulator, varactor diode, \\nPIN diode, tunnel diode, photodiode, Schottkey barrier diode and LED. [10H] \\nJunction field effect transistor (JFET), device structure and physical operation, IV characteristics, n - \\nchannel and p -channel JFET, Biasing and small signal analysis and JEFT applications as voltage amplifier. \\nMOSFET basics, the inversion cannel formation, the derivation of the IV characterises, triode region and \\nsaturation region operation, body effect and channel length modulation, Modeling of the MOSFET, \\nBasing, Common source, common drain, and common gate configurations. MOSFE T as an amplifier and \\nas a Switch, Single stage MOS Amplifier, MOSFET small signal model for analysis of single stage amplifier, \\nhigh frequency MOSFET model and frequency response, Current mirror, differential amplifier using \\nMOSFET. [15H] \\nOperation of BJT, Current Components, currents gains α and β, BJT Biasing and Q point & Regions of \\nOperation, Bias Stability, Transistor in CB, CE, CC configuration, Transis tor leakage current I CBO and I CEO \\nand breakdowns.Introduction to amplifiers, RC Coupled amplifiers, frequency response, Transistor re \\nModel, Transistor H parameter, BJT Small Signal Analysis, BJT and FET High frequency modelling, \\nTransistor as a switch and power dissipation in the transistor. [10H] \\nFeedback Amplifiers, Oscillators (Different types), Differential Amplifiers, power amplifier, Operational \\nAmplifiers and its Applications. Logic Families using BJT and MOSFET for Digital Applications. [07H] \\nLaboratory Experiments \\n1. Introduction to laboratory equipment \\n2. Clipping and Clamping Circuits Design and analysis \\n3. Rectifier full wave with filter design \\n4. Zerner regulator design and analysis \\n5. JFET characteristics and Baising \\n6. BJT as switch performance and measurments and verification by simulations tools (pSpice) \\n7. RC coupled amplifier design and analysis small sigal and high frequency Lab and pSpice \\n8. MOSFET characterstics and various baising \\n9. Single stage MOS Amplifier CS, CD and CG and Cascode stages \\n10. Current mirror using BJT and MOSFET '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 17}, page_content='Text/Reference books: \\n1. Electronic Circuits Analysis and Design, Donald Neamen. \\n2. Microelectronics Circuits 5th Edition BySedra and Smith Oxford Publication \\n3. Electronic Devices and Circuits David A Bell. Oxford Publication \\n4. Integrated Electronics: Analog and Digital Circuits and Systems, Millman Jacob and Halkias, \\nChristos C. ,McGraw Hill 2004 \\n5. Electronics Device and Circuit TheoryBoylestad,Robert L. and NashelskyLouis,Ninth Edition, Printice \\nHall of India 2005 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nSubject Code: EC204b Course Title Instrumentation and Measurement \\nContact Hours L-2, T-0, P-0 Credit 2 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (40%), lab (20%) \\nCourse Detail: \\nBasic terminologies (range, span, settling time dead zone, input impedance), Static and Dynamic \\ncharacteristics, first order and second order instruments with step, ramp and sinusoidal input, output \\ncharacteristics. [05H] \\nStrain gauge, derivation of gauge factor, strain gauge rosette, unbalanced wheatstone bridge, AC bridges \\nfor capacitance, inductance, phase and frequency measurement. Ultrasonic and its applicat ions for \\nmeasurement of flow, displacement and non-destructive testing. [05H] \\nLVDT, phase compensation, phase sensitive demodulation, thermistor and its linearization, RTD, its \\nconstruction, three wire and four wire method Muller bridge, The rmocouple, their relative comparison, \\ncold junction compensation using AD590, grounded thermocouple, potentiometer as displacement \\nsensor, Capacitance as displacement and level transducer, push pull arrangement, Pressure transducer \\n[Bourdon gauge, diaphragm gauge (metal and semiconductor) etc]. [08H] \\nSignal Conditioning Circuits, Quantization, Resolution, Sample and Hold Circuits, Analog (Successive \\nApproximation, Ramp, and Flash) and Digital (R-2R, Binary weighted) Converters. [04H] \\nText/Reference books: \\n1. Measurement Systems Application and Design, Ernest O. Doebelin, McGraw-Hill \\n2. Principles of Industrial Instrumentation,2e. Front Cover. Patranabis. Tata McGraw-Hill \\n3. Clarence W de Silva, MECHATRONICS - An Integrated Approach, CRC Press \\n4. Alan S Morris, Measurement and Instrumentation Principles, Butterworth-Heinemann \\n \\nSubject Code: ME2004 Course Title Engineering Thermodynamics \\nContact Hours L-3, T-2, P-0 Credit 4 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Quiz II (10%), Midterm (20%), Quiz III (10%), Assignment (10%), End \\nterm (40%) \\nCourse Detail : \\nIntroduction to Thermodynamics, Systems, Properties, State of a system. Thermodynamic Equilibrium, \\nProcesses; Zeroth law of thermodynamics, Ideal Gas, Work and Heat Transfer, Principles of Energy \\nConversion, Energy Interactions, First Law, Energy Transport Mechanisms, Point and Path Function, '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 18}, page_content='Internal Energy. [12H] \\nFirst Law applied to various Processes; Constant Volume, Constant Pressure, Isothermal, Reversible- \\nadiabatic, etc.; Applications of First Law to Flow and Non-flow Processes. [12H] \\nSecond Law of Thermodynamics, Kelvin-Planck and Clausius statements; Carnot theorem; Available \\nEnergy, Entropy, Heat Engine, Heat Pump. [12H] \\nApplications: Gas Power Cycles, Otto, Diesel and Brayton; Vapour Power Cycles, Rankine Cycle, Power \\nPlant Operation; Refrigeration Cycles. [12H] \\nText/Reference books: \\n1. Fundamentals of Thermodynamics by Sonntag (Wiley) \\n2. Fundamentals of Engineering Thermodynamics by Moran and Shapiro (Wiley) \\n3. Thermodynamics: An Engineering Approach by Cengel and Boles (TMH) \\n4. Engineering Thermodynamics by P K Nag (TMH) \\n \\n \\n \\n \\n \\n \\nSubject Code: NS2001 Course Title Biology for Engineers \\nContact Hours L-2, T-0, P-0 Credit 2 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme \\nCourse Detail : \\nCells, Cellular Organelles, Nucleic Acids (DNA, RNA structure and function), Proteins - Different levels of \\nstructures, Folding and mis-folding, Protein Purification techniques; Enzymes, Carbohydrates, Lipids \\n& Lipid membranes, Drug Discovery. Topics would emphasize importance of biomolecule vis -à-vis \\nnumerous every day applications. \\nText/Reference books: \\n1. Berg, J. M., Tymoczko, J.L., and Stryer, L., Biochemistry, W.H. Freeman & Company, 6th edition, \\n 2006. \\n2. Alberts, B., Alexander, J., Lewis, J., Raff, M., Roberts, K., Walter, P., Molecular Biology of the Cell, 6th \\n edition, Garland Science Publishing, 2007. \\n3. Donald Voet, Judith G. Voet, Charlotte W. Pratt, Fundamentals of Biochemistry: Life at the Molecular \\n Level, Publisher : Wiley; 5th edition (29 February 2016) \\n \\n \\nIT Workhop I \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 19}, page_content=\"Subject Code: IT2E01 Course Title Matlab and Simulink, Pspice \\nContact Hours L-0, T-0, P-2 Credit 2 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Lab Assignments (20%), Quiz (20%) End-Term (60%) \\nLearning Objective: Learning the software tools MATLAB, Simulink and Pspice for solving and applying on \\nelectronic circuits. \\nCourse Detail : \\nMATLAB \\nIntroduction of MATLAB, \\nBasic Operation of Differentiation, Integration, Linear Equations, matrix operations to solve system of \\nlinear equations, Convolution with practical application \\nPlotting Functions: Plot subplot, Histogram, bar chart, curve fitting \\nLogical Operators and Functions, Graphical User Interface \\nSignals processing tool box, Impulse, step, and response of LTI systems. \\nFourier transform and Laplace Transform \\nSimulink \\nBuilding simple Simulink simulations. \\nRunning Simulink simulation to predict a system's behaviour. \\nPSpice \\nIntroduction to PSpice and components, Simple Dependent Sources, Transient Analysis, Steady State AC \\nAnalysis with the transistor, Simulation of Transistor as an amplifier in CE,CB and CC mode, Frequency \\nResponse, Special Sources, Pulse Sources, SIN Sources, Voltage & Current Controlled Switches, Sub -\\ncircuits with Op-amp examples with PSpice, \\nText/Reference books: \\n \\n \\nSubject Code DS2005 Course Title Studies in Form \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nSimple geometric form, complex forms, nature and form, human figure, space and form, color and form \\netc. [07H Lecture,+3H Lab] \\nTo appreciate and articulate the language of form, to sensitize students towards manipulation of forms \\nin 2D and 3D also Form integration and transition. [07H Lecture,+3H Lab] \\nExperiment with different aspect of forms; understand nature and structure of form, basic techniques of \\nForm. [07H Lecture,+3H Lab] \\nManipulation and their applications to generate Forms and Shapes with desirable objects. \\n [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Hann, M. (2013). Structure and Form in Design: Critical Ideas for Creative Practice. A&C Black. \\n2. Warell, A. (2001). Design Syntactics: A functional approach to visual product form Theory, Models, \\nand Methods. Chalmers University of Technology. \\n3. Boden, M. A. (2012). Creativity and art: three roads to surprise. \\n \\nSubject Code DS2006 Course Title Industrial Design 1 \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Des Semester III \\nPre-requisites NIL \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 20}, page_content='Evaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nSimple products, product color and aesthetics. [07H Lecture,+3H Lab] \\nSimple products, Design from consumers point of view, product language. [07H Lecture,+3H Lab] \\nAesthetic aspect, functionality, product semantic, meaning of sign and symbol, product analysis, product \\nform and psychology. [07H Lecture,+3H Lab] \\nWhite goods, medical products, complex products etc. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Heufler, G. (2004). Design basics. NiggliVerlag. \\n2. Bramston, D. (2010). Basics Product Design 03: Visual Conversations (Vol. 3). AVA Publishing. \\n3. Bramston, D. (2008). Basics Product Design 01: Idea Searching (Vol. 1). AVA Publishing. \\n4. Cuffaro, D&Zaksenberg, I (2013) The Industrial Design Reference & Specification Book. \\n \\nSubject Code DS2007 Course Title Communication Design 1 \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\n Communication basics, semiotics, semantics, and typography and: Introduction to Communication \\nDesign. [07H Lecture,+3H Lab] \\nEffective Communication, Human Perception, Aesthetics, Emotion and Subjectivity, Visual Perception \\nand Cognition: Human Eye, Optical Illusion, Color Perception, Depth Perception, Motion Perception. \\n [07H Lecture,+3H Lab] \\nVisual Language: Semiotics - Semantics, Syntactic, Pragmatics, Sign - Design of Icon, Index, Symbol and \\nLogo. Visual Hierarchy: Visual Focal, Visual Order, Eye Movement, Visual Flow and Continuity, Visual \\nComposition [07H Lecture,+3H Lab] \\nInformation Design: Information Chunking, Grids, Visual Abstraction of Quantitative information, \\nApplication of Gestalt Laws of grouping, Information Graphics. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Malamed, C. (2011). Visual language for designers: principles for creating graphics that people \\nunderstand. Rockport Pub. \\n2. Arnheim, R. (1969). Visual thinking. Univ of California Press. \\n3. Bertin, J. (1981). Graphics and graphic information processing. Walter de Gruyter. \\n4. Barry, A. M. (1997). Visual intelligence: Perception, image, and manipulation in visual \\ncommunication.SUNY Press \\n5. Meirelles, I. (2013). Design for information: an introduction to the histories, theories, and best \\npractices behind effective information visualizations. Rockport publishers. \\n6. Krum, R. (2013). Cool infographics: Effective communication with data visualization and design. John \\nWiley & Sons. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 21}, page_content=' \\n \\n \\n \\n \\n \\n \\nOE1 Choose any one course from below electives \\n \\n \\nSubject Code: OE2E01 Course Title Sensors and Actuators \\nContact Hours L-0, T-0, P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (30%) Lab (30%) \\n1. Introduction: Classification of sensors and actuators, sensing and actuating strategies, general \\nrequirements for interfacing and actuation, sensing, transduction, actuation. [02H] \\n2. Performance Characteristics of Sensors and Actuators: Input/output characteristics, accuracy, errors, \\nrepeatability, sensitivity analysis, hysteresis, Nonlinearity, saturation, frequency response, dynamic \\ncharacteristics, calibration, resolution, excitation, impedance, applications. [03H] \\n3. Temperature Sensors and Thermal Actuators: Thermoresistive sensors: Thermistors, Resistance \\ntemperature sensors, Silicon resistive sensors, Thermoelectric sensors, PN junction temp erature sensors, \\nOptical and acoustic temperature sensor. [03H] \\n4. Optical sensors: Photodiodes, phototransistors and photoresistors based sensors, Photomultipliers, \\nlight- to-light detectors, infrared sensors (thermal, PIR, AFIR, thermopiles), CCD sensors and detectors. \\n [03H] \\n5. Electric and Magnetic Sensors and Actuators : Motors as actuators (linear, rotational, stepping \\nmotors), magnetic valves, inductive sensors (eddy current, LVDT, RVDT, Proximity), Hall Effect sensors, \\nMagnetoresistive sensors, Magnetostrictive sensors and actuators, Magnetometers (fluxgate, search -\\ncoil, Squid), Voice coil actuators (speakers and speaker-like actuators), Bolometers (microwaves). [04H] \\n6. Mechanical Sensors and Actuators: Accelerometers (capacitive, piezoelectric, piezoresistive, thermal), \\nForce sensors (strain gauges, tactile sensors), Pressure sensors (semiconductor, piezoresistive, capacitive, \\nVRP), Gyroscopes (mechanical, optical, fiber-optics). [05H] \\n7. Acoustic Sensors and Actuators: Ultrasonic sensors (piezoelectric, electromagnetic), Piezoelectric \\nactuators, Piezoelectric Resonators, Microphones, hydrophones, speakers, buzzers. [03H] \\n8. MEMs and Smart Sensors: Micro-Electro-Mechanical (MEMs) Sensors and Actuators, Smart sensors, \\nASIC based sensors, Wireless Sensors and Issues Associated with Wireless Sensors, Sensor Arrays). [03H] \\n9. Interfacing Methods and Circuits: Amplifiers: operational amplifiers, power amplifiers, A/D and D/A \\nconverters, bridge circuits, interfacing to microprocessors, data transmission, excitation methods and \\ncircuits, Power requirements, signal translation, isolation, noise, interference, compensation \\n(Temperature, drift, etc.). [02H] \\nLab work \\n1. Experiment on Strain Gauge. \\n2. Experiment on LVDT. \\n3. Digital-to-Analog converter using R-2R & Binary. \\n4. Experiment on Optical Transducer. \\n5. Study of H-Bridge & design using Transistors. \\n6. Study of PWM (Pulse Width Modulation) & its use to control the speed of a DC Motor. \\n7. Study of Stepper Motor & its control circuit. \\n8. Study of Servo Motor & its control circuit. \\n9. Assembly of Speaker (Study of Voice Coil Actuator). \\n10. Experiment on Basic Op -Amp Circuit & its use as comparator. \\n11. Demonstration of Piezoelectric Actuation. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 22}, page_content='12. Construction of Project. \\nText/Reference books: \\n1. Ida, N., Sensors, Actuators, and their Interfaces; Scitech Publishing \\n2. deSilva, Sensors and Actuators: Control System Instrumentation, CRC Press \\n \\n \\nSubject Code: OE2E02 Course Title Probability and Random Processes \\nContact Hours L-0, T-0, P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme 10 % (Quiz 1), 20% Mid Sem, 10 % (Quiz 2), 40% End Sem, 20% Project \\n Learning Objective: Basics of probability to design and study probabilistic models \\nCourse Detail : \\nIntroduction to probability: mathematical background - sets, set operations, sigma and Borel fields; \\nclassical, relative -frequency and axiomatic definitions of proba bility; conditional probability, \\nindependence, total probability, Bayes’ rule; repeated trials; random variables: cumulative distribution \\nfunction, continuous, discrete and mixed random variables, probability mass function, probability density \\nfunctions. [10H] \\nFunctions of a random variable; expectation - mean, variance and moments; characteristic an d moment-\\ngenerating functions; Chebyshev, Markov and Chernoff bounds; special random variables -Bernoulli, \\nbinomial, Poisson, uniform, Gaussian and Rayleigh; joint distribution and density functions; Bayes’ rule for \\ncontinuous and mixed random variables; joint moments, conditional expectation. [10H] \\nCovariance and correlation- independent, uncorrelated and orthogonal random variables; function of two \\nrandom variables; sum of two independent random variables; random vector - mean vector and \\ncovariance matrix, multivariate Gaussian distribution; sequence of random variables: almost sure and \\nmean-square convergences, convergences in probability and in distribution, laws of large numbers, \\ncentral limit theorem; elements of estimatio n theory - linear minimum mean -square error and \\northogonality principle. [10H] \\nRandom process: discrete and continuous time pro cesses; probabilistic structure of a random process; \\nmean, autocorrelation and autocovariance functions; stationarity - strict-sense stationary and wide -sense \\nstationary (WSS) processes: autocorrelation and cross -correlation functions; time averages and \\nergodicity; spectral representation of a real WSS process -power spectral density, cross -power spectral \\ndensity, linear time-invariant systems with WSS process as an input- time and frequency domain analyses; \\nspectral factorization theorem; examples of random processes: white noise, Gaussian, Poisson and \\nMarkov processes. [10H] \\nText books: \\n1. Probability & Random Processes by Grimmett & Stirzaker Fourth Edition, 2018. \\n2. Adventures in Stochastic Processes by Resnick Springer, 2013. \\nReference books: \\n1. An Introduction to Stochastic Modeling by Taylor and Karlin, third edition Academic Press, 2011. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 23}, page_content=' \\nSubject Code: OE2N05 Course Title Complex and Linear Algebra \\nContact Hours L-0, T-0, P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme Mid-Sem-40% End-Sem-60% \\nLearning Objective: Intended to familiarize the reader with the basic concepts, principles and methods of \\nComplex analysis and Linear Algebra. \\nCourse Detail : Review of complex numbers and operations, Functions of a Complex Variable, Analytical \\nfunctions, Cauchy-Reimann equations, Elementary functions, Confonnal mapping. \\nContour integrals, Cauchy\\'s Theorem, Residue Theorem, Power series, Taylor and Laurent series, zeroes, \\npoles, essential singularities, evaluation of integrals. \\nReview of Matrices Algebra, Solution of Matrices Equation, Row reduced Echelon form, Determi nant, \\nKramer\\'s rule. \\nVector spaces, subspaces, basis, Orthogonal basis, Gram -Schmidt orthogonalization, Linear Operators, \\nMatrix representation, Rank, Solution of Linear equations using matrices (invertibility, null space etc.), \\nEigenvalues, eigenvectors, diagonalisability, Symmetric systems, Positive definite. \\nText/Reference books: \\n1. Kreysig E., “Advanced Engineering Mathematics”,Wiley, 9th ed, 2006. \\n2. Brown and Churchil, Complex Variables and Applications, McGraw Hill, 7th ed,2014 \\n3. Hoffman Kunze, Linear Algebra, 2nd ed, Prentice Hall, Inc. \\n4. S. Ponnusamy, Foundation of Complex Analysis, 2nd Ed,Narosa \\n \\nSubject Code: OE2N06 Course Title Material Science \\nContact Hours L-0, T-0, P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (40%), lab (20%) \\n1. Overview of Materials and their applications. Bonding in materials. Crystal systems, packing fraction, \\nnearest neighbour, concept of Bravais Lattice and unit cell. Miller indices in crystalline materials. Defects \\nin crystalline materials, single crystals, poly-crystals and amorphous materials. [12H] \\n2. Band theory of solids, conductors, semiconductors and insulators, intrinsic and extrinsic \\nsemiconductors, electrical conduction, effect of temperature on conductivity. Heat capacity and thermal \\nconductivity. Stress -strain diagram, elastic and plastic deformation, yield strength, tensile strength, \\nelongation, modulus of elasticity, ductile and brittle fracture. [10H] \\n3. Diffusion in solids, Fick\\'s laws and technological application of diffusion. Phase Diagrams of \\nengineering materials; Solidification; Diffusion assisted and diffusion less solid -state phase \\ntransformations, Applications and Properties of Ceramic, Polymers and also of their Composite Materials. \\n [10L] \\n4. Magnetic materials and their properties, magnetic hysterisis. Elements of superconductivity, \\nMeissener\\'s effect, type-I, type-II semiconductors, BCS Theory. Introduction to nanotechnology, 0D, \\n1D and 2-D materials, nanoribbons. Advance applications of nanomaterials including spintronics. [10H] \\nText/Reference books: \\n1. Callister, “Materials Science and Engineering” Wiley. \\n2. Smith,William, “Foundations of Materials Science And Engineering”, Mc Graw Hill. 3. V. Raghvan, \\n“Materials Science and Engineering”. \\n3. Poole and Owens \"Introduction to nanotechnology\", Wiley. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 24}, page_content=' \\nSubject Code: OE2D11 Course Title Design Thinking \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Tech/B.Des Semester III \\nPre-requisites NIL \\nEvaluation scheme \\n Course Detail : \\n1. Design history, how design thinking is different from technical thinking. \\n2. What is Design Thinking? Styles of Design Thinking. \\n3. Goal Seeking and Setting Research, Understanding Context, Visual Mapping and Resource Mapping, \\nCategories and Trends Compositions and Judgments. \\n4. Opportunity Mapping and Scenario Visualization, Communications and Reflection, Presentations with \\nBusiness Models. \\n Text/Reference books: \\n1. Rowe, P. G. (1991). Design thinking. MIT press. \\n2. Lockwood, T. (2010). Design Thinking: Integrating Innovation, Customer Experience, and Brand Value. \\nSky horse Publishing, Inc. \\n3. Plattner, H., Meinel, C., & Leifer, L. (Eds.). (2010). Design Thinking: Understand –Improve–Apply. \\nSpringer Science & Business Media. \\n4. Schneider, J., & Stickdorn, M. (2011). This is Service Design Thinking: Basics, Tools, Cases. Wiley. \\n \\n \\nSubject Code: OE2D14 Course Title Science and Culture a comparison \\nContact Hours L-0, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester III \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (30%), Quiz II (10%), End term (50%) \\nScience and Humanities. \\n1. Magnifying and Classifying in Science, Linear approach to thought in Science, Hierarchical and \\nHorizontal linkages to development through Science [11L] \\n2. Synthesis and Transformation in Cultural Progress, Concentric approach to thought in Humanities, \\nConcentric Context to development and Culture [11L] \\n3. Indian Intellectual Traditions Unity in Diversity - From Unity to Multiplicity, Upanishads and 21st \\nCentury- Vision and Pluralism, Concept of holiness in a World of Co nflict, The Spirit in Human Being, \\nProgress in Science, Progress in Humanities. [20L] \\nText/Reference books: \\n1. Progress and Values in the Humanities- Volney Gay- Columbia University, New York. \\n2. A Cultural History of India- A.L.Basham \\n3. India’s Intellectual Traditions- World Association for Vedic Studies \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 25}, page_content='B.Tech Semester-IV \\n \\nSubject Code: CS2005 Course Title Language Theory \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz /Assignments (25%), Midterm (30%), End term (45%) \\nIntroduction of Automata, Computability, and Complexity; Mathematical notations and terminology; \\nFinding proofs and types of proofs. [04H] \\nFinite Automata and regular languages: Formal definitions, Designing finite automata, Deterministic \\nfinite automata, Non-deterministic finite automata, Equivalence of NFAs and DFAs, finite automata \\nwith epsilon-transition; regular expressions and languages, Properties of Regular languages, \\nconversion of RE to FA and vice versa. Pumping Lemma. [10H] \\nPush down Automata and Context free languages: Context free grammars, Designing context free \\ngrammar, Ambiguity in CFG and its removal, Chomsky normal form. Push down Automata: formal \\ndefinition, graphical notations, Languages accepted by PDA, Equivalenc e of PDA and CFG, Non- \\ncontext free languages, Pumping Lemma for CFGs. [10H] \\nTuring Machines and Computability: Formal definition of Turing machines with examples, Variants of \\nTuring machines, [06H] \\nDecidability, un -decidability and reducibility: Decidable languages; Decidable problems concerning \\nregular languages and context free languages, The halting problem, Post correspondence problems, \\nUndecidable problems. [08H] \\nComputational Complexity & NP -Completeness: The class P, The class NP, Reductions, The class NP- \\nComplete, Dealing with NP-Completeness. [04H] \\nText/Reference books: \\n1. J. H. Hopcroft, R, Motwani, J. D. Ullman, Introduction to Automata Theory, Languages, and \\nComputation, Third Edition, Pearson Education Inc., New Delhi \\n2. M. Sipser, Introduction to the Theory of Computation, Third Edition, Cengage Learning India Pvt. Ltd. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 26}, page_content=' \\nSubject Code: EC2005 Course Title Digital Signal Processing \\nContact Hours L-3, T-0, P-2 Credit 4 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Midterm (20%), Quiz II (10%), End term (40%) Practical (20%) \\nCourse Detail- \\nModule 1 \\n Time-Domain representation & Characterization of LTI systems, Impulse response representation, \\nConvolution integral & Convolution sum, properties of LTI systems, Stability criteria for LTI systems, \\nElements of Continuous time & Discrete -time LTI systems. C lassification of LTI system: FIR and IIR, \\nRecursive & nonrecursive system, LTI -DT systems -Characterization using difference equation, modelling \\nof difference equation, Frequency Analysis of LTI Systems Frequency domain Characteristics of LTI \\nSystems, Correlation functions and spectra at output of LTI systems. [10H] \\nModule 2 \\nDiscrete Fourier Transform and Computation DFT and its properties, Relation between DTFT and DFT, \\nLinear filtering methods using DFT: Linear filtering as DFT, Fi ltering of long sequences: Overlap -add and \\nsave methods Frequency analysis of signals using DFT, FFT computations using Decimation in time and \\nDecimation in frequency algorithms, radix 2-Butterfly structure, implementation of DFT as linear filtering: \\nGoertzel algorithm, and Chirp algorithm. [09H] \\nModule 3 \\nDesign of Digital Filters FIR design: Windowing Techniques -Need and choice of windows -Linear phase \\ncharacteristics. IIR design: Analog filter design -Butterworth and Chebyshev approximations; digital \\ndesign using impulse invariant and bilinear transformation Warping, prewarping - Frequency \\ntransformation [09H] \\nModule 4 \\nRealization of Digital Filters & IIR filter realization: Direct form -I, direct form-II, and Parallel & cascade \\nforms. Finite word length effects in FIR and IIR digital filters: Quantization, round off errors and overflow \\nerrors, Overview of DSP processors. [07H] \\nModule 5 \\nApplication of signa l processing Applications of digital signal processing: Speech Processing: speech \\nanalysis, speech coding, subband coding, ECG processing. [07H] \\nText Books/ Reference books: \\n1. John G.Proakis, Dimitris G. Manobakis, Digital Signal Processing, Principles, Algorithms and \\nApplications, Third edition, (2000) PHI \\n2. S. K. Mitra, Digital Signal Processing: A Computer Based Approach, Tata McGraw Hill, 2006. \\n3. P. P. Vaidyanathan, Multirate systems and filter banks, Prentice Hall, 1993. \\n4. A. V. Oppenheim and R. W. Sehafer, Discrete Time Signal Processing, Prentice Hall, (1989). \\n5. Emmanuel C Ifeachor, Barrie W Jrevis, Digital Signal Processing, Pearson Education. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 27}, page_content=\"Experiments/ Practical: \\n1. Write a MATLAB script to plot common continuous time and discrete time signals. \\n2. Write a MATLAB program to demonstrate basic operations on signals. \\n3. Write a MATLAB script for finding the even and odd parts of signal and real and imaginary part of \\nsignal \\n4. Write MATLAB script to test to implement a digital system and test for following properties. a. \\nLinearity b. Time Invariance \\n5. Write MATLAB script to plot magnitude and phase response of a system and also plot its poles and \\nzeros and test its stability. \\n6. Using MATLAB analyse a constant coefficient difference equation and plot following. \\na. Impulse Response b. Step Response c. Output of system for arbitrary input \\n7. Write a MATLAB function to compute N-point DFT and IDFT, validate the result using inbuilt MATLAB \\nfunctions to compute DFT/IDFT. \\n8. Write MATLAB script to validate following DFT properties. a. Linearity Property b. Circular Shift c. \\nCircular Shift Property d. Time Reversal Property e. Convolution Property \\n9. Write MATLAB script to perform circular convolution. Validate the result using system function. \\n10. Write a MATLAB script to design different types of FIR filters explain with an application of filter. \\n11. Write a MATLAB script to design different types of IIR filters. \\n12. Write a MATLAB script to design different windowing techniques and its frequency response. \\n \\nSubject Code ME2005 Course Title Engineering Materials and \\nContact Hours L- 3 , T- 0 ,P- 0 Characterization \\nProgram B.Tech Credit 3 \\nPre-Requisites None Semester IV \\nEvaluation scheme Quiz I (10%), Midterm (30%), Quiz II (10%), End term (50%) \\nLearning Objective: Teach students about materials used in engineering applications \\nCourse Detail : \\n1. Engineering Materials and Their Properties; The Price and Availability of Materials; The Elastic \\nModuli; The Physical Basis of Young's Modulus; Yield Strength, Tensile Strength, and Ductility; \\nStrengthening Methods and Plasticity of Polycrystals, Material Testing. [05H] \\n2. Fast Fracture and Toughness; Fatigue Failure; Creep, Material Testing. [04H] \\n3. Metals; Time –Temperature–Transformation Diagram; Fine -Grained Castings; Single Crystals for \\nSemiconductors; Amorphous Metals; Light Alloys; Processing Metals; Heat Treatment [07H] \\n4. Ceramics; Ceramic Composites; Mechanical Properties of Ceramics; Production of Engineering \\nCeramics; Material Testing and Applications. [04H] \\n5. Polymers; Mechanical Properties of Polymers; Processing Polymers; Material Testing and Applications. \\n [05H] \\n6. Composites; Properties of Composites and Foams; Processing of composites; Basic Mech anics of \\nComposites; Material Testing and Applications. [03H] \\nText/Reference books: \\n1. DRH Jones and M Ashby, Engineering Materials 1 4th Ed., Butterworth-Heinemann \\n2. DRH Jones and M Ashby, Engineering Materials 2 4th Ed., Butterworth-Heinemann \\n3. NE Dowling, Mechanical Behavior of Materials: Engineering Methods for Deformation, Fracture, and \\nFatigue, 3rd Ed., Pearson \\n4. Callister, Materials Science and Engineering, 8th Ed., John Wiley & Sons Inc. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 28}, page_content=' \\nSubject Code: CS2006 Course Title Operating System \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\nOperating systems for mainframe and desktops : A Historical Overview, Batch OS, Multiprogramming \\nOS, Time sharing OS, Multiprocessor and Distributed systems, Clustered systems, Real Time Systems. \\n [02H] \\nOperating system structure: OS services, system calls, System programs, System structure, Virtual \\nmachines. [04H] \\nProcess Management: Process concept, Process scheduling, Operations on processes, Threads. [03H] \\nCPU Scheduling: Scheduling Criteria, Scheduling algorithms, Multiprocessor scheduling, Real time \\nscheduling, Thread scheduling. [04H] \\nInter process communication: Cooperating processes, The Critical Section problem, Two tasks solutions, \\nSemaphores, Classical synchronization. [04H] \\nDeadlocks: Characterization, Methods for handling deadlocks, Prevention, avoidance and detection, \\nRecovery. [03H] \\nMemory management: Background, swapping, Contiguous memory allocation, Paging and \\nsegmentation, Virtual memory, Demand paging, Page replacement, thrashing. [10H] \\nFile system management: File concept, Access method, Directory structure, File Syst em mounting, File \\nsharing, Allocation methods, Protection. [04H] \\nMass storage structure and management: Disk structure, Disk scheduling and Management, Swap space \\nmanagement, RAID structure. [04H] \\nProtection and Security: Goals, Domain of protection, Access matrix, Capability based systems, Security \\nproblems, User authentication, Program threats and system threats [04H] \\nText/Reference books: \\n1. A. Silberschatz, B. P. Galvin, G. Gagne, Operating System, 6th Edition, John Wiley & Sons Inc., 2004 \\n2. W. Stalling, Operating System, 6th edition, Pearson Education, 2009 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 29}, page_content=' \\n \\nSubject Code EC2006 Course Title Control Systems \\nContact Hours L- 3, T- 0 ,P-2 Credit 4 \\nProgramme BTech Semester IV \\nPre-requisites Basic Electronics \\nEvaluation scheme Lab: (40%) Quiz I ( 20 %), Midterm ( 40 %), \\nModule 1 \\nIntroduction: Terminology and basic structure, feedback control theory, multivariable systems \\nModelling of physical systems: Transfer function and state- variable models; block diagram reductions, \\nsignal flow graph and Masons gain formula. \\nTime Domain Analysis: Time response of first and second order systems, steady state errors. [10H] \\nModule 2 \\nControl System Characteristics: Stability, sensitivity, steady-state accuracy \\nStability Analysis: Routh-Hurwitz test, relative stability, Root locus, Bode Plot Polar plot and Nyquist \\nplots. [10H] \\nModule 3 \\nController Design: PID Controller, Lead Lag Compensator \\nDiscreate Domain: The z-transform and Inverse z-transform, Pulse Transfer Function, z- and s-domain \\nRelationship, Stability. [10H] \\nModule 4 State Variable Methods: Concepts of state variables and state model - state models for linear \\ncontinuous-time and Discrete Systems, solution of state equations for continuous and discrete systems , \\nconcepts of controllability and observability, Pole placement by State Feedback. [10H] \\nLab: \\n1. Matlab Fundamentals \\n2. Simulink Fundamentals \\n3. Control Toolbox \\n4. Process Control Simulator \\n5. Lead/Lag Compensator \\n6. Relay Control System \\n7. AC servo Control \\n8. DC servo Control \\n9. Frequency Response Analysis \\n10. Case study \\n Text Books: \\n1. K. Ogata, Modern Control Engineering, Prentice Hall India, 2006. \\nReference books: \\n1. I. J. Nagrath and M. Gopal, Control System Engineering, New age International, 5th edition, 2008. \\n2. B. C. Kuo, Automatic Control Systems, Prentice-hall of India, 7th edition, 2000. \\n3. M Gopal, Digital Control and state variable methods, Tata MacGraw-Hill, 2nd edition, 2003 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 30}, page_content=' \\nSubject Code: ME2006 Course Title Kinematics and Dynamics of \\nContact Hours L-3, T-1, L-2, Machine \\nProgramme B.Tech Credit 4 \\nPre-requisites NIL Semester IV \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (40%), lab (20%) \\n Course Detail : \\n1. KINEMATICS : Plain motion, kinematic concepts of links; basic terminology and definitions; inversion \\nof kinematic chains, absolute and relative motion, kinematics and structure diagrams, equivalent \\nlinkages, vector diagram, displacement, velocity and acceleration po lygons, analysis, instantaneous \\ncentres, special graphical methods for slider crank mechanism. [08H] \\n2. KINEMATIC SYNTHESIS OF MECHANISMS : Introduction, Movability of four bar linkage, Function \\nGeneration, path generation, motion generation, Errors in synthesis problems, Chebyshev spacing of \\nprecision points. [06H] \\n3. GEARS : Fundamental law of gearing, classification and basic terminology, involute tooth profile and \\nits kinematic considerations, type of gears, standards in tooth forms, gear trains, simple, compound, \\nreverted and epicyclic gear trains. [08H] \\n4. CAMS : Classification of Followers and Cams, Terms used in Radial Cams, Cam Mechanism and its \\nUses, Displacement,Velocity and Acceleration Diagrams, When the Follower Moves With Uniform \\nVelocity, Simple Harmonic Motion, Uniform Acceleration and Retardation and Cycloid Motion, \\nConstruction of Cam Profile for a Radial Cam, Operating a Knife Edge, Roller and Flat Faced Follower. \\n [05H] \\n5. GOVERNORS : Functions, Difference between Governor and Flywheel, Various Terms Used, Types of \\nGovernor-Watt, Porter,Proell & Hartnell; Inertia Governor, Sensitiveness and Stability of Governor; \\nIsochronous Governor, Hunting, Effort and Power ofa Porter Governor, Controlling Force Diagrams For \\nPorter and Spring Controlled Governor, Coefficient of Insensitiveness. [04H] \\n6. TURNING MOMENT AND FLYWHEEL : Turning Moment Diagram for a Four Stroke Cycle I.C. Engine \\nand Multi Cylinder Engine, Fluctuation of Energy and Production of Energy and Co -Efficient of \\nFluctuation of Energy, Co-Efficient of Fluctuation of Speed, Energy Stored in a Flywheel, Dimensions of \\nthe Flywheel Rim, Fly Wheel in Punching Press. [05H] \\n7. BALANCING OF MACHINERY : Necessity of Balancing, Static and Dynamic Balancing, Balancing of \\nRotating Masses in one Plane, In Different Planes -Analytical and Graphical Methods, Partial \\nUnbalanced Primary Force in an Engine, Balancing of Reciprocating Masses, Co ndition of Balance in \\nMulti Cylinder in Line Engines. Balancing of V Engine. [06H] \\n8. STAIC AND DYNAMIC FORCE ANALYSIS : 2 and 3 force members, torque addition, free body \\ndiagram, Inertia forces, D’alembert’s Principle, offset inertia forces, equivalent force analysis for \\nvarious mechanisms, matrix method. [06H] \\nExperiments: \\nExperiment No. 1 \\n1. To study inversions of 4-bar mechanisms, single and double slider crank mechanisms. \\n2. To study various types of gears and gear trains. \\n3. To study various types of steering mechanisms. \\n4. Study jump phenomenon in the cam-follower system. \\n5. Study of Gyroscopic effect and determination of gyroscopic couple on motorized gyroscope. \\n6. To perform the experiment for static balancing on static balancing machine. \\n7. To perform the experiment for dynamic balancing on dynamic balancing machine. \\n8. To understand the balancing of reciprocating masses. \\n9. Determine the moment of inertia of connecting rod by compound pendulum method and tri-flair \\nsuspension pendulum. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 31}, page_content='10. To verify the relation 𝑇=2𝜋√𝑙𝑔for a simple pendulum. \\n11. To determine whirling speed of the shaft and study effect of shaft diameter and end conditions on \\nthe same. \\n12. To study the performance characteristics curves, stability and sensitivity of the Governors: Porter, \\nProell and Hartnell. \\n13. To study various types of dynamometers. \\nText/Reference books: \\n1. Rattan S.S., .Theory of Machines., TMH \\n2. Thomas Bevan, .Theory of Machines., CBS \\n3. Theory of Mechanisms & Machinesby Ghosh & Mallick, EWP \\n4. John J. Uicker, Jr., Gordon R. Pennock and Joseph E. Sigley (2005), “Theory of Machines and \\nMechanisms (3rdEd),” Oxford University Press, Indian Edition. \\n5. K J Waldron and G L Kinzel (2004), “Kinematics, Dynamics and Design of Machinery (2nd Ed),” Wiley \\n \\nSubject Code: CS2007 Course Title Design & Analysis of Algorithm \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\nCourse Detail : \\nModels of Computation: space and time complexity measures, lower and upper bounds; Search Trees: \\nTRIE; B+ Trees, Binomial Trees. [10H] \\nDesign techniques: the greedy method, divide-and-conquer, dynamic programming, backtracking, branch \\nand bound; examples [10H] \\nLower bound for sorting; Selection. [02H] \\nGraph Algorithms: connectivity, strong connectivity, bi-connectivity, topological sort, shortest paths, \\nminimum spanning trees, The disjoint set union problem; [10H] \\nString matching; [02H] \\nNP-completeness; Introduction to approximate algorithms and Randomized algorithms. [08H] \\nText/Reference books: \\n 1. T.H.Cormen, C ELeiserson, R LRivestand C Stein,Introduction to Algorithms, MIT Press. \\n 2.J. Kleinberg and E.Tardos,Algorithm Design, Addison Wesley \\n 3. A.Aho, J. E.Hopcroftand J. D.Ullman,TheDesign and Analysis of Computer Algorithms, Addison-Wesley. \\n 4. S.Sahni,Data Structures, Algorithms and Applicationsin C++, McGraw-Hill. \\n 5. M. T. Goodrich and R.Tamassia,Algorithm Design: Foundations, Analysis and Internet Examples, John \\n Wiley & Sons, 2001. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 32}, page_content=\" \\nSubject Code: EC207a Course Title AI and its Application \\nContact Hours L-2, T-0, L-0, Credit 2 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail : \\nModule I \\nWhat is AI? AI Concepts, Terminology, and Application Areas, AI: Issues, Concerns and Ethical \\nConsiderations, The Future with AI, uninformed search, Heuristic search [07H] \\nModule II \\nUncertainty in AI, Uncertainty, Probability, Syntax and Semantics, Inference, Independence and Bayes' \\nRule, Bayesian Network, Neural Networks, Support Vector Machine [07H] \\nModule III \\nClassification & Regression, Supervised, Unsupervised and Reinforcement Learning, Theory, concepts and \\napplications [07H] \\nModule IV \\nApplications of AI: Speech processing, Image Processing, Data Classification [07H] \\nText/Reference books: \\n1. Nilsson, N. J., Principles of Artificial Intelligence. Palo Alto, CA: Tioga (1981). \\n2. S. Rajasekaran and G.A.Vijaylakshmi Pai, Neural Networks Fuzzy Logic, and Genetic Algorithms, \\n Prentice Hall of India, 2003 \\n3. Nilsson, N. J. Artificial Intelligence - A Modern Synthesis. Palo Alto: Morgan Kaufmann. (1998). \\n \\nSubject Code: EC207b Course Title Architecture of Cellular Systems \\nContact Hours L-2, T-0, L-0, Credit 2 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail : \\nModule 1 \\nFundamental of Cellular Systems \\nFrequency reuse, Channel assignment strategies, Handoff strategies, Interference and system capacity, \\nTrunking and grade of service, Coverage and capacity improvement in cellular systems. [07H] \\nModule II \\nCellular Network Standards \\nSecond Generation (2G) and Third Generation (2G) cellular networks, Architecture and Technologies of \\n2G and 3G, TDMA, CDMA. [07H] \\nModule III \\n4G and Introduction to 5G \\n4G: Architecture, Technology, LTE. Introduction and system concepts to 5G [07H] \\nModule IV \\n5G Architecture, 5G radio-access technologies, Interference management, mobility management, and \\ndynamic reconfiguration. [07H] \\nText Books: \\n1. T. S. Rappaport, Wireless Communications: Principles and Practice, Pearson Education, 2004. \\n2. A. Osseiran, J.F. Monserrat and P. Marsch, 5G Mobile and Wireless Communications Technology, \\nCambridge University Press, 2016. \\nReference books: \\n1. Saad Z. Asif, 5G Mobile Communications: Concepts and Technologies, CRC Press, 2019 \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 33}, page_content=' \\nSubject Code: ME2007 Course Title Manufacturing Technology \\nContact Hours L-3, T-0, L-2, Credit 4 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quizzes (15%); Mid-sem (35%) and End-sem (45%) \\nCourse Detail : \\nMachining and Mechanics of Metal Cutting: [14H] \\nIntroduction to orthogonal & oblique cutting; Chip information mechanism; heat generation and cutting \\ntool temperature, tool geometry –ASA, ORS, NRS and relationships, selection of tool angles. Cutting tool \\nmaterial; tool wear; tool life and machinability; surface finish; cutting fluids. Merchant’s circle diagram, \\ncoefficient of friction, stress, strain and strain rate, shear angle. Lee and Shaffer’s Relationship: Friction in \\nMetal cutting-sticking & sliding \\nMaterial Removal Processes: [08H] \\nBasic operations of turning, shaping, slotting and planning, drilling and boring, milling. Introduction multi -\\npoint cutting tools; twist drill, helical milling cutter. Practical machining operations with machining \\nparameters, force magnitudes, power consumption, material removal rate, time per pass. \\nCutting Force Measurement: [02H] \\nBasic methods of measurement, axially loaded members, cantilever beam, rings and octagon, \\ndynamometer requirements machine tool dynamometers. \\nEconomics of Machining: [04H] \\nCutting parameters for minimum production cost criteria; maximum production and profit rate criterion. \\nRestrictions on cutting conditions (power, speed, force and vibration, surface finish). \\nMetal Forming: [10H] \\nPlasticity: Introduction to stress, strain, stress -strain relationships, Mechanics of Forming Processes: \\nRolling, Forging, Drawing, Deep Drawing Extrusion, Punching and Blanking. \\nCasting: [04H] \\nDesign of riser, runner and gating system, mechanism and analysis of solidification \\nText/Reference books: \\n1. M.C. Shaw, Metal Cutting Principles, 2ndEdition Oxford University Press, England 2005. \\n2. A. Ghosh and A.K. Malik, Manufacturing Science. Affilated East West press 1985. \\n3.Mikel P. Groover, “Fundamentals of Modern Manufacturing”, John Wiley & Sons inc \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 34}, page_content=' \\nSubject Code: SM2007 Course Title Cyber Physical Production Systems \\nContact Hours L-2, T-0, P-2, Credit 3 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz/ assignment/ attendance -20 , Mid Sem - 15, End Sem - 30, Lab -15, \\nProject - 20 \\nLearning Objective: The course aims to provide the students an exposure to the connection between the \\nproduction systems and cyber world. Various elements of production system and cyber world and their \\nintegration will be covered in the course. \\nCourse Detail : \\n1. An overview of the production system – [02H] \\n2. Introduction to Cyber Physical System – [01H] \\n3. Introduction to Cyber Physical Production System – [03H] \\n4. Different levels of Cyber Physical Production System \\na. \"Level 1: Physical world (field level) - material, machines, tools, material handling and associated cyber \\n systems like sensors, actuators, computer integrated manufacturing system- [10H] \\nb. Level 2: Control Level - edge computing, an introduction to data flow protocols, virtual\" reality - [03H] \\nc. Level 3: Supervisory control- scheduling, FMS, quality control- [02H] \\nd. Level 4: Planning level- Computer Aided Production Planning and Control, Inventory control - [02H] \\ne. Level 5: Management level -Sales and forecasting, Distribution, finance, design, factory\" and plant \\nlayout [02H \\n5. Introduction to Smart Manufacturing - [02H] \\n 6. Introduction to Blockchain Technology – [01H] \\nLab: \\nExperiment 1: Introduction to AVR microcontrollers and electronic circuit \\nExperiment 2: Introduction to sensors and actuators and building simple system for actuating an LED \\nbased on sensor signal using ATMEGA microcontroller. \\nExperiment 3: Controlling a motor using ATMEGA microcontroller. \\nExperiment 4: Programming on CNC lathe machine - simple operation Experiment 5: Programming on \\nCNC lathe machine - complex operation \\nExperiment 6: Building a production system using machines and material handling device \\nExperiment 7: Connecting the sensors, actuators to the Internet through Node CMU microcontroller for \\nthe transfer of the simple information. \\nExperiment 8 to 12: Developing a cyber physical producti0n system by combining different components \\nText/Reference books: \\n1. Groover, Automation, Production System, Computer Integrated Manufacturing, Pearson Publishing \\n2. Various research papers. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 35}, page_content=' \\nSubject Code: CS2008 Course Title Computer Networks \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%). \\nIntroduction: History and Development of Computer Networks, Review of Data communication concepts \\nand techniques, Networks Topologies, Network model components, layered network models (OSI \\nreference model, TCP/IP networking architecture [10H] \\nData Link and MAC sublayer: \\n• Preliminaries of Error Control, Flow Control and Sliding Window Protocols. \\n• Aloha Protocols, CSMA Protocols, Collision Free Protocols, Local Area Networks -- Ethernet, \\nWireless LAN, Broadband Wireless. [10H] \\nNetwork Layer: Routing Algorithms, Subnets, Congestion Control Algorithms, Internetworking – Bridges \\nand Routers [10H] \\nTransport Layer: Connection Establishment, and release, TCP, UDP, Flow Control and Congestion \\nControl, Quality of Services. [10H] \\nApplication Layer Potocols and Introduction to Network Security. [02H] \\nText/Reference books: \\n1. Andrew S. Tanenbau m, David J. Wetherall , Computer Networks, 5 th Edition, Pearson Publications, \\n2010. \\n2. W. Stallings, Data and Computer Communication, 10th Edition, Pearson Publication, 2013. \\n3. B. A. Forouzan, Data Communications and Networking, 5th Edition, McGraw Hill Publication, 2012. \\n4. B. S. Davie and L. L. Peterson, Computer Networks: A Systems Approach, 5th Edition, Morgan \\nKaufmann Publication, 2011. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 36}, page_content=' \\n \\nSubject Code EC2008 Course Title Analog Integrated Circuit Design \\nContact Hours L- 3 , T- 0 ,P- 2 Credit 4 \\nProgram B.Tech Semester IV \\nPre-Requisites None \\nEvaluation scheme Quiz I (10%), Midterm (30%), Quiz II (10%), End term (40%) Practical (10%) \\nModule 1 \\nIntroduction to Analog Design & Basics CMOS Device Physics Why analog, Why Integrated, Why CMOS, \\ngeneral concepts levels of abstraction, robust analog deign, General considerations - MOSFET as a switch, \\nMOSFET structure, MOS symbols. MOS I/V chara cteristics: threshold voltage, derivation of I/V \\ncharacteristics, second order effects. MOS device models- MOS device layouts, MOS device capacitances, \\nMOS small signal models, MOS spice models, nMOS v/s pMOS devices, long channel v/s short channel \\ndevices. [07H] \\nModule 2 \\nBasic concepts of amplifiers, Common Source Stage : common source with resistive loads, CS stage with \\ndiode-connected load, CS stage with current -source load, CS stage with triode load, CS stage w ith source \\ndegeneration, source follower, common gate stage, cascode stage, folded cascade stage, choice of \\ndevice models. [07H] \\nModule 3 \\nDifferential Amplifiers Current Sources and Mirrors : Single ended and differential operation, basi c \\ndifferential pair- qualitative analysis, quantitative analysis, common mode response, differential pair with \\nMOS loads, Gilbert cells. Current sources, basic current mirrors, cascade current mirrors, wilson current \\nmirror, large signal and small-signal analysis. [07H] \\nModule 4 \\nFrequency Response of Amplifiers and Noise : Miller effect, association of poles with nodes, frequency \\nresponse of all single stage amplifiers, comparators, charge -pump circuits and multipliers, data \\nconverters, analog interconnects, analog testing and layout issues, low voltage and low power circ uits. \\nIntroduction to RF electronics, basic concepts in RF design. Noise Spectrum, Amplitude Distribution, \\nCorrelated and Uncorrelated Sources, Thermal Noise, Flicker Noise, Noise in all Single Stage Amplifiers, \\nNoise in Differential Pairs, Noise Bandwidth. [07H] \\nPractical \\nLab 1 Introduction to EDA tools (Cadence) and Overview on Analog Circuit Design Custom IC Design \\nFlow, Analog IC Design Flow, Procedure for analog IC design with CMOS inverter as an \\nexample(Schematic entry to GDS-II file generation) [07H] \\nLab 2 Design and Simulation of basic analog circuit with given specification Common Source Stage - \\ncommon source with resistive loads, CS stage with diode -connected load, CS stage with current -source \\nload, CS stage with triode load, CS stage with source degeneration, c ascade stage Differential amplifier \\ndesign with given specifications, Basic Current mirror design and simulation [07H] \\nText Books: \\n1. Design of Analog CMOS Integrated Circuits. Razavi, McGraw-Hill, 2001. \\nReference books: \\n1. CMOS Circuit Design, Layout and Simulation, R.Jacob Baker,H.W.Li, and D.E. Boyce, Prentice-Hall of \\nIndia,1998. \\n2. Analog VLSI Signal and Information Process, Mohammed Ismail and Terri Faiz, Mc Graw Hill book \\ncompany 1994. \\n3. Analysis and design of Analog Integrated circuits, Paul R. Gray and R.G.Meyer, \"John Wiley and sons, \\nUSA\"\", (3rd Edition), 1993. \\n4. RF Microelectronics, Prentice-Hall PTR,1998\", \\n5. Journals: (i) IEEE Journal of Solid state Circuits (ii) IEEE Trans. on Communications, B. Razavi, Prentice-\\nHall ,1998. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 37}, page_content=' \\n \\nSubject Code: ME2008 Course Title Fluid Mechanics and Machines \\nContact Hours L-3, T-1, L-2, Credit 4 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Lab Work (20%) Quiz I-II (10%), Mid-Term (25%), Assignment (10%), End-Term(35%) \\nLearning Objective: \\n\\uf0b7 Understand the basics of fluid statics, kinematics and dynamics, used in the applications of \\nAerodynamics, Hydraulics, Marine Engineering, Gas dynamics etc. \\n\\uf0b7 Understand the importance of flow and pressure measurements and its applications in Industries \\n\\uf0b7 Recognize the basic design concepts of a pipe flow and understand the various losses in a flow system. \\n\\uf0b7 Realize the significance of non-dimensional parameters. \\n\\uf0b7 Carry out dimensional analysis and establish relationship between the dependent and independent \\nvariables \\n\\uf0b7 Understand boundary layer formation and concepts related to flow separation \\n\\uf0b7 Accquire knowledge about the testing of fluid machineries for its performance characteristics \\n Course Detail : \\nModule I \\nFluid Statics: Definition of Fluid & Characteristics – Concept of Continuum - Properties of fluids - \\nClassification of Fluids – Pascal’s and Hydrostatic Law - Hydrostatic Forces on Different Surfaces – \\nDetermination of Total Pressure and Centre of Pressure – Buoyancy – Centre of Buoyancy – Metacentre – \\nConditions of Equilibrium for Submerged and Floating Bodies. [08H] \\nModule 2 \\nFluid Kinetics, Dynamics & Flow Through Pipes: Description of Flu id Motion – Lagrangian and Eulerian \\nMethods – Types of Fluid Flow – Stream Function and Velocity Potential – Rotation – Vorticity – Flow \\nLines, Reynolds Transport Theorem – Continuity Equation – Euler’s Equation – Bernoulli’s Equation and its \\nPractical Applications \\nHydraulic and energy gradient – Laminar flow through circular conduits and circular annuli-Boundary layer \\nconcepts – types of boundary layer thickness – Darcy Weisbach equation –friction factor- Moody diagram- \\ncommercial pipes- minor losses. [22H] \\nModule 3 \\nDimensional Analysis: Dimensional analysis and similitude, dimensionless parameters, kinematic and \\ndynamic similarity. [05H] \\nModule 4 \\nPumps: Impact of jets – Euler’s equation – Theory of roto -dynamic machines – various efficiencies – \\nvelocity components at entry and exit of the rotor - velocity triangles – Centrifugal pumps – working \\nprinciple – work done by the impeller – performance curves – Reciprocating pump- working principle – \\nRotary pumps –classification. [10H] \\nModule 5 \\nTurbines: Classification of turbines – heads and efficiencies – velocity triangles. Axial, radial and mixed \\nflow turbines. Pelton wheel, Francis turbine and Kaplan turbines- working principles – work done by water \\non the runner – draft tube. Specific speed – unit quantities – performance curves for turbines – governing \\nof turbines [10H] \\nList of Practical \\n1. To Determine Bernoulli’s Theorem. \\n2. To determine friction factor for the given pipes and also plot friction factor vs Reynold’s number for all \\nthe pipes and compare it with the Moody’s chart. \\n3. To calculate the Coefficient of Discharge Cd, Coefficient of Velocity Cv, and Coefficient of Contraction \\nCc for various heads over orifice fitted in the side of a tank. And to draw a re lationship between these \\ncoefficients and the size of the orifice \\n4. To compute Piezo-metric head and draw Hydraulic Gradient Line for the given flow passage \\n5. To determine Experiments performance and operating characteristics of Francis turbines \\n6. To determine Experiments performance and operating characteristics of centrifugal pumps \\n7. To determine the Coefficient of Discharge of the given Venturimeter \\n8. To determine the Coefficient of Discharge of the given Orifice meter. \\n9. To determine Experiments performance and operating characteristics of pumps – reciprocating \\n10. To determine Experiments performance and operating characteristics of Kalpan turbine-1KW '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 38}, page_content='11. To Determine Head loss Coefficient for the given bend in pipe available \\n12. Determination of the metacen tric height and position of the metacentric height with angle of heel of \\nship model. \\nText Books: \\n1.Yunus A. Çengel, John M. Cimbala (2013) Fluid Mechanics: Fundamentals And Applications, McGraw -Hill, \\n3rd Edition. \\n2 Dr.R.K.Bansal, (2012), A Textbook of Fluid Mechanics and Hydraulic Machines, 5th Edition, Laxmi \\nPublication. Not allowed \\nReference Books: \\n1. Robert W. Fox, Alan T. McDonald, Philip J. Pirtchard John W. Mitchell (2015), Introduction to Fluid \\nMechanics, 9th Edition, Wiley Publications. \\n2. P.N.Modi and S.M.Seth (2011), Hydraulics and Fluid Mechanics including Hydraulic Machines, 17th \\nEdition. \\n3. Donald F. Elger, Barbara C. Williams, Clayton T. Crowe, John A. Roberson (2013) Engineering Fluid \\nMechanics, John Wiley & Sons, 10th Edition. \\n \\n \\n \\nSubject Code: NS2001 Course Title Biology for Engineers \\nContact Hours L-2, T-0, P-0 Credit 2 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme \\nCourse Detail : \\nCells, Cellular Organelles, Nucleic Acids (DNA, RNA structure and function), Proteins- Different levels of \\nstructures, Folding and mis-folding, Protein Purification techniques; Enzymes, Carbohydrates, Lipids \\n& Lipid membranes, Drug Discovery. Topics would emphasize importance of biomolecule vis-à-vis \\nnumerous every day applications. \\nText/Reference books: \\n1. Berg, J. M., Tymoczko, J.L., and Stryer, L., Biochemistry, W.H. Freeman & Company, 6th edition, \\n 2006. \\n2. Alberts, B., Alexander, J., Lewis, J., Raff, M., Roberts, K., Walter, P., Molecular Biology of the Cell, 6th \\n edition, Garland Science Publishing, 2007. \\n3. Donald Voet, Judith G. Voet, Charlotte W. Pratt, Fundamentals of Biochemistry: Life at the Molecular \\n Level, Publisher : Wiley; 5th edition (29 February 2016) \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 39}, page_content='Subject Code: DS2009 Course Title: Design Research Including user \\nStudy Contact Hours: L-2, T-0, P-2 \\nProgramme : B.Des Credit: 3 \\nPre-requisites: NIL Semester : IV \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail \\nQualitative and qualitative research methodology, [07H Lecture,+3H Lab] \\nQuestionnaire design, validation, repeatability testing, psychophysical scales, [07H Lecture,+3H Lab] \\nDirect observation and activity analysis,photography as a tool in design research et[07H Lecture,+3H Lab] \\nPersona, scenario, story boarding. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Laurel, B. (2003). Design research: Methods and perspectives. MIT press. \\n2. Koskinen, I., Zimmerman, J., Binder, T., Redstrom, J., &Wensveen, S. (2011). Design research \\n through practice: From the lab, field, and showroom. Elsevier. \\n3. Creswell, J. W., & Clark, V. L. P. (2007). Designing and conducting mixed methods research. \\n4. Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. \\nSage publications. \\n \\n \\n \\n \\nSubject Code: DS2010 Course Title: Materials and Processes \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Des Semester : IV \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail- \\nImportance of Material in Design, Conventional Materials in Design. [07H Lecture,+3H Lab] \\nMaterial Science and Material Affordance in Product Design. [07H Lecture,+3H Lab] \\nManufacturing of Materials; Material Formation; Shaping and Joining. [07H Lecture,+3H Lab] \\nEmerging Materials; Sustainable Materials and Processes; Material Experience in Design \\n [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Ashby, M. F., & Johnson, K. (2013). Materials and design: the art and science of material selection in \\nproduct design. Butterworth-Heinemann. \\n2. Lefteri, C. (2007). Making it: Manufacturing techniques for product design. Laurence King. \\n3. Ulrich, K. T. (2003). Product design and development. Tata McGraw-Hill Education. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nSubject Code: DS2011 Course Title: Industrial Design 2 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 40}, page_content='Contact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Des Semester : IV \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail- \\nComplex products, design as a strategic tool, design and innovation, design process, user study, need \\nidentification. [07H Lecture,+3H Lab] \\nSigma analysis of user and product activity, usability, material analysis, visual analysis, factor analysis. \\n [07H Lecture,+3H Lab] \\nPhysiology analysis, technical analysis, environmental analysis, economic analysis, ideation, analogies, \\nselection of an idea, detail design, [07H Lecture,+3H Lab] \\nDesign for culture, design for manufacture, design for assembly, product rendering, mock-up and \\nprototype, final manufacture. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Cross, N. (2008). Engineering design methods: strategies for product design. John Wiley & Sons. \\n2. Whitten, J. L., Barlow, V. M., & Bentley, L. (1997). Systems analysis and design methods. McGraw-Hill \\nProfessional. \\n3. Cuffaro, D., &Zaksenberg, I. (2013). The Industrial Design Reference & Specification Book: Everything \\nIndustrial Designers Need to Know Every Day. Rockport Publishers. \\n4. Krippendorff, K. (2005). The semantic turn: A new foundation for design. crc Press. \\n \\nSubject Code: DS2012 Course Title: Communication Design 2 \\nContact Hours: L-0, T-0, P-6 Credit: 3 \\nProgramme : B.Des Semester : IV \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail- \\nIntroduction to Print Media: Forms of Printing, History and Evolution Interrelation of Print and Digital \\nTechnologies, Applications. Introduction to Typography [07H Lecture,+3H Lab] \\nPrinciples, Techniques and Applications. [07H Lecture,+3H Lab] \\nIntroduction to Photography: History and Evolution, Camera Principles, Techniques and Applications. \\nIntroduction to Moving pictures: History and Evolution of Cinema, Video and Animation; Principles \\nTechniques and Applications. Visual Identity Design: [07H Lecture,+3H Lab] \\nIntroduction to Identity Design, Branding and Rebranding; Applications in - Stationary Design, Template \\nDesign, Souvenir Design, Signage Design and Web Design. Introduction to Human Computer Interface: \\nGraphic User Interface, Characteristics, Principles and Applications. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Kipphan, H. (2001). Handbook of print media: technologies and production methods. Springer \\nScience & Business Media. \\n2. Kernan, A. B. (1987). Printing Technology, Letters, & Samuel Johnson. Princeton University Press. \\n3. McLean, R. (1988). The Thames and Hudson manual of typography. \\n4. Craig, J. (1990). Basic Typography: a design manual. Watson-Guptill Publications. \\n \\n \\nSubject Code: DS2013 Course Title: Design Project 3 \\nContact Hours: L-3, T-0, P-2 Credit: 4 \\nProgramme : B.Des Semester : IV \\nPre-requisites: NIL \\nEvaluation scheme Minor project (20%), Major project (30%), Weekly assignment (50%) \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 41}, page_content=\"OE2 Choose any one course from below electives \\n \\nSubject Code OE2E05 Course Title Antenna Theory and Design \\nContact Hours L-3,T-0, P-0 Credit 3 \\nProgramme B.Tech./B.Des Semester IV \\nPre-requisites Electromagnetic Theory \\nEvaluation scheme Quiz I (10%), Midterm (30 %), Quiz II (10 %), End term (40 %) Project (10%) \\nModule 1 \\nFundamental Concepts: Radiation mechanism, Radiation pattern, near/far -field regions, directivity and \\ngain, bandwidth, effective aperture, polarization, input impedance, efficiency, Friis transmission \\nequation, reciprocity theorem, vector potentials for electric and magnetic current sources. [08H] \\nModule 2 \\nRadiation from Wires and Loops: Infinitesimal dipole, half -wave dipole, quarter -wave monopole \\nantenna, small loop antenna. [08H] \\nModule 3 \\nAperture, Reflector and Microstrip Antennas: Huygens' principle, radiation from rectangular and circular \\napertures, design considerations, Babinet's principle, Radiation from sectoral and pyramidal horns, \\nreflector and cassegrain antennas, basic of microstrip antennas and feeding techniques, broad band \\nantennas. [08H] \\nModule 4 \\nAntenna Arrays: Analysis of uniformly spaced Two -element and N -element linear arrays with uniform \\nand non-uniform excitation amplitudes, extension to planar arrays, synthesis of antenna arrays. [08H] \\nText Books: \\n1. Antenna Theory: Analysis and Design, Constantine A. Balanis, Wiley, Indian Edition, 2005. \\n2. Antenna and Wave propagation, J D Kraus, TMH. \\n3. Antenna and Wave propagation, A. R. Harish and M. Sachidananda, Oxford University Press, 2007. \\nReference books: \\n1. Electromagnetic Waves and Radiating Systems, E.C. Jordan and K.G. Balmain, Prentice Hall of India, \\n2005. \\n2. Elements of Electromagnetics, Mathew N. O. Sadiku, Third Edition, Oxford Press. \\n \\nSubject Code: OE2D05 Course Title: Packaging Design and Branding \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Tech/B.Des Semester : IV \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail- \\nGlobal Packaging Branding and Promotion. [07H Lecture,+3H Lab] \\nDigital Image Manipulation Applications. [07H Lecture,+3H Lab] \\nPackaging Research and conceptualization, Packaging Design Approaches and Techniques. \\n [07H Lecture,+3H Lab] \\nPackaging Design Realization, Packaging Form and Elements. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Van Roojen, P., &Hronek, J. (2010). Basic Packaging. Pepin Press. \\n2. Denison, E., &Ren, G. Y. (2001). packaging prototypes 3: Thinking Green (Vol. 3). RotoVision. \\n3. Pecht, M. (1991). Handbook of electronic package design (Vol. 76). CRC Press. \\n4. Bringhurst, R. (1992). The elements of typographic style (Vol. 127). Point Roberts: Hartley & Marks. \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 42}, page_content=' \\n \\n \\nSubject Code: OE2D06 Course Title: Interface Design \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Des Semester : IV \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail \\nInterface design basics, [07H Lecture,+3H Lab] \\nInterface and interaction, components [07H Lecture,+3H Lab] \\nUsability principles. [07H Lecture,+3H Lab] \\nApplication of interface design in product and space. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Tidwell, J. (2010). Designing interfaces. \"O\\'Reilly Media, Inc.\". \\n2. Stone, D., Jarrett, C., Woodroffe, M., & Minocha, S. (2005). User interface design and evaluation. \\nMorgan Kaufmann. \\n3. Baumann, K., & Thomas, B. (2002). User interface design of electronic appliances. CRC Press. \\n \\nSubject Code: OE2M06 Course Title Fundamental of Robotics \\nContact Hours L-3, T-0, L-0, Credit 3 \\nProgramme B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (20%), Quiz II (10%), End term (30%), Lab (30%) \\n Course Detail : \\nModule 1: Introduction [02H] \\n1. Introduction and Classification of robots \\n2. Introduction to Mechanical, Electrical and Electronics Elements of robots such as joints, links \\nModule 2: Robot Kinematics [11H] \\n1. Robot as Mechanism \\n2. Joints and degrees of freedom \\n3. Position and orientation of a rigid body \\n4. Homogeneous transformations, Euler Angle \\n5. Direct kinematics of serial robots, Introduction to D-H parameters and its physical significance \\n6. Inverse kinematics of serial robots \\n7. Kinematics of mobile robot, Non-holonomic and holonomic robots \\nModule 3: Sensors and Actuators [05H] \\n1. Sensors for robots: Introduction and their characteristics: \\na. Position, Velocity and Acceleration sensors \\nb. Force, pressure and Torque sensors \\nc. Light, infrared, proximity and range finder sensors \\n 2. Actuators for robots: Introduction to servo and stepper motors, pneumatic and hydraulic actuators \\nModule 4: Robot Motion and Control [08H] \\n1. Brief introduction to trajectory planning for serial robots \\n2. Reactive navigation for mobile robot \\n3. Global navigation \\n4. Trajectory-following control –basics of feedback and motion control \\nModule 5: Intelligent robots [02H] \\nIntelligent robots: Programmable and autonomous '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 43}, page_content='Lab: \\n1. Demonstration of components of a robot \\n2. Practice on joints, links and degrees of freedom \\n3. Simulation of position and orientation of a robot \\n4. Simulation for forward kinematics of puma or similar robot \\n5. Simulation for kinematics of mobile robot \\n6. Inverse kinematics analysis of puma or similar robot \\n7. Practice on Sensors and actuators (2 labs) \\n8. Simulation and hardware implementation of Trajectory following robot (4 labs) \\nText/Reference books: \\n1. Introduction to Robotics by Saeed B. Niku \\n2. Robot Motion and Planning by Choset \\n3. Introduction to Robotics: Mechanics and Control by Craig \\n4. Robot Modeling and Control by M. Spong, S. Hutchinson, and M. Vidyasagar \\n \\nSubject Code: OE2S09 Course Title Management Concept and Technology \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester IV \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Midterm (20%), Quiz II (10%), End term (60%) \\nCourse Detail : \\nIntroduction to Operations Management: \\nFunctional Subsystems of Organization, Definition, Systems Concept of Production, Types of Production \\nSystems – Flow Shop, Job Shop, Batch Manufacturing, The Project, Productivity, Strategic Management – \\nCorporate Strategic, Generic competitive Strategies, Functional Strategies, Gross Domestic Product and its \\nimpact, World Class Manufacturing. [06H] \\nProduct & Process Design and Analysis: \\nProduct Design and Analysis is (Definition), new product development - its concepts, Steps of Product \\nDesign, Process Planning and Design -Selection of Process, Process Selection Decision, Process Planning \\nDesign, Responsibilities of Process Planning Engineer, Steps in Process Planning. Process Design - Process \\nResearch, Pilot Development, Capacity Consideration, Commercial Plan Transfer, Enhanced Capacity Using \\nOptimization. Value Analysis/Value Engineering – History of Value Analysis/Value Engineering, When to \\nApply Value Analyses is, Function, Aims, Value Engineering Procedure, Advantages and Application Areas. \\nStandardization: Standardization Procedure, Advantages of Standardization, Application of \\nStandardization. Ergonomic Considerations in Product Design. [09H] \\nStatistical quality control: Quality Improvement in the Modern Business Environment, the DMAIC Process \\nMethods and Philosophy of Statistical Process, Control Charts for Variables, Control Charts for Attributes \\nProcess and Measurement System Capability Analysis [07H] \\nPlant Location & Plant Layout: \\nFactors Influencing Plant Location, Break -even Analysis. Single Facility Location Problem, Multi facility \\nLocation Problems –Model for Multi -facility Location Problem, Method of Transformation, Model to \\nDetermine X - Coordinates of New Facilities, Model to Determine Y - Coordinate, Plant Layout - Plant \\nlayout introduction, Classification of Layout, Advantages and limitations of Product Layout, Advantages \\nand limitations of Group Technology Layout, Layout Design Procedures. [06H] \\nScheduling: \\nIntroduction, Johnson’s Problem, Extension of Johnson’s rule. Job Shop Scheduling: Introduction, Types of \\nSchedules, Schedule Generation, heuristic Procedures, Priority Dispatching Rules. Two Jobs and Machines \\nScheduling. [04H] \\nMaterials Management: '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 44}, page_content='Integrated Materials Management, Components of Integrated Materials Management – Materials \\nPlanning, Inventory Control, Purchase Management, Stores Management. Inventory Control - Inventory \\nDecisions, Costs Trade Off. Models of Inventory, Operation of Inventory Systems, Quantity Discount, \\nImplementation of Purchase Inventory Model, Purchasing Management, Stores Management – Incoming \\nMaterials Control, Store Accounting, Obsolete Surplus and Scrap Management, ABC Analysis, XYZ Analysis, \\nVED Analysis is, FSN Analysis, SDE Analysis. [08H] \\nText/Reference books: \\n1. Panneerselvam “ Production and Operations Management” PHI,2012 \\n2. H.Kaushal, Production / Operations Management, Case Study Solutions, MacMillan, 2012. \\n3. Ajay K Garg, Production and Operations Management, TMH, 2012 \\n4. B. Mahadevan, Operations Management: Theory and Practice, Second Edition, Pearson, 2010. \\n5. Danny Samson “Operations Management: Integrated Approach” Cambridge, 2012. \\n6. Kenneth K. Boyer, Rohit Verma, Operations Management: Cengage Learning, 2011. \\n7. Dipak Kumar Bhattacharyya, Production and Operations Management, Universities Press,2012. \\n8. Prof. L.C. Jhamb: Production Operations Management, 18th ed ition, Everest Publishing House,2013. \\n9. J.K, Sharma: Operations Research, Macmillian, 2013 \\n \\n Year Long Courses (Common for B.Des and B.Tech) \\n \\n \\nSubject Code: PC2002 Course Title Professional Development Course \\nContact Hours L-1, T-0, L-0, Credit 1 \\nProgramme B.Des/B.Tech Semester IV \\nPre-requisites NIL \\nEvaluation scheme \\nCourse Detail : \\n Strengthen Aptitude \\n(A). Reasoning Aptitude \\n\\uf0b7 Syllogisms / Deductions \\n\\uf0b7 Analytical Reasoning \\n\\uf0b7 Logical Reasoning \\n\\uf0b7 Data interpretation \\n\\uf0b7 Clocks & Calendars \\n\\uf0b7 Different patterns of puzzles – Quant based \\n\\uf0b7 Data arrangement analysis and critical reasoning \\n\\uf0b7 Data sufficiency \\n\\uf0b7 Coding Decoding and all others. \\n(B). Quantitative Aptitude \\n\\uf0b7 Vedic Mathematics concepts \\n\\uf0b7 Concepts and Problem solving for time, speed, and distance; percentage; Profit, loss, and \\ndiscount; age problems, number properties; ratio and proportion; mixtures and solutions; \\ntime and work etc. \\n\\uf0b7 Concepts and Problem solving for permutation and combination; probability; geometry; \\nnumber series; word problem etc. \\n(C). Verbal Aptitude \\n\\uf0b7 General grammar rules \\n\\uf0b7 Comprehension and logic questions \\n\\uf0b7 Concept building - reading comprehen sion, vocabulary building, confusing words, suitable \\nwords, verbal analogy, spotting errors in sentences etc. \\n\\uf0b7 Advance reading comprehension '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 45}, page_content='\\uf0b7 Passage analysis \\n\\uf0b7 Vocabulary testing \\n\\uf0b7 Jumbled sentences \\n\\uf0b7 Sentence improvisation \\n(D). Preparation for Psychometric Tests and Story Building Concepts \\n \\nB.Tech Semester-V \\n \\nSubject Code: DS3001 Course Title: Engineering Design - Including \\nContact Hours: L-1, T-0, P-6 Design and Fabrication Project \\nProgramme : B.Tech Credit: 4 \\nPre-requisites: NIL Semester : V \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nIntroduction to Engineering Design: Importance of Design, Design Philosophy, History of Design, Design \\nParadigm, the Design Process, Good Design, Engineering Analysis, Design phases, Produc t and Process \\nCycle. [06H] \\nNeed Identification and Problem Definition: Identifying customer needs, Benchmarking, Quality Function \\nDeployment, Engineering Design Specification [06H] \\nConcept Design: Creativity and Problem Solving, Functional requirements, Product Component \\nDecomposition, Product Function Decomposition, Conceptual Decomposition, Generating Design \\nConcepts, Product Form and Geometry, Product Aesthetics, Evaluating alternative Concepts, Theory of \\nInventive Problem Solving, Axiomatic Design, Concept Evaluation Methods, Decision Making. [06H] \\nEmbodiment Design: Introduction, Product Architecture, Configuration Design, Parametric Design, Best \\nPractices, Industrial Design, Human Factors Design, Design For X (DFX) - Function, Assembly, Manufacture, \\nEnvironment,Robustness, Reliability, Recyclability, etc. [06H] \\nMaterials Selection: Performance Characteristics of Materials, the Material Selection Process, Economics \\nof Materials, Material Selection Methods. [08H] \\nSelection of Manufacturing Processes : Manufac turing Processes, Costs of Manufacturing, Process \\nSelection. [04H] \\nText/Reference books: \\n1. Ulrich, Karl.T. and Eppinger, Steven.D.(2012). Product Design and Development, McGraw-Hill \\n2. Buede, Dennis.M. (2009). The Engineering Design of Systems: Models and Methods, John Wiley & Sons \\ninc \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nCourse Code CS3011 Course Title Artificial Intelligence \\nContact Hours L-3,T-0,P-0 Credit 3 \\nProgram B.Tech Semester V \\nPre-requisites None '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 46}, page_content='Evaluation Scheme Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will understand the principles and development of artificial \\nintelligence. They will also learn its many applications in different areas. \\nCourse Details: \\nModule 1: Overview: foundations, scope, problems, and approaches of AI, Intelligent agents: reactive, \\ndeliberative, goal -driven, utility -driven, and learning agents, Artificial Intelligence programming \\ntechniques. Problem -solving through Search: forward and backward, state -space, blind, heuristic, \\nproblem-reduction, A, A*, AO*, minimax, constraint propagat ion, neural, stochastic, and evolutionary \\nsearch algorithms, sample applications. [10H] \\nModule 2: Knowledge Representation and Reasoning: ontologies, foundations of knowledge \\nrepresentation and reasoning, representing and reasoning a bout objects, relations, events, actions, time, \\nand space; predicate logic, situation calculus, description logics, reasoning with defaults, reasoning about \\nknowledge, sample applications. Planning: planning as search, partial order planning, construction and use \\nof planning graph. [10H] \\nModule 3: Representing and Reasoning with Uncertain Knowledge: probability, connection to logic, \\nindependence, Bayes rule, bayesian networks, probabilistic inference, sample applications, Decision -\\nMaking: basics of utility theory, decision theory, sequential decision problems, elementary game theory, \\nsample applications. [10H] \\nModule 4: Machine Learning and Knowledge Acquisition: learning from memorization, examples, \\nexplanation, and exploration, learning nearest neighbour, naive Bayes, and decision tree classifiers, Q -\\nlearning for learning action policies, applications, Sample Applications of AI. [10H] \\nText/Reference books: \\n1. N. J. Nilsson, Artificial Intelligence-A Modern Synthesis. Palo Alto: Morgan Kaufmann, 1998. \\n2. N. J. Nilsson, Principles of Artificial Intelligence. Palo Alto, CA: Tioga, 1981. \\n3. E. Rich, K. Knight, Artificial Intelligence, New York: McGraw Hill, 1991. \\n4. S.S.V Chandra, S. A. Hareendran, Artificial Intelligence and Machine Learning, PHI, 2014. \\n \\nSubject Code: EC3011 Course Title Digital Communication \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester V \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nCourse Detail : \\nReview of Random Variables and Random Processes. [03H] \\nOptimum Receivers for the AWGN channel, Signal Design for bandlimited channels. [10H] \\nDigital Pass Band Transmission and Reception: Introduction to Pass band Transmission model: Generation, \\nDetection, Signal space diagram, Error performance - Coherent and Non-coherent detection systems, bit \\nerror probability and Power spectra of BPSK, QPSK, FSK and MSK schemes, Differential phase shift keying, \\nComparison of Digital modulation systems using a single carrier - Carrier and symbol synchronization.[12H] \\nInformation theory and error control coding: Communication channel, Channel matrix, Channel capacity, \\nDiscrete memory less channels, Linear block codes - Cyclic codes - Convolutional codes - Maximum \\nlikelihood decoding of convolution codes-Viterbi Algorithm, Trellis coded Modulation. [07H] \\nOverview of spread spectrum: Pseudo-noise sequences: a notion of spread spectrum: Direct sequence \\nspread spectrum, Frequency hop spread spectrum, Maximum length and Gold codes. [10H] \\nText/Reference books: \\n1. John G. Proakis, Masoud Salehi, “Fundamentals of Communication Systems” Pearson, 2005. \\n2. H. P. Hsu, “Analog and Digital Communications,” Schaum’s Series, Tata McGrawHill, 2e, 2006 \\n3. Simon Haykins, “Communication Systems” John Wiley, 4th Edition, 2001 \\n4. H. Taub, D. Schilling, and G. Saha, “Principles of Communication Systems, ” McGraw-Hill” 2013. \\n5. B. P. Lathi and Z. Ding, “Modern Digital and Analog Communication Systems,” Oxford Univ. Press, '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 47}, page_content=\"January 2009, 4/e. \\n6. S. Haykin and M. Moher, “An Introduction to Analog and Digital Communications,” Wiley, January 2006, \\n2/e. \\n \\nSubject Code: ME3011 Course Title: Heat Transfer \\nContact Hours: L-3, T-0, P-2 Credit: 4 \\nProgramme : B.Tech Semester : V \\nPre-requisites: NIL \\nEvaluation scheme Course Detail : \\n1. Introduction to heat transfer [06H] \\n2. Conduction: Fourier's Law, One dimensional heat transfer, with and without heat generation, Transient \\nconduction, Through Composite walls. [10H] \\n3. Extended Surfaces: Heat transfer from finned surfaces, Fin Efficiency, Effectiveness. [08H] \\n4. Convection: Free and forced convection, Flow and thermal boundary layer equations, laminar flow \\nthrough circular pipe, constant heat flux and constant wall temperature conditions, Overall heat transfer \\ncoefficient. Heat exchangers. [10H] \\n5. Thermal Radiation: Radiation properties, Plank's Law, Kirchoff's law, Heat exchange between two \\nsurfaces [08H] \\nText/Reference books: \\n1. Fundamentals of Heat and Mass Transfer, F. P. Incropera and D.P. Dewitt (Wiley).. \\n2. Heat and Mass Transfer, JP Holman \\n \\nSubject Code: DS3009 Course Title: Service Design \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Des Semester : V \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail: \\nProvides insights into the relationships between people, technology (in the broadest sense of the word - \\npaper is a technology) and design. [07H Lecture,+3H Lab] \\n Using cultural and design theories as frameworks it explores through hands-on design projects and case \\nstudies the ways in which service design practices creatively engage with new trends in society. \\n [07H Lecture,+3H Lab] \\nThe ways in which technologies change society, and the ways in which people (users) shape design \\npractices. [07H Lecture,+3H Lab] \\nReconsider designers and users as the ultimate authors of all new designs, technologies or services. \\n [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. ERL, T. (2008). SOA: principles of service design (Vol. 1). Upper Saddle River: Prentice Hall. \\n2. This is service design thinking: Basics, tools, cases. BIS, 2012. \\n3. Macintyre, M., Parry, G., & Angelis, J. (Eds.). (2011). Service design and delivery. Springer Science \\n& Business Media. \\n \\n \\nSubject Code DS3010 Course Title Sustainable Design \\nContact Hours L-2, T-0, P-2 Credit 4 \\nProgramme B.Des Semester 5 \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nSustainable design principles. [07H Lecture,+3H Lab] \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 48}, page_content='Physical, mental, spiritual, cultural, social, ethical and economic issues in designing for sustainability. \\n [07H Lecture,+3H Lab] \\nEcological footprints, ecosystem impact. Waste, reuse and recycling, benign emissions, green design, \\nintegrated DFE/Eco design, [07H Lecture,+3H Lab] \\nDesign for sustainability, eco innovation, system -wide product/service strategies, sustainable \\nconsumption, health, modeling and mapping. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Williams, D. E. (2007). Sustainable design: Ecology, architecture, and planning. John Wiley & Sons. \\n2. Bhamra, T.& Lofthouse, V. (2007). Design for sustainability: a practical approach. Gower Publishing, \\nLtd. \\n3. Vallero, D. A., &Brasier, C. (2008). Sustainable design: the science of sustainability and green \\nengineering. John Wiley & Sons \\n \\nSubject Code: DS3011 Course Title: Design Management \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Des Semester : V \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nSkills, knowledge and learning style evaluation, personal goal setting and professional development \\nplanning. [07H Lecture,+3H Lab] \\nInsight into the context that businesses and organizations operate in, how they view and use design, and \\ntheir relationship with designers. [07H Lecture,+3H Lab] \\nExamine the roles of design and innovation in achieving organizational objectives. [07H Lecture,+3H Lab] \\nTo bring together the languages of design and business, it considers organizational objectives, how design \\nand innovation deliver value and return on investment is evaluated. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Best, K. (2006). Design management: managing design strategy, process and implementation. AVA \\npublishing. \\n2. Cooper, R., Junginger, S., & Lockwood, T. (Eds.). (2013). The handbook of design management. A&C \\nBlack. \\n3. Martin, R. L. (2009). The design of business: Why design thinking is the next competitive advantage. \\nHarvard Business Press. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 49}, page_content='OE1 Choose any one course from below electives \\n \\nSubject Code: OE3C24 Course Title Parallel Computing \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester V \\nPre-requisites NIL Evaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\nCourse Detail : \\nParadigm of Parallel Computing: Flynn’s taxonomy, Pipelining, SIMD, MIMD, Classification of parallel \\ncomputers [05H] \\nProgramming Parallel Computers: Parallel Programming, Parallel Languages, Cognitive Training [04H] \\nConnectivity: Synchronizing Communications, role of Memory, Network design, System Interconnections \\n [04H] \\nData Flow Computer: dataflow graphs, elements of dataflow computers [04H] \\nSoftware Issues in Parallel Computing: ideal Situation, using existing serial programs [04H] \\nText/Reference books: \\n1. Elements of Parallel Computing, V Rajaraman, Prentice Hall, 2006 \\n2. Parallel Computing: Principles and Practice, T. J. Fountain, Cambridge University press, 2006 \\n \\nSubject Code: OE3E25 Course Title VLSI Design Modeling \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester V \\nPre-requisites NIL Evaluation scheme Course Detail : \\nText/Reference books: \\n \\n \\nSubject Code: OE3E25 Course Title VLSI Design Modeling \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester V \\nPre-requisites NIL Evaluation scheme Course Detail : \\nText/Reference books: \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 50}, page_content='Subject Code: OE3M26 Course Title Computer Aided Design \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VI \\nPre-requisites NIL \\nEvaluation scheme Quizzes (20%); Mid-sem (20%) Programming Project (20%) and End sem (40%) \\nCourse Detail : \\nIntroduction: \\nObjective, scope, overview, CAD software, mathematical background, applications [04H] \\nTransformations: \\nRotation, translation, scaling, reflection, shear and combined transformations in 2D and 3D, computer-\\naided assembly [06H] \\nProjections: \\nOrthographic, axonometric, oblique and perspective projections [04H] \\nCurves: \\nParametric representation of analytic curves, representation of synthetic curves- Hermite/ Ferguson, \\nBezier, B-spline, rational curves, NURBS/NUBS, curve manipulations, Analytical properties [10H] \\nSurfaces: \\nSurface representation, parametric representation of analytic surfaces- plane, ruled, surface of \\nrevolution etc., representation of synthetic surfaces- Hermite, Bezier, B-spline, coons, sculptured etc., \\nsurface manipulations, curves on surfaces, surface with irregular boundaries, analytic properties, \\napplication in reverse engineering, design of turbine blades etc. [08H] \\nSolids: \\nIntroduction, representation of solids, fundamentals of solid modeling, solid representation schemas \\n(B-rep, CSG, Sweep, ASM etc), solid manipulations, solid modeling-based applications in manufacturing \\nand assembly (CNC machining, Rapid prototyping). [08H] \\nAdvanced Topics: \\nGeometric modeling using point clouds, CAD/CAM data exchange [02H] \\nText/Reference books: \\n1. Zeid, Ibraheim, CAD/CAM: Theory and Practice, Revised First Edition, Tata McGraw Hill,2007. \\n2. Rogers, D.F and Adams, J.A., Mathematical Elements for Computer Graphics, Tata McGraw Hill, 2002. \\n3. Mortenson, Michael E., Geometric Modeling, Third Edition, Industrial Press Inc., 2006. \\n4. Saxena and Sahay, Computer Aided Engineering Design, Anamaya Publications \\n5. Faux, I. D. and Pratt, M. J., Computation Geometry for Design and Manufacture, John Wiley (Ellis \\nHorwood Ltd.), 1983. \\n6. Choi, B. K., Surface Modeling for CAD/CAM, Elsevier. \\n7. Farin, Gerald, Curves and Surfaces for Computer Aided Geometric Design – A Practical Guide, \\nAcademic Press Inc.1991. \\n8. Lee, Kunwoo, Principles of CAD/CAM/CAE Systems, Addison Wesley, 1999. \\n9. Yamaguchi, Curves and Surfaces in Computer Aided Geometric Design, Springer, 1988. \\n10. Ryan, D. L., Computer-Aided Graphics and Design, Marcel Dekker Inc., 1994. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 51}, page_content=' \\nSubject Code: OE3M27 Course Title Vibration of \\nContact Hours L-3, T-0, P-0 Mechanical Systems \\nProgramme B.Tech Credit 3 \\nPre-requisites NIL Semester V \\nEvaluation scheme Quizes (20%); Mid-sem (35%) and End-sem (45%) \\nCourse Detail : \\nIntroduction to vibration and un-damped free vibrations: \\nTypes of vibrations. Single degree of freedom systems and Simple problems. Formulation- Newton’s \\nsecond law, Energy method and Principle of virtual work. Introduction, undamped free vibration – \\nnatural frequency of free vibration, stiffness of spring elements, effect of mass of spring. [10H] \\nDamped free vibrations: \\nSingle degree freedom systems, different types of damping, concept of critical damping and its \\nimportance, study of response of viscous damped systems for cases of under damping, critical and \\nover damping, Logarithmic decrement. [06H] \\nForced Vibration: \\nSingle degree freedom systems, steady state solution with viscous damping due to harmonic force, \\nsolution by complex algebra. Concept of response, Reciprocating and rotating unbalance, vibration \\nisolation – transmissibility ratio. Energy dissipated by damping, sharpness of resonance, base \\nexcitation. [08H] \\nSystems with two degrees of freedom: \\nIntroduction, principal modes and normal modes of vibration, co-ordinate coupling, generalized and \\nprincipal co-ordinates, free vibration in terms of initial conditions. Geared systems. Forced Oscillations \\n– Harmonic excitation. Applications: (a) Vehicle suspension (b) Dynamic vibration absorber (c) \\nDynamics of Reciprocating Engines. [09H] \\nNumerical methods for Multi degree Freedom Systems: \\nOrthogonality of principal modes, Holzer’s method, Rayleigh’s method. [04H] \\nVibration monitoring and analysis: \\nIntroduction, Accelerometer and vibrometers. Machinery signatures, Selection of Transducers and \\nsignal conditioning. Analysis Techniques, Machine failure modes, Measurement location, Vibration \\nseverity criteria, vibration frequency analysis. Case studies. [05H] \\nText/Reference books: \\n1. Thomson, W.T., Theory of vibration with applications, Third Edition, 1997. \\n2. Rao, S. S., Mechanical Vibrations, Fourth Edition, Addison Wesley, 2004. \\n3. Caollacott, R. A.; Chapman, Mechanical Fault Diagnosis and Condition Monitoring, Chapman and \\nhall, 1977. \\n4. Rao, J. S., Advanced Theory of Vibration, Wiley Eastern Ltd. New Delhi, 1992. \\n5. Jones, R. J. and Wykes, C., Holographic and Speckle Interferometry, Cambridge University Press, \\nCambridge, 1983 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 52}, page_content=' \\nSubject Code: DS5011 Course Title: Applied Ergonomics \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Des Semester : V \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail : \\nErgonomics in transportation design, [07H Lecture,+3H Lab] \\nMedical equipment design, [07H Lecture,+3H Lab] \\nErgonomics in toy and game design. [07H Lecture,+3H Lab] \\nErgonomic principles in developing pleasurable products etc. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Burke, M. J. (1991). Applied ergonomics handbook. CRC Press. \\n2. Karwowski, W., &Marras, W. S. (Eds.). (1998). The occupational ergonomics handbook. CRC Press. \\n3. Duffy, V. G. (Ed.). (2008). Handbook of digital human modelling: Research for applied ergonomics and \\nhuman factors engineering. CRC press. \\n \\nSubject Code DS5012 Course Title Visual Ergonomics \\nContact Hours L-2, T-0, P-2 Credit 4 \\nProgramme B.Des Semester 5 \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail : \\nVisual ergonomic principles, [07H Lecture,+3H Lab] \\nErgonomics in typography. [07H Lecture,+3H Lab] \\nErgonomics in cartography. [07H Lecture,+3H Lab] \\nErgonomics in information design. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Anshel, J. (Ed.). (2005). Visual ergonomics handbook. CRC Press. \\n2. Anshel, J. (2002). Visual ergonomics in the workplace. CRC Press. \\n3. Woodson, W. E., Tillman, B., & Tillman, P. (1992). Human factors design handbook: information and \\nguidelines for the design of systems, facilities, equipment, and products for human use. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 53}, page_content=' \\nSubject Code: OE3D25 Course Title Lighting Design \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Des Semester V \\nPre-requisites NIL \\nEvaluation scheme Assignment I (15%), Midterm (30%), Assignment II (15%). End term (40%) \\nLearning Objective: The course will help to develop basic knowledge about Illumination ngineering and \\nits application in space. It will also help to develop the idea about methods and tools required for the \\nlighting design in both interior and exterior spaces. \\nDetailed Course Content: \\nModule 1 : Fundamentals of Illumination Engineering, Photometric standards Measurement of \\nPhotometric quantities. Colorimetry [10H] \\nModule 2 : Visual system-structure. continuous adjustment of photopic, scotopic and mesopic vision, \\nvisual perception, Glare. [10H] \\nModule 3 : Basic concepts of lighting design- design objectives, design parameters, qualitative & \\nquantitative evaluation of lighting \"systems. [10H] \\nModule 4 : Lighting Guidelines, Lighting Design Tools. Case Studies. [10H] \\nText/Reference books: \\n1. Meshkov, V. V. (1981). Fundamentals of illumination engineering, Mir. \\n2. Handbook, l. L. (1995). Illuminating Engineering. Society, USA. \\n3. Steffy, G. 2002 . Architectural lighting design. John Wiley & Sons. \\n \\n \\nubject Code: DS3015 Course Title: Design Forecasting and Trend \\nContact Hours: L-3, T-0, P-0 Research \\nProgramme : B.Des Credit: 3 \\nPre-requisites: NIL Semester : VI \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCompetitor product analysis, [07H Lecture,+3H Lab] \\nFuture trends, [07H Lecture,+3H Lab] \\nPatent Search / Review of IP, [07H Lecture,+3H Lab] \\nInternational developments study and, new materials and processes review. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Raymond, M. (2010). The trend forecaster\\'s handbook. Laurence King. \\n2. Kahn, K. B. (2010). New‐Product Forecasting. John Wiley & Sons, Ltd. \\n3. Mendelsohn, L. B. (2000). Trend forecasting with technical analysis. \\n \\n \\n \\nOE04 (Choose any one course from below electives) \\n \\nCourse Code OE3C28 Course Title Cyber Security \\nContact Hours L-2, T-0, P-3 Credit 3 \\nProgram B.Tech/B.Des Semester VI \\nPre-requisites None \\nEvaluation Scheme Quiz I (10%), Mid-Term (20%), Lab (20%), End term (40%), Project (10%) \\nLearning Objective : This course is aimed at giving students the introductory concepts of Cyber Security. \\nThe course will introduce the concepts of Cybersecurity and will enable the students to create secure \\nnetworking infrastructure. \\nCourse Details: \\n \\n \\nModule 1: Introduction: Basics of cybersecurity, cyber attacks, attack vectors, vulnerability assessment, '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 54}, page_content='Threat analysis and modeling, cyber laws and ethics. [06H] \\nModule 2: Identifying an d defending against cyber attacks: Dictionary attacks, Software exploits - SQL \\nInjection, XSS; Social engineering exploits - phishing attacks; Network attacks - MITM, Broadcast storms, \\nsession hijacking, denial of service, zero day vulnerabilities. [10H] \\nModule 3: Intrusion Detection and Prevention: Firewalls, anti virus softwares, Intrusion detection tools, \\ndefending against malicious software, hardening operating system, honeypots, data security. [08H] \\nModule 4: Malware analysis and Defense: Types of malware, malware analysis techniques, malware \\nfunctionalities: malware behaviour, covert malware launching, malware -focused network signatures; \\nstatic malware analysis: antivirus scanning, reverse engineering; dynamic malware analysis: sandboxing,\\n [10H] \\nCybersecurity Lab: [32H] \\n1. Setting up an virtual lab for cybersecurity experiments. \\n2. Understanding the basic assessment tools:- ifconig, whois, nslookup, ping, traceroute, telnet \\n3. Network monitoring tools: wireshark, snort, metasploit, nmap, tcpdump\" \\n4. Burp suit & DVWA for software exploits and defense: SQL injection, XSS, etc.\" \\n5. Performing and defending against network exploits: MITM, session hijacking, ARP spoofing, etc.\" \\n6. Installing snort IDS for log assessment. \\n7. Using IP tables in linux to create firewalls. \\n8. Analyzing malware behaviour and launching covert malwares, building trojans \\n9. Static malware analysis techniques: anti virus scanning, hashing, reverse enigineering \\n10. Dynamic malware analysis techniques: sandboxes , registry comparison with regshot, debugging with \\nOLLYDBG \\n11. Project. \\n \\nText/Reference books: \\n1. Brooks, Charles J., Grow, Christopher, Craig, Philip A., Short, Donald, \\'\\'Cybersecurity Essential\" by \\nSybex \\n2 . John Snowden, “Cybersecurity: An Ultimate Guide to Cybersecurity, Cyberattacks, and Everything you \\nshould knw about being safe on the Internet”, willey. \\n\"3. Georgia Weidman, \"Penetration Testing: A Hands-On Introduction to Hijacking\\'\\', no starch\" press \\n\"4. Michael Sikorski and Andrew Hoing , \\'\\'Practical Malwar e Analysis: A Hands -On Guide to Disecting \\nMalicious Software\\'\\',no starch press \\n \\n \\n \\n \\nCourse Code CS8007 Course Title Social Network Analysis \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgram B.Tech/B.Des Semester VI \\nPre-requisites None \\nEvaluation Scheme Assignments (10%), Project (20%),Midterm (30%), End term (40%) \\nLearning Objective : \\n1. To enable the students to master the knowledge about network growth models and their \\nCharacteristics. \\n2. Formalize different types of entities and relationships as nodes and edges and represent this\" \\ninformation as relational data \\n3. Use advanced network analysis software to generate visualizations and perform empirical \\ninvestigations of network data. \\n4. Interpret and synthesize the meaning of the results with respect to a question, goal, or task.\" \\n5. Collect network data in different ways and from different sources while adhering to legal standards \\nand ethics standard. \\nCourse Details: \\n \\n \\nModule1: \\nIntroduction: How services such as Facebook, LinkedIn, Twitter, etc. are using SNA to understand their \\nusers and improve their functionality. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 55}, page_content='Network Concept: Introduction, Graphs, Paths and components, Adjacency Matrices, Ways and Modes, \\nMatrix Product, node degree, types of nodes and types of ties, actor attributes [08H] \\nModule2: \\nRandom network models: Erdos-Renyi , Barabasi-Albert , Watts-Strogatz, small-world model, shortest \\npath, six degree of separation \\nSocial Network Visualization Tools: Gephi, NetLogo, Pajek, EgoNet [08H] \\nModule3: \\nCharacterizing whole network: Cohesion, reciprocity, Transitivity and clustering \\nCoefficient, Triad census \\nNetwork centrality: Undirected Non-valued networks, Degree, Eigenvector, betweeness Directed Non-\\nvalued, Networks: Degree, Eigenvector, closeness. \\nValued Networks, Negative tie \\nCommunity Detection: clustering, community structure, modularity, overlapping communities [10H] \\nModule4: \\nLink Prediction The Katz Score, Hitting & Commute Time, Rooted PageRank, SimRank, Predictors \\nSummary, Meta-measures \\nInformation Diffusion: Cascading Behavior, Herd Behavior, Information, Cascade Model, Threshold \\nModel, Cascade Maximization, Epidemic Modeling. [08H] \\nModule 5: \\nSecurity and Privacy in Social Network: Introduction, K-Anonymity, L-Diversity, Q-Anon, \\nT- Closeness [08H] \\nText/Reference books: \\n1. Liu, Bing, Web data mining. Springer-Verlag Berlin Heidelberg, 2007. \\n2. Chakrabarti, Soumen, Mining the Web: Discovering knowledge from hypertext data, Morgan \\nKaufmann, 2003. \\n3. Scime, Anthony, ed. Web mining: applications and techniques, IGI Global, 2005. \\n4. Hitzler, Pascal, Markus Krotzsch, and Sebastian Rudolph, Foundations of semantic web technologies, \\nCRC Press, 2011. \\n5. King, Andrew B. Website optimization. \"O\\'Reilly Media, Inc.\", 2008. \\n6. Segaran, Toby. Programming collective intelligence: building smart web 2.0 applications, \"O\\'Reilly \\nMedia, Inc.\", 2007. \\n7. Charu.C. Aggarwal, Social Network Data Analytics, Springer Science+Business Media, LLC, 2011 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 56}, page_content=' \\n \\n \\n \\nSubject Code: OE3E29 Course Title Industrial Microwave and \\nContact Hours L- 3 , T- 0 ,P- 0 Communication \\nProgramme B.Tech/B.Des Credit 3 \\nPre-Requisites Electromagnetics Semester VI \\nEvaluation scheme Quiz I ( 25 %), Midterm ( 25%), Quiz II ( 25 %), End term ( 25 %) Project ( %) \\nCourse Detail \\nModule 1 \\nWaveguide Components: Overview of Attenuators, Phase Shifters, Matched Loads, Detector Mounts, \\nSlotted Sections, E and H Plane Tees, etc. Signal Generators: Fixed Frequency, Sweep Frequency and \\nSynthesized Frequency Oscillators, PLL for high frequency generation [10H] \\nModule 2 \\nIndustrial Microwave: Noise Sources and Noise meters used in microwave measurements, frequency \\nmeters and VSWR meters, Measurement of frequency, attenuation, VSWR and impedance, cavity \\nmeasurements: Q factor, bandwidth; Dielectric and magnetic properties of materials: Cavity and \\nwaveguide methods, Measurement of Power: Calorimetric and Microwave bridges; principles of Time \\nand frequency domain reflectometry, Spectrum Analyser and Network Analyser, Measu rement of \\nScattering parameters of passive and active devices [10H] \\nModule 3 \\nProcesses in Industrial Microwave: Microwave in process control instrumentation, Microwave was te \\ndisposal, Microwave in agriculture and medicine, hyperthermia, etc. Microwave Heating, Microwave \\nabsorbers, EMC and EMI [10H] \\nModule 4 \\nMicrowave Communication: Microwave Radio and its components, Free space propagation model, \\nground reflection, Earth and its effect on propagation, Clutter theory, Fresnel Zones: First and Second \\norder Fresnel Zones, Signature width of radio, tolerance limits, Practical Link Budget calculations, \\nAtmospheric Attenuation [10H] \\nText Books: \\n1. Microwave Devices and Circuits, Samuel Y Liao, Pearson \\n2. Microwave Engineering, David M Pozar, Wiley \\n3. Microwave Measurements, Ananjan Basu, CRC Press \\nReference books: \\n1. T.S. Rappaport, “Wireless Communications,” Pearson Education, 2003. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 57}, page_content=' \\n \\n \\n \\nSubject Code: OE3D12 Course Title Communication Skills \\nContact Hours L-3, T-0, P-0 Management \\nProgramme B.Tech/B.Des Credit 3 \\nPre-requisites NIL Semester VI \\nEvaluation scheme Presentation (15%), Midterm (30%), Group Discussion (15%), End term (40%) \\nLearning Objective: \\n\\uf0b7 To prepare all the students for placements in campus recruitments. \\n\\uf0b7 To facilitate students with cognitive, behavioral, social and psychological underpinnings with \\ncommunication \\n\\uf0b7 To enable students to display their working knowledge in English communication skills in both \\nacademia and realia. \\nDetailed Course Content: \\nModule 1 : Self-introductions - Giving impromptu talks - Extempore speech - Comprehensive reading and \\nwriting - Intensive reading and extensive reading - Note taking – Note making - Listening to specific \\ninformation - Listening to a panel discussion – Critical appreciation and reviews -Overcoming \\ncommunication apprehension and inhibition [08H] \\nModule 2 : Casual interactions — Chatting — Personal and social communication - Public speaking skills - \\nConstructive and destructive communication - Sharing sheer knowledge, beliefs and conventions - \\nSurvival communication - Silent communication Convivial communication [10H] \\nModule 3 : Essentialities of English in oral and written business communication - Strong business acumen \\n- Understanding employer perceptions - Understanding job-specific industrial demands - Refined body \\nlanguage and culture - Updating the functional notions of Multinational Corporations (MNC) \\n-Understanding the profile of the company - Performing both hard and soft skills – Business etiquette \\nand professionalism [08H] \\nModule 4 : Positive and constructive intuitions - Self-assumptions and perceptions - Keen observations - \\nGrasping and profound understanding - Surface and deeper memory skills – Critical thinking and logical \\nanalysis - Creativity and innovative skills - Steadfastness and assertiveness in communication — \\nUnderstanding and equipping inherited talents and skills to craftsmanship - Emotional and social \\nintelligence [08H] \\nModule 5: Technical Presentations - Open and closed group discussions on technical and contemporary \\ntopics - Mock interviews - Small talk - Writing short notes - Eliciting and reporting work related enquiries \\n- Self-evaluation and peer review of group discussions [08H] \\nText/Reference books: \\n1. Comfort. Jeremy, et al. (2011). Speaking Effectively: Developing Speaking Skills for Business English. \\n Cambridge: Cambridge University Press. \\n2. Kenneth Anderson, Joan Maclean, (2013). Tony Lynch, Study Speaking, 2nd Edition, UK: cambridge, \\n University Press. \\n3. Rizvi, Ashraf. (2017). Effective Technical Communication. McGraw-Hill India. \\n4. Rutherford, Andrea J. (2001). Basic Communication Skills for Technology. New Delhi: Pearson \\n Education. \\n5. Michael Cornwall. Go Suck a Lemon: Strategies for Improving Your Emotional Intelligence. Kindle \\n Edition. \\n6. Travis Bradberry and Jean Greaves (2005). The Emotional Intelligence Quick Book. Touchstone \\n Publications. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 58}, page_content=\" \\nSubject Code: OE3D20 Course Title: Industrial Design (Elective 1) \\nContact Hours: L-2, T-0, P-2 Credit: 4 \\nProgramme : B.Tech/B.Des Semester : 6 \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail- \\nIndustrial design application in furniture design. [07H Lecture,+3H Lab] \\nIndustrial design application in interior and space design. [07H Lecture,+3H Lab] \\nIndustrial design application in transportation design. [07H Lecture,+3H Lab] \\nIndustrial design application in display and control design. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Arden, P. (2003). It's not how good you are, it's how good you want to be. Phaidon. \\n2. Hirschberg, J. (1999). The creative priority: Putting innovation to work in your business. \\n3. Cross, N. (2008). Engineering design methods: strategies for product design. John Wiley & Sons. \\n \\nSubject Code OE3M04 Course Title Computer Aided Manufacturing \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme: B.Tech/B.Des Semester VII \\nPre-requisites: NIL \\nEvaluation scheme Quiz: Mid-sem: Project: End-sem \\nObjective: To analyze different aspects of CAM, CNC programs, basics robotics, material handling system, \\nproduction management system and thus, create interdisciplinary thoughts \\nUnit 1: \\nComputer aided manufacturing: CAM concepts, objective sense scope, nature and type of manufacturing \\nsystem, evolution, benefits of CAM, role of management in CAM, concepts of computer integrated \\nmanufacturing ,impact of CIM on personal, role of manufacturing engineers, CIM basic functions [08H] \\nUnit 2: \\nNC/CNC machine tools: NC and CNC technology: types, classification, specification and components, \\nconstruction details, controllers, sensors and actuators, CNC hardware: circulating ballscrew, fiction \\nslides,step/servomotors . Axis designation, NC/CNC Tooling, fundamental programming, types of format, \\npart programming, programming for drilling,lathe and milling, canned cycles, parametric subroutines \\n [08H] \\nUnit 3: \\nProgrammable logic controllers: Relay device components, programmable controller architecture, \\nprogramming a programmable controllers, tools for PLC logic design [06H] \\nUnit 4: \\nFlexible manufacturing system and automated guided vehicle system: Types of flexibility, FMS \\ncomponents, FMS application and benefits, FMS planning and control, quantitative analysis, simple \\nproblems. Automated guided vehicle system- Application, vehicle guidance technology, vehicle \\nmanagement and safety [08H] \\nUnit 5: \\nIndustrial robotics : Robot anatomy and related attributes:classification of robots, robot control systems, \\nend effectors, sensors, accuracy and repeatability, Industrial robot application, robot part programming, \\nsimple problems [06H] \\nText or References: \\n \\n \\n \\nSubject Code: OE3M27 Course Title Vibration of Mechanical Systems \\nContact Hours L-3, T-0, L-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 59}, page_content='Evaluation scheme Quizes (20%); Mid-sem (35%) and End-sem (45%) \\nCourse Detail : \\nIntroduction to vibration and un -damped free vibrations: Types of vibrations. Single degree of freedom \\nsystems and Simple problems. Formulation- Newton’s second law, Energy method and Principle of virtual \\nwork. Introduction, undamped free vibration – natural frequency of free vibration, stiffness of spring \\nelements, effect of mass of spring. [10H] \\nDamped free vibrations: Single degree freedom systems, different types of damping, concept of critical \\ndamping and its importance, study of response of viscous damped systems for cases of under damping, \\ncritical and over damping, Logarithmic decrement. [06H] \\nForced Vibration: Single degree freedom systems, steady state solution with viscous damping due to \\nharmonic force, solution by complex algebra. Concept of response, Reciprocating and rotating unbalance, \\nvibration isolation – transmissibility ratio. Energy dissipated by damping, sharpness of resonance, base \\nexcitation. [08H] \\nSystems with two degrees of freedom: Introduction, principal modes and normal modes of vibration, co -\\nordinate coupling, generalized and principal co -ordinates, free vibration in terms of initial conditions. \\nGeared systems. Forced Oscillations – Harmonic ex citation. Applications: (a) Vehicle suspension (b) \\nDynamic vibration absorber (c) Dynamics of Reciprocating Engines. [09H] \\nNumerical methods for Multi degree Freedom Systems: Orthogonality of principal modes, Holzer’s \\nmethod, Rayleigh’s method. [04H] \\nVibration monitoring and analysis: Introduction, Accelerometer and vibrometers. Machin ery signatures, \\nSelection of Transducers and signal conditioning. Analysis Techniques, Machine failure modes, \\nMeasurement location, Vibration severity criteria, vibration frequency analysis. Case studies. [05H] \\nText/Reference books: \\n1. Thomson, W.T., Theory of vibration with applications, Third Edition, 1997. \\n2. Rao, S. S., Mechanical Vibrations, Fourth Edition, Addison Wesley, 2004. \\n3. Caollacott, R. A.; Chapman, Mechanical Fault Diagnosis and Condition Monitoring, Chapman and hall, \\n1977. \\n4. Rao, J. S., Advanced Theory of Vibration, Wiley Eastern Ltd. New Delhi, 1992. \\n5. Jones, R. J. and Wykes, C., Holographic and Speckle Interferometry, Cambridge University Press, \\nCambridge, 1983 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nCourse Code OE3M31 Course Title Machine Learning \\nContact Hours L-3,T-0,P-0 Credit 3 \\nProgram B.Tech/B.Des Semester VI \\nPre-requisites None \\nEvaluation Scheme Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : In this course students will learn to train the machine using different machine \\nalgorithms to solve the real-world prediction problems. \\nCourse Details: \\n \\n \\nModule 1: Learning Problem, Designing a Learning System, Types of Learning. Supervise Learning: Linear '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 60}, page_content='and Logistic regression, Decision Tree Learning. [10H] \\nModule 2: Instance-Based Learning, kNN and CBR, Bayesian Learning, Naive Bayes Classifier, Artificial \\nNeural Network (ANN), SVM. [10H] \\nModule 3: Unsupervised Learning: Mixture Models and EM, Clustering, K -Means, DBSCAN, Hierarchical \\nclustering, Association Rule Mining, Dimensionality Reduction. [10H] \\nModule 4: Performance Evaluation, Confusion Metrics, Evaluating Hypotheses, Confidence Interval, \\nHypothesis Testing Ensemble Learning Bagging and Boosting Formulating. Computational Lea rning \\nTheory, Issues and practical advice in Machine Learning. [10H] \\nText/ Reference books: \\n1. Tom Mitchell. Machine Learning, McGraw Hill, 1997. \\n2. Chris Bishop, Pattern Recognition and Machine Learning, Springer, 2007. \\n3. Stephen Marsland, Machine Learning an Algorithmic Perspective, Chapman and Hall/CRC, 2014. \\n4. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Foundations of Machine Learning (Adaptive \\nComputation and Machine Learning Series), MIT, 2012. \\n \\nSubject Code: ME8017 Course Title Electric Vehicle and Mobility \\nContact Hours L-3, T-0, L-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Quiz (02): 10%, Mid Sem (30%), Project / Term Paper: 15%, Assignment: (5% and \\nEnd Sem (40%) \\nLearning Objective: Aims to learn impact of EVs on the road. Does the environmental gain from vehicle \\nelectrification justify heavy investment in charging infrastructure? Whats the economics of EVs on the \\nroad? How long will it last? Whats the prospects of EVs with IOT? \\nThis course will help acquire elements from engineering science, sociology, environmental science, political \\nscience, economics, management science, in order to evaluate, analyze and implement the diffusion of \\nelectric vehicles where their use is relevant. \\nThe course will be useful for post-graduate students and final year undergraduate students. \\nCourse Detail : \\nModule1: Understand Mobility and its Evolution \\n Mobility Challenges, ICE vs EV \\n Mobility, Urban Forms and Ways of Life \\n Energy Storage: Introduction to Energy Storage Requirements in Electric Vehicles, Battery based energy \\n storage and its analysis \\n Electric Mobility: Specifications and Evolutions [04H] \\nModule2: Electric Mobility and Environmental Impact Reduction \\nClimate Change \\nLocal Impacts of Transportation \\nLife-Cycle Assessment (LCA) [06H] \\nModule3: Electric Vehicle Battery and Energy Management \\nIntroduction to EV batteries \\nBatteries of future \\nBattery management systems \\nIntroduction to energy management strategies used in electric vehicles \\nAutomotive networking and communication \\nEV charging standards, V2G, G2V, V2B, V2H. [15H] \\nModule4: – Economic Analysis \\nEconomic Analysis Tools and Concepts \\nElectric Mobility and Environment: Economic Balance \\nMacroeconomic Scale \\nMicroeconomic Scale [06H] \\nModule5: Electric Mobility and Infrastructures: Technical and Economic Dimensions '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 61}, page_content='Issues and Situational Analysis \\nElectric Mobility Business possibilities \\nMobility Services \\nConnected Mobility \\nintegration of EVs in smart grid \\n Simulations and case studies in above mentioned areas [10H] \\nText/Reference books: \\n1. Course or other web links (https://www.coursera.org/learn/electric-vehicles-mobility) \\n \\nOE05 (Choose any one course from below electives) \\n \\nCourse Code CS8009 Course Title Image Processing \\nContact Hours L-3,T-0,P-0 Credit 3 \\nProgram B.Tech/B.Des Semester VI \\nPre-requisites None \\nEvaluation Scheme Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : Understand image formation and the role human visual system plays in perception \\nof gray and color image data. Get broad exposure to and understanding of various applications of image \\nprocessing in industry, medicine, and defence. \\nCourse Details: \\nModule 1: Digital Image Fundamentals: Image sensing, acquisition, sampling and quantization, basic \\nrelationships between pixels. Image Enhancement in Spatial Domain: Gray level transformation, \\nhistogram processing, smoothing and sharpening Spatial Filters. [08H] \\nModule 2: Image Transforms: Fourier transform and their properties, F ast Fourier transform, Other \\ntransforms, image enhancement in frequency domain. \\n[08H] \\nModule 3: Color Image Processing, Image Restoration, Image Compression. [08H] \\nModule 4: Wavelets and Multiresolution Analysis: Introduction to wavelets, scaling functions and \\nsubspaces, Subband coding, Subband decomposition of images, Continuous and Discrete wavelet \\ntransforms. Various morphological operators and their use in different applications. [08H] \\nModule 5: Image Segmentation: edge detection, Hough transform, region based segmentation, \\nRepresentation and Description: Object representation, boundary based descriptors, region based \\ndescriptors (texture and shape features). [08H] \\nText/Reference books: \\n 1. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Third Edition, Pearson, 2012. \\n 2. M Sonka, V Hlavac, R Boyle, Image Processing, Analysis, and Machine Vision, Third Edition, Thomson \\n Engineering, 2007. \\n3. W. K. Pratt, Digital Image processing, Third Edition, John Wiley & Sons Inc., 2001. \\n4. Anil K. Jain, Fundamentals of Digital Image Processing, Pearson Education, 2006. \\n \\n \\nSubject Code OE3E09 Course Title IC Fabrication \\nContact Hours L- 3 , T-0 ,P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-Requisites \\nEvaluation scheme Quiz I ( 15 %), Midterm ( 30 %), Quiz II ( 15 %), End term ( 40%) Project ( %) \\nModule 1 \\nIntroduction to IC Technology: Semiconductors and Insulators: Definition, crystal structures, physical \\nproperties, Moore’s law, Crystal Defects, Basic Fabrication Steps, Wafer Fabrication -CZ and FZ \\nTechniques, MBE, LPE and MOCVD Techniques for Crystal Growth [08H] \\nModule 2 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 62}, page_content='Thermal Oxidation of Silicon and Photolithography: Oxidation kinetics (general solution, Parabolic and \\nlinear growth and empirical modifications to the growth rate of SiO 2 and its kinetics), SiO 2/Si interface, \\ncharge traps and impurities redistribution at the interface, Photolithography steps, Photoresists, Physical \\nproperties of Resists (Sensitivity, Resolution, etc.), Exposure Energy Plots, Clean Room, RCA Cleaning \\nTechniques, Gettering, Wafer Exposure Syst ems: Proximity, Projection and Contact Printing Systems \\n [12H] \\nModule 3 \\nEtching, Diffusion and Ion Implantation: Attributes of Etchants, Selectivity and Anisotropy, Wet \\nChemical Etching, Dry etching, Sputter Etching, Plasma Etching, Reactive Ion Etching, Etch Systems, \\nDiffusion: Dopant Introduction and Redistributio n, Diffusion Equations (Fick’s laws), Constant Source, \\nDrive-in-diffusion and Burried Gaussian Source Diffusion, Mechanisms for Diffusion, Electric Field \\nEnhancement, Dose, Beam Current, Ion Implanter Basics, Stopping Mechanisms: Nuclear Stopping and \\nElectronic Stopping, Channeling, Doping Profiles, Damages caused by Ion Implantation, Annealing [15H] \\nModule 4 Metallization and Process Integration \\nOhmic and Schottky contacts, Metallization: PVD, CVD, Aluminium Metallization, Copper Metallization, \\nSilicides, Basic Fabrication Process for Passive Components, pn Junctions and CMOS [09H] \\nText Books: \\n1. S.M.Sze(2nd Edition )”VLSI Technology”, McGraw Hill Companies Inc. \\n2. C.Y. Chang and S.M.Sze (Ed), “ULSI Technology”, McGraw Hill Companies Inc. \\nReference books: \\n1. James D.Plummer, Michael D.Deal, ”Silicon VLSI Technology” Pearson Education \\n \\n \\nSubject Code: OE3E32 Course Title Biomedical Instrumentation \\nContact Hours L-3, T-0, L-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nCourse Detail : \\nPhysiology and Transducer: Cell and its structure – Action and resting – Potential propagation of action \\npotential – Sodium pump – Nervous system – CNS – PNS – Nerve cell – Synapse – Cardio pulmonary \\nsystem – Physiology of heart and lungs – Circulation and respiration – Transducers – Different types – \\nPiezo-electric, ultrasonic, resistive, capacitive, inductive transducers – Selection criteria. [09H] \\nElectro – Physiological Measurements: Basic components of a biomedical system – Electrodes – Micro, \\nneedle and surface electrodes – Amplifiers – Preamplifiers, differential amplifiers, chopper amplifiers – \\nIsolation amplifier. ECG – EEG – EMG – ERG – Lead systems and recording methods – Typical waveforms. \\n [09H] \\nNon-Electrical Parameter Measurements: Measurement of blood pressure – Cardiac output – Cardiac rate \\n– Heart sound – Respiratory rate – Gas volume – Flow rate of Co2, o2 in exhaust air - PH of blood, ESR, \\nGSR measurements – Plethysmography. [09H] \\nMedical Imaging And PMS: X -ray machine - Radio graphic and fluoroscopic techniques – Computer \\ntomography – MRI – Ultrasonography – Endoscopy – Thermography – Different types of biotelemetry \\nsystems and patient monitoring – Electrical safety. [07H] \\nAssisting And Therapeutic Equipments: Pacemakers – Defibrillators – Ventilators – Nerve and muscle \\nstimulators – Diathermy – Heart – Lung machine – Audio meters – Dializers. [07H] \\nText/Reference books: \\n1. Leslie Cromwell, Fred J.Weibell, Erich A.Pfeiffer, ‘Bio-Medical Instrumentation and Measurements’, II \\nEdition, Pearson Education, 2002 / PHI. \\n2. R.S.Khandpur, ‘Handbook of Bio-Medical instrumentation’, Tata McGraw Hill Publishing Co Ltd., 2003 \\n3. M.Arumugam, ‘Bio-Medical Instrumentation’, Anuradha Agencies, 2003. \\n4. L.A. Geddes and L.E.Baker, ‘Principles of Applied Bio-Medical Instrumentation’, John Wiley & Sons, \\n1975. \\n5. J.Webster, ‘Medical Instrumentation’, John Wiley & Sons, 1995. \\n6. C.Rajarao and S.K. Guha, ‘Principles of Medical Electronics and Bio-medical Instrumentation’, \\nUniversities press (India) Ltd, Orient Longman ltd, 2000. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 63}, page_content='Subject Code: OE3D06 Course Title Indian Philosophy and Literature in \\nContact Hours L-3, T-0, L-0 English \\nProgramme B.Tech/B.Des Credit 3 \\nPre-requisites NIL Semester VI \\nEvaluation scheme Quiz I (10%), Mid term (30%), Quiz II (10%), End term (50%) \\nCourse Detail : \\nIndian Writing in English \\n1. Rabindranath Tagore [03H] \\n - Gitanjali (song no. 1-7, 13, 18,57) \\n2. Dr. S. Radhakrishnan- [07H] \\n- The Hindu View of Life. (1 chapter) - An Idealist View of Life. (selected readings- 1 chapter) \\n3. Mahatma Gandhi- [03H] \\n- The story of my Experiments with truth. (selected readings- 2 chapters) \\n 4. Swami Vivekananda- [05H] \\n- Microcosm - Macrocosm \\n5. Kabir – [04H] \\n- Some songs \\nAmerican Literature \\n1. Ralph Waldo Emerson- [08H] \\n- The America Scholar - Self Reliance \\n2. Henry David Thoreau- [08H] \\n- Christianity and Hinduism compared - Resistance to Civil Government \\n3. Some Poems- [02H] \\n- Ralph Waldo Emerson i. Brahma ii. Hamatreya \\n4. Henry David Thoreau [02H] \\n- Walden (book –some readings) \\nText/Reference books: \\n1. Basham, A.L. The Wonder that was India, New Delhi: Rupa and Co., 1997 \\n2. Buell, Lawrence, The American Transcendentalists Essential Writings, New York: Random House, 2006. \\n3. Gopal, Sarvepalli, Radhakrishnan: A Biography, New Delhi: Oxford University Press, 2003. \\n4. Iyengar, Srinivas K.R., Indian Writing in English, New Delhi: Sterling Publishers, 2002. \\n5. Mcdermott, Robert A., Basic Writings of S. Radhakrishnan, Mumbai:Jaico Publishing House, 2002. \\n6. Mumukshananda, Swami, The Complete works of Swami Vivekananada, Calcutta: Swami \\nMumukshananda, 1994. \\n7. Narayan, Shriman, The Selected works of Mahatma Gandhi, Ahmedabad: Navjivan Trust, 1997. \\n8. Radhakrishnan, S., An Idealist View of Life, New Delhi: Indus Publishers, 1994. \\n9. Radhakrishnan, S., The Hindu View of Life, Mumbai: Blackie and Son Publishers, 1983. \\n10. Tagore, Rabindranath, Gitanjali, New Delhi: Macmillan India Limited, 1997. \\n \\n \\nSubject Code: OE3D21 Course Title: Communication Design \\nContact Hours: L-2, T-0, P-2 Credit: 3 \\nProgramme : B.Tech/B.Des Semester : VI \\nPre-requisites: NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nCourse Detail- \\nCommunication design application in furniture design. [07H Lecture,+3H Lab] \\nCommunication design application in interior and space design. [07H Lecture,+3H Lab] \\nCommunication design application in transportation design. [07H Lecture,+3H Lab] \\nCommunication design application in display and control design. [07H Lecture,+3H Lab] \\nText/Reference books: \\n1. Williams, R., & Newton, J. (2009). Visual communication: integrating media, art, and science. \\nRoutledge. \\n2. Worth, S., & Gross, L. P. (1981). Studying visual communication (pp. 134-147). L. P. Gross (Ed.) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 64}, page_content=' Philadelphia: University of Pennsylvania Press \\n3. Baldwin, J., & Roberts, L. (2006). Visual communication: from theory to practice. Ava Publishing. \\n \\n \\n \\n \\n \\n \\nSubject Code: OE3M10 Course Title Finite Element Methods for \\nContact Hours L-3, T-0, L-0 Mechanical Engineering \\nProgramme B.Tech/B.Des Credit 3 \\nPre-requisites NIL Semester VI \\nEvaluation scheme Quiz (10%), Project (20%) Mid-Sem(30%) and End-sem(40%) \\nLearning Objective: Basic course of finite element methods and understanding the FE software (ANSYS & \\nAbaqus) \\nCourse Detail : \\nModule1: \\nObjective of the Course, Basic Steps in FEM Formulation, Finite element formulation starting for governing \\nequation: Weighted residual Method, Galerkin Method, Weak (Variation), Ritz Method. [10H] \\nModule2: \\n1-D Elements, Spring and Truss elements, Basis Functions and Shape Functions. Convergence Criteria, \\nassembly, imposition of boundary conditions. [10H] \\nModule3: Plane Strain and Stress, Problems with CI continuity: Beam Bending, Connectivity and Assembly \\nof CI Continuity Elements. 2-D elements, Truss elements, Beam elements, (Triangles and Quadrilaterals) \\nand Shape Functions. Numerical integration, Sub-parametric, Iso-parametric and Super-parametric \\nElements. [10H] \\nModule4: Dynamics of Finite element, Free Vibration Problems, Formulation and solution of Eigen Value \\nProblem, explicit and implicit methods. [10H] \\nText/Reference books: \\n1. O C Zienkiewicz and R L Taylor, The Finite Element Method, 3d ed.McGraw-Hill, 1989 \\n2. K J Bathe, Finite Element Procedures in Engineering Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1982. \\n3. Seshu P. Text Book of Finite Element Analysis, PHI, 1st Edition, 2003. \\n4. Cook, Malkus and Plesha, Concepts and Applications of Finite Element Analysis, John Wiley and Sons \\n5. Daryl L Logan : A First Course In The Finite Element Method CL Engineering; 5th edition \\n6. Chandrupatla : Introduction to Finite Elements in Engineering”,3rd Edition, Prentice-Hall of India, \\nEastern Economy Editions. \\n \\nSubject Code: ME8016 Course Title Biomaterials Science and \\nContact Hours L-3, T-0, L-0 Engineering \\nProgramme B.Tech/B.Des Credit 3 \\nPre-requisites NIL Semester VI \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nCourse Detail : \\nIntroduction: Requirements of biomaterials, Classification of biomaterials, Mechanical properties of \\nbiomaterials, Effects of processing on properties of biomaterials [05H] \\nBiological Materials: St ructure of proteins, collagen, elastic proteins, polysaccharides, chitin and \\nchitosan, structure properties relationships [06H] \\nMetallic Implant Materials: Some common examples and properties of metals used as implants: stainless \\nsteel, titanium and titanium alloy, cobalt chrome alloys. Problem of corrosion, corrosion behavior and \\nthe importance of passive films for tissue adhesion, wear, fatigue, stress shielding , stress -corrosion \\ncracking. Host tissue reaction with metals. [06H] \\nPolymeric Implant Materials: Some common examples and properties of polymers used as implant s: PE, '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 65}, page_content='PMMA, Silicon Rubber, Polyester, Acetals, Biodegradable Polymers. (Classification according to \\nthermosets, thermoplastics and elastomers). Viscoelastic behavior: Tg, creep -recovery, stress relaxation, \\nstrain-rate sensitivity. Host tissue reaction: i mportance of molecular structure, hydrophilic and \\nhydrophobic surface properties, migration of additives (processing aids), aging and environmental stress \\ncracking. [06H] \\nCeramics Implant Materials: Definition of bioceramics. Common types of bioceramics (inert and \\nbioactive types) and their properties (importance of wear resistance and low fracture toughness). Host \\ntissue reactions: importance of interfacial tissue reaction (e.g. ceramic/bone tissue reaction). [06H] \\nComposite Implant Materials: Mechanics of improvement of properties by incorporating different \\nelements. Composites theory of fiber reinf orcement (short and long fibers, fibers pull out). Polymers \\nfilled with osteogenic fillers (e.g hydroxyapatite). Textile composites. Host tissue reactions. [06H] \\nTesting of Biomaterials: In -vitro testing. Mechanical test: wear, fatigue, tensi le, corrosion studies and \\nfracture toughness. Effect of physiological fluid on the properties of biomaterials. In -vivo testing \\n(animals). Ex-vivo testing. Contact allergy to biomaterials. Standards. [05H] \\nText books: \\n1. Biomaterials Science-Ratner, Hoffman, Schoen, Lemons (Elsevier; ISBN 0-12-582461) \\n2. Biomaterials -Temenoff and Mikos (Pearson Prentice Hall; ISBN 0-13-009710-1) \\n3. Materials Science and Engineering: An Introduction -Callister (John Wiley and Sons; ISBN 0-471-\\n13576-3) \\n4. Science and Engineering of Materials -Askland and Phule (Thomson; ISBN 0-534-55396-6 \\nReference books: \\n1. SH Teoh (Ed), Engineering Materials for Biomedical Applications, World Scientific, 2004. \\n2. JB Park and RS Lakes (Eds), Biomaterials - An Introduction, Springer-Verlag, 3rd Edition, 2007. \\n3. BD Ratner, AS Hoffman, FJ Schoen, JE Lemons (Eds), Biomaterials Science: An Introduction to Materials \\nin Medicine, Academic Press, 2nd Edition, 2004 \\n \\nOE06 (Choose any one course from below electives) \\n \\nCourse Code CS8011 Course Title Machine Learning \\nContact Hours L-3,T-0,P-0 Credit 3 \\nProgram B.Tech/B.Des Semester VI \\nPre-requisites None \\nEvaluation Scheme Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : In this course students will learn to train the machine using different machine \\nalgorithms to solve the real-world prediction problems. \\nCourse Details: \\n \\n \\nModule 1: Learning Problem, Designing a Learning System, Types of Learning. Supervise Learning: Linear \\nand Logistic regression, Decision Tree Learning. [10H] \\nModule 2: Instance-Based Learning, kNN and CBR, Bayesian Learning, Naive Bayes Classifier, Artificial \\nNeural Network (ANN), SVM. [10H] \\nModule 3: Unsupervised Learning: Mixture Models and EM, Clustering, K -Means, DBSCAN, Hierarchical \\nclustering, Association Rule Mining, Dimensionality Reduction. [10H] \\nModule 4: Performance Evaluation, Confusion Metrics, Evaluating Hypotheses, Confidence Interval, \\nHypothesis Testing Ensemble Learning Bagging and Boosting Formula ting. Computational Learning \\nTheory, Issues and practical advice in Machine Learning. [10H] \\nText/ Reference books: \\n5. Tom Mitchell. Machine Learning, McGraw Hill, 1997. \\n6. Chris Bishop, Pattern Recognition and Machine Learning, Springer, 2007. \\n7. Stephen Marsland, Machine Learning an Algorithmic Perspective, Chapman and Hall/CRC, 2014. \\n8. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Foundations of Machine Learning (Adaptive \\nComputation and Machine Learning Series), MIT, 2012. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 66}, page_content=' \\nSubject Code: OE3C34 Course Title Cyber Physical Systems \\nContact Hours L-3, T-0, L-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Quiz I (20%), Mid-Term (20%),End term (40%), Project (20%) \\nObjective: \\nThis course is designed to offer learners an introduction to cyber physical system and its applications in \\nbusiness world. This course provides an insight into concepts of structure, function, and challenges in \\ncyber physical system. Related technologies and challenges are also introduced to present the overall \\ntechno-economic and social scenario before the learners. \\nCourse Detail : \\nUnit 1:Introduction to CPS and CPPS [06H] \\nIntroduction, Concept maps of cyber physical system and cyber physical production system, literature \\nsurvey and trends, Need for cyber physical systems, Applications and economics of cyber physical system \\nUnit 2: Structure and function cyber physical production system (CPPS) [10H] \\nConcept of embedded computer systems, internet of things, industrial internet of things, internet of \\nservices, ubiquitous computing, sensors and actuators, RFID, IPv4 and IPv6, International standards and \\nsafety considerations \\nUnit 3: Introduction to Industry 4.0 (IR 4.0) [08H] \\nVarious industrial revolutions, digitalization and networked economy, enablers and challengers to IR 4.0, \\nsmart manufacturing, smart logistics, smart cities, comparison of present factory with IR 4.0 factory, trends \\nand predictive analysis for business transformation \\nUnit 4: Related technologies to IR 4.0 [06H] \\nRobotic automation; collaborative robotics; support system for IR 4.0; mobile co mputing; cyber security; \\nrole of data, information, knowledge and collaboration in IR 4.0 factories, cloud computing \\nUnit 5: Business issues in CPS and Case studies [10H] \\nOpportunities and challenges, future of work and skill amongst workers, strategies for competition, \\nstrategies for collaboration, business models for CPS Study of various CPS modules in different real -life \\nindustrial situations, Design and synth esis of CPS, Troubleshooting in CPS, Application in smart grid, \\nautonomous automobile, medical monitoring, industrial control and robotic systems \\nText/Reference books: \\n1. Editor(s): Houbing Song, Danda B. Rawat, Sabina Jeschke, Christian Brecher,Cyber-Physical Systems: \\nFoundations, Principles and Applications, Academic Press (2017) \\n2. Raj Rajkumar and Dionisio De Niz ;Cyber-Physical Systems 1st Edition, Pearson India (2017) \\n3. Y. Maleh ;Cybersecurity And Privacy In Cyber PhysicalSystems, Taylor & Francis Ltd; (2019) \\n4. Li ;Reinforcement Learning for Cyber-Physical Systems; Routledge; (2019) \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nSubject Code OE3E15 Course Title: Information Theory and Coding \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-Requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 67}, page_content='Course Detail: \\nModule 1 \\nReview of probability theory, Entropy: marginal entropy, joint entropy, conditional entropy and the chain \\nrule for entropy. Mutual information between ensembles of random variables. [06H] \\nModule 2 \\nSource Coding theorems: prefix, variable and fixed length codes. Channel models and channel capacity. \\nChannel Coding theorem. [09H] \\nModule 3 \\nLinear Block Codes: Generator and parity check matrices, Minimum Distance, Syndrome decoding, \\nBounds on minimum distance. [09H] \\nModule 4 \\nCyclic Code: Finite Fields, binary BCH codes, RS Codes. Convolutional Codes: Encoders, Trellis, Viterbi \\ndecoding. [18H] \\nText Books: \\n1. Thomas M. Grover and Joy A. Thomas, “Elements of Information Theory,” Wiley. \\n2. John G. Proakis and Masoud Salehi, “Digital Communications,” 5th edition, McGraw Hill. \\nReference books: \\n1. Csisz´ar & K¨orner, “Information Theory: Coding Theorems for Discrete Memoryless Systems”, \\nCambridge university press, 2011. \\n \\n \\nSubject Code: OE3E35 Course Title Speech Processing \\nContact Hours L-3, T-0, L-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Midterm (35%), End term (45%), Project (20%) \\nLearning Objective: This course will provide learners with an understanding of speech processing \\nCourse Detail : \\nModule I: \\nApplications, pattern recognition, feature extraction, modeling, testing; Speech recognition: Objective, \\nissues, block diagram description, classification, development of speech recognition system using vector \\nquantization (VQ), dynamic time warping (DTW), Hidden Markov Model (HMM) and Neural networks \\n(NN); [10H] \\nModule II: \\nSpeech synthesis: Objective, issues, block diagram description, classification, development of speech \\nsynthesis system using articulatory, parametric, concatenative and HMM based approaches. [10H] \\nModule III: \\nSpeaker recognition: Objective, issues, block diagram description, classification, development of \\nspeaker recognition system using VQ , DTW, GMM NN and HMM;\" [10H] \\nModule IV: \\n Speech enhancement: Objective, issues, block diagram description, classification, enhancement of noisy \\n speech, reverberant speech enhancement and multi -speaker speech processing.\" \\nText/Reference books: \\n1 . L. R. Rabiner, B. H. Jhuang and B. Yegnanarayana.\"Fundamental s of speech recognition\", Pearson \\nEducation, 2009. \\n\"2. J . R. Deller, Jr., J. H. L. Hansen and J. G. Proakis Discrete-Time Processing of Speech Signals, Wiley- IEEE \\nPress, NY, USA, 1999.\" \\n\"Reference books: \\n1. D. O\\'Shaughnessy, Speech Communications: Human and Machine, Second Edition, University Press, \\n2005. \\n\"2. J . Benesty , M. M . Sondhi and Y. Huang , \\'\\'Hand book of speech processing )\\', Springer, 2008.\" '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 68}, page_content=' \\n \\nSubject Code: OE3D37 Course Title Application for Renewable Energy \\nContact Hours L-2, T-0, L-2 Resources in Design \\nProgramme B.Tech/B.Des Credit 3 \\nPre-requisites NIL Semester VI \\nEvaluation scheme Assignment I (15%), Midterm (30%), Assignment II (15%), End term (40%) \\nLearning Objective: The course will help to develop basic knowledge about Renewable Energy Resources \\nand its application in Design. It Will also help to develop the idea about methods and tools required for the \\nsustainable design. \\nCourse Detail : \\n Module 1 : Introduction to Energy sources, Prospects of renewable energy sources, Environmental \\n impact of renewable energy towards sustainability. Solar Energy: Solar radiation, Different types of Solar \\n Collectors, Principle of energy conversion in solar cells, Different ty pes of PV Cell, Design of PV array, \\n Application of Solar Energy. [7H Lecture+3H Lab] \\n Module 2 : Wind Energy: Principle of Wind energy conversion; Basic components, various types of \\n windmills and their constructional features; design considerations, site selection considerations and \\n applications. Bio Energy : Resources and conversion process, Biogas generation plants classification and \\n applications. [7H Lecture+3H Lab] \\n Module 3 : Geo thermal Energy: nature of geothermal energy, geothermal sources, application and \\n future prospects. Ocean Energy: Ocean Thermal Electric Conversion (OTEC) systems, Energy from tides, \\n basic principle of tidal power and application, power from wave, wave energy conversion \\n devices, application and future prospect. [7H Lecture+3H Lab] \\nModule 4 : Hydrogen Energy: Hydrogen production methods, Hydrogen storage, hydrogen \\ntransportation, utilization of hydrogen energy. Fuel Cells: Design principle and operation of fuel cell, \\nTypes of fuel cells, application of fuel cells. Magneto hydrodynamics (MHD) e nergy conversion: Principle \\nof MHD power generation, Design problems and developments, application and future prospect. \\n [7H Lecture+3H Lab] \\nText/Reference books: \\n1. Rai, G.D. ( 1988). Non conventional Energy Sources. Khanna Publishers. \\n2. Bansal, N. K., Kleemann, Manfred, Meliss, Michael (1990). Renewable energy sources and \\n conversion technology. Tata Mc Graw Hill. \\n3. Desai Ashok V. 1990 Non conventional Energy. New Age International Publishers Ltd. \\n \\nSubject Code: OE3D39 Course Title The scope in Traditional Media Arts \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Tech/ B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Assignment I (15%), Midterm (30%), Assignment II (15%), End term (40%) \\nTo prepare students to perceive, experience, visualize, create and exhibit their works and to use \\nthese skills in the main core esteem. \\nThis course will be helpful in developing: \\n• drawing, painting and installation skills. \\n• conceiving and conceptualizing ideas into actual work of art/design. \\n• through their artwork sensitivity towards social and regional issues. \\n• presentation skills, the ability to work in groups and handle responsibilities. \\nDetailed Course Content: \\nModule 1 : Understanding art Indian and western art [10H] \\nModule 2 : Techniques applied in still life: sketching, water and oil colours [10H] \\nModule 3 : Evaluation and skills in Landscape drawing and painting: outdoor practice rapid sketching \\nand painting. [10H] \\nModule 4 : Printmaking using different surfaces [10H] '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 69}, page_content=\"Text/Reference books: \\n1. Drawing Still Life, Publisher: Unicorn Books (l January 2009) by PROSENJIT SAHA (Author ARUNDHATI \\nSAHA (Author) \\n2. A History of Fine Arts in India and West, Publisher: Orient BlackSwan ( 1989) by E. Tomory (Author) \\n3. A World History of Art, Publisher: Laurence King Publishing; 7th Revised edition edition ( 10 August \\n2009) by High Honour (Author), John Fleming (Author) \\n \\n \\n \\nSubject Code: OE3M18 Course Title Maintenance and Reliability \\nContact Hours L-3, T-0, L-0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nLearning Objective: This course will introduce the basic maintenance and reliability concepts and \\ntools. It will give an understanding about how to apply these concepts and tools at different phases of \\nsystems' life cycle and can have a significant impact on company profitability. \\nCourse Detail : \\nModule1: Maintenance Concepts and Strategies: Introduction, maintenance functions and objectives, \\nmaintenance planning and scheduling, maintenance organization. General Introduction to Maintenance \\nTypes: Breakdown, emergency, corrective, predictive, and preventive; maintenance prevention; design-out \\nmaintenance, productive maintenance, shutdown maintenance and scheduled maintenance. [08H] \\nModule2: Condition Based Maintenance: Principles of CBM, pillars of condition monitoring, CBM \\nimplementation and benefits; condition monitoring techniques- visual monitoring, vibration monitoring, \\nwear debris monitoring, corrosion monitoring, performance monitoring [08H] \\nModule3: Basic Concepts of Reliability: Probability distributions used in maintenance engineering- \\nBinomial, Poisson, Exponential, Normal, Log-normal, Gamma and Weibull distribution; failure rate, hazard \\nrate, failure modes, MTTR, MTBF, MTTF [10H] \\nModule4: System Reliability Models: System reliability–n-component series systems, m-component \\nparallel systems and combined system; standby systems; K-out-of-m systems; redundancy techniques in \\nsystem design; event space, decomposition (Key Stone), cut and tie sets, Markov analysis, reliability and \\nquality, unreliability, maintainability, availability [10H] \\nModule 5: Repair methods for basic machine elements: beds, sideways, spindle gear, lead screws, Failure \\nanalysis, Logical and sequential fault location methods, Repair methods for material handling equipment: \\nhandling equipment, job order systems, use of computers in maintenance. [06H] \\nText/Reference books: \\n1. Ebeling C.E., An Introduction to Reliability & Maintainability Engg., TMH \\n2. Higgins L.R., “Maintenance Engineering Hand book”, McGraw Hill, 5th Edition, 1988. \\n3. Srinath L.S., Reliability Engineering; East West Press. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 70}, page_content=' \\nSubject Code: OE3M19 Course Title IC Engine \\nContact Hours L- 3, T- 0, P- 0 Credit 3 \\nProgramme B.Tech/B.Des Semester VI \\nPre-requisites NIL \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) \\nA. INTRODUCTION: [05H] \\n1. Basic definitions: \\n2. Brief history of the engine: \\n3. Definitions of various terms used in engines \\n4. Classification of engines - different types of engines: \\nB. THERMODYNAMICS OF CYCLES: [04H] \\n1. Air Standard Cycles \\n2. Variable Specific Heat Calculations \\n3. The Air Standard Engine \\n4. Fuel Air cycles \\n5. Real Cycles: \\n6. Computer Simulation \\nC. FUELS: [03H] \\n1. Properties of fuels and their measurement \\n2. Requirements of fuels for the petrol engine \\n3. Requirements of fuels for the diesel engine \\n4. Conventional fuels for the petrol and diesel engines \\n5. Alternative fuels for the petrol and diesel engines necessity for alternative fuels, \\nrequirements for alternative fuels. \\nD. INTAKE SYSTEM: [02H] \\n1. Intake and exhaust processes in a four-stroke cycle engine: \\n2. Volumetric efficiency \\nE. FUEL METERING IN A SPARK IGNITION ENGINE: [02H] \\n1. Mixture requirements in an si engine \\n2. Principle of carburetion \\n3. Fuel injection in a spark ignition (petrol) engine, mpfi \\nF. COMBUSTION IN THE SPARK. IGNITION ENGINE: [02H] \\n1. Basic combustion process \\n2. Analysis of cylinder pressure data \\n3. Ignition \\n4. Abnormal combustion \\n5. In cylinder motion \\nG. COMBUSTION IN THE COMPRESSION IGNITION ENGINE: [04H] \\n1. Basic combustion process \\n2. Analysis of cylinder pressure data \\n3. Fuel injection \\n4. Incylinder motion \\n5. CRDI \\nH. Misc: Hybrid powertrain architecture, Features like engine auto start/stop, ECU: [02H] \\nI. ENGINE EMISSIONS - FORMATION AND CONTROL: [04H] \\n1. Nature and sources of engine emissions. \\n2. Mechanism of pollutant formation in engines. \\n3. Emission control strategies. \\n4. Instruments for measuring exhaust emissions. \\n5. Emission system: muffuler and catelytic converter. \\n6. Introduction to Bharat stage emission standards, co emission and carbon credit \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 71}, page_content=' J. ENGINE TESTING AND PERFORMANCE CHARACTERISTICS: [05H] \\n1. Measurement techniques. \\n2. Performance factors and ratings. \\n3. Types of performance tests. \\n4. Performance characteristics of si engines \\n5. Performance characteristics of ci engines. \\n6. Heat balance. \\nK. COOLING SYSTEMS: [03H] \\nNeed Variation of gas temperature. Piston tempe rature distribution. Theory of engine heat \\ntransfer and correlation. Parameters affecting engine heat transfer. Air -cooled systems. Types \\nof water - cooling systems. Radiators, Fans, Correlation for the power required for engine \\ncooling. \\nL. LUBRICATION SYSTEMS: [03H] \\nCauses of engine friction. Function of lubrication. Mechanism of lubrication. Journal bearing \\nlubrication. Types of lubrication systems. Lubrication of engine components. \\nM. SUPERCHARGING AND TURBOCHARGING: [03H] \\nN. Supercharger, Supercharging methods for SI engines, Turbocharging In CI \\nengines, Supercharged Engine performance evaluation. \\nText/Reference books: \\n1. Ganesan, V. Internal Combustion Engines, Second Edition, Tata McGraw Hill Publishing \\nCompany Limited, New Delhi. \\n2. Mathur, R.P. And Sharma, M.L. A Course In Internal Combustion engines, 8thedition, \\nDhanpatrai and Sons, New Delhi. \\n3. Fundamentals Of I.C. Engines - P.W. Gill, J.H. Smith And EJ. Ziurys. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 72}, page_content=' \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 73}, page_content=' \\nB.Tech/B.Des Semester-VII \\n \\nOE07 (Choose any one course from below electives) \\n \\nSubject Code: EC8001 Course Title Advance Engineering \\nContact Hours L-3, T-0, P-0 Electromagnetics \\nProgramme B.Tech Credit 3 \\nPre-requisites Fundamental of electromagntics \\nand Engineering mathematics. \\nSemester VII \\nEvaluation scheme \\nTime harmonic electromagnetic fields, Wave propagation in dielectric and lossy media, Reflection and \\ntransmission of waves, Duality principle, Image theory, Equivalence principle, Reciprocity theorem, Green’s \\nfunction, Radiation from source. [12L] \\nPlane waves, Wave functions, Propagation in waveguides, Rectangular Cavity, Partially filled waveguides, \\n Hybrid modes, Modal expansion of fields, Dielectric slab waveguides, Radiation from apertures in ground \\nplanes. [10L] \\nCylindrical waves, Bessel and Henkel functions, Cylindrical waveguides and cavity, Radial waveguides, \\nSources of Cylindrical waves, Wave transformation, Scattering by cylinders, Radiation from apertures. [10L] \\nSpherical waves, Spherical Bessel and Henkel functions, Legendre polynomial, Spherical cavity, Space as a \\nwaveguide, Spherical Radial waveguides, Sources of spherical waves, Spherical wave transformation, \\nScattering by spheres. [10L] \\nText/Reference books: \\n1. Time Harmonic Electromagnetic Fields by Roger F Harrington, IEEE Press \\n2. Advanced Engineering Electromagnetics by Constantine A. Balanis, Wiley, February 2012. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 74}, page_content=' \\n \\nSubject Code: ME5022 Course Title Industrial Instrumentation \\nContact Hours L-3, T-0, P-0 & Metrology \\nProgramme B.Tech Credit 3 \\nPre-requisites NIL Semester VII \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) \\nIndustrial Instrumentation: Theory and Experimentation in Engineering problem solving approaches, types \\nof engineering experiments, computer simulation and physical experimentation: Generalized measuring \\nsystem, types of inputs analog and digital signals, standards, calibration and uncertainly. [08H] \\nMeasurement system; performance characteristic, static performance characteristics -static calibration \\nlinearity static sensitivity, repeatability, hysteresis threshold -resolution, readability and span: Analysis of \\nexperimental data; Causes and types of experimental error, un-certainly analysis statistical analysis of data , \\nprobability distributions and curve fitting: Dynamic performance characteristics: Input types Instrument \\ntypes zero order instrument, first order instrument second order instrument. [09H] \\nExperiment plans, Model building, Measurement Methods and Application Measurement of force and \\ntorque; Measurement of strain and stress; Measurements ofpress ure; Flow measurement and flow \\nvisualization, measurement of temperature, optical methods of measurements; [09H] \\nData Acquisition and Processing : Types and configurations of DAS, Signal conditioning, A/D, D/A \\nconversion: Design, Planning, Execution and Analysis of experimental projects. [06H] \\nMetrology: Measurement of length, measurement of angle, measurement of geometric forms, \\nstraightness, flatness, roundness etc. Mechanical and optical methods. Measurement of screw threads and \\ngears. Measurement of surface roughness and texture, introduction to CMM in -process gages, Inspection \\nand quality monitoring. [10H] \\nText/Reference books: \\n1. Mechanical Measurements by S.P. Venketeshan, IIT Madras Anne Book Pvt. Ltd. 4821 Parwana \\nBhawan, 1st floor 24 Ansari Road, Darya ganj, New Delhi-110 002. \\n2. Engineering Metrology by R. K. Jain, Khanna Publishers, and New Delhi 1997. \\n3. E.O. Deobelin, Measurement systems, Applications and Design 4th Edition Tata McGraw Hill 1990. \\n4. T.G. Beckwith, R.D. Marangoni and J.H. Tenhard Mechanical Measurements 5th ed. Addison Wesley \\n1993. \\n5. Holman, Experimental Methods for Engineers McGraw Hill 1994. \\n \\nSubject Code: OE4M40 Course Title Computer Integrated \\nContact Hours L- 3 T- 0 P- 0 Manufacturing \\nProgramme B.Tech Credit 3 \\nPre-requisites NIL Semester VII \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) \\nCourse Detail: \\nIntroduction: Production Systems; Automation in Production Systems; Manual Labor in Production \\nSystems; Automation Principles and Strategies [03H] \\nManufacturing Operations: Manufacturing Industries and Products; Manufacturing Operations; Production \\nFacilities; Product/Production Relationships; Lean Production [03H] \\nManufacturing Models and Metrics: Mathematical Models of Production Performance; Manufacturing \\nCosts [03H] \\nMaterial Transport Systems: Introduction to Material Handling Equipment; Material Transport Equipment; \\nAnalysis of Material Transport Systems [03H] \\nStorage Systems: Storage System Performance and Location Strategies; Conventional Storage Methods \\nand Equipment; Automated Storage Systems; Engineering Analysis of Storage Systems. [03H] \\nIntroduction to Manufacturing Systems: Components of a Manufacturing System; Classification of \\nManufacturing Systems; Overview of the Classification Scheme [03H] \\nSingle-Station Manufacturing Cells: Single Station Manned Workstations; Single Station Automated Cells; '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 75}, page_content='Applications of Single Station Cells; Analysis of Single Station Cells [03H] \\nManual Assembly Lines: Fundamentals of Manual Assembly Lines; Analysis of Single Model Assembly \\nLines; Line Balancing Algorithms; Mixed Model Assembly Lines; [03H] \\nWorkstation Considerations; Other Considerations in Assembly Line Design; Alternative Assembly Systems \\n [03H] \\nAutomated Production Lines: Fundamentals of Automated Production Lines; Applications of Automated \\nProduction Lines; Analysis of Transfer Lines. [02H] \\nAutomated Assembly Systems: Fundamentals of Automated Assembly Systems; Quantitative Analysis of \\nAssembly Systems. [02H] \\nCellular Manufacturing: Part Families; Parts Classification and Coding; Production Flow Analysis; Cellular \\nManufacturing; Applications of Group Technology; Quantitative Analysis in Cellular Manufacturing. [03H] \\nFlexible Manufacturing Systems: What is a Flexible Manufacturing Systems; FMS Components; FMS \\nApplications and Benefits; FMS Planning and Implementation Issues; Quantitative Analysis of Flexible \\nManufacturing Systems. [03H] \\nQuality Programs for Manufacturing: Quality in Design and Manufacturing; Traditional and Modern Quality \\nControl; Process Variability and Process Capability; Statistical Process Control; Six Sigma; The Six Sigma \\nDMAIC Procedure; Taguchi Methods in Quality Engineering; ISO 9000. [03H] \\nInspection Principles and Practices: Inspection Fundamentals; Sampling vs. 100% Inspection; Automated \\nInspection; When and Where to Inspect; Quantitative Analysis of Inspection [02H] \\nText/Reference books: \\n1. Computer Integrated Manufacturing by by James A. Rehg (Author), Henry W. Kraebber(Author) \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 76}, page_content=' \\nOE08 (Choose any one course from below electives) \\n \\nSubject Code: OE4M23 Course Title Business Analytics Using R \\nContact Hours L-2, T-0, P-2 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme \\n Learning Objective: The course is designed to provide in -depth knowledge of handling data and Business \\nAnalytics’ tools that can be used for fact-based decision-making using real case studies. \\n Primary objectives of the course are: \\n1. Understand the emergence of business analytics as a competitive strategy. \\n2. Learn to analyze data using statistical learning and machine learning algorithms to enable data driven \\ndecision making. \\n3. Learn data visualization and storytelling through data. \\n4. Learn descriptive, predictive and prescriptive analytics techniques and tools. \\n5. Learn to analyze data using supervised and unsupervised machine learning algorithms. \\n6. Analyse problems from different sectors like manufacturing, service, banking and finance, sports, \\npharmaceutical, and aerospace etc. \\n7. Hands on experience with software/packages such as Microsoft Excel, R, Python. \\nCourse Detail: \\nModule 1: Predictive Analytics using Supervised Learning Algorithms - Simple linear regression: \\ncoefficient of determination, significance tests, residual analysis, confidence and prediction intervals; \\nMultiple linear regression: coefficient of multiple coefficient of determination, interpretation of \\nregression coefficients, categorical variables, heterosceda sticity, multicollinearity, outliers, auto -\\nregression and transformation of variables. Logistic and Multinomial Regression. [07H] \\nModule 2: Classification and Regression Trees (CART): Forecasting: Moving average, exponenti al \\nsmoothing, Trend, cyclical and seasonality components, ARIMA (autoregressive integrated moving \\naverage); Application of predictive analytics in retail, direct marketing, health care, financial services, \\ninsurance, supply chain etc. [07H] \\nModule 3: Ensemble Methods: Introduction to ensemble methods, random forest and boosting \\nalgorithms; Reinforcement Learning Algorithms: Markov chain and Markov Decision Process. [07H] \\nModule 4: Prescriptive Analytics: Introduction to Ope rations Research (OR), linear programming (LP), \\nformulating decision problems using linear programming. Applications of linear programming in product \\nmix, blending, cutting stock, transportation, transshipment, assignment, scheduling, planning and \\nrevenue management problems; Integer Programming (IP) problems, mixed -integer and zero -one \\nprogramming. Applications of IP in capital budgeting and set covering. [07H] \\nFollowing case studies will be discussed: \\n1. Predicting Bank-Loan Defaults with Logistic Regression Model \\n2. Sales Forecasting for Gen Retailers with Seasonal ARIMA (SARIMA) Model \\n3. Predicting Customer Churn with Decision Tree Model \\n4. Predicting Probability of Malignant and Benign Breast Cancer with Random Forest Model \\n5. Predicting Flight Delays with Multiple Linear Regression Model \\n6. Customer Segmentation with RFM Model and K-means Clustering \\nText/Reference books: \\n1. Business Anal ytics: The Science of Data -Driven Decision Making by U Dinesh Kumar, Wiley \\nPublication, ISBN: 9788126568772 \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 77}, page_content=' \\nCourse Code OE4C24 Course Title Artificial Intelligence \\nContact Hours L-2,T-0,P-2 Credit 3 \\nProgram B.Tech Semester VII \\nPre-requisites None \\nEvaluation Scheme Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will understand the principles and development of artificial \\nintelligence. They will also learn its many applications in different areas. \\nCourse Details: \\n \\n \\nModule 1: Overview: foundations, scope, problems, and approaches of AI, Intelligent agents: reactive, \\ndeliberative, goal -driven, utility -driven, and learning agents, Artificial Intelligence programming \\ntechniques. Problem -solving through Search: forward and backward, state -space, blind, heuristic, \\nproblem-reduction, A, A*, AO*, minimax, constraint propagation, neural, stochastic, and evolutionary \\nsearch algorithms, sample applications. [10H] \\nModule 2: Knowledge Representation and Reasoning: ontologies, foundations of knowledge \\nrepresentation and reasoning, representing and reasoning about objects, relations, events, actions, time, \\nand space; predicate logic, situation calculus, description logics, reasoning with defaults, reasoning about \\nknowledge, sample applications. Planning: planning as search, partial order planning, construction and \\nuse of planning graph. [10H] \\nModule 3: Representing and Reasoning with Unc ertain Knowledge: probability, connection to logic, \\nindependence, Bayes rule, bayesian networks, probabilistic inference, sample applications, Decision -\\nMaking: basics of utility theory, decision theory, sequential decision problems, elementary game theory, \\nsample applications. [10H] \\nModule 4: Machine Learning and Knowledge Acquisition: learning from memorization, exam ples, \\nexplanation, and exploration, learning nearest neighbour, naive Bayes, and decision tree classifiers, Q -\\nlearning for learning action policies, applications, Sample Applications of AI. [10H] \\nText/Reference books: \\n1. N. J. Nilsson, Artificial Intelligence-A Modern Synthesis. Palo Alto: Morgan Kaufmann, 1998. \\n2. N. J. Nilsson, Principles of Artificial Intelligence. Palo Alto, CA: Tioga, 1981. \\n3. E. Rich, K. Knight, Artificial Intelligence, New York: McGraw Hill, 1991. \\n4. S.S.V Chandra, S. A. Hareendran, Artificial Intelligence and Machine Learning, PHI, 2014. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 78}, page_content=\" \\nSubject Code: OE4E25 Course Title Advance Antenna Theory \\nDesign \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nTheory of electromagnetic radiation: Coordinate system and transformation of field quantities in \\ndifferent coordinate system; Basic concept and definition: Directive gain, side lobe, back lobe, \\npolarization, co -polarization and cross polarization level, beam width, input impedance, bandwidth , \\nefficiency. [08H] \\nVarious kind of antenna with applications: Formulation of radiation integrals and its ap plication to \\nanalysis of wire, loop and helix type antenna; Theory of aperture antenna, including the Fourier \\ntransform method and application to slot, waveguide and horn antenna; Design consideration of \\nparabolic reflector antenna. [08H] \\nMicrostrip and Planar antennas: Rectangular and circular patch; Feed to microstrip antenna: probe feed, \\nmicrostrip line feed, aperture feed, electromagnetically fed microstrip patch; Circularly polarized \\nmicrostrip antenna. Dielectric Resonator Anten nas: Degrees of Freedom, Rectangular, Cylindrical and \\nhemispherical DRAs, empirical formulas for calculation of resonant frequencies [10H] \\nTheory of linear and phased array: Two element and multi element array, isotropic and nonisotropic \\narray, Binomial and Chebyshev distribution; Planar array, phased array and adaptive antenna; Feed \\nnetwork of microstrip antenna array; Antenna for mobile communication: handset antenna and ba se \\nstation antenna. [10H] \\nModern topics on modern antenna: Planar Inverted F Antenna (PIFA), Circularly polarized Antennas and \\nsize miniaturization techniques. [05H] \\nText/Reference books: \\n1. Antenna Theory, Analysis and Design, by C.A. Balanis, Wiley \\n2. Antenna and Wave propagation, J D Kraus, TMH. \\n3. Antenna and Wave propagation, A. R. Harish and M. Sachidananda, Oxford University Press,2007 \\n4. Research papers from IEEE Antenna and Propagation Society. \\n \\nSubject Code: OE4E26 Course Title Physics of Semiconductor \\nDevices \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nIntroduction to Quantum Mechanics Principle of Quantum Mechanics, Schrodinger's wave equation, \\nApplication of Schrodinger's wave equation, extension of wave theory to atoms. Introduction to the \\nQuantum Theory of Solids. [05H] \\nElectrical conductions in solids, Drift cu rrent, Density of states function, Statistical mechanics. The \\nSemiconductor in Equilibrium, Charge carriers in semiconductor, Dopant atoms and energy levels, \\nExtrinsic semiconductor, Statistics of donors and acceptors, charge neutrality, position of Fermi level. \\n [05H] \\nCarrier Transport Phenomena, Carrier drift, carrier diffusion, H all effect, graded impurity distribution. \\nNon equilibrium excess carriers, Carrier generation and recombination, Characteristics of excess carriers, \\nAmbipolar transport, Quasi-Fermi energy level. [10H] \\n The p -n Junction: Basic structures of the PN jun ction, Zero bias condition, forward bias, reverse bias \\ncondition. The p-n Junction Diode current components I/V Characteristics, small signal model of p-n \\njunction, generation - recombination current, junction breakdown, charge storage and diode transient \\n [10H] \\nThe metal -semiconductor and semiconductor hetero -junctions, Schottky Barrier diode, Ohmic and \\nrectifying contacts, Hetreo junction materials, energy band diagram, two dimension electron gas, \\nequilibrium electrostat ics and I/V characteristics. Junction field effect transistor, basic concept, device \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 79}, page_content='characteristics MESFET, Non ideal effects, high electron mobility transistor quantum well structures.[06H] \\n Fundamentals of the Metal-Oxide-Semiconductor Field-Effect Transistor: Two terminal MOS \\nstructure,basic MOSFET operation, non ideal effects, MOSFET scaling, threshold voltage modification, \\nradiation and hot electron effects. [06H] \\nText/Reference books: \\n1. S.M. Sze Physics of Semiconductor Devices Wiley-Interscience \\n2. ‘Semiconductor physics and devices’ 5th edition Neaman Donald A. Mc Graw Hill \\n3. Physics of Semiconductor Devices Michael Shur, (Prentice Hall, 1990) \\n4. Physics of Semiconductor Devices, Massimo Rudan Springer Publication \\n \\n \\nSubject Code OE4M27 Course Title Computer Aided Manufacturing \\nContact Hours L-3, T-0, P-0 System \\nProgramme: B.Tech Credit 3 \\nPre-requisites: NIL Semester VII \\nEvaluation scheme Quiz: Mid-sem: Project: End-sem \\nObjective: To analyze different aspects of CAM, CNC programs, basics robotics, material handling system, \\nproduction management system and thus, create interdisciplinary thoughts \\nUnit 1: \\nComputer aided manufacturing [08H] \\nCAM concepts, objective sense scope, nature and type of manufacturing system, evolution, benefits of \\nCAM, role of management in CAM, concepts of computer integrated manufacturing ,impact of CIM on \\npersonal, role of manufacturing engineers, CIM basic functions \\nUnit 2: \\nNC/CNC machine tools [08H] \\nNC and CNC technology: types, classification, specification and components, construction details, \\ncontrollers, sensors and actuators, CNC hardware: circulating ballscrew, fiction slides,step/servomotors . \\nAxis designation, NC/CNC Tooling, fundamental programming, types of format, part programming, \\nprogramming for drilling,lathe and milling, canned cycles, parametric subroutines \\nUnit 3: \\nProgrammable logic controllers [06H] \\nRelay device components, programmable controller architecture, programming a programmable \\ncontrollers, tools for PLC logic design \\nUnit 4: \\nFlexible manufacturing system and automated guided vehicle system [08H] \\nTypes of flexibility, FMS components, FMS application and benefits, FMS planning and control, \\nquantitative analysis, simple problems. Automated guided vehicle system - Application, vehicle guidance \\ntechnology, vehicle management and safety \\nUnit 5: \\nIndustrial robotics [06H] \\nRobot anatomy and related attributes:classification of robots, robot control systems, end effectors, \\nsensors, accuracy and repeatability, Industrial robot application, robot part programming, simple \\nproblems \\nText or References: \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 80}, page_content=' \\nSubject Code: OE4M28 Course Title Finite Element Methods \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme Quiz (10%), Project (20%) Mid-Sem(30%) and End-sem(40%) \\nLearning Objective: Basic course of finite element methods and understanding the FE software (ANSYS & \\nAbaqus) \\nModule 1: \\nObjective of the Course, Basic Steps in FEM Formulation, Finite element formulation starting for governing \\nequation: Weighted residual Method, Galerkin Method, Weak (Variation), Ritz Method. [10H] \\nModule 2: \\n1-D Elements, Spring and Truss elements, Basis Functions and Shape Functions. Convergence Criteria, \\nassembly, imposition of boundary conditions. [10H] \\nModule 3: Plane Strain and Stress, Problems wi th CI continuity: Beam Bending, Connectivity and Assembly \\nof CI Continuity Elements. 2 -D elements, Truss elements, Beam elements, (Triangles and Quadrilaterals) \\nand Shape Functions. Numerical integration, Sub -parametric, Iso -parametric and Super-parametric \\nElements. [10H] \\nModule 4: Dynamics of Finite element, Free Vibration Problems, Formulation and solution of Eigen Value \\nProblem, explicit and implicit methods. [10H] \\nText/Reference books: \\n1. O C Zienkiewicz and R L Taylor, The Finite Element Method, 3d ed.McGraw-Hill, 1989 \\n2. K J Bathe, Finite Element Procedures in Engineering Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1982. \\n3. Seshu P. Text Book of Finite Element Analysis, PHI, 1st Edition, 2003. \\n4. Cook, Malkus and Plesha, Concepts and Applications of Finite Element Analysis, John Wiley and Sons \\n5. Daryl L Logan : A First Course In The Finite Element Method CL Engineering; 5th edition \\n6. Chandrupatla : Introduction to Finite Elements in Engineering”,3rd Edition, Prentice -Hall of India, \\nEastern Economy Editions. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 81}, page_content='OE09 (Choose any one course from below electives) \\n \\nSubject Code: OE4C31 Course Title Network Security & Cryptography \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme Project/Quiz I (30%), Mid term (30%), End term (40%) \\nCourse Introduction and terminology, Conventional Cryptography: Definitions, Classical encryption \\ntechniques, Finite fields, Perfect Secrecy DES, AES and other symmetric cryptography. [12H] \\nAsymmetric Cryptography: Number Theory, public key cryptography: RSA, ElGamal, and Elliptic Curve \\nCryptography, Key management. [10H] \\nAuthentication: Message authentications and hash functions, hash algorithms, Digital Signatu res and \\nAuthentication Protocols. [10H] \\nNetwork and System Security: a. Vulnerability, Monitoring/Sniffing, Spoofing \\nb. Firewalls, Intrusion Detection, c. PGP, Kerberos, d. IPSec, SSL [10H] \\nText/Reference books: \\n1. W Stallings, “Cryptography and Network Security: Principles and Practice, 5/e”, Prentice Hall. \\n2. C Kaufman, R Perlman, M Speciner, Network Security, 2/e” , Pearson Education, 2006. \\n3. B A Forouzan, “Cryptograpgy and Network Security”, Tata McGraw Hill, 2007. \\n4. Aviel D Rubin, “White Hat Security Arsenal: Tackling the Threats”, Addison-Wesley, 2001. \\n5. P. Garrett. “Making and Breaking Codes- An Introduction to Cryptology”, Prentice-Hall, 2001. \\n6. Nigel Smart, “Cryptography: An Introduction”, McGraw-Hill, 2002. \\n7. Schneier. “Applied Cryptography”. Second Edition. John Wiley & Sons, Inc., 1996. \\n8. A. Menezes, P. van Oorschot, S. Vanstone. “Handbook of Applied Cryptography”, CRC press, \\n1997. \\n \\n \\n \\nSubject Code: OE4E34 Course Title Internet of Things \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme Evaluation I (25%), Evaluation II (25%), Evaluation III (25%), Evaluation IV (25%) \\n1. IoT definitions: overview, applications, potential & challenges, and architecture [05H] \\n2. Internet in general and Internet of Things, Internet of Everything, Web of Things, and Making Things \\nSmart. [04H] \\n3. IoT communication protocols, packets, services, performance parameters of a packet network as \\nwell as applications such as web, Peer-to-peer, sensor networks, and multimedia. [06H] \\n4. Business Issues, Aspects and Models of the Internet of Things. Making and Getting Things onto the \\nInternet. [02H] \\n5. Local Area Networks, MAC level, link protocols such as: point -to-point protocols. IoT enabled \\nnetworks: Ethernet, WiFi 802.11, Bluetooth, ZWave, RFID, ZigBee. Wireless Sensor Networks: \\nConcept, Challenges and Implementation criteria, MWSN. [04H] \\n6. Introduction to Raspberry Pi and its integration with Sensors and Actuators. Software Defined \\nNetworks in IoT (static and mobile), Cyber Physical system. [06H] \\n7. Cloud Computing: Basics, business issues, Sensor cloud. Case studies: Smart Home, Smart Cities, '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 82}, page_content='Smart Healthcare [03H] \\nText/Reference books: \\n1. Kurose, James F.; Ross, Keith W. Computer networking: a top-down approach, 5th ed., international \\ned.: Boston, Mass.: Pearson, cop. 2010 \\n2. R Buyya, AV Dastjerdi. Internet of Things: Principles and paradigms, Elsevier Inc., 2016 \\n \\nSubject Code OE4M35 Course Title Advanced Manufacturing Processes \\nContact Hours L-3,T-0 ,P-0 and Technologies \\nProgramme B.Tech Credit 3 \\nPre-requisites: None Semester \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nCourse Detail: \\nUnconventional Machining Processes: Electron Beam Machining (EBM), Plasma Arc Machining (PAM) \\nLaser Beam Machining (LBM), Abrasive Jet Machining (AJM), Water Jet Cutting (WJM), Ultrasonic \\nMachining (USM), Electro -Chemical Machining (ECM), Electric Discharge Machining (EDM), Wire EDM. \\n [20H] \\nAssembly: Jigs and fixtures, principles of location and clamping, synthesis o f simple jigs and fixtures. \\nPrinciples of assembly, engineering theory of dimensional chains, fully interchangeable and selective \\nassembly. [06H] \\nMetrology: Limits, fits and tolerance; automated inspection and CMM. Selection of Manufacturing \\nprocesses for a given product. [04H] \\nHigh Speed Machining: Introduction and concepts of HSM. Issues related to HSM. Comparison with \\nconventional manufacturing processes. [02H] \\nFinishing Processes: Introduction to finishing process, grinding, Lapping, Honing, Super Finishing. [04H] \\nPrecision Manufacturing Processes: Introduction to micro fabrication processes and M4 processes: \\nconcepts of accuracy, errors, influences of dimensional wear on accuracy. [02H] \\nSuggested Textbooks: \\n1. V.K. Jain Advanced Machining processes, Allied Publishers New Delhi 2002. \\n2. Black S.C. Chiles, V.Lissaman, A.J. Martin, S.J. Principles of Engineering Manufactures Arnold Edn. \\n1996. \\nReferences: \\n1. G.F. Benedict, Nontraditional Manufacturing processes, Marcel Dekker, Inc. New York 1987. \\n2. A. Ghosh and A.K. Malik Manufacturing Science Affiliated East West press Ltd. New Delhi 1985. \\n \\nSubject Code: OE4M36 Course Title Quality, Reliability and \\nContact Hours L- 3 T- 0 P- 0 Maintenance Engineering \\nProgramme B.Tech Credit 3 \\nPre-requisites NIL Semester VIII \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 83}, page_content='Quality: Quality conception, quality of design, quality of conformance, cost of quality and value of quality, \\nquality objectives, role of Statistical Quality Control (SQC) for fulfilment of quality objectives; organisation \\nfor quality factors influencing q uality. In control process and out of control process, causes of deviations, \\nchance causes and assignable causes. [08H] \\nControl Charts : General theory, charts for variables and standard deviation, fraction defectives and \\nnumber of defects per unit. Process capability studies, Non-conventional control charts. [09H] \\nAcceptance Sampling : Elementary concepts, sampling by attributes, single and double sampling plans, \\nuse of Dodge Roming and Military standard sampling tables, construction and use of O.C. curves, \\nintroduction to sampling by variates, continuous sampling plans. [08H] \\nReliability: Introduction, failure rate curve, life testing, relationship between constant failure rate, mean \\nlife and ot her failure rates. O.C. curve for stipulated life; Producer and consumer risk in life testing, \\nsampling plans, MIL -STD procedures for failure sequential life testing plans. Reliability study analysis, \\nsynthesis of system reliability, design for reliability, measurement of reliability. [09H] \\nMaintenance Engineering: Machine health monitoring, preventive and predictive maintenance; condition \\nbased maintenance; maintenance planning and scheduling; Application of latest techniques like fibre \\noptics, signature analysis, thermography in maintenance engineering; failure analysis of vital components \\nlike bearings; seals; gears etc; Maintenance strategies and computer aided maintenance. [08H] \\nText/Reference books: \\n1. Reliability and Maintenance Engineering by RC Mishra \\n2. J. M. Juran& Frank M. Gryna : Quality Planning and Analysis Tata McGraw-Hill \\n \\nOE10 (Choose any one course from below electives) \\n \\n \\nSubject Code: OE4E38 Course Title Pattern Recognition and Machine \\nContact Hours L-3, T-0, P-0 Learning \\nProgramme B.Tech Credit 3 \\nPre-requisites NIL Semester VII \\nEvaluation scheme 5 % (Quiz 1), 20% Mid Sem, 5 % (Quiz 2), 40% End Sem, 30% Project \\nSupervised and Unsupervised Learning; Bayes Theorum; Probability Distributions - Gaussian, Bernoulli; \\nCentral Limit Theorem; Naive Bayes; Logistic Regression. [10H] \\nK-nearest Neighbors; Support Vector Machines; Decision Trees; Random Forests; Linear Discriminant \\nAnalysis; Perceptrons; Gradient Descent; Neural Networks. [10H] \\nConvolutional Neural Networks; Algorithm Selection; Understanding Datasets; Regressions; Outliers; \\nClustering; Principal Component Analysis; Feature Scaling. [10H] \\nConstrained and Unconstrained Optimizations; Autoencoder; Reinforcement Learning; \\nApplications. [10H] \\nText books: \\n1. Bayesian Reasoning and Machine Learning, by David Barber, Cambridge University Press. 2000. \\nReference books: \\n1. Understanding Machine Learning: From Theory to Algorithms, By Shai Shalev -Shwartz and Shai Ben -\\nDavid, Cambridge University Press, 2014. \\n2. Pattern classification, Second Edition by Richard O. Duda Peter E.Hart David G.Stork, John Wiley & Sons, \\nINC, 2015. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 84}, page_content=' \\nSubject Code: OE4E39 Course Title Electromagnetic Interference and \\nContact Hours L-3, T-0, P-0 Compatibility \\nProgramme B.Tech Credit 3 \\nPre-requisites Fundamentals of \\nElectromagnetic and Field \\nTheory \\nSemester B.Tech -I \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nBasic Concepts: Introduction and Definition of EMI and EMC with examples, various parameters, sources of \\nEMI, EMI coupling modes - CM and DM, ESD phenomena, and effects, transient phenomena, biological \\neffects of EM radiations, SAR. [10H] \\nCoupling Mechanism : High-frequency behavior of electrical and electronic components (conductors, \\ncapacitor, inductor, resistor, mechanical switches, transformer), electromagnetic field sources and coupling \\npaths, common-mode coupling, differential mode coupling, impedance coupling, inductive and capacitive \\ncoupling, radiative coupling, ground loop coupling, and cable -related emissions and coupling. \\n [10H] \\nEMI Mitigation Techniques : Working principle of shielding, shielding effectiveness, solutions to EMC \\nproblems, choice of shielding materials, gaske tting, and sealing, PCB level shielding, principle of grounding \\nor earthing, lightning protection -buildings and towers, lightning safety, filters, microwave absorbers, \\nfrequency selective surfaces, and metamaterials. [10H] \\nMeasurement Methods and Instrumentation : Fundamental considerations, EMI shielding effectiveness \\ntests, shielded anechoic chamber, waveguide measurement, free space -based non -destructive testing, \\nopen field test, TEM cell for immunity test, antennas, EMC analyzer, spectrum, and network analyzers. \\n [08H] \\nStandard and Regulations : Need for standards, generic/general standards for residenti al and industrial \\nenvironment, product standards, National and International EMI standardizing organizations. [04H] \\nText/Reference books: \\n1. Clayton R.Paul – Introduction to Electromagnetic compatibility, 2nd Edition, 2006, Wiley & Sons. \\n2. B. Keiser, Principles of Electromagnetic Compatibility, 3rd Edition, 1987, Artech House. \\n3. V. P. Kodali, “Engineering EMC Principles, Measurements and Technologies” 1996, IEEE Press, New York. \\n \\nSubject Code OE4M40 Course Title Computer Integrated Manufacturing \\nContact Hours L-3,T-0 ,P-0 Systems \\nProgramme B.Tech Credit 3 \\nPre-requisites: None Semester \\nEvaluation scheme Quiz (20%), Mid-Term (30%), End-Term (50%) \\nCourse Detail: \\nIntroduction: Production Systems; Automation in Production Systems; Manual Labor in Production \\nSystems; Automation Principles and Strategies [03H] \\nManufacturing Operations: Manufacturing Industries and Products; Manufacturing Operations; Production \\nFacilities; Product/Production Relationships; Lean Production [03H] \\nManufacturing Models and Metrics: Mathematical Models of Production Performance; Manufacturing \\nCosts [03H] \\nMaterial Transport Systems: Introduction to Material Handling Equipment; Material Transport Equipment; \\nAnalysis of Material Transport Systems [03H] \\nStorage Systems: Storage System Performance and Location Strategies; Conventional Storage Methods and \\nEquipment; Automated Storage Systems; Engineering Analysis of Storage Systems. [03H] \\nIntroduction to Manufacturing Systems: Components of a Manufactur ing System; Classification of \\nManufacturing Systems; Overview of the Classification Scheme [03H] '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 85}, page_content='Single-Station Manufacturing Cells: Single Station Manned Workstations; Single Station Automa ted Cells; \\nApplications of Single Station Cells; Analysis of Single Station Cells [03H] \\nManual Assembly Lines: Fundamentals of Manual Assembly Lines; Analysis of Single Model Assembly Lines; \\nLine Balancing Algorithms; Mixed Model Assembly Lines; [03H] \\nWorkstation Considerations: Other Considerations in Assembly Line Design; Alternative Assembly Systems \\n [03H] \\nAutomated Production Lines: Fundamentals of Automated Production Lines; Applications of Automated \\nProduction Lines; Analysis of Transfer Lines. [02H] \\nAutomated Assembly Systems: Fundamentals of Automated Assembly Systems; Quantitative Analysis of \\nAssembly Systems. [02H] \\nCellular Manufacturing: Part Families; Parts Classification and Coding; Production Flow Analysis; Cellular \\nManufacturing; Applications of Group Technology; Quantitative Analysis in Cellular Manufacturing. [03H] \\nFlexible Manufacturing Systems: What is a Flexible Manufacturing Systems; FMS Components; FMS \\nApplications and Benefits; FMS Planning and Implementation Issues; Quantitative Analysis of Flexible \\nManufacturing Systems. [03H] \\nQuality Programs for Manufacturing: Quality in Design and Manufacturing; Traditional and Modern Quality \\nControl; Process Variability and Process Capability; Statistical Process Control; Six Sigma; The Six Sigma \\nDMAIC Procedure; Taguchi Methods in Quality Engineering; ISO 9000. [03H] \\nInspection Principles and Practices: Inspection Fundamentals; Sampling vs. 100% Inspection; Automated \\nInspection; When and Where to Inspect; Quantitative Analysis of Inspection [02H] \\nText Books: \\n1. James A. Rehg, Henry W. Kraebber, Computer Integrated Manufacturing, Pearson Prentice Hall, 2004 \\nReferences: \\n1. A. Alavudeen, N. Venkateshwaran, Computer Integrated Manufacturing, PHI Learning Pvt. Ltd., 2008. \\n2. Alan Weatherall, Computer Integrated Manufacturing: From Fundamentals to Implementation, \\n Butterworth-Heinemann, 2013. \\n \\n \\n \\nSubject Code: OE4M41 Course Title Micro and Nano Manufacturing \\nContact Hours L-3, T-0, P-0 Credit 3 \\nProgramme B.Tech Semester VII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nLearning Objective: To give awareness of different techniques used in micro and nano manufacturing. \\nModule 1: Introduction to the course, classification of micromachining and nanofinishing processes, \\nconventional micro and nano machining, Non‐conventional micro and nano manufacturing and finishing \\napproaches, micro and nanofabrication techniques, micro joining [07H] \\nModule 2: Diamond turn machining (DTM), components of DTM, requirements of DTM, material removal \\nmechanism, molecular dynamics, tool geometry,0020CVD diamond technology, CVD diamond proce sses, \\ntreatment of substrate, modification of HFCVD process, nucleation and growth, deposition of 3 -D substrates, \\nwear of diamond. [08H] \\nModule 3: Laser micro and nano machining, fundamentals and their applications, focused ion beam \\nmachining, electro chemical spark micromachining, mechanism, equipment, electron beam micromachining, \\nmechanism-process parameters, appli cations. Abrasive jet micromachining, erosion mechanism, powder \\nfeeding, microstructure fabrication. Ultrasonic micromachining, basic elements, mechanism of material \\nremoval, micro -hole drilling, contour machining, micro -de-burring, machining of ceramic ma terials. \\nelectrochemical micromachining, micro -electric discharge micromachining, principle, micro EDM system \\ndevelopment, process parameters, analytical modeling. [15H] '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 86}, page_content='Module 4 : Micro/nano fabrication, materials for microsystems manufacture, substrates and wafers, active \\nsubstrate materials, silicon and silicon components, photolithography based micro/nano fabrication \\nprocesses, photo resist development, additive and subtractive t echniques, CVD, PVD, etching, chemical, \\nplasma, resists removal, large aspect ratio micro manufacturing, LIGA, deep reactive ion etching. [12H] \\nText/Reference books: \\n1. Mark J. Jackson, Micro and Nanomanufacturing, Purdue University, Springer Book, 2007. \\n2. Waqar Ahmed and Mark J. Jackson, Emerging Nanotechnologies for Manufacturing, Second Edition, \\nElsevier Book, 2015. \\n3. Madou M. J. - ‘Fundamentals of Microfabrication’ - CRC Press - 2009 - 2nd Edition \\n \\n \\nOE11 (Choose any one course from below electives) \\n \\nSubject Code: OE4E44 Course Title Photovoltaics: Fundamentals and \\nContact Hours L-3, T-0, P-0 Application \\nProgramme B.Tech Credit 3 \\nPre-requisites NIL Semester VII \\nEvaluation scheme \\nUnit 1: Introduction to course, role of renewable energy in sustainable development; renewable energy \\nsources, Solar radiation Review of Semiconductor Physics, Charge carrier generation and recombination, p -\\nn junction model and depletion capacitance, Current voltage characteristics in dark and light. \\nUnit 2: Device Physics of Solar Cells, Principle of solar energy conversion, Conversion efficiency, Single, \\ntandem multi-junction solar cells, Numerical solar cell modeling, Numerical solar cell modeling, \\nUnit 3: Crystalline silicon and III -V solar cells, Thin film solar cells: Amorphous silicon, Quantum Dot solar \\ncells, Introduction to Dye Sensitized Solar Cells, Fabrication of Dye Sensitized Solar Cells, Design of novel \\ndyes, Design of solid electrolytes materials, Counter electrode engineering. \\nUnit 4: Introduction to Organic Solar Cells, Physics of Bulk Heterojunction(BHJ) Solar Cells, Morphology and \\ncharge separation in BHJ, Design of low bandgap polymers, Perovskite Solar Cells, Fabrication of perovskite \\nsolar cells, Photo physics in perovskite solar cells, Stability in perovskite solar cells, Lead free perovskite \\nsolar cells. \\nUnit 5: Photovoltaic system engineering, Thermo- Photovoltaic generation of electricity, Concentration and \\nstorage of electrical energy, Pho tovoltaics modules, system and application, Green energy building. \\nNanomaterials for photovoltaics, PV panels with nanostructures, Band gap engineering and optical \\nengineering, Photo thermal cells, Energy Economy and management \\nText/Reference books: \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 87}, page_content=' \\nB.Des Semester-VII \\n \\nSubject Code: DS4013 Course Title: Design Seminar 1 \\nContact Hours: L-0, T-0, P-0 Credit: 2 \\nProgramme : B.Des Semester : 7 \\nPre-requisites: NIL \\nEvaluation scheme Presentation (15%), Problem Identification (30%), Time management (15%), \\nDesign solution (40%) \\n Subject Code: DS4014 Course Title: Design Thesis 1 \\nContact Hours: L-0, T-0, P-0 Credit: 16 \\nProgramme : B.Des Semester : 7 \\nPre-requisites: NIL \\nStudents in this semester would take up a technically complex project. Example designing a coffee vending \\nmachine, packaging for life saving drugs etc. The students can do design thesis in -house but it would be \\nadvisable for them to go to industry/ design firms to do the thesis. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 88}, page_content=' \\nB.Tech/B.Des Semester-VIII \\n \\nOE13 (Choose any one course from below electives) \\n \\nCourse Code CS8013 Course Title Mobile and Wireless Networks \\nContact Hours L-3,T-0,P-0 Credit 3 \\nProgram B.Tech Semester VIII \\nPre-requisites None \\nEvaluation Scheme Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : After completing this course, the student will learn the enabling technology in the \\nwireless networking along with components and subsystems used in wireless networking. \\nCourse Details: \\n \\n \\nModule 1: (Basic of wireless communication & channel) An Overview of Wireless Systems: Wireless \\nHistory, A taxonomy of wireless networks, Cellular Generations (from1G to 4G), Current & Future \\nWireless Technologies, Trends. Radio Propagation and Interference: Radio wave propagation, Multi -\\npath characteristic of radio wave, Short/long term fading, Indo or and Outdoor propagation models. \\n [10H] \\nModule 2: (Multiple Radio Access & Multiple Division Techniques for Traffic Channels) \\nModulation techniques: Digital Modulation in Modern Wireless Systems (QPSK, DQPSK, p/4 DQPSK, n -\\nQAM, OFDM). Multiple Access Techniques: Contention -Based (Random -based) Protocols (ALOHA, \\nCSMA), Reservation based Protocols (FDMA, TDMA, CDMA), Fundamental of SC -FDMA and OFDMA, \\nFHSS, DSSS. [10H] \\nModule 3: (Mobile Wireless Networks) Cellular concept: Basic principles of cellular systems, e.g., Cell \\nlayout, Planning, Interference. Traffic Channel Allocation & Mobility: Fixed Channel Allocation (FCA), \\nDynamic Channel Allocation (DCA), Hybrid Channel Allocation (HCA), Mobile IP. [10H] \\nModule 4: (Wireless LAN & PAN) Wireless LAN: Operation of IEEE 802.11 Wireless LAN, incl. CSMA/CA, \\nRTS/CTS, power management, 802.11a/b/g/n, 802.11e. Wireless PAN: Overview of operation of low -\\npower wireless systems based on IEEE 802.15.1 (Bluetooth) and IEEE 802.15.4 (Zigbee). Introduction to \\nWiMAX and LTE. [10H] \\nText/ Reference books: \\n1. Dharma P. Agrawal, Qing -An Zeng, Introduction to Wireless and Mobile Systems, Third Edition, \\n Cengage learning, 2015. \\n2. Kaveh Pahlavan, Principles of Wireless Networks: A Unified Approach, Second Revised Edition, John \\n Wiley & Sons, Inc., 2011. \\n3. Garg, Wireless Communications and Networks, Morgan Kaufmann, 2010. \\n4. T. S. Rappaport, Wireless Communications -Principles and Practice, Second Edition, Pearson \\n Education, 2002. \\n5. William Stallings, Wireless Communications and Networks, Second Edition, Pearson, 2005. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 89}, page_content=' \\nOE14 (Choose any one course from below electives) \\n \\nSubject Code EC8021 Course Title Fundamentals of 5G and Beyond 5G \\nContact Hours L-3, T-0, P-0 Mobile Wireless Networks \\nProgramme B.Tech Credit 3 \\nPre-requisites Digital communications, Mobile \\nCommunications / Wireless \\nCommunications \\nSemester VIII \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nLearning Objective: Understanding the basics of 5G and Beyond 5G Wireless communication. \\nProviding a basic understanding of the key technologies and enablers of 5G and beyond communication \\nsystems. \\nStudy of 5G wireless channel models, 5G techniques e.g. massive MIMO, mmWave etc. and applications \\nof 5G/B5G mobile wireless networks. Practical \\nCourse Detail : Journey of 5G/B5G networks (1G to B5G/5G -NR), Wireless Channel Model and Fading, \\nArchitecture of 5G/B5G, Backbone of 5G/B5G Network (CRAN, Optical Fiber based Backbone network, \\nUltra Dense Network(UDN), OFDMA, NOMA, MIMO, Massive MIMO , Beamforming, Visible Light \\nCommunication (VLC) \\n D2D Communication, Gre en 5G/B5G networks, millimeter wave technology, and QoS/QoE analysis of \\nwireless channel, application of AR/VR based on 5G/B5G. \\nWeek 1: Journey of 5G/B5G networks (1G to B5G/ 5G-NR), Wireless Channel Model and Fading \\nWeek 2: Architecture of 5G/B5G \\nWeek 3: Backbone of 5G/B5G Network (CRAN and Optical Fiber based Backbone network) \\nWeek 4: Ultra Dense Network(UDN), OFDMA \\nWeek 5: NOMA, MIMO \\nWeek 6: Massive MIMO , Beamforming, Visible Light Communication (VLC) \\nWeek 7: D2D Communication, Green 5G/B5G networks \\nWeek 8: Millimeter wave technology, QoS/QoE analysis of wireless channel and Application of AR/VR \\nbased on 5G/B5G , \\nText Books: \\n1. Martin Sauter “From GSM From GSM to LTE –Advanced Pro and 5G: An Introduction to Mobile \\n Networks and Mobile Broadband”, Wiley-Blackwell. \\n2. Afif Osseiran, Jose.F.Monserrat, Patrick Marsch, “Fundamentals of 5G Mobile Networks”, Cambridge \\n University Press. \\n3. Athanasios G.Kanatos, Konstantina S.Nikita, Panagiotis Mathiopoulos, “New Directions in Wireless \\n Communication Systems from Mobile to 5G”, CRC Press. \\n4. Theodore S.Rappaport, Robert W.Heath, Robert C.Danials, James N.Murdock “Millimeter Wave \\n Wireless Communications”, Prentice Hall Communications \\n5. Wei Xiang, Kan Zheng, Xuemin (Sherman) Shen, - 5G Mobile Communications, Springer, 2017. \\nReference books: \\n1. Jonathan Rodriguez, “Fundamentals of 5G Mobile Networks”, John Wiley & Sons. \\n2. Amitabha Ghosh and Rapeepat Ratasuk “Essentials of LTE and LTE-A”, Cambridge University Press. \\nReference Paper: \\nA survey of 5G network: Architecture and emerging technologies \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 90}, page_content=' \\n \\nSubject Code: ES407a Course Title Fundamentals of RF & \\nMicrowave \\nElectronics \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nMathematical foundation in understanding of signals, circuits and devices: basic properties of Fourier \\nTransforms, transmission line theory, T and 𝜋 equivalent circuit, behaviour of transmission line at radio \\n& microwave frequency. [10 H] \\nDC and Low Frequency Circuit Concepts: BJT Biasing, mode of operation small signal AC analysis. FET \\ncircuits at DC, AC analysis, first and second order AC models of FETs, hig h frequency models of BJT and \\nFETs, single pole approximation, differential amplifiers, and frequency response. [10 H] \\nCircuit Representation of Two Port RF/ Microwave Networks: Impedance, Admittance, Hybrid, \\nTransmission Matrix, Generalized S parameters, Reciprocal Networks, Loss less Networks, Signal Flow \\ngraphs and its Applications. [10 H] \\nImpedance Matching and network selection: power gain concept, mismatch factor, return loss, \\ninput/output VSWR, maximum gain, constant gain desig n, figure of merit, matching network design \\nusing lumped and distributed elements, stability consideration in active networks. [10 H] \\nText/Reference books: \\n1. T.C. Edwards,Foundations for Microstrip Circuit Design 1stEdition, Wiley Interscience. \\n2. Ulrich L. Rohde, Matthias Rudolph,RF / Microwave Circuit Design for Wireless Applications, 2nd \\nEdition, 2012. \\n \\n \\nSubject Code: ES407b Course Title Internet of Things \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nIoT definitions: overview, applications, potential & challenges, and architecture. [6 H] \\nInternet in general and Internet of Things, Internet of Everything, Web of Things, and Making \\nThings Smart. [5 H] \\nIoT communication protocols, packets, services, performance parameters of a packet network as \\nwell as applications such as web, Peer-to-peer, sensor networks, and multimedia. [6 H] \\nBusiness Issues, Aspects and Models of the Internet of Things. Making and Getting Things onto the \\nInternet. [5 H] \\nLocal Area Networks, MAC level, link protocols such as: point-to-point protocols, Ethernet, WiFi 802.11, \\ncellular internet access, and Machine-to-machine. [6 H] \\nMobile Networking: roaming and handoffs, mobile IP, and ad hoc and infrastructure less networks. \\n[6 H] \\nIoT examples: Case studies, e.g. sensor body-area-network and control of a smart home. [6 H] \\nText/Reference books: \\nKurose, James F.; Ross, Keith W. Computer networking: a top-down approach, 5th ed., \\ninternational ed.: Boston, Mass.: Pearson, cop. 2010 \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 91}, page_content='Subject Code: ES407c Course Title Applied Photonics \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nIntroduction: Review of basic optics, wave propagation, polarization, diffraction, Gaussian Beams, \\nElectrooptic effect, electro-optic modulators and their design considerations, Acousto-optic effect, \\nRaman Scattering and Bragg diffraction, acousto-optic modulators and deflectors. [10H] \\nFibres: Principles of optical communication systems, optical sources and detectors, Optical fibres: \\nmode of an optical fibre, multimode fibres, single mode fibres and their propagation characteristics, \\nDispersion management in optical fibres and link design considerations.[10H] \\nIntegrated optics: Planar and channel waveguides, coupled and dielectric waveguides, dielectric backed \\nwaveguides, directional couplers, optical switch, electro -optic and acousto -optic waveguide devices. \\nDisplay devices, holography and optical information processing. [10H] \\nPhotonics: Introduction to Photonic crystals, Lithium Niobate Crystal, its lattice structure, \\npolarization and anisotropy in the crystal, Photonic Band Gap effect, guided wave structure and \\ncomponents on Photonic Crystals, diffraction limit and constraints on physical dimensions. [10H] \\nText/Reference books: \\n1. Photonic Crystals: Molding the Flow of Light, John D. Joannopoulos, Princeton University Press. \\n2. Optical Fibre Communications, Gerd Keiser, TMH, 2008. \\n3. IEEE Journal of Lightwave Technology, IEEE Photonics Journal. \\n \\nSubject Code: ES407d Course Title Operations Research \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) \\nModeling with Linear Programming - Two-Variable LP Model, Graphical LP Solution, Solution of a \\nMaximization Model, Solution of a Minimization Model, Selected LP Applications; [6 H] \\nThe Simplex Method and Sensitivity Analysis - LP Model in Equation Form, Transition from \\nGraphical to Algebraic Solution, The Simplex Method, Artificial Starting Solution, Special Cases in the \\nSimplex Method, Sensitivity Analysis - Graphical and Algebraic Sensitivity Analysis; [6 H] \\nDuality and Post-Optimal Analysis - Definition of the Dual Problem, Primal-Dual Relationships, \\nEconomic Interpretation of Duality, Post-Optimal Analysis; [6 H] \\nTransportation Model and Its Variants - Definition of the Transportation Model, The \\nTransportation Algorithm, The Assignment Model; [6 H] \\nNetwork Models - Minimal Spanning Tree Algorithm, Shortest-Route Problem, LP Formulation of the \\nShortest-Route Problem, Maximal flow model, LP Formulation of Maximal Flow Model, Critical Path \\n(CPM) Computations, Construction of the Time Schedule, LP Formulation of CPM;. \\n[7 H] \\nInteger Linear Programming - Integer Programming Algorithms, Branch-and-Bound (B&B) \\nAlgorithm, Cutting-Plane Algorithm, Traveling Salesperson Problem (TSP), Heuristic Algorithms, B&B \\nSolution Algorithm, Cutting-Plane Algorithm; [7 H] \\nDeterministic Dynamic Programming - Recursive Nature of Computations in DP, Forward and \\nBackward Recursion, Selected DP Applications. [8 H] '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 92}, page_content='Text/Reference books: \\n1. Hamdy A. Taha Operations Research: An Introduction, Pearson. \\n2. Frederick S. Hiller, Gerald J. Lieberman, Introduction to Operations Research, McGraw Hill. \\n3. Ravindran, Phillips and Solberg, Operations Research: Principles and Practice, Wiley India. \\n4. Hillier and Liberman, Introduction to Operations Research: Concepts and Cases, McGraw-Hill. \\n \\n \\nSubject Code: ES407f Course Title Social network \\nAnalysis \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme \\nModeling with Linear Programming - Two-Variable LP Model, Graphical LP Solution, Solution of a \\nMaximization Model, Solution of a Minimization Model, Selected LP Applications; [06 hr] \\nThe Simplex Method and Sensitivity Analysis - LP Model in Equation Form, Transition from \\nGraphical to Algebraic Solution, The Simplex Method, Artificial Starting Solution, Special Cases in the \\nSimplex Method, Sensitivity Analysis - Graphical and Algebraic Sensitivity Analysis; [06 hr] \\n Duality and Post-Optimal Analysis - Definition of the Dual Problem, Primal-Dual Relationships, \\nEconomic Interpretation of Duality, Post-Optimal Analysis; [06 hr] \\nTransportation Model and Its Variants - Definition of the Transportation Model, The \\nTransportation Algorithm, The Assignment Model; [06 hr] \\nNetwork Models - Minimal Spanning Tree Algorithm, Shortest-Route Problem, LP Formulation of the \\nShortest-Route Problem, Maximal flow model, LP Formulation of Maximal Flow Model, Critical Path \\n(CPM) Computations, Construction of the Time Schedule, LP Formulation of CPM; [07 hr] \\nInteger Linear Programming - Integer Programming Algorithms, Branch -and-Bound (B&B) Algorithm, \\nCutting-Plane Algorithm, Traveling Salesperson Problem (TSP), Heuristic Algorithms, B&B Solution \\nAlgorithm, Cutting-Plane Algorithm; [07 hr] \\nDeterministic Dynamic Programming - Recursive Nature of Computations in DP, Forward and Backward \\nRecursion, Selected DP Applications. [08 hr] \\nText/Reference books: \\n1. Hamdy A. Taha Operations Research: An Introduction, Pearson. \\n2. Frederick S. Hiller, Gerald J. Lieberman, Introduction to Operations Research, McGraw Hill. \\n3. Ravindran, Phillips and Solberg, Operations Research: Principles and Practice, Wiley India. \\n4. Hillier and Liberman, Introduction to Operations Research: Concepts and Cases, McGraw-Hill. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 93}, page_content='Subject Code: HS405a Course Title Culture and \\nTechnology \\nContact Hours L- 3 T- 0 P- 0 GD-1 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-Term (30%), Quiz II (10%), End-Term (50%) \\nCulture, Technology and Innovation – [8L] \\nCulture a Technique- Remaking of the human Being, Technological advancement Vs. Culture, Four \\nCradles and Fertile Crescent, Science and Technology- an instrument of culture- invention of wheel and \\nfire, Philosophy -an advancement in thought and Intuitions, Art and architecture, Inventions and \\ndiscoveries- from hunting and food gathering to Mass scale manufacturing. \\nAge of Enlightenment [5L] \\nAdvancement in Science and Technology- Pros and cons,Accomplishment of Science and Technology and \\nstatus of Human society. \\nAge of Revolution [5L] \\nIndustrialization and mutual dependency,Urbanization and Nuclear families, Growth of Classes Age \\nof Internationalization [8L] \\nGrowth of Liberalism,Growth of Nationalism and migration of Technology from source to, destinations \\nmiles apart,Nations at competition- Arms Race, Imperialism- Need identification and weathering of \\nCulture \\nAge of World Civilization- [10L] \\nLimitations of Science and Technology,Limitations of Art and Civilization,Outbreak of hostilities- Two \\nWorld Wars- contribution of Technology and loosening of cultural moorings. \\nSearch for Stabilization- [6L] \\nGlobalization and Proliferation of Science and Technology, Stereotype population and world- wide \\ntechnology, Modernization, Commitment and Consciousness, New Power Relationship- Need for Culture \\ndriven Technology. \\nText/Reference books: \\n1. World Civilizations: Their History and Their Culture VOL. A,B,C. \\n2. A Cultural History of India- A.L.Basham \\n3. The Heroes of History- Will Durant \\n4. Technopoly: The Surrender of Culture to Technology by Neil Postman \\n5. Culture and Technology Paperback – January 15, 2003by Andrew Murphie (Author), John Potts \\n6. Culture and Technology: A Primer by Jennifer Daryl Slack (Author), \\n7. The Cultural Studies Reader Paperback – Import, 9 Mar 2007by Simon During (Editor) \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 94}, page_content=' \\nSubject Code: EC419a Course Title RF and Microwave \\nEngineering \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nWaveguides and Resonators : Review of EM Theory: Wave propagation through waveguides - \\nrectangular, circular, elliptical-cutoff frequency, modes, group and phase velocities. Power Transmission \\nand losses in Waveguides. Excitation of various modes in Waveguides, Microwave cavities – Rectangular \\nand Circular Cavity Resonators. Semi -circular Cavity Resonators, Q factor of a Cavity Resonators.\\n [12 H] \\nMicrowave Components: Microwave Hybrid Circuits –Waveguide Tees and Scattering Matrices. Magic \\nTee and Hybrid Rings (Rat -race circuits) an d their Scattering matrices. Waveguide Corners, Bends and \\nTwists, irises, windows, Directional couplers. Two -hole Directional Couplers, S -matrix of a Directional \\nCoupler. Circulators and Isolators. [12 H] \\nMicrowave Devices and Measurements: Microwave Transistor; Tunnel Diode; Varacter Diode; Schottky \\nDiode; Gunn diode, IMPATT diodes. Klystron, Magnetron, Traveling Wave \\nTubes.Measurement of power, frequency and wavelength, Measurement of impedance, SWR, \\nattenuation, Q of cavity and noise factor. [10 H] \\nMicrowave Integrated circuits: MMIC, strip and microstrip lines, slot and coplanar lines, planar circuits, \\nPassive elements, components and devices, Analytical methods associated with MIC theory, MMIC \\nFabrication Techniques, Printed Antennas, Future trend in MICs. \\n[6 H] \\n1. EM Wave and Radiating System by Jordan and Balmain \\n2. Foundations for Microwave Engineering by Robert E Collin \\n3. Microwave Devices and Circuits by Samuel Y Liao \\n4. Practical MMIC Design by Steve Marsh \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 95}, page_content=' \\nSubject Code: EC419b Course Title Power Electronics \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I & II (15%), Midterm (25%), Assignments/Class Performance \\n(10%), End term (50%) (Tentative, decided at the beginning of the semester in \\nconsultation with the students) \\nIntroductions: Power semi semiconductor devices, Types of power electronic circuits and design of P \\nPower electronics equipment, Applications of Power electronics. [7 H] \\nSemiconductor Diodes and Circuits: Diode Characteristics, Power Diode Types, Series and Parallel \\nconnected diodes, Diodes with different types of loads(R, RC, RL, LC, RLC Loads), Freewheeling \\ndiodes. [7 H] \\nDiode Rectifiers: Single phase half wave rectifier, Single phase full wave rectifier, Single phase full wave \\nrectifier with RL Load, Three phase Bridge rectifier, Three phase Bridge rectifier with RL Load DC-DC \\nConverters: Principles of stepdown chopper and operation, Principle of stepup chopper and operation, \\nclassification of choppers. \\n[7 H] \\nThyristors: Thyristor Characteristics, Thyristor Turn on and Turn off, Two -transistor model of Thyristor, \\nThyristor types, Series and Parallel operation of Thyristor Controlled Rectifiers: Principle of phase \\ncontrolled converter operation, Single phase full -converters, Single phase semi - converter, Principle of \\nthree phase half wave Converters, Three phase full converters, Three phase Semi-converter. [7 H] \\nInverters: Single phase series resonan t inverter, Single phase bridge inverters, Three phase bridge \\ninverters, Voltage control of inverters. [5 H] \\nAC Voltage Controllers:Principle of On-Off and phase controls, Single phase ac voltage controller with \\nresistive load, Single phase ac voltage controller with inductive load, Three phase ac voltage controllers \\n, Single phase Cyclo Converters, Three phase Cyclo Converters Some Applications. \\n[9 H] \\nText/Reference books: \\n1. M.H. Rashid, “Power Electronics: Circuits, Devices & Applications”; Prentice Hall (I) Pvt Ltd. \\n2. Singh M.D., Khanchandani K.B. \"Power Electronics\", 2nd Edition, Tata McGraw-Hill, 2007. \\n3. Sen P.C., “Power Electronics”, Tata McGraw-Hill, 2008. \\n4. Mohan, Undeland, Robbins, “Power Electronics”, 3rd edition, John Wiley & Sons, 2002. \\n5. Bose B.K., “Modern Power Electronics & AC Drives”, 1st edition, PHI, 2002. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 96}, page_content='Subject Code: EC419b Course Title Advance Filter \\nDesign \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nModule I: Introduction of DSP [8 H] \\nDiscrete-time signals, sequence operations, sampling, Digital Signal Processing and its applications, filter \\nand its applications, Discrete Fourier and Z -transforms, system function for linear shift - invariant systems, \\nFast Fourier Transform (FFT), fast convolution by FFT using the overlap-save or overlap-add methods, FFT \\nalgorithms in linear filtering and correlation. \\nModule II: Introduction of Digital Filter [10 H] Design of \\nInfinite Impulse Response (IIR) digital filters by transformation from analog filters: Impulse Invariance, \\nBilinear Transformation, Matched Z-transforms, Design of LP, HP, BP, SP IIR Filters. \\nDesign of Finite Impulse Response (FIR) digital filters by Windowing, Frequency Sampling, Design of \\noptimum equi-ripple linear phase FIR filters, Design of LP, HP, BP, SP IIR Filters. \\nModule III: Advance methods of Filter Design [10 H] \\nOptimization Methods for IIR and FIR filter Design: Deczky’s method for IIR filter design in the frequency \\ndomain, Pade approximation method, Least- squares design method in time domain, Implementation \\naspects: Quantization of parameters, Finite word-length, and Filter Structures. \\nModule IV: Computer Aproaches of Filter Design [10 H] Computer \\nAided Design of FIR and IIR digital filters, Design of Digital filters by Criterion Minimization, \\nComputer Added Design of equireple FIR Filters, Digital IIR and FIR Filter Design Using MATLAB. \\nModule V: Application of Digital Filters [4 H] \\nApplication of Digital Filters in Signal and Image processing, Biomedical signal processing, Speech \\nProcessing etc. \\nText/Reference books: \\n1. S. K. Mitra, Digital Signal Processing: A Computer Based Approach. Tata McGraw Hill. McGraw \\nHill, 2006. \\n2. John G.Proakis, Dimitris G.Manobakis, Digital Signal Processing, Principles, Algorithms and \\nApplications, Third edition, (2000) PHI \\n3. Digital Signal Processing Emmanuel C Ifeachor, Barrie W Jrevis, Pearson Education. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 97}, page_content='Subject Code: ME419a Course Title Computer Integrated \\nManufacturing \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) \\nIntroduction: Production Systems; Automation in Production Systems; Manual Labor in Production \\nSystems; Automation Principles and Strategies [3 H] \\nManufacturing Operations: Manufacturing Industries and Products; Manufacturing Operations; \\nProduction Facilities; Product/Production Relationships; Lean Production [3 H] \\nManufacturing Models and Metrics: Mathematical Models of Production Performance; Manufacturing \\nCosts [3 H] \\nMaterial Transport Systems: Introduction to Material Handling Equipment; Material Transport \\nEquipment; Analysis of Material Transport Systems [3 H] Storage \\nSystems: Storage System Performance and Location Strategies; Conventional Storage Methods and \\nEquipment; Automated Storage Systems; Engineering Analysis of Storage Systems. \\n[3 H] \\nIntroduction to Manufacturing Systems: Components of a Manufacturing System; Classification of \\nManufacturing Systems; Overview of the Classification Scheme [3 H] Single-\\nStation Manufacturing Cells: Single Station Manned Workstations; Single Station \\nAutomated Cells; Applications of Single Station Cells; Analysis of Single Station Cells [3 H] Manual \\nAssembly Lines: Fundamentals of Manual Assembly Lines; Analysis of Single Model Assembly Lines; Line \\nBalancing Algorithms; Mixed Model Assembly Lines; [3 H] \\nWorkstation Considerations; Other Considerations in Assembly Line Design; Alternative Assembly Systems\\n [3 H] \\nAutomated Production Lines: Fundamentals of Automated Production Lines; Applications of \\nAutomated Production Lines; Analysis of Transfer Lines. [2 H] \\nAutomated Assembly Systems: Fundamentals of Automated Assembly Systems; Quantitative Analysis \\nof Assembly Systems. [2 H] \\nCellular Manufacturing: Part Families; Parts Classification and Coding; Production Flow Analysis; Cellular \\nManufacturing; Applications of Group Technology; Quantitative Analysis in Cellular Manufacturing.[3 H] \\nFlexible Manufacturing Systems: What is a Flexible Manufacturing Systems; FMS Components; FMS \\nApplications and Benefits; FMS Planning and Implementation Issues; Quantitative Analysis of Flexible \\nManufacturing Systems. [3 H] \\nQuality Programs for Manufacturing: Quality in Design and Manufacturing; Traditional and Modern \\nQuality Control; Process Variability and Process Capability; Statistical Process Control; Six Sigma; The Six \\nSigma DMAIC Procedure; Taguchi Methods in Quality Engineering; ISO 9000. \\n[3 H] \\nInspection Principles and Practices: Inspection Fundamentals; Sampling vs. 100% Inspection; Automated \\nInspection; When and Where to Inspect; Quantitative Analysis of Inspection [2 H] \\nText/Reference books: \\n[1] Computer Integrated Manufacturing by by James A. Rehg (Author), Henry W. Kraebber (Author) \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 98}, page_content=' \\nSubject Code: CS419a Course Title Computer Vision \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid term (25%), Quiz II (10%), End term (40%), Project \\n(20%) \\nIntroduction: Introduction to Computer Vision, Image Formation and Representation, Transformation: \\nOrthogonal, Euclidean, Affine, Projective, etc.[3H] \\nLow-level processing: Image analysis, preprocessing, Fourier Transform, Convolution and Filtering, Image \\nEnhancement, Restoration, Histogram Processing [5H] \\nFeature Extraction: Edges - Canny, LOG, DOG; Line detectors (Hough Transform), Corners - Harris and \\nHessian Affine, Orientation Histogram, SIFT, SURF, HOG, GLOH, Scale -Space Analysis- Image Pyramids and \\nGaussian derivative filters, Gabor Filters and DWT [7H] \\nImage Segmentation: Region Growing, Edge Based approaches to segmentation, Graph -Cut, Mean -Shift, \\nMRFs, Texture Segmentation; Object detection[7H] \\nObject Recognition: Structural Approaches, Model-based Approaches, Appearance and Shape- based \\nApproaches, Probabilistic Paradigms. [4H] \\nPattern Analysis: Clustering: K-Means, K-Medoids, Mixture of Gaussians, Classification: Discriminant \\nFunction, Supervised, Un-supervised, Semi-supervised; Classifiers: Bayes, KNN, ANN models; \\nDimensionality Reduction: PCA, LDA, ICA; Non-parametric methods [7H] \\nMotion Analysis: Background Subtraction and Modeling, Optical Flow, KLT, Spatio-Temporal Analysis, \\nDynamic Stereo; Motion parameter estimation [4H] \\nApplications and Performance Evaluation Measures: CBIR, CBVR, Security and Surveillance (Activity \\nRecognition, Biometrics etc.), Medical imaging, Document processing, image fusion, Super-resolution, \\nAugmented Reality, Performance Evaluation Measures. [5H] \\nText/Reference books: \\n1. Richard Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag London Limited \\n2011. \\n2. Computer Vision: A Modern Approach, D. A. Forsyth, J. Ponce, Pearson Education, 2003. \\n3. Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, Second \\nEdition, Cambridge University Press, March 2004. \\n4. K. Fukunaga; Introduction to Statistical Pattern Recognition, Second Edition, Academic Press, \\nMorgan Kaufmann, 1990. \\n5. R.C. Gonzalez and R.E. Woods, Digital Image Processing, Addison- Wesley, 1992. \\n \\nSubject Code: CS419b Course Title Distributed Systems \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\nIntroduction, Architectures, Processes, Communication. [10 H] \\nNaming, Synchronization, Consistency and Replication [10 H] \\nFault Tolerance, Security, Distributed Object-based Systems [10 H] \\nDistributed File Systems, Distributed Web-based Systems [07 H] \\nDistributed Coordination-based Systems [05 H] \\nText/Reference books: \\nA S Tanenbaum, “Distributed Systems: Principles and Paradigms”, PHI, 2007 \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 99}, page_content='Subject Code: CS419c Course Title Quantitative Methods in \\nSoftware Engineering \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Term \\nProject (20%) \\nAssessment in Software Engineering, Software Measurement and Metrics, Research Method in SE - \\nControlled Experiment, Case studies, Surveys, and others [12 H] \\nControlled Experiments, Design of Experiments, Simulation Methods, Examples and Case Studies for \\nControlled Experimentations, Data Collection and Analysis, Validity and Interpretation [12 H] Case Studies \\nand Surveys, Design and Execution, Data Collection, Data Analysis, Statistical Data Analysis, Validity and \\nInterpretation [12 H] \\nPlanning, Designing, Conducting Empirical Studies, Replication, Documentation, Review, Examples\\n [6 H] \\nText/Reference books: \\n1. Basics of Software Engineering Experimentation, Natalia Juristo and Ana M. Moreno, Kluwer, \\n2001. \\n2. Guide to Advanced Empirical Software Engineering, Forest Shull, Janice Singer, and Dag \\nI.K. Sjøberg, Springer 2008 \\n \\nSubject Code: EC420a Course Title Advanced Control Systems \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nIntroductions: Introduction and applications of Control Theory in different fields. [1 H] State \\nVariable Analysis and Design: State Variable Representation, Conversion between State Variable\\n Models to Transfer function and Vice-versa, Eigen Values, Eigen Vectors, \\nDiagonalization, Solution of State Equations, Controllability and Observability, Pole placement by State \\nfeedback, Design of State Observer: Full order and Reduced order state observer, Compensator \\nDesign by Separation Principle Servo Design: Introduction of the Reference input by Feed-forward Control, \\nState Feedback with integral Control [8 H] Digital Control System, The \\nz-transform, Inverse z-transform, Pulse Transfer Function, z- and s- plane relationship, z-transform \\nanalysis of Sampled-data Control System, Stability analysis of Sampled-data Control System, \\n [8 H] \\nDesign of Feedback Control System: Preliminary consideration of Classical Design, Realization and Design \\nof Basic Compensator, Design of PID controller [8 H] Design of \\nDigital Control System: Z-plane Specifications of Control System Design, Digital Compensator Design \\nusing Frequency Response Plots, Digital Compensator design using Root locus plots, Design of Digital \\nPID controller [8 H] Optimal \\nControl Systems: Parameter Optimization, Optimal Control Problem: Transfer Function Approach, Optimal \\nControl Problem: State Variable Approach [5 H] \\nIntroduction to Adaptive Control(Model Reference Adaptive Control), [4 H] \\nText/Reference books: \\n1. Digital Control and State Variable Methods by M Gopal, McGraw-Hill, 2003 \\nControl Systems Engineering by I J Nagrath and M Gopal, New age International, 2007 \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 100}, page_content=' \\nSubject Code: EC420b Course Title VLSI Test and Testability \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nFundamental of VLSI Testing Basic of VLSI testing, Scope of testing and verification in VLSI design process, \\nIssues in test and verification of complex chips, embedded cores and SOCs. [12 H] \\nFault Modeling and Testing Fault models, fault detection and redundancy, fault equivalence and fault \\nlocation, fault dominance, automatic test pattern generation, Design for testability, Scan design, Test \\ninterface and boundary scan. System testing and test for SOCs. Delay fault testing. [12 H] \\nTest automation and Design verification BIST for testing of logic and memories, Test automation, Design \\nverification techniques based on simulation, analytical and formal approaches. [10 H] \\nModule 4 Functional and Timing verification \\nFunctional verification, Timing verification, Formal verificat ion, Basics of equivalence checking and model \\nchecking, Hardware emulation. [8 H] \\nText/Reference books: \\n1. M. Abramovici, M. A. Breuer and A. D. Friedman, Digital System Testing and Testable Design, Jaico \\nPublishing House, 1990. \\n2. T. Kropf, Introduction to Formal Hardware Verification, Springer Verlag, 2000. \\n3. Neil H. E. Weste and Kamran Eshraghian, Principles of CMOS VLSI Design, Addison Wesley, Second \\nEdition, 1993. \\n4. Neil H. E. Weste and David Harris, Principles of CMOS VLSI Design, Addison Wesley, Third Edition, 2004. \\n5. M. Bushnell and V. D. Agrawal, Essentials of Electronic Testing for Digital, Memory and Mixed-\\nSignal VLSI Circuits, Kluwer Academic Publishers, 2000. \\nParag K. Lala, Digital Circuit Testing and Testability, Academic Press, 1997 \\n \\nSubject Code: EC420c Course Title Information Theory \\nand Coding \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nReview of probability theory, Entropy: marginal entropy, joint entropy, conditional entropy and the chain \\nrule for entropy. Mutual information between ensembles of random variables. [6 H] Source \\nCoding theorems: prefix, variable and fixed length codes. Channel models and channel capacity. \\nChannel Coding theorem. [9 H] \\nLinear Block Codes: Generator and parity check matrices, Minimum Distance, Syndrome \\ndecoding, Bounds on minimum distance. [9 H] \\nCyclic Code: Finite Fields, binary BCH codes, RS Codes. [9 H] \\nConvolutional Codes: Encoders, Trellis, Viterbi decoding. [9 H] \\nText/Reference books: \\n1. Thomas M. Grover and Joy A. Thomas, “Elements of Information Theory,” Wiley. \\n2. John G. Proakis and Masoud Salehi, “Digital Communications,” 5th edition, McGraw Hill. \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 101}, page_content='Subject Code: ME420b Course Title Mechanics of \\nComposite Materials \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme (20%), Mid-sem(25%), Project (15%) and End-sem(40%) \\nIntroduction \\nBasic concepts and mechanical behaviour of laminated fiber-reinforced composite materials, \\napplications to engineering structures, different types of fibers and matrices. [8 H] Micromechanics \\nPrediction of elastic constants and strengths, mechanics of load transfer from matrix to fiber. [8 H] \\nMacromechanics \\nTheory of elasticity for anisotropic materials, constitutive law for laminae, transformation of stresses, \\nstrains and material properties. Constitutive law for laminates and significance of [A], [B] and [D] stiffness \\nmatrices, stress and strain analyses of laminates, failure criteria, hygrothermal stresses, bending of plane \\nanisotropic beams, classical and first order theories of laminated composite plates, analysis of Sandwic h \\nPlates, buckling analysis of laminate composite plates, first order shear deformation theory, inter -laminar \\nstresses and delamination. [20 H] \\nSeveral Aspects of Design \\nComposite tailoring and design issues, statics and elastic stability of initially curved and twisted composite \\nbeams, plates and sandwich structures. [5 H] \\nText/Reference books: \\n[1] R M Jones (1999), “Mechanics of Composite Materials (2nd Ed),” Taylor and Francis, India. \\n[2] B D Agarwal, L J Broutman and K Chandrashekhara (2006), “Analysis and Performance of Fiber \\nComposites (3rd Ed),” John Wiley and Sons, Inc., New Delhi, India. \\n[3] Autar K Kaw (2006), “Mechanics of Composite Materials (2nd Ed),” Taylor and Francis, USA. \\n[4] Reddy, J.N., Mechanics of Laminated Composite Plates and Shells – Theory and Analysis, CRC Press, \\n2nd Edition, 2004. \\n \\nSubject Code: CS420a Course Title Big Data Analytics \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Project/Quiz I (30%), Mid term (30%), End term (40%) \\nIntroduction: Introduction: Big Data Challenges [6L] \\nBig Data Collection: Data Cleaning and Integration, Hosted Data Platforms and the Cloud[6L] Big Data \\nStorage Modern Databases, Distributed Computing Platforms, NoSQL, NewSQL [10L] Big Data Systems: \\nCharacteristics of Big Data and Dimensions of Scalability, Multicore Scalability, Security, User Interfaces \\nfor Data[10L] \\nBig Data Analytics: Getting Value out of Big Data, Machine Learning Tools, Fast Algorithms, Data \\nCompression, Information Summarization [10L] \\nText/Reference books: \\n1. EMC education services, “Data Science and Big data analytics”, Willey India, 2015 \\n \\n2. Technical papers from major journals and major conferences on computing, networking, cloud \\ncomputing. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 102}, page_content='Subject Code: CS420b Course Title Principles of \\nProgramming Languages \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Term \\nAssignments (20%) \\nIntroduction, Programming Languages, Syntax, Grammar, Ambiguity, Syntax and Semantics, Data Types \\n(Primitive/Ordinal/Composite data types, Enumeration and sub-range types, Arrays and slices, Records, \\nUnions, Pointers and pointer problems) [10 H] Expressions, \\nType conversion, Implicit/Explicit conversion, type systems, expression evaluation, Control Structures\\n [5 H] \\nBinding and Types of Binding, Lifetime, Referencing Environment (Visibility, Local/Nonlocal/Global \\nvariables) , Scope (Scope rules, Referencing operations, Static/Dynamic scoping) [5 H] \\nSubprograms, signature, Types of Parameters, Formal/Actual parameters, Subprogram overloading, \\nParameter Passing Mechanisms, Aliasing, Eager/Normal -order/Lazy evaluation) , Subprogram \\nImplementation (Activation record, Static/Dynamic chain, Static chain method, Display method, \\nDeap/Shallow access, Su bprograms as parameters, Labels as parameters, Generic subprograms, \\nSeparate/Independent compilation) [12 H] \\nLogic Programming, Predicate calculus, Clausal form, Resolution, PROLOG programming language, Facts \\nand rules, Backtracking, Lists, Limitations of PROLOG) , Functional Programming (Lambda notation, \\nReferential transparency, Functional forms, LISP and SCHEME programming languages, S -expression, \\nDefine and Eval functions) [10 H] \\nText/Reference books: \\n1. Allen B. Tucker, Robert Noonan, Programming Languages: Principles and Paradigms, McGraw-\\nHill, 2006 \\n2. Bruce J. MacLennan, Principles of Programming Languages: Design, Evaluation, and \\nImplementation, 3rd Edition, Oxford University Press, 1999. \\n3. T.W.Pratt, M.V.Zelkowitz, Programming Languages, Design and Implementation, Prentice Hall, 4th \\nEdition, 2001 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 103}, page_content='Subject Code: CS420d Course Title Randomized \\nAlgorithms \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Project/Quiz I (30%), Mid term (30%), End term (40%) \\nTools and Techniques: Basic probability theory; randomized complexity theory; game-theoretic \\ntechniques; Markov, Chebyshev, and moment inequalities; limited independence; coupon collection and \\noccupancy problems; tail inequalities and Chernoff bounds; conditional expectation and martingales; \\nMarkov chains and random walks; stable distributions; probability amplification and derandomization.\\n [20L] \\nApplications: sorting and searching; data structures; combinatorial optimization and graph algorithms; \\ngeometric algorithms and linear programming; approximation and counting problems ; metric embedding; \\nonline and streaming algorithms; nearest neighbors, and clustering; number- \\ntheoretic algorithms. [22L] \\nText/Reference books: \\n1. Motwani and Raghavan. Randomized Algorithms, Cambridge University Press, 1995. \\n2. Mitzenmacher and Upfal. Probability and Computing: Randomized Algorithms and \\nProbabilistic Analysis, Cambridge University Press, 1995. \\n3. William Feller. An introduction to Probability Theory and Its Applications, Volumes I and II, John \\nWiley, New York, 1968. \\n4. Patrick Billingsley. Probability and Measure, John Wiley and Sons, 1986. \\n \\nSubject Code: EC421a Course Title CMOS Memory \\nSystem Design \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nIntroduction to SRAM memory [10H] \\nOverview, volatile memory, non -volatile memory, on -chip memory, on -chip memory types. Review of \\nCMOS circuit design, sensing circuitry basics, write circuitry and other peripheral circuities, refresh, \\nkickback, SRAM (Read and Write operation, 6T, 8T cell implementation etc.). \\nDRAM Memories [10H] \\nIntroduction to DRAM, High speed DRAM architectures, open and folded arrays organizations, bandwidth, \\nlatency, and cycle time, power, timing circuits. DRAM Cells read and write operations, issues and \\nchallenges related to destructive read operations. Peripheral circuitries, row and column decoders. \\nFLSAH Memories [10H] \\nOperation of FLASH memories (FLASH array sensing and programming), Charge Pump, PROM, EPROM, \\nEEROM, NAND and NOR flash memories. \\nEmerging Memories [10H] \\nEmerging devices for memories such as Memristor, and other memories (RRAM, PCRAM, STRAM etc) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 104}, page_content='Text/Reference books: \\n1. Semiconductor Memories: A Handbook of Design, Manufacture and Application, Betty Prince, \\nWiley, 2nd Edison, 1996. \\n2. DRAM Circuit Design: Fundamental and High-Speed Topics, Keeth, Baker, Johnson, and Lin, Wiley, \\nIEEE 2007. \\n3. CMOS Circuit Design, Layout, and Simulation, Jacob Baker, Wiley-IEEE, Third Edition, 2010. \\n4. Semiconductor Memories: Technology, Testing, and Reliability, Ashok K. Sharma, Wiley- IEEE, 2013. \\n \\nSubject Code: EC421c Course Title Optical \\nCommunication \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid-Term (30%), Quiz II (15%), End-Term (40%) \\nOptical Fibres: \\nIntroduction to Modern Communication Trends, Optical Fibres: Ray and mode theories, V number, \\ntypes of fibres, single mode, multimode, step and graded index fibres, attenuation and dispersion \\nissues, fibre fabrication methods [12H] Optical \\nSources: \\nParameters of Optical s ources for OFC, LED: direct and indirect band gap semiconductors, materials used \\nfor fabrication, fabrication techniques, Surface and edge emitting LEDs, Internal and External Quantum \\nEfficiency, Laser Diodes: Fabry Perot cavities, modes in LDs, fabricatio n process, VCSELs, Lasing equations\\n [10H] \\nOptical Detectors: \\nPhotodetectors, PIN diodes, APDs, Phototransistors, Fibre Optic Receivers: Receiver noise, Receiver \\nConfigurations, Sensitivity Issues, etc. [10H] \\nApplications: \\nDesign Considerations of an Optical Fibre Transmission System, \\nLink Budget Equations, Digital Link Design, modulation techniques, EDFA, Advanced FO \\nsystems: POF systems, Long haul and very high data rate systems, WDM, DWDM [8H] \\nText/Reference books: \\n1. Optical Fibre Communications, Gerd Keiser, TMH, 2008. \\n2. Optical Fibre Communications: Principles and Practice, John M Senior, Pearson education, 2009. \\n3. Introduction to Fibre Optics, Ajoy Ghatak and K. Thaygarajan, Cambridge university Press '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 105}, page_content='Subject Code: ME421c Course Title Quality, Reliability and \\nMaintenance \\nEngineering \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz (15%), Mid-sem (35%) and End-sem (50%) \\nQUALITY: Quality conception, quality of design, quality of conformance, cost of quality and value of \\nquality, quality objectives, role of Statistical Quality Control (SQC) for fulfilment of quality objectives; \\norganisation for quality factors influencing quality. In control process and out of control process, causes of \\ndeviations, chance causes and assignable causes. [8 H] \\nCONTROL CHARTS: General theory, charts for variables and standard deviation, fraction defectives \\nand number of defects per unit. Process capability studies, Non-conventional control charts. [09 hr] \\nACCEPTANCE SAMPLING: Elementary concepts, sampling by attributes, single and double sampling \\nplans, use of Dodge Roming and Military standard sampling tables, construction and use of O.C. curves, \\nintroduction to sampling by variates, continuous sampling plans. [8 H] \\nRELIABILITY: Introduction, failure rate curve, life testing, relationship between constant failure rate, mean \\nlife and other failure rates. O.C. curve for stipulated life; Producer and consumer risk in life testing, \\nsampling plans, MIL-STD procedures for failure sequential life testing plans. Reliability study \\nanalysis, synthesis of system reliability, design for reliability, measurement of reliability. [9 \\nH] \\nMAINTENACE ENGINEERING: Machine health monitoring, preventive and predictive maintenance; \\ncondition based maintenance; maintenance planning and scheduling; Application of latest techniques like \\nfibre optics, signature analysis, thermography in maintenance engineering; failure analysis of vital \\ncomponents like bearings; seals; gears etc; Maintenance strategies and computer aided maintenance. [8 \\nH] \\nText/Reference books: \\n1. Reliability and Maintenance Engineering by RC Mishra \\n2. J. M. Juran& Frank M. Gryna : Quality Planning and Analysis Tata McGraw-Hill \\n \\n \\nSubject Code: CS421a Course Title Image \\nReconstruction \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Mid term (30%), Quiz II (15%), End term (40%) \\nOne-dimensional signal processing, Fourier analysis, Line integrals and projections, Fourier slice theorem\\n [08 H] \\nReconstruction algorithms for parallel projections [07 H] \\nReconstruction algorithms for fan beam projections [07 H] \\nReconstruction algorithms for Cone beam projections geometries [10 H] \\nAlgebraic reconstruction algorithms [05 H] \\nOptimization based reconstruction algorithms [07 H] \\nText/Reference books: \\nG T Herman, “Image reconstruction from projections”, Springer-verlag, 2009 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 106}, page_content='Subject Code: CS421c Course Title Statistical Methods in \\nComputer Science \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme BTech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Assignments \\n(20%) \\nIntroduction to the probabilistic and statistical techniques used in modern computer systems. Basics of \\nprobability and statistical estimation. [10 H] \\nGraphical models, Mixture models and the EM algorithm, HMM, Kalman Filters, Bayesian Networks and \\nMarkov Networks, Variable elimination, junction trees and belief propagation [10 H] \\nSampling-based inference, Probabilistic inference, statistical learning, learning Bayesian network, \\nlearning Markov models. [10 H] \\nDecision theory, Markov decision processes. Applications of probabilistic and statistical techniques to \\nalgorithms, speech/image processing, robotics[12H] \\nReferences: \\n1. D. Koller & N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press \\n2. Mari, Jean-François and Schott, René, Probabilistic and Statistical Methods in Computer \\nScience Springer, 2001 \\n \\n \\nSubject Code: EC422a Course Title Nanophotonics and \\nPlasmonics \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (15%), Midterm (30%), Quiz II (15%), End term (40%) \\nIntroduction to Photonics: Electromagnetic waves; light; Maxwell equations; Wave equation; Modes, laser \\nsources, semiconductor quantum wells, photo detectors, quantum dots, nanowires, Dielectric optical \\nwaveguides, directional coupler, Machzehnder interferometer, Optical microresonators etc. [6 H] \\nPhotonic Crystals: Photonic bandgap (PGB). PBG structur es, wave propagation, Construction methods, \\nApplications: wave guides and photonic crystals fibres, optical microcavities, Photonic VLSI. [8 H] \\nNanophotonics in metals: Electromagnetics of Metals, Electromagnetic Wave Propagation, Dielectric \\nfunction and dispersion, Surface Plasmon polaritons, Single and multilayer systems, Exaction of surface \\nPlasmon, plasmonic waveguides and resonators, localized surface plasmons, Nanoantennas. Metamaterials \\nand Negative Index at Optical Frequencies, \\nTransmission through apertures and films: Theory of Diffraction by Sub-Wavelength Aperture, Extraordinary \\nTransmission, Directional Emission via Exit Surface Patterning, Localized Surface Plasmons and Light \\nTransmission Through Single Apertures, Emerging Applications of Extraordinary Transmission, \\nTransmission of Light Through a Film Without Apertures. [10 H] Simulation and Design: Optical \\nmicroresonators, guiding bending and splitting of light through \\nphotonic crystals, microcavity based MUX and DEMUX, photonic crystal fiber, plasmonic waveguides \\nand resonators, Nanoantennas, Extraordinary transmission, Bull’s eye structures, \\nMetamaterials. [12 H] \\nText/Reference books: \\n1. Fundamentals and Applications by Stefen A. Maer \\n2. Nanophotonics with Surface Plasmon by Vladimir M. Salaev \\n3. Photonic crystals:Molding the flow of light by J.D. Joannopoulos \\n4. Integrated Photonics: fundamentals by G. Lifante '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 107}, page_content='Subject Code: EC422b Course Title Application of Signal \\nand Image Processing \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (12.5%), Mid term (25%), Quiz II (12.5%), End term (50%) \\nECG: Cardiac electrophysiology, relation of electrocardiogram (ECG) components to cardiac events, \\nclinical applications. [6 H] \\nSpeech Signals: The source-filter model of speech production,spectrographic analysis of speech. \\n[6 H] \\nSpeech Coding: Analysis-synthesis systems, channel vocoders, linear prediction of speech, linear prediction \\nvocoders. [5 H] \\nImaging Modalities: Survey of major modalities for medical imaging: ultrasound, X-ray, CT, MRI, PET, and \\nSPECT. [5 H] \\nMRI: Physics and signal processing for magnetic resonance imaging. [5 H] Surgical \\nApplications: A survey of surgical applications of medical image processing. Image Segmentation: \\nstatistical classification, morphological operators, connected components. [5 H] Application of Signal and \\nImage Processing in power and control systems and mobile robot using \\nphysiological signals. [10H] \\nText/Reference books: \\n1. Oppenheim, A. V., and R. W. Schafer, with J. R. Buck. Discrete-Time Signal Processing. 2nd ed. \\nUpper Saddle River, NJ: Prentice-Hall, 1999. ISBN: 9780137549207. \\n2. Karu, Z. Z. Signals and Systems Made Ridiculously Simple. Huntsville, AL: ZiZi Press, 1995. ISBN: \\n9780964375215. \\n3. Duda, R., and P. Hart. Pattern Classification and Scene Analysis. New York, NY: John Wiley & \\nSons, 1973. ISBN: 9780471223610. \\n4. Clifford, G., F. Azuajae, and P. McSharry. Advanced Methods and Tools for ECG Data Analysis. \\nNorwood, MA: Artech House, 2006. ISBN: 9871580539661. \\n5. Rabiner, L. R., and R. W. Schafer. Digital Processing of Speech Signals. Upper Saddle River, NJ: \\nPrentice-Hall, 1978. ISBN: 9780132136037. \\n6. Lim, J. S. Two-Dimensional Signal and Image Processing. Upper Saddle River, NJ: Prentice Hall, 1989. \\nISBN: 9780139353222. \\n7. Gonzalez, R., and R. E. Woods. Digital Image Processing. 2nd ed. Upper Saddle River, NJ: \\nPrentice-Hall, 2002. ISBN: 9780201180756. \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 108}, page_content=' \\n \\nSubject Code: CS422a Course Title Natural Language \\nProcessing \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Project (20%) \\nBasic Text Processing, Regular expression, sentence segmentation, word stemming. [2] \\nLanguage modeling problem, Hidden Markov models, N-gram models, parameter estimation, model \\nevaluation, perplexity, smoothing. [5] \\nText classification, Naïve Bayes and multinomial Naïve Bayes, Evaluation, Sentiment Analysis [5] POS \\nTagging problems, Viterbi Algorithm for HMM, NER. [5] The \\nparsing problem, CFG and Probabilistic context-free grammars (PCFG), CKY Parsing algorithm, weaknesses \\nof PCFGs, Lexicalized PCFG, [5] \\nInformation Retrieval, Term-Document Incidence Matrices, The Inverted Index, Introducing Ranked \\nRetrieval, Term Frequency Weighting, Inverse Document Frequency Weighting (10:16) , TF-IDF Weighting.\\n [8] \\nLog-linear models, and their application to NLP problems like tagging, parsing [10] \\nUnsupervised and semi-supervised learning in NLP. [2] \\nText/Reference books: \\n1. Jurafsky and Martin, Speech and Language Processing 2nd Edition, Prentice Hall \\n2. Chris Manning and Hinrich Schütze, Foundations of Statistical Natural Language \\nProcessing, MIT Press. Cambridge, MA: May 1999. \\n \\n \\nSubject Code: CS422b Course Title Visual Cryptography \\n& Data Hiding \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Project (20%) \\nIntroduction, Visual Secret Sharing (VSS), Definition and construction. Naor and Shamir’s (k,n) VSS, Proof of \\ncorrectness, Contrast and pixel expansion. Contrast bounds. [10 H] Visual \\nCryptography for multiple secrets, XOR based Visual Cryptography, Chaotic map based techniques, Colour \\nimage VSS. [10 H] \\nData hiding schemes, Characteristics of data hiding schemes: Security, Payload, Imperceptibility, Reversible \\ndata hiding schemes, Random grid based methods. [12 H] Data \\nHiding Applications: Watermarking, Basic of watermarking schemes, Watermarking in images, audios and \\nvideos. [10 H] \\nText/Reference books: \\n1. M. T. Raggo and C. Hosmer, Data Hiding: Exposing Concealed Data in Multimedia, Operating \\nSystems, Mobile Devices and Network Protocols, Elsevier, 2012. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\B.Tech_B.Des Syllabus.pdf', 'page': 109}, page_content=\"Subject Code: CS422c Course Title Model Thinking \\nContact Hours L- 3 T- 0 P- 0 Credit 4 \\nProgramme B.Tech Semester VIII \\nPre-requisites NIL \\nEvaluation scheme Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Assignment (20%) \\nWhy Model & Segregation/Peer Effects, Aggregation & Decision Models, Thinking Electrons: Modeling \\nPeople & Categorical and Linear Models [10 H] \\nTipping Points & Economic Growth, Diversity and Innovation & Markov Processes, Lyapunov Functions \\n& Coordination and Culture [10 H] \\nPath Dependence & Networks, Randomness and Random Walks & Colonel Blotto, Prisoners' Dilemma \\nand Collective Action & Mechanism Design [12 H] \\nLearning Models: Replicator Dynamics & Prediction and the Many Model Thinker [10 H] \\nText/Reference books: \\n1. Mikael Krogerus, Roman Tschäppeler, Jenny Piening, Philip Earnhart, The Decision Book - 50 Models \\nfor Strategic Thinking, W. W. Norton & Company, 2012 \\n2. Alexander Osterwalder and Yves Pigneur, Business Model Generation: A Handbook for \\nVisionaries, Game Changers, and Challengers, Wiley, 2010. \\n3. Mikael Krogerus and Roman Tschäppeler, The Change Book: Fifty models to explain how \\nthings happen, Profile Books Ltd, Jan 2013 \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\bus time table Detailed.pdf', 'page': 0}, page_content='IIITDMJ Bus Time Table \\n(Monday to Friday) Date -17/10/2024 \\nBus No. 1 (MP20 ZL1297) Bus No. 2 (MP20 PA6297) \\nFrom To Out Time Purpose From To Out Time Purpose \\nInstitute Sadar 03:30 PM Institute Sadar 03:00 PM \\nSadar Institute 04:30 PM Sadar Institute 03:45 PM \\nInstitute Gadheri & Return 05:15-05:30 PM Jagriti Institute Kakartala 04:40 PM Jagriti Institute Sadar 06:00PM Kakartala Institute 05:00PM \\nSadar Institute 07:00 PM Institute Sadar 05:30 PM \\nInstitute Gadheri & Return 07:35-08:00 PM Jagriti Sadar Institute 06:30 PM \\nInstitute Sadar 08:45 PM Institute Kakartala 07:20 PM \\nJagriti \\nSadar Institute 09:30 PM Last Bus1 Kakartala Institute 07:40 PM \\nBus1 Conductor: 9301186847 (Mr. Manoj K. Mehra) Institute Sadar 08:15 PM \\nBus2 Conductor: 9826346178 (Mr. Tilak Singh) Sadar Institute 09:00PM Last Bus2 \\n(Saturday & Sunday) \\n03:30 PM (Bus 1) Institute to Sadar Via Russel Chowk 03:00 PM (Bus 2) Institute to Sadar Via Russel Chowk \\n06:00 PM (Bus 1) Sadar to Institute. 04:30 PM (Bus 2) Sadar to Institute \\n06:30 PM (Bus 1) Institute to Sadar 05:30 PM (Bus 2) Institute to Sadar \\n09:15 PM (Bus 1) Sadar to Institute Via Russel Chowk (Last Bus 1) 07:30 PM (Bus 2) Sadar to Institute Via Russel Chowk \\n 08:50 PM (Bus 2) Institute to Sadar \\n 09:30 PM (Bus 2) Sadar to Institute (Last Bus-2) \\nGuidelines for IIITDM Bus Services: \\n1. Everyone should behave properly with the bus driver and conductor, no offensive language would be tolerated, STRICT action will be taken against the violator. \\n2. Students are advised to take the tickets prior to their journey. Tickets will be distributed from 01:30 PM to 03:00 PM at Central Mess (One student two tickets max). \\n3. At present only Cash Payment is Allowed. Tickets will be distributed on \"first - come, first-serve\" basis. \\n4. For the Institute faculty, staff and their family members 08 seats are reserved (in every bus). \\n5. Institute Bus will be available for pick up, provided there should be at least 03 students. \\n6. Number of traveller in the new trip may be reviewed by Transport Services Committee (TSC) for further extension of the trip. \\n7. While returning from the city, priority will be given to those students who have travelled by Bus from the Institute. If seats are vacant then only other students will be allowed to Board. \\n8. Institute bus running for school going children could also be extended for IIIT students (only limited seats) and to avail this facility they should take tickets one day prior to the journey. \\nTime may vary according to the schedule of schools without prior information. \\n9. In case of a change of strength of Jagrati students, Jagrati club in charge must inform the General Administration office. \\n10.There will be changes in the bus time-table during the institute vacation by TSC. \\n11. Standing on the bus will not be allowed. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Course list for Sem-I, 2024-25 (UG).pdf', 'page': 0}, page_content='Course Code Course Name L-T-P-C Offered By \\nDiscipline Instructor No. of register students Remarks\\nNS1001 Mathematics-I (4 Sections) 3-1-0-4 NS SSL+LKB+NKM+DM Common for all\\nNS1002 Engineering Mechanics (4 Sections) 2-1-2-4 NS ACM+NRJ+NKJ+AKK Common for all\\nHS1001 Effective Communications (4 Sections) 1-2-0-2 LA MA- Batch C,D,E \\nJAMF- Batch- A& B Common for all\\nIT1001 Introduction to Programming In C 02 Batches 2-0-3-3 CSE YTD +\\nMr. Aditya Sharma-Lab only for CSE\\nIT1002 Introduction to Programming In Python 2-0-3-3 ECE AV only for ECE\\nIT1002 Introduction to Programming In Python (02 Batches) 2-0-3-3 ME SKC+RP [Lab: SKC+RP] Common for ME, SM and DS\\nES1002 Fundamentals of Electrical and Electronics Engineering3-0-2-4 ECE PKP+PR only for CSE\\nDS1005 Engineering Graphics (02 Batches) 2-0-3-3 ME MKT+SGM [Lab: MKT+SGM+PSK+ARR] Common for ECE,ME,SM and DS\\nCS1001 Introduction to Profession (02 Batches) 1-0-0-1 CSE VKJ Common for CSE\\nEC1001 Introduction to Profession 1-0-0-1 ECE PNK Common for ECE\\nME1001 Introduction to Profession 1-0-0-1 ME MZA Common for ME\\nSM1001 Introduction to Profession 1-0-0-1 ME MZA Common for SM\\nCourse Code Course Name L-T-P-C Offered By \\nDiscipline Instructor No. of register students\\nDS1002 Design Fundamentals 1 2-0-2-3 DS PM Common for Design\\nDS1003 Design Drawing 1-0-3-2 DS VF Common for Design\\nDS1004 Representation Technique 2-0-2-3 DS VF Common for Design\\nDS1005 Engineering Graphics (02 Batches) 2-0-3-3 ME MKT+SGM [Lab: MKT+SGM+PSK+ARR] Common for ECE,ME,SM and DS\\nHS1001 Effective Communications (4 Sections) 1-2-0-2 LA MA- Batch C,D,E \\nJAMF- Batch- A& B Common for all\\nIT1002 Introduction to Programming In Python (02 Batches) 2-0-3-3 ME SKC+RP [Lab: SKC+RP] Common for ME, SM and DS\\nDS1001 Introduction to Profession 1-0-0-1 DS PM Common for Design\\nES1003 Innovation Theory and Practice 1-0-2-2 IA To be checked with IIC & PCC\\nPC1001 Professional Development Course 1-0-0-1PLACEMENT To be given by Placement\\nCourse Code Course Name L-T-P-C Offered By \\nDiscipline Pre-requisites for Elective courses Instructor No. of register students\\nNS2001 Biology for Engineers 2-0-0-2 LA 282 For CSE only\\nIT2001 Data Structure in C (02 Batches) 3-0-2-4 CSE SKM 282 For CSE only\\nIT2002 Data Structure in Python 3-0-2-4 ECE VF 141 Common for ECE\\nIT2002 Data Structure in Python 3-0-2-4ME, SM & DS VF 177 Common for ME, SM & DS\\nDC1 (Discipline Core 1)\\nCS2002 Computer Organization and Architecture (02 Batches) 3-0-0-3CSE YTD 287 Common for CSE\\nEC2002 Digital Electronics and Microprocessor Interfacing 3-0-2-4 ECE SKJ 141 Common for ECE\\nME2002 Manufacturing Process 3-0-2-4 ME HSN 66 Common for ME & SM\\nSM2002 Manufacturing Process 3-0-2-4 SM PT 57 Common for ME & SM\\nDC2 (Discipline Core 2)\\nCS2003 Database Management Systems (02 Batches) 3-0-2-4 CSE PK 287 Common for CSE\\nEC203a Principle of Analog Communications 2-0-0-2 ECE ST 141 Common for ECE\\nEC203b Network Theory (Analysis and Synthesis) 2-0-0-2 ECE MSP 141 Common for ECE\\nME2003 Solid Mechanics 2-2-2-4 ME VKG 66 Common for ME\\nSM2003 Solid Mechanics + Design of Mechanical Components 3-1-2-4SM SDP 57 Common for SM\\nDC3 (Discipline Core 3)\\nCS2004 Introduction to Data Science 02 Batches 3-0-2-4 CSE YTD 287 Common for CSE\\nEC204a Electronics Devices and Circuits 2-0-0-2 ECE TK 141 Common for ECE\\nEC204b Instrumentation and Measurement 2-0-0-2 ECE PS 141 Common for ECE\\nME2004 Engineering Thermodynamics 3-2-0-4 ME PSK 66 Common for ME\\nSM2004 Engineering Thermodynamics + Heat Transfer 3-1-0-4 SM TC 57 Common for SM\\nOE1 (Choose any one course from below electives)\\nOE2C09 Discrete Structures 3-0-0-3 CSE Pre-requisites is not required AO 120 Open for all \\nOE2E01 Introduction to Sensors and Actuators 3-0-0-3 ECE Pre-requisites is not required KD 90 Open for all \\nOE2E03 Fundamentals of Signals and Systems 3-0-0-3 ECE Pre-requisites is not required AK 44 Open for all \\nOE2M07 Operations Research 3-0-0-3 ME Pre-requisites is not required SKC 62 Open for all \\nOE2M09 Probablistic Approaches to Machine Learning 3-0-0-3 SM Pre-requisites is not required SA 90 Open for all \\nOE2N12 Numerical Methods for Engineers 3-0-0-3 NS Pre-requisites is not required MKP 78 Open for all \\nOE2N13 Semiconductor Optoelectronic Devices 3-0-0-3 NS Pre-requisites is not required YSK 35 Open for all \\nOE2D14 SCIENCE AND CULTURE - A COMPARISON 3-0-0-3 English/LA Pre-requisites is not required MA 90 Open for all \\nIT workshop I \\nIT2C01 IT workshop I 0-0-3-2 CSE YTD 287 Common for CSE\\nIT2E01 IT workshop I 0-0-3-2 ECE AV 141 Common for ECE\\nIT2M01 IT workshop I 0-0-3-2 ME DSR 66 Common for ME\\nIT2S01 IT workshop I 0-0-3-2 ME DSR 57 Common for SM\\nCourse Code Course Name L-T-P-C Offered By \\nDiscipline Pre-requisites for Elective courses Instructor No. of register students\\nDS2005 Studies in Form 2-0-2-3 DS VF 57 only for B.Des\\nDS2006 Industrial Design 1 2-0-2-3 DS VF 57 only for B.Des\\nDS2007 Communication Design 1 2-0-2-3 DS TSG 57 only for B.Des\\nDS2008 Design Project 1 0-0-6-3 DS Guide 57 only for B.Des\\nDS2010 Material and Processes 2-0-2-3 DS VF 57 only for B.Des\\nDetails of Courses for Semester-I, 2024-25 (UG)\\n B.Tech Semester-I\\nB.Des Semester-I\\nYear Long Courses (common for B.Des. and B.Tech.)\\nB.Tech Semester III\\nB.Des Semester-III'),\n", " Document(metadata={'source': 'IIITDMJ\\\\Course list for Sem-I, 2024-25 (UG).pdf', 'page': 1}, page_content='OE1 (Choose any one course from below electives)\\nOE2C09 Discrete Structures 3-0-0-3 CSE Pre-requisites is not required AO 120 Open for all \\nOE2E01 Introduction to Sensors and Actuators 3-0-0-3 ECE Pre-requisites is not required KD 90 Open for all \\nOE2E03 Fundamentals of Signals and Systems 3-0-0-3 ECE Pre-requisites is not required AK 44 Open for all \\nOE2M07 Operations Research 3-0-0-3 ME Pre-requisites is not required SKC 62 Open for all \\nOE2M09 Probablistic Approaches to Machine Learning 3-0-0-3 SM Pre-requisites is not required SA 90 Open for all \\nOE2N12 Numerical Methods for Engineers 3-0-0-3 NS Pre-requisites is not required MKP 77 Open for all \\nOE2N13 Semiconductor Optoelectronic Devices 3-0-0-3 NS Pre-requisites is not required YSK 35 Open for all \\nOE2D14 SCIENCE AND CULTURE - A COMPARISON 3-0-0-3 English/LA Pre-requisites is not required MA 90 Open for all \\nPR2002 Discipline Project 0-0-0-2 Specific to Discipline\\nPC2002 Professional Development Course 1-0-0-1 Placement To be given by Placement\\nCourse Code Course Name L-T-P-C Offered By \\nDiscipline Pre-requisites for Elective courses Instructor No. of register students\\nHS3004 Ecology & Environment Science 2-0-0-2 LA 281 CSE Only\\nDS3001 Engineering Design –Including Design and Fabrication Project1-0-6-4 597 Common for all\\nDC8 (Discipline Core 8)\\nCS3009 Network Security & Cryptography (02 Batches) 3-0-0-3 CSE YTD 281 Common for CSE\\nEC3009 VLSI System Design (VLSI IC desien, logic synthesis using VHDL)3-0-0-3 ECE PR 140 Common for ECE\\nME3009 Design of Mechanical Components 2-2-0-3 ME KP 57 Common for ME\\nSM3009 Additive and Subtractive Manufacturing Processes 2-0-2-3 SM KP 61 Common for SM\\nDC9 (Discipline Core 9)\\nCS3010 Software Engineering (02 Batches) 3-0-2-4 CSE AG 281 Common for CSE\\nEC3010 Fundamentals of Electromagnetic Theory 3-0-0-3 ECE DKV 140 Common for ECE\\nME3010 Industrial Internet of Things 2-0-2-3 ME MZA 57 Common for ME\\nSM3010 Computer Aided Product Development 2-0-2-3 SM ARR 61 Common for SM\\nDC10 (Discipline Core 10)\\nCS3011 Artificial Intelligence (02 Batches) 3-0-0-3 CSE DS 281 Common for CSE\\nEC3011 Digital Communications 3-0-0-3 ECE MDB 140 Common for ECE\\nME3011 Heat Transfer 3-0-2-4 ME TC 57 Common for ME\\nSM3011 Industrial Automation 2-0-2-3 SM TS 61 Common for SM\\nDC11 (Discipline Core 11)\\nSM3012 Advanced Cyber Physical System 2-0-2-3 ME SKS 61 Common for SM\\nCS8028 Hardware Security (02 Batches) 3-0-0-3 CSE CS2002 - Computer Organization and \\nArchitecture VSR 254 Those who have done pre-requisites\\nOE3E40 Computation Genomic & Proteomic 3-0-0-3 ECE MATLAB/C++/Python and Biology for \\nEngineers SNS 90 Those who have done pre-requisites\\nOE4E50 Detection and Estimation Theory 3-0-0-3 ECE (OE2E02)Probability and random Process ST 44 Those who have done pre-requisites\\nOE3M26 Computer-Aided Design (CAD) 3-0-0-3 ME ME2002/SM2002 MS 13 Those who have done pre-requisites\\nOE4M23 Business Analytics using R 3-0-0-3 SM ME2007/SM2007/OE2M07 SA 82 Those who have done pre-requisites\\nOE3N36 Probability and Statistics 3-0-0-3 NS Only for ECE, ME & SM Discipline BG 44 Those who have done pre-requisites\\nOE3D16 Visual Ergonomics 2-0-2-3 DS DS1002- Design Fundamentals 1 and \\nDS1006 - Design Fundamentals II PM 58 Those who have done pre-requisites\\nIT workshop III\\nIT3C01 IT workshop III 0-0-3-2 CSE Mr. Aditya Sharma 281\\nIT3E01 IT workshop III 0-0-3-2 ECE KD 140\\nIT3M01 IT workshop III 0-0-3-2 ME AKS 57\\nIT3S01 IT workshop III 0-0-3-2 ME AKS 61\\nCourse Code Course Name L-T-P-C Offered By \\nDiscipline Pre-requisites for Elective courses Instructor No. of register students\\nDS3001 Engineering Design –Including Design and Fabrication Project1-0-6-4 Not \\nApplicable 597 Common for all\\nDS3009 Service Design 2-0-2-3 DS SP 58\\nDS3010 Sustainable Design 2-0-2-3 DS AB 58\\nDS3011 Design Management 2-0-2-3 DS VF 58\\nDS3012 Design Project 4 (compulsory) 0-0-6-3 DS GUIDE 58\\nCS8028 Hardware Security (02 Batches) 3-0-0-3 CSE CS2002 - Computer Organization and \\nArchitecture VSR 254 Those who have done pre-requisites\\nOE3E40 Computation Genomic & Proteomic 3-0-0-3 ECE MATLAB/C++/Python and Biology for \\nEngineers SNS 90 Those who have done pre-requisites\\nOE4E50 Detection and Estimation Theory 3-0-0-3 ECE (OE2E02)Probability and random Process ST 44 Those who have done pre-requisites\\nOE3M26 Computer-Aided Design (CAD) 3-0-0-3 ME ME2002/SM2002 MS 15 Those who have done pre-requisites\\nOE4M23 Business Analytics using R 3-0-0-3 SM ME2007/SM2007/OE2M07 SA 82 Those who have done pre-requisites\\nOE3N36 Probability and Statistics 3-0-0-3 NS Only for ECE, ME & SM Discipline BG 44 Those who have done pre-requisites\\nOE3D16 Visual Ergonomics 2-0-2-3 DS DS1002- Design Fundamentals 1 and \\nDS1006 - Design Fundamentals II PM 58 Those who have done pre-requisites\\nPR3003 Optional Project 0-0-0-2 Optional specific to discipline\\nPC3003 Professional Development Course 1-0-0-1 Placement Common for all\\nCourse Code Course Name L-T-P-C Offered By \\nDiscipline Pre-requisites for Elective courses Instructor No. of register students\\nCS8016 Cloud Computing (02 Batches) 3-0-0-3 CSE CS2008-Computer Networks MS 242 Those who have done pre-requisites\\nEC8033 Radio Frequency Integrated Circuits Design 3-0-0-3 ECE EC3010 - Fundamentals of Electromagnetic \\nTheory MSP 85 Those who have done pre-requisites\\nYear Long Courses (common for B.Des. and B.Tech.)\\n B.Tech Semester V\\nOE3 (Choose any one course from below elective)\\nB.Des Semester-V\\nOE3 (Choose any one course from below elective)\\nYear Long Courses (Commonfor B.Des. and B.Tech.)\\nB.Tech Semester VII\\nOE07 (Choose any one course from below elective)'),\n", " Document(metadata={'source': 'IIITDMJ\\\\Course list for Sem-I, 2024-25 (UG).pdf', 'page': 2}, page_content='EC8029 Advanced Digital Filter Design 3-0-0-3 ECE EC2005 - Digital Signal Processing AK 39 Those who have done pre-requisites\\nOE4M75 Fundamentals of Tribology & Rheology 3-0-0-3 ME ME2003/SM2003 MKT 36 Those who have done pre-requisites\\nMT5003 Advance in Sensors and Actuators 3-0-0-3 MT ME3010/SM3010 MS 52 Those who have done pre-requisites\\nME5D03 Finite Element Methods for Mechanical Engineering 3-0-0-3 ME ME2003/SM2003 SDP 15 Those who have done pre-requisites\\nCS8031 Cyber Security (02 Batches) 2-0-2-3 CSE\\nCS2008 - Computer Networks and\\n CS2002 - Computer Organization and \\nArchitecture\\nND 242 Those who have done pre-requisites\\nOE4E25 Advance Antenna Theory Design 3-0-0-3 ECE EC3010 - Fundamentals of Electromagnetic \\nTheory TK 40 Those who have done pre-requisites\\nEC8030 CMOS Memory Design 3-0-0-3 ECE EC2008 - Analog integrated Circuit KD 84 Those who have done pre-requisites\\nOE4M76 Digital Twins in Manufacturing 3-0-0-3 SM ME3010/SM3010 SKS 21 Those who have done pre-requisites\\nME5D02 Mechanical Vibrations and Condition Monitoring 3-0-0-3 ME ME2003/SM2003 AM 21 Those who have done pre-requisites\\nOE4M35 Advanced Manufacturing Processes and Technologies 3-0-0-3ME ME2002/SM2002 RP 61 Those who have done pre-requisites\\nCS8018 Web Mining 3-0-0-3 CSE Pre-requisites is not required ACP 119 Open for all \\nCS8013 Mobile and Wireless Networks 3-0-0-3 CSE Pre-requisites is not required VKJ 71 Open for all \\nEC8004 Pattern Recognition and Machine Learning 3-0-0-3 ECE Pre-requisites is not required AV 27 Open for all \\nOE4E69 Optical Communication 3-0-0-3 ECE Pre-requisites is not required DKV 47 Open for all \\nME8016 Biomaterials Science and Engineering 3-0-0-3 ME Pre-requisites is not required HSN 90 Open for all \\nOE4M52 Rapid Product Development Technologies 3-0-0-3 ME Pre-requisites is not required PKJ 90 Open for all \\nOE4N77 Neno technology for Engineers 3-0-0-3 NS Pre-requisites is not required MKR 23 Open for all \\nCS8032 Soft Computing 3-0-0-3 CSE Pre-requisites is not required AS 119 Open for all \\nCS8004 Deep Learning and Applications 2-0-2-3 CSE Pre-requisites is not required AO 89 Open for all \\nEC8006 Photovoltaics: Fundamentals and Applications 3-0-0-3 ECE Pre-requisites is not required DPS 88 Open for all \\nOE4M22 Industrial Instrumentation & Metrology 3-0-0-3 ME Pre-requisites is not required CD 43 Open for all \\nME8010 MEMS: Microfabrication and Application 3-0-0-3 ME Pre-requisites is not required MZA 38 Open for all \\nOE4L73 LIFE SKILLS MANAGEMENT 3-1-0-3 English/LA Pre-requisites is not required JAMF 90 Open for all \\nCS8007 Social Network Analysis 2-0-2-3 CSE Pre-requisites is not required ACP 120 Open for all \\nCS8025 Fuzzy Sets, Logic and Applications 3-0-0-3 CSE Pre-requisites is not required AS 120 Open for all \\nNEW Wireless Communications 3-0-0-3 ECE Pre-requisites is not required MDB 46 Open for all \\nEC5N01 Physics of Semiconductor Devices 3-0-0-3 ECE Pre-requisites is not required PNK 41 Open for all \\nME5C01 Computer Aided Geometric Design 3-0-0-3 ME Pre-requisites is not required PKJ 18 Open for all \\nME8002 Design for Experiments 3-0-0-3 ME Pre-requisites is not required CD 45 Open for all \\nOE4M74 AI and ML for Engineering 3-0-0-3 SM Pre-requisites is not required VKG 77 Open for all \\nCourse Code Course Name Credit Offered By \\nDiscipline Instructor\\nDS4013 Design Seminar I 3 DS GUIDE 46\\nDS4014 Design Thesis II 14 DS GUIDE 46\\nPC4004 Professional Development Course 1-0-0-1Placement Common for all\\nDC Discipline Core (All students of that discipline should register for the course)\\nThose who have already done the course can not take the course\\nThe Senate has decided a batch size\\nType Batch Size (no. of Maximum students)\\nTheory 125\\nLab (experimental) 30\\nLab (simulations) 60\\n Accordingly the number of batches and instructors to be decided. \\nOffer by CSE Discipline 120\\nOffer by ECE Discipline 90\\nOffer by ME Discipline 90\\nOffer by SM Discipline 90\\nOffer by DS Discipline 90\\nElective Course \\nLimit\\nOE10 (Choose any one course from below elective)\\nOE08 (Choose any one course from below elective)\\nOE09 (Choose any one course from below elective)\\nOE11 (Choose any one course from below elective)\\nB.Des Semester-VII\\nYear Long Courses (Common for B.Des. and B.Tech.)'),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 0}, page_content=' \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nComputer Science & Engineering \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 1}, page_content='1 \\n \\nM.Tech Curriculum \\n \\nSEMESTER-I \\nCourses Credits \\n17-20 credits \\nProfessional and \\nCommunication Skill** \\n2 (S or X) 1-0-2-2 \\nCore 4 3-0-0-4 \\nCore 4 or 5(if Lab attached) 3-0-0-4 or 3-0-2-5 \\nCore / Elective 4 3-0-0-4 \\nCore / Elective 4 3-0-0-4 \\nLab1*/ lab attached to a \\ncourse \\n*2/ attached with \\ncourse \\n0-0-2-2 \\nSEMESTER-II \\nCourses Credits \\n17-20 credits \\nCore / Elective 4 or 5(if Lab attached) 3-0-0-4 or 3-0-2-5 \\nElective 4 3-0-0-4 \\nElective 4 3-0-0-4 \\nElective or thesis credit 4 3-0-0-4 \\nLab1/ lab attached to a \\ncourse \\n*2/ attached with \\ncourse \\n0-0-2-2 \\nSEMESTER-III \\nCourses Credits \\n18 Thesis Credit 16 16 \\nGraduate Seminar I 2 2 \\nSEMESTER-IV \\nCourses Credits \\n18 Thesis Credit 16 16 \\nGraduate Seminar II 2 2 \\n \\n* Either lab will be attached to a core course or separate lab will be conducted \\n** The course can be floated either in 1st or 2nd Semester \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 2}, page_content='2 \\n \\nM.TECH. IN COMPUTER SCIENCE ENGINEERING (CSE) \\n \\nSemester I \\nSl. No Course No Course Title Credits \\n1. HS501(Core) Professional and Communication Skills 1-0-2-2 \\n2. CS531(Core) Mathematical Foundations of Computer Science 3-0-0-4 \\n3. CS532(Core) Algorithms 3-0-2-5 \\n4. Elective I - 3-0-0-4 \\n5. Elective II - 3-0-0-4 \\n6. CS532L Lab Attached with CS532(Core) \\nSemester II \\n1. Elective III - 3-0-0-4 \\n2. Elective IV - 3-0-0-4 \\n3. Elective V - 3-0-0-4 \\n4. CS699 M.Tech Thesis 4 \\n5. CS533 Lab 2 (Data Analytics Lab) 0-0-2-2 \\nSemester III \\n1. CS598 Graduate Seminar I 2 \\n2. CS699 M.Tech Thesis 16 \\nSemester IV \\n1. CS599 Graduate Seminar II 2 \\n2. CS699 M.Tech Thesis 16 \\n \\nElectives \\n1. CS534 Research Methods in Computer Science 3-0-0-4 \\n2. CS601 Game Theory and Networks 3-0-0-4 \\n3. CS602 Social Network Analysis 3-0-0-4 \\n4. CS603 Queueing Theory 3-0-0-4 \\n5. CS604 Model Thinking 3-0-0-4 \\n6. CS608 Mobile and Wireless Networks 3-0-0-4 \\n7. CS609 Wireless Sensor Networks 3-0-0-4 \\n8. CS615 Machine Learning 3-0-0-4 \\n9. CS616 Pattern Recognition 3-0-0-4 \\n10. CS617 Basics of Deep Learning 3-0-0-4 \\n11. CS618 Soft Computing 3-0-0-4 \\n12. CS619 Data Mining and Data Warehousing 3-0-0-4 \\n13. CS620 Natural Language Processing 3-0-0-4 \\n14. CS621 Image Processing 3-0-0-4 \\n15. CS622 Computer Vision 3-0-0-4 \\n16. CS623 Multimedia Processing 3-0-0-4 \\n17. CS624 Medical Image Processing 3-0-0-4 \\n18. CS625 Biometric Technologies and Applications 3-0-0-4 \\n19. CS626 Content Based Image Retrieval 3-0-0-4 \\n20. CS627 Image Reconstruction 3-0-0-4 \\n21. CS631 Parallel Algorithms 3-0-0-4 \\n22. CS632 Advanced Algorithms 3-0-0-4 \\n23. CS633 Approximation Algorithms 3-0-0-4 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 3}, page_content='3 \\n \\n24. CS634 Randomized Algorithms 3-0-0-4 \\n25. CS635 Computational Geometry 3-0-0-4 \\n26. CS636 Optimization Theory and Applications 3-0-0-4 \\n27. CS637 Mesh Free Computations 3-0-0-4 \\n28. CS641 Principles of Programming Languages 3-0-0-4 \\n29. CS642 Object Oriented Analysis and Design 3-0-0-4 \\n30. CS651 Fuzzy Sets, Logic and Applications 3-0-0-4 \\n31. CS652 Statistical Methods in Computer Science 3-0-0-4 \\n32. CS653 Artificial Intelligence 3-0-0-4 \\n33. CS654 Big Data Analytics 3-0-0-4 \\n34. CS655 Cloud Computing 3-0-0-4 \\n35. CS656 Basic of Bioinformatics 3-0-0-4 \\n36. CS671 Quantitative Methods in Software Engineering 3-0-0-4 \\n37. CS672 Software Testing and Quality Assurance 3-0-0-4 \\n38. CS673 Human Computer Interaction 3-0-0-4 \\n39. CS674 Distributed Systems 3-0-0-4 \\n40. CS681 Coding Theory 3-0-0-4 \\n41. CS682 Cyber Security 3-0-0-4 \\n42. CS683 Visual Cryptography and Data Hiding 3-0-0-4 \\n43. CS684 Cryptography and Network Security 3-0-0-4 \\n44. CS691 Advanced Computer Architecture 3-0-0-4 \\n \\nElectives in Modular form \\n1. EM601a Advanced Topics in Computer Architecture 2-0-0-2 \\n2. EM601d Parallel Processing 1-0-0-1 \\n3. EM601h Dependable Computing 1-0-01 \\n4. EM602d Artificial Intelligence and its Applications 1-0-0-1 \\n5. EM602e Bayesian Classifiers 2-0-0-2 \\n6. EM605f Coding Theory 1-0-0-1 \\n7. EM605h Network Flow Optimization 2-0-0-2 \\n8. EM605i External Memory Algorithms 2-0-0-2 \\n9. EM607a Design of Extensible Application in Java 1-0-0-1 \\n10. EM608a Modelling and Simulation 1-0-0-1 \\n11. EM608b Graphical Models 2-0-0-2 \\n12. EM609b Public Key Cryptography 1-0-0-1 \\n13. EM609c Speech and Music Signal Processing 1-0-0-1 \\n14. EM609e Cyber Security 1-0-0-1 \\n15. EM609g Computational Number Theory and Cryptography 2-0-0-2 \\n16. EM609h Elementary Number Theory 2-0-0-2 \\n17. EM668g Software Quality Assurance 1-0-0-1 \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 4}, page_content=\"4 \\n \\n \\nCourse Title : Mathematical Foundations of Computer Science \\nCourse Code : CS531 Course Type : Core \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : MTech/PhD \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : After reading this course the student gains competence in mathematical \\nconcepts frequently used in computer science applications. \\n \\nCourse Details: \\nModule 1: Review of sets, functions, relations. Number theory: division algorithm, Euclid's algorithm, \\nfundamental theorem of arithmetic, Chinese remainder theorem. Combinatorics: permutations, \\ncombinations, partitions, recurrences, generating functions. [8H] \\n \\nModule 2: Graph Theory: isomorphism, complete graphs, bipartite graphs, matchings, colourability, and \\nplanarity. [8H] \\n \\nModule 3: Review of algebraic Structures: semigroups, groups, subgroups, homomorphisms, rings, integral \\ndomains, fields, lattices and Boolean algebras. [7H] \\n \\nModule 4: Review of Linear algebra: system of linear equations, matrices, vector spaces, linear \\ntransformations, Eigenvectors, diagonalization. [7H] \\n \\nModule 5 : Probability: Conditional probability, random variables, probability distributions, Markov's \\ninequality, Chebyshev and Chernoff Bounds. Statistical Inference - Foundation for Inference, Central Limit \\nTheorem, Sampling Distributions, Confidence Interval, Hypothesis Testing, Inference for Numerical and \\nCategorical data. [10H] \\n \\nText/Reference books: \\n1. Kenneth H. Rosen, Discrete Mathematics and Its Applications, Tata McGraw Hill, 1999. \\n2. Jean-Paul Tremblay, R . Manohar, Discrete Mathematical Structures with Applications to Computer \\nScience, McGraw Hill, Indian Edition, 2001. \\n3. C. L. Liu, D. Mohapatra, Elements of Discrete Mathematics: A Computer Oriented Approach, McGraw \\nHill, Indian Edition, 2012. \\n4. T. Veerarajan, Discrete Mathematics with Graph Theory and Combinatorics, McGraw Hill, 2006. \\n5. R. E. Walpole, R.H. Myers, S. L. Myers, K. E. Ye, Probability and Statistics for Engineers and \\nScientists, Pearson, 2017. \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 5}, page_content='5 \\n \\nCourse Title : Algorithms \\nCourse Code : CS532 Course Type : Core \\nContact Hours : L- 3 T- 0 P- 2 Credit : 5 \\nProgram/Semester : M. Tech/PhD / Semester-I \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Lab (20%) \\nLearning Objective : This course will cover the algorithm design paradigms and the intractable \\nproblems with their approximation algorithms. The students will also learn \\ndifferent models of computation and their uses in algorithm designing. \\n \\nCourse Details: \\nModule 1: Performance of algorithms: space and time complexity; Design techniques: greedy method, \\ndivide-and-conquer, dynamic programming; Sorting and searching; Graph Algorithms: Shortest path, \\nSpanning trees, Network flow. [15H] \\nModule 2: Data Structures: Priority Queues: lists, heaps, binomial heaps, Fibonacci heaps. [10H] \\nModule 3: Computational intractability, Approximation algorithms. [10H] \\n \\nModule 4: A selection of advanced topics: Randomized Algorithm, Parallel algorithm, External Memory \\nalgorithm. [5H] \\n \\nText/Reference books: \\n1. T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, Introduction to Algorithms , Third Edition, \\nMIT Press, 2009. \\n2. J. Kleinberg and E. Tardos, Algorithm Design, Addison Wesley, 2005. \\n3. Aho, J E Hopcroft and J. D. Ullman, The Design and Analysis of Computer Algorithms , Addison \\nWesley, 1974. \\n4. S Sahni, Data Structures, Algorithms and Applications in C++, McGraw Hill, 2001. \\n5. M. T. Goodrich and R. Tamassia, Algorithm Design: Foundations, Analysis and Internet Examples , \\nJohn Wiley & Sons, 2001. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 6}, page_content='6 \\n \\nCourse Title : Data Analytics Lab \\nCourse Code : CS533L Course Type : Core (Lab 2) \\nContact Hours : L- 0 T- 0 P- 2 Credit : 2 \\nProgram/Semester : M. Tech/PhD / Semester-I \\nPre-requisites : None \\nEvaluation Scheme : Lab (60%), End term (40%) \\nLearning Objective : This course will cover the algorithm design paradigms and the intractable \\nproblems with their approximation algorithms. The students will also learn \\ndifferent models of computation and their uses in algorithm designing. \\n \\nCourse Details: \\nModule 1: Introduction to Programming Environment, Variables and Expressions, Loops and Conditional \\nStatements, Introduction to datatypes (Lists, Dictionaries, Tuples, strings), Functions, Scope, Recursion, \\nExpressions. Descriptive Statistics like mean, mode, media n, standard deviation, five -point summary, \\nScatter plots. Data Distributions – Binomial, Normal, Poisson. Standard score and Probability calculations. \\nRegression, Correlation, Co -variance, coefficient of regression (r), coefficient of determination (R2). \\nInferential Statistics, Confidence Interval, hypothesis testing, type-I and type-II errors, p-values, significance \\nlevels, Test of significance. [20H] \\n \\nText/Reference books: \\n1. For the lab exercises, programming platforms like Python, R, Matlab, Java, and similar will be used. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 7}, page_content='7 \\n \\nCourse Title : Research Methods in Computer Science \\nCourse Code : CS534 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (0%), End term (40%), Project (30%) \\nLearning Objective : 1. To introduce research methodologies in CS to students going to peruse \\nresearch in CS. \\n2. To understand the strengths and weakness of each of these methods. \\n3. How to choose suitable method (s) for the investigations. \\n4. How to carry out these investigations. \\n5. How to deal with the threats associated with these investigations. \\n6. Reporting the results of these investigations. \\n \\nCourse Details: \\nModule 1: Introduction to Research and the research Process, Quantitative and Qualitative research \\nmethods, Criteria for selecting research methods, literature review, research questions and hypotheses, \\nsurveys case studies, Controlled Experiments, Ethnography and Action Research, Validity threats. [10H] \\nModule 2: Introduction to Quantitative Research, Study Designs, Elements and Methods, Analysis and \\ninterpretation of Quantitative Data Descriptive and Influential Statistics, Sampling and Data Collection, \\nsampling distribution, parameter, Estimation, confidence in terval and Hypothesis Testing , correlation and \\nregression , Tests of singnificance, test of difference of mean and proportions, t -tests, ANOVA Chi -square \\nTests, Validity Threats. [10H] \\nModule 3: Qualitative Methods, Study Designs, Elements, and Methods, The nature and types of qualitative \\nresearch, Data collection methods- primary and secondary sources, Types of data analysis methods, Validity \\nthreats. [10H] \\nModule 4: Introduction to Mixed Methods Research, Study Designs and Method, Writing research \\nproposal, purpose nature and evaluation, content and format, Validity threats. [10H] \\nText/Reference books: \\n1. John W. Creswell, Research Design. Qualitative, Quantitative, and Mixed Methods Approaches, Fourth \\nEdition, SAGE Publication, 2014. \\n2. Wayne C. Booth, Gregoty G. Colomb, Joseph M. Williams, Joseph Bizup, William T. fitzGerald , The \\nCraft of Research, Fourth Edition, The University of Chicago Press, 2016. \\n3. Kothari, Chakravanti Rajagopalachari, Research methodology: Methods and techniques, New Age \\nInternational, 2004. \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 8}, page_content=\"8 \\n \\nCourse Title : Game Theory and Networks \\nCourse Code : CS601 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : To understand relation between Game Theory and Networks \\n \\nCourse Details: \\nModule 1: Nash Equilibrium: Theory Strategic games; the Prisoner's Dilemma, Bach or Stravinsky, Brass \\nParadox, Matching Pennies, The Stag Hunt, Nash Equilibrium, Best response functions, Dominated actions, \\nEquilibrium in single population. Mixed Strategy Equilibrium Introduction, Mixed strategy Nash \\nequilibrium, The formation of players' beliefs, finding all mixed strategy Nash equilibria, Games in which \\neach player has a continuum of actions. [10H] \\n \\nModule 2: Extensive Games with Perfect Information Introduction, Strategies and outcomes, Nash \\nequilibrium, Subgame perfect equilibrium, Finding subgame perfect equilibria of finite horizon games, \\nStackelberg's model of duopoly. [10H] \\n \\nModule 3: Repeated Games: The Prisoner’s Dilemma, General Result. Incentives and Pricing in \\nCommunications Networks: Large Networks, Pricing and Resource Allocation, Alternative Pricing and \\nIncentive Approaches. [10H] \\n \\nModule 4: Incentives in Peer -to-Peer Systems: The p2p File sharing games, Reputation, Barter based \\nsystem, Currency, Hidden action in p2p systems. Manipulation -Resistant Reputation Systems: Why Are \\nReputation Systems Important?, The Effect of Reputations, Whitewashing, Eliciting Effort and Honest \\nFeedback, Reputations Based on Transitive Trust. [10H] \\n \\nText/Reference books: \\n1. Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay V . Vazirani, Algorithmic Game Theory, \\nCambridge University Press, New York, 2007. \\n2. Osborne, M. J., An Introduction to Game Theory, Oxford University Press, New York, 2004. \\n3. Kevin Leyton -Brown, Yoav Shoham, Essentials of Game Theory: A Concise, Multidisciplinary \\nIntroduction, Morgan & Claypool Publishers, 2008. \\n4. D. Fudenberg and J. Tirole, Game Theory, The MIT Press, Cambridge MA, 1992. \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 9}, page_content='9 \\n \\nCourse Title : Social Network Analysis \\nCourse Code : CS602 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : After acquiring basic tools needed to analyze and model networks through \\ncomputers, the students will explore increasingly complex social, infrastructure, \\ninformation, and biological networks. \\n \\nCourse Details: \\nModule 1: Introduction: Basic network properties: nodes, edges, adjacency matrix, node degree, connected \\ncomponents, giant component, average shortest path, diameter. [10H] \\nModule 2: Social Network models: Erdos -Renyi, Watts Strogatz and Barabasi -Albert model. The Small \\nWorld Phenomena and Decentralized search in small -world. Social network analysis tools: networks X, \\nUNCIENT, Gephi, Pajek, and Graphviz. [10H] \\n \\nModule 3 : Network centrality: between -ness, closeness, eigenvector centrality, Network Algorithms: \\nAlgorithms for degrees and degree distributions, Clustering coefficients, shortest path in network with \\nvarying edge lengths. Strength of weak ties and Community structure in networks: Network community \\ndetection: Modularity optimization and spectral clustering coefficients, overlapping communities in \\nnetworks. [10H] \\n \\nModule 4: Information Retrieval: link Analysis: HITS and Page Rank. Epidemic models over Networks: SI, \\nSIS, SIR, SIRS models, Percolation and Network Resilience. [10H] \\n \\nText/Reference books: \\n1. Easley, David, and J. Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected \\nWorld. Cambridge University Press, 2010. \\n2. Mark Newman, Networks: An Introduction, Oxford University Press, 2010. \\n3. Robert A. Hanneman, Mark D. Riddle, An Introduction to Social Network Methods, 2005. \\n4. M.E. J. Newman, The structure and function of complex networks, SIAM Review 45, 167-256, 2003. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 10}, page_content='10 \\n \\nCourse Title : Queuing Theory \\nCourse Code : CS603 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : To understand the queuing theory. \\n \\nCourse Details: \\nModule 1: Preliminaries: System of Flows, The speciation and measure of queuing systems, Notation and \\nstructure for basic queuing systems, Definition and classification of stochastic processes, Discrete time \\nMarkov chains, Continuous time Markov chains, Birth\\xaddeath processes. [10H] \\nModule 2: Birth and Death Systems in equilibrium: General equilibrium solution, M/M/1: The classical \\nqueuing system. Discouraged arrivals, M/M/∞: Responsive servers, M/M/m (The m\\xadserver case), M/M/1/k \\n(Finite storage). [10H] \\n \\nModule 3: The Queue M/G/1: M/M/m/m (m\\xadserver Loss system), M/M/1/M (Finite customer population - \\nSingle server), M/M/∞/M (Finite customer population- Infinite server), The M/G/1 system, The paradox of \\nresidual life. [10H] \\n \\nModule 4: The embedded Markov Chain, The transition probabilities, The mean queue length, Distribution \\nof Number in systems, Distribution of waiting time, The busy period and its duration, The number served in \\nbusy period, From busy period to waiting times. [10H] \\n \\nText/ Reference books: \\n1. Leonard Kleinrock, Queueing Systems Volume 1: Theory, Wiley, 1976. \\n2. Donald Gross, J. F. Shortle, J. M. Thompson, Carl M. Harris, Fundamentals of Queueing Theory, Fourth \\nEdition, Wiley, 2008. \\n3. K. S. Trivedi, Probability and Statistics with Reliability Queueing and Computer Science Applications, \\nSecond Edition, Wiley, 2001. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 11}, page_content=\"11 \\n \\nCourse Title : Model Thinking \\nCourse Code : CS604 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The objective of the course i s to expose the students to the general \\nprinciples of model thinking, and how models are evolved using a \\nphilosophical, logical and learning approach. \\n \\nCourse Details: \\nModule 1: Why Model & Segregation/Peer Effects, Aggregation & Decision Models, Thinking Electrons: \\nModeling People & Categorical and Linear Models. [10H] \\nModule 2: Tipping points & economic growth, Diversity and innovation & Markov processes, Lyapunov \\nfunctions & coordination and culture. [10H] \\n \\nModule 3 : Path dependence & networks, Randomness and random walks & Colonel Blotto, Prisoners' \\ndilemma and collective action & mechanism design. [10H] \\n \\nModule 4: Learning models: Replicator dynamics & prediction and the many model thinker. [10H] \\n \\nText/ Reference books: \\n1. Mikael Krogerus, Roman Tschäppeler, Jenny Piening, Philip Earnhart, The Decision Book - 50 Models \\nfor Strategic Thinking, W. W. Norton & Company, 2012. \\n2. Alexander Osterwalder and Yves Pigneur, Business Model Generation: A Handbook for Visionaries, \\nGame Changers, and Challengers, Wiley, 2010. \\n3. Mikael Krogerus and Roman Tschäppeler, The Change Book: Fifty Models to Explain How Tthings \\nhappen, Profile Books Ltd, Jan 2013. \\n4. Donella H. Meadows, Thinking in Systems: A Primer, Chelsea Green Publishing, 2015. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 12}, page_content='12 \\n \\n \\nCourse Title : Mobile and Wireless Networks \\nCourse Code : CS608 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : After completing this course, the student will learn the enabling technology \\nin the wireless networking along with components and subsystems used in \\nwireless networking. \\n \\nCourse Details: \\nModule 1: (Basic of wireless communication & channel) An Overview of Wireless Systems: Wireless \\nHistory, A taxonomy of wireless networks, Cellular Generations (from1G to 4G), Current & Future Wireless \\nTechnologies, Trends. Radio Propagation and Interference: Radio wave propagation, Multi -path \\ncharacteristic of radio wave, Short/long term fading, Indoor and Outdoor propagation models. [10H] \\n \\nModule 2: (Multiple Radio Access & Multiple Division Techniques for Traffic Channels) \\nModulation techniques: Digital Modulation in Modern Wireless Systems (QPSK, DQPSK, p/4 DQPSK, n -\\nQAM, OFDM). Multiple Access Techniques: Contention -Based (Random -based) Protocols (ALOHA, \\nCSMA), Reservation based Protocols (FDMA, TDMA, CDMA), Fundamental of SC -FDMA and OFDMA, \\nFHSS, DSSS. [10H] \\n \\nModule 3 : (Mobile Wireless Networks) Cellular concept: Basic principles of cellular systems, e.g., Cell \\nlayout, Planning, Interference. Traffic Channel Allocation & Mobility: Fixed Channel Allocation (FCA), \\nDynamic Channel Allocation (DCA), Hybrid Channel Allocation (HCA), Mobile IP. [10H] \\n \\nModule 4: (Wireless LAN & PAN) Wireless LAN: Operation of IEEE 802.11 Wireless LAN, incl. \\nCSMA/CA, RTS/CTS, power management, 802.11a/b/g/n, 802.11e. Wireless PAN: Overview of operation \\nof low -power wireless systems based on IEEE 802.15.1 (Bluetooth) and IEEE 802.15.4 (Zigbee). \\nIntroduction to WiMAX and LTE. [10H] \\n \\nText/ Reference books: \\n1. Dharma P. Agrawal, Qing -An Zeng, Introduction to Wireless and Mobile Systems, Third Edition, \\nCengage learning, 2015. \\n2. Kaveh Pahlavan, Principles of Wireless Networks: A Unified Approach, Second Revised Edition, John \\nWiley & Sons, Inc., 2011. \\n3. Garg, Wireless Communications and Networks, Morgan Kaufmann, 2010. \\n4. T. S. Rappaport, Wireless Communications-Principles and Practice, Second Edition, Pearson Education, \\n2002. \\n5. William Stallings, Wireless Communications and Networks, Second Edition, Pearson, 2005. \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 13}, page_content='13 \\n \\n \\n \\nCourse Title : Wireless Sensor Networks \\nCourse Code : CS609 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : After completing this course, the students will learn various hardware and \\nsoftware platforms that exist for sensor networks. They will also learn various \\nnetwork level protocols for MAC, routing, time synchronization, aggregation, \\nconsensus and distributed tracking. \\n \\nCourse Details: \\nModule 1: Characteristics of WSN: Characteristic requirements for WSN, Challenges for WSNs, WSN vs \\nAdhoc Networks. Sensor node architecture, Commercially available sensor nodes (Imote, IRIS, Mica Mote, \\nEYES nodes, BTnodes, TelosB, Sunspot), Physical layer and transceiver design considerations in WSNs, \\nEnergy usage profile, Choice of modulation scheme, Dynamic modulation scaling, Antenna considerations. \\n[10H] \\n \\nModule 2: Medium Access Control Protocols: Fundamentals of MAC pro tocols, Low duty cycle protocols \\nand wakeup concepts, Contention based protocols, Schedule -based protocols, SMAC, BMAC, Traffic -\\nadaptive medium access protocol (TRAMA), The IEEE 802.15.4 MAC protocol. [10H] \\n \\nModule 3 : Routing Protocols: Routing Challenges and Design Issues in Wireless Sensor Networks, \\nFlooding and gossiping, Data cen tric Routing, SPIN, Directed Diffusion, Energy aware routing, Gradient -\\nbased routing, Rumor Routing (COUGAR, ACQUIRE), Hierarchical Routing (LEACH, PEGASIS), \\nLocation Based Routing (GF, GAF, GEAR, GPSR), Real Time routing Protocols (TEEN, APTEEN, SPEED, \\nRAP). [10H] \\n \\nModule 4: Data Gathering Protocols and Applications Of WSN: Data aggregation, data aggregation \\noperations, Aggregate Queries in Sensor Networks, Aggregation Techniques, TAG, Tiny DB, Applications \\nof WSN: WSN Applications, Home Control, Building Automation, Industrial Automation, Medical \\nApplications, Reconfigurable Sensor Networks, Highway Monitoring, Military Applications, Civil and \\nEnvironmental Engineering Applications, Wildfire Instrumentation, Habitat Monitoring, Nanoscopic Sensor \\nApplications, Case Study: IEEE 802.15.4 LR -WPANs Standard, Target detection and tracking, \\nContour/edge detection, Field sampling. [10H] \\n \\nText/ Reference books: \\n1. Holger Karl and Andreas Willig , Protocols and Architectures for Wireless Sensor Networks, John \\nWiley & Sons, Ltd, 2005. \\n2. Kazem Sohraby, Daniel Minoli and Taieb Znati, Wireless Sensor Networks Technology, Protocols, and \\nApplications, John Wiley & Sons, 2007. \\n3. Anna Ha´c, Wireless Sensor Network Designs, John Wiley & Sons, 2003. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 14}, page_content='14 \\n \\n \\n \\n \\nCourse Title : Machine Learning \\nCourse Code : CS615 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : In this course students will learn to train the machine using different machine \\nalgorithms to solve the real-world prediction problems. \\n \\nCourse Details: \\nModule 1: Learning Problem, Designing a Learning System, Types of Learning. Supervise Learning: Linear \\nand Logistic regression, Decision Tree Learning. [10H] \\n \\nModule 2: Instance-Based Learning, kNN and CBR, Bayesian Learning, Naive Bayes Classifier, Artifi cial \\nNeural Network (ANN), SVM. [10H] \\nModule 3: Unsupervised Learning: Mixture Models and EM, Clustering, K-Means, DBSCAN, Hierarchical \\nclustering, Association Rule Mining, Dimensionality Reduction. [10H] \\n \\nModule 4: Performance Evaluation, Confusion Metrics, Evaluating Hypotheses, Confidence Interval, \\nHypothesis Testing Ensemble Learning Bagging and Boosting Formulating. Computational Learning \\nTheory, Issues and practical advice in Machine Learning. [10H] \\n \\nText/ Reference books: \\n1. Tom Mitchell. Machine Learning, McGraw Hill, 1997. \\n2. Chris Bishop, Pattern Recognition and Machine Learning, Springer, 2007. \\n3. Stephen Marsland, Machine Learning an Algorithmic Perspective, Chapman and Hall/CRC, 2014. \\n4. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Foundations of Machine Learning (Adaptive \\nComputation and Machine Learning Series), MIT, 2012. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 15}, page_content='15 \\n \\n \\nCourse Title : Pattern Recognition \\nCourse Code : CS616 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The objective of this course is to introduce basics of pattern recognition with its \\napplications to computer vision, which will help students to develop real time \\napplications such as biometrics, medical imaging etc. \\n \\nCourse Details: \\nModule 1: Introduction: Feature extraction and Pattern Representation, Concept of Supervised and \\nUnsupervised Classification, Introduction to Application Areas . Statistical Pattern Recognition: Bayes \\nDecision Theory, Minimum Error and Minimum Risk Classifiers, Discriminant Function and Decision \\nBoundary, Normal Density, Discriminant Function for Discrete, Features , Parameter Estimation, and \\nMaximum Likelihood Estimation. [10H] \\n \\nModule 2: Dimensionality Problem: Dimension and accuracy, Computational Complexity, Dimensionality \\nReduction, Fisher Linear Discriminant, Multiple Discriminant Analysis. Nonparametric Patter n \\nClassification: Density Estimation, Nearest Neighbour Rule, Fuzzy Classification. \\n[10H] \\n \\nModule 3: Linear Discriminant Functions: Separability , Two Category and Multi Category Classification, \\nLinear Discriminators, Perceptron Criterion, Relaxation Procedure, Minimum Square Error Criterion, \\nWidrow-Hoff Procedure, Ho-Kashyap Procedure, Kesler’s Construction. [10H] \\n \\nModule 4: Neural Network Classif ier (introduction), Hopfield Network, Fuzzy Neural Network. Time \\nVarying Pattern Recognition: First Order Hidden Markov Model, Evaluation Decoding, Learning. [10H] \\n \\nText/ Reference books: \\n1. Richard O. Duda, Peter E. Hart, David G. Strok, Pattern Classification, Second Edition, Wiley-\\nInterscience, 2000. \\n2. Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006. \\n3. Tom M. Mitchell, Machine Learning, McGraw Hill Education, 1997. \\n4. S. Theodoridis, K. Koutroumbas, Pattern Recognition, Fourth edition, Academic Press, 2008. \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 16}, page_content=\"16 \\n \\n \\nCourse Title : Basics of Deep Learning \\nCourse Code : CS617 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : With the exposure of deep learning methodology, students will learn its \\npotential app lication in various areas like Computer Vision and Natural \\nLanguage Processing. \\n \\nCourse Details: \\nModule 1: Introduction-Feedforward Neural networks , Gradient Descent and the back propagation \\nalgorithm, Unit saturation, aka the vanishing gradient problem, and ways to mitigate it , Relu Heuristics for \\navoiding bad local minima , Heuristics for faster training , Nestors accelerated gradient descent , \\nRegularization. Dropout. [10H] \\nModule 2: Convolutional Neural Networks Architectures, convolution/Pooling layers, Recurrent Neural \\nNetworks, LSTM, GRU, Encoder Decoder architectures. Deep Unsupervised learning Autoencoders \\n(standard, sparse, denoising, contractive, etc.), Variational Autoencoders, Adversarial Generative Networks, \\nAutoencoder and DBM. [10H] \\n \\nModule 3 : Applications of Deep Learning to Computer vision, Image segmentation, Object detection, \\nAutomatic image captioning, Image generation with Generative adversarial networks, Video to text with \\nLSTM models, Attention models for computer vision tasks. Applications of Deep Learning to NLP, Vector \\nSpace Models of Semantics Word Vector Representations: Continuous Skip-Gram Model, Continuous Bag-\\nof-Words model (CBOW), Glove, Evaluations and Applications in word similarity, analogy reasoning. \\n[10H] \\n \\nModule 4: Named Entity Recognition, Opinion Mining using Recurrent Neural Networks, Parsing and \\nSentiment Analysis using Recursive Neural Networks, Sentence Classification using Convolutional Neural \\nNetworks Dialogue Generation with LSTMs, Applications of Dynamic Memory Networks in NLP, Recent \\nResearch in NLP using Deep Learnin g: Factoid question answering, Similar question detection, Dialogue \\ntopic tracking, Neural Summarization, Smart Reply. [10H] \\n \\nText/ Reference books: \\n1. Ian Goodfellow, Yoshua Bengio and Aaron Courville, Deep Learning, MIT Press, 2016. \\n2. Ohlsson, Stellan, Deep learning: How the mind overrides experience, Cambridge University Press, \\n2011. \\n3. Li Deng, Dong Yu, Deep Learning: Methods and Applications, NOW Publishers, 2014. \\n4. Nikhil Buduma and Nicholas Locascio, Fundamentals of Deep Learning: Designing Next‑Generation \\nArtificial Intelligence Algorithms, O'Reilly Media, 2017. \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 17}, page_content='17 \\n \\n \\nCourse Title : Soft Computing \\nCourse Code : CS618 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The course is aimed at introducing some of the most extensively used soft \\ncomputing techniques in engineering applications. After learning these \\ntechniques, the student will be able to understand the theory behind some of the \\nstandard soft computing tools available for applications and will be able to \\nwrite his/her own code also for specific application. \\n \\nCourse Details: \\nModule 1: Introduction to Computing: Evolution of Computing, Basics of Soft Computing. Conventional \\nAI and Computational Intelligence, Machine Learning Basics. [8H] \\nModule 2: Neural Networks: Introduction to neural networks, Neural network architecture, Learning \\nmethods, Architecture of a back propagation network, Applications. [8H] \\n \\nModule 3 : Fuzzy Logic: Crisp and Fuzzy sets, membership functions, Basic operations on fuzzy sets, \\nProperties of fuzzy sets, Fuzzy relations, Propositional and predicate logic, fuzzy mapping rules and \\nimplications, Applications. [8H] \\n \\nModule 4: Nature Inspired Algorithms: Introduction, Genetic algorithms, Differential evolution, Particle \\nswarm optimization, Cuckoo search. [10H] \\n \\nModule 5: Hybrid Systems: Integration of neural networks, fuzzy logic and genetic algorithms. [6H] \\n \\nText/ Reference books: \\n1. N.P. Padhy and S.P. Simon, Soft Computing: With Matlab Programming, Oxford University Press, \\n2015. \\n2. K.H.Lee, First Course on Fuzzy Theory and Applications, Springer-Verlag, 2004. \\n3. D. E. Goldberg, Genetic Algorithms: Search, Optimization and Machine Learning, Addison Wesley, \\n1989. \\n4. S. Rajasekaran and G.A.Vijaylakshmi Pai, Neural Networks Fuzzy Logic, and Genetic Algorithms, \\nPrentice Hall of India, 2003. \\n5. J.S.R. Jang, C.T. Sun and E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall of India, 2004. \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 18}, page_content='18 \\n \\nCourse Title : Data Mining and Data Warehousing \\nCourse Code : CS619 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : This course will cover basic understanding of data mining preprocessing steps \\nand techniques. Topic will include association rule mining, supervised leaning, \\nand unsupervised algorithm. It also provides an application of data mining in \\nthe field of web mining and text mining. \\n \\nCourse Details: \\nModule 1: Introduction to Data Mining, Data Mining Goals, Stages of the Data Mining Process, Data \\nMining Techniques, Knowledge Representation Methods. Data Warehouse and DBMS, Multidimensional \\ndata model, OLAP operations, Data warehouse architecture. Data cleaning, Data transforma tion, Data \\nreduction, Discretization and generating concept hierarchies, Experiments with Weka 3 Data Mining \\nSystem-filters, discretization. [10H] \\nModule 2: Data mining knowledge representation, Task relevant data, Background knowledge, \\nInterestingness measures, Representing input data and output knowledge, Visualization techniques. \\nAttribute-oriented analysis, Attribute generalization, Attribute relevance, Class comparison, Statistical \\nmeasures. [10H] \\nModule 3: Association rules Mining, Motivation and terminology, Example: mining weather data, Basic \\nidea: item sets, Generating item sets and rules efficiently, Correlation analysis, frequent patterns without \\ncandidate generations, multilevel association rule mining. Overview of mining algor ithms such as decision \\ntree, support vector machine, clustering, fuzzy algorithms, Evaluating the Accuracy of a mining algorithms. \\n[10H] \\n \\nModule 4: Text mining, Automatic keyword extraction from individual documents , Textual Information to \\nNumerical Vectors, Events and trends detection in text streams, Content -based spam email classification, \\nText mining software. Web mining, Information retrieval and web search, Web spamming, Mining the social \\nweb, Web crawling, W eb usage mining, application of mining in m ultimedia, Web data mining software . \\n[10H] \\n \\nText/ Reference books: \\n1. Alex Berson, Stephen J. Smith, Data Warehousing, Data Mining, & OLAP, First Edition, Tata Mcgraw- \\nHill, 2004. \\n2. Pang Ning Tan, Michael Steinbach, and Vipin Kumar, Introduction to Data Mining, First Edition, \\nPearson Education 2005. \\n3. Ian H. Witten, Eibe Frank, and Mark A. Hall, Data Mining: Practical Machine Learning Tools and \\nTechniques, Third Edition, Morgan Kaufmann 2011. \\n4. Margaret H. Dunham, Data Mining: Introductory and Advanced Topics, Pearson Education 2003. \\n5. Bing Liu, Web Data Mining: Exploring Hyperlinks, Contents and Usage Data, Springer, 2007. \\n6. Ashok Srivastava, Mehran Sahami, Text Mining: Classification, Clustering, and Applications, CRC \\nPress 2009. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 19}, page_content='19 \\n \\nCourse Title : Natural Language Processing \\nCourse Code : CS620 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The objective of this course is to give hand on experience on natural language \\ntext processing with applications to parts -of-speech tagging, parsing, tagging \\nand so on. \\n \\nCourse Details: \\nModule 1: Basic Text Processing, Regular expression, sentence segmentation, word stemming. Language \\nmodeling problem, Hidden Markov models, N -gram models, parameter estimation, model evaluation, \\nperplexity, smoothing. [10H] \\nModule 2: Text classification, Naïve Bayes and multinomial Naïve Bayes, Evaluation, Sentiment Analysis \\nPOS Tagging problems, Viterbi Algorithm for HMM, NER. [10H] \\nModule 3 : The parsing problem, CFG and Probabilistic context -free grammars (PCFG), CKY Parsing \\nalgorithm, we aknesses of PCFGs, Lexicalized PCFG. Information Retrieval, Term -Document Incidence \\nMatrices, The Inverted Index, Introducing Ranked Retrieval, Term Frequency Weighting, Inverse Document \\nFrequency Weighting, TF-IDF Weighting. [10H] \\n \\nModule 4: Log-linear mo dels, and their application to NLP problems like tagging, parsing \\nUnsupervised and semi-supervised learning in NLP. [10H] \\n \\nText/ Reference books: \\n1. Jurafsky and Martin, Speech and Language Processing, Second Edition, Prentice Hall, 2008. \\n2. Chris Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing, MIT \\nPress. Cambridge, MA: May 1999. \\n3. Christopher D. Manning, Foundations of statistical natural language processing, MIT Press Cambridge, \\n1999. \\n4. Anne Kao, Steve R. Poteet, Natural language processing and text mining, Springer, 2006. \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 20}, page_content='20 \\n \\nCourse Title : Image Processing \\nCourse Code : CS621 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : Understand image formation and the role human visual system plays in \\nperception of gray and color image data. Get broad exposure to and \\nunderstanding of various applications of image processing in industry, \\nmedicine, and defence. \\n \\nCourse Details: \\nModule 1: Digital Image Fundamentals: Image sensing, acquisition, sampling and quantization, basic \\nrelationships between pixels. Image Enhancement in Spatial Domain: Gray level transformation, histogram \\nprocessing, smoothing and sharpening Spatial Filters. [8H] \\n \\nModule 2: Image Transforms: Fourier transform and their properties, Fast Fourier transform, Other \\ntransforms, image enhancement in frequency domain. [8H] \\n \\nModule 3: Color Image Processing, Image Restoration, Image Compression. [8H] \\n \\nModule 4: Wavelets and Multiresolution Analysis: Introduction to wavelets, scaling functions and \\nsubspaces, Subband coding, Subband decomposition of images, Continuous and Discrete wavelet \\ntransforms. Various morphological operators and their use in different applications. [8H] \\n \\nModule 5: Image Segmentation: edge detection, Hough transform, region based segmentation, \\nRepresentation and Description: Object representation, boundary based descriptors, region based descriptors \\n(texture and shape features). [8H] \\n \\nText/Reference books: \\n1. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Third Edition, Pearson, 2012. \\n2. M Sonka, V Hlavac, R Boyle, Image Processing, Analysis, and Machine Vision, Third Edition, \\nThomson Engineering, 2007. \\n3. W. K. Pratt, Digital Image processing, Third Edition, John Wiley & Sons Inc., 2001. \\n4. Anil K. Jain, Fundamentals of Digital Image Processing, Pearson Education, 2006. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 21}, page_content='21 \\n \\nCourse Title : Computer Vision \\nCourse Code : CS622 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : To introduce students with theoretical and practical aspects of computing with \\nimages. Students will learn necessary theory and skills for automatic analysis of \\ndigital images with the basics of 2D and 3D Computer Vision. \\n \\nCourse Details: \\nModule 1: Introduction to Computer Vision, Image Formation and Representation, Transformation: \\nOrthogonal, Euclidean, Affine, Projective, etc ., Camera Models, Camera Calibration, Epipolar Geometry, \\nStereo & Multi-view Reconstruction. [10H] \\nModule 2: Basic image processing operations, Convolution and Filtering. Feature Extraction: Edges - \\nCanny, LOG, DOG , Line detectors - Hough Transform, Corners - Harris and Hessian Affine, Orientation \\nHistogram, SIFT, SURF, HOG, GLOH, Scale -Space Analysis -Image Pyramids and Gaussian derivative \\nfilters. [10H] \\n \\nModule 3: Image Segmentation: Contour based, Region Growing, Graph based, Mean-Shift, Graph cuts. \\nObject Recognition: Structural Approaches, Model -based Approaches, Appearance and Shape -based \\nApproaches, Probabilistic Paradigms. Performance evaluation parameters. [10H] \\n \\nModule 4: Motion Analysis: Background Subtraction and Modeling, Optical Flow, KLT, Spatio -Temporal \\nAnalysis, Dynamic Stereo; Motion parameter estimation. Vision Applications: CBIR, CBVR, Security and \\nSurveillance (Activity Recognition, Biometrics etc.), Medical image processing etc. [10H] \\n \\nText/Reference books: \\n1. Richard Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag London Ltd, 2011. \\n2. D. A. Forsyth, J. Ponce, Computer Vision: A Modern Approach, Pearson Education, 2003. \\n5. Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, Second Edition, \\nCambridge University Press, March 2004. \\n6. V.S. Nalwa, A Guided Tour of Computer Vision, Addison-Wesley, 1993. \\n7. R.C. Gonzalez and R.E. Woods, Digital Image Processing, Third Edition, Pearson, 2012. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 22}, page_content='22 \\n \\nCourse Title : Multimedia Processing \\nCourse Code : CS623 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The objective of the course is to introduce the basics of multimedia systems and \\nprocessing. Students will be exposed to image compression and decompression. \\nThey will also learn about audio and video coding techniques, and standards. \\n \\nCourse Details: \\nModule 1: Introduction to Multimedia Systems and Processing, Computer Representation of Audio, Image, \\nand Video, Image compression and decompression systems, Redundancies and their Classification, Entropy \\nand Information Theory, Lossless and lossy image co mpression, Quality measures of reconstructed images. \\n[8H] \\nModule 2: Lossless Compression (Run Length Encoding, Variable Length Coding, and Dictionary -Based \\nCoding techniques): Huffman coding, Shannon’s Coding Theorem for noiseless channels, Arithmetic and \\nLempelZiv coding. Lossy Compression: Uniform and non -uniform quantization, Rate -distortion function \\nand Source Coding Theorem, Delta modulation and DPCM, Transform coding and DCT, JPEG. [8H] \\n \\nModule 3: Multiresolution Analysis: Introduction to wavelets, scaling functions and ladder of subspaces, \\nSubband coding, Conditions for perfect reconstruction, Subband decomposition of images, Discrete wavelet \\ntransform. Embedded wavelet coding, JPEG-2000. [8H] \\n \\nModule 4: Video Coding and Motion Estimation: Basic building blocks and temporal redundancy, Motion \\nestimation algorithms, Video coding standards –MPEG-4 and H.264. Audio Coding: Basic of Audio Coding, \\ntransform and filter banks, Format and encoding, Psychoacoustic models. [8H] \\n \\nModule 5: Multimedia Synchronization: Basic definitions and requirements, Time stamping and pack \\narchitecture, References model and specification, Packet architectures and audio -video interleaving, \\nPlayback continuity. Video Indexing and Retrieval: Content based ima ge retrieval, Video content \\nrepresentation, Video sequence query processing. [8H] \\n \\nText/Reference books: \\n1. P. Havaldar and G. Medioni, Multimedia Systems - Algorithms, Standards and Industry Practices, \\nCengage Learning, 2009. \\n2. R. Steinmetz and K. Nahrsted t, Multimedia Fundamentals: Media Coding and Content Processing, \\nSecond Edition, Prentice Hall, 2002. \\n3. NPTEL Course on Multimedia Processing by IIT Kharagpur. \\n4. Coursera – Course on Fundamentals of Digital Image and Video Processing. \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 23}, page_content='23 \\n \\nCourse Title : Medical Image Processing \\nCourse Code : CS624 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The course aims to provide foundation, as well as a thorough explanation of the \\ntechniques involved in medical image processing. The students would be able \\nto understand practical interpretations of all theoretical concepts. \\n \\nCourse Details: \\nModule 1 : Images as multidimensional signals , Analogue and Digital image representation s, Medical \\nimages obtained with ionizing radiation: Images from x -rays (Computed Radiography, Mammography, \\nComputed Tomography), I mages from γ-rays (Positron Emission Tomography), Medical images obtained \\nwith non -ionizing radiation: Ultrasound imaging, Magnet ic Resonance Imaging, Picture archiving and \\ncommunication systems (PACS), problems with medical images. [10H] \\nModule 2: Pixels and V oxels, Gray Scale and Color Representation, Image File Formats (DICOM, Analyze \\n7.5, NIfTI, and Interfile), Image Quality and the Signal -to-Noise Ratio, Image Processing in Clinical \\nPractice, Image Databases, intensity transformation function and dynamic range, improving visibility of low \\ncontrast images, noise reduction filters for medical images. [10H] \\n \\nModule 3: Tissue and mass segmentation, ROI Definition and Centroids, evaluation of segmentation results, \\nInterpolation and Volume Regularization , Translation and Rotation , Registration Paradigms, Merit \\nFunctions, Optimization Strategies, Camera Calibration , Registration to Ph ysical Space , Rendering and \\nSurface Models. [10H] \\n \\nModule 4: CT Reconstruction, Image Guided Therapy, Content based medical image retrieval, Case \\nstudies: Development of CAD systems based on mammograms and MRI images, its performance \\nevaluation, and some practical issues with the usage of these systems. [10H] \\n \\nText/Reference books: \\n1. W. Birkfellne, Applied Medical Image Processing: A Basic Course, CRC Press, 2011. \\n2. G. Dougherty, Digital Image Processing for Medical Applications, Cambridge University Press, 2010. \\n3. J. Jan, Medical Image Processing, Reconstruction and Restoration: Concepts and Methods, CRC Press, \\n2005. \\n4. I. Bankman, Handbook of medical Image processing and Analysis, Second Edition (Academic Press \\nSeries in Biomedical Engineering), Elsevier, 2000. \\n5. A. A. Farag, Biomedical Image Analysis: Statistical and Variational Methods, Cambridge University \\nPress, 2014. \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 24}, page_content='24 \\n \\nCourse Title : Biometric Technologies and Applications \\nCourse Code : CS625 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : This course aims to provide a strong background in the field of biometrics. The \\nstudents will be encouraged to develop a biometric system based on various \\nmodalities. \\n \\nCourse Details: \\nModule 1: Introduction to Biometric System: Definition, Characteristics, Verification and identification, \\nBiometric system components, Applications of common biometrics, Privacy and Ethical use of Biometrics. \\nFundamentals of Digital Image Processing: Image Fundamentals, Image Enhancement, Edge Detection . \\n[10H] \\n \\nModule 2: Some state of the art feature extraction, dimension reduction, and classification \\ntechniques (as required for discussion of topics in Module 3). [10H] \\n \\nModule 3 : Biometrics Technologies in visible and thermal domain : Fingerprint scan, Face recognition, \\nPalmprint recognition, Iris recognition , Multimodal biometrics (apart from standard text, this module will \\ninclude discussion on some recent research papers). [10H] \\n \\nModule 4: Testing and Evaluation of Biometric systems, Statistical Measures of Biometrics , Performance \\nmatrices, ROC curves, Cost functions, Tradeoff of performance parameters, Biometric System Selection. \\nSystem issues. [10H] \\n \\nText/Reference books: \\n1. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Third Edition, Pearson, 2012. \\n2. R. M. Bolle, J. H. Connell, S. Pankanti, N. K. Ratha, A. W. Senior, Guide to Biometrics, Springer \\nInternational Edition, 2009. \\n3. A.K. Jain, P. Flynn, A. K. Ross, Handbook of Biometrics, Springer 2007. \\n4. Recent research papers will be provided by the instructor. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 25}, page_content='25 \\n \\nCourse Title : Content Based Image Retrieval \\nCourse Code : CS626 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The course is aimed at introducing the concept and techniques in content -based \\nimage retrieval as used in various vision based applications. After learning \\nthese techniques, the students will be able to understand implementation of \\nexisting image search engines. With the practical exposure, they will be able to \\ndevelop their own CBIR systems for different applications. \\n \\nCourse Details: \\nModule 1: Introduction: Digital Image Representation and Low Level Image Features, Basic Principles for \\nImage Retrieval, Applications. Comparing Images: Comparing Features, Different Distance Functions, \\nPerformance Evaluation for Content-Based Image Retrieval. [7H] \\n \\nModule 2: Human Visual Perception, Color models and features, Texture fe atures including \\nstatistical and spectral features. [10H] \\n \\nModule 3: Shape features, Object-Recognition and Classification of Images. [10H] \\n \\nModule 4: Fusion methods, Multidimensional Indexing and Curse of Dimensionality. [8H] \\n \\nModule 5: High Level Semantic Concepts: Image Semantics; Semantic gap; Current techniques in reducing \\nthe Semantic gap. Image Databases and other research issues; Study of a few existing systems. [5H] \\n \\nText/Reference books: \\n1. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Third Edition, Pearson, 2012. \\n2. M Sonka, V Hlavac, R Boyle, Image Processing, Analysis, and Machine Vision, Third Edition, \\nThomson Engineering, 2007. \\n3. Richard Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag London Ltd, 2011. \\n4. Also, relevant research papers will be provided by the instructor. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 26}, page_content='26 \\n \\nCourse Title : Image Reconstruction \\nCourse Code : CS627 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : Course includes the theory behind the reconstruction of the medical images. \\nExamples will range from CT, PET, SPECT and MRI. \\n \\nCourse Details: \\nModule 1: One-dimensional signal processing, Fourier analysis, Line integrals and projections, Fourier slice \\ntheorem. [10H] \\nModule 2: Reconstruction algorithms for parallel projections, Reconstruction algorithms for fan beam \\nprojections, Rebinding, Conversion of fan beam projection to parallel beam projections. [10H] \\n \\nModule 3 : Reconstruction algorithms for Cone beam projections geometries, Circular scan geometry, \\nHelical scan geometry, Reconstruction of long objects. [10H] \\n \\nModule 4: Algebraic reconstruction algorithms: Additive, multiplicative, Use of priory information in \\nreconstruction, Implementation issues, Optimization based reconstruction algorithms. [10H] \\n \\nText/Reference books: \\n1. G. T. Herman, Image Reconstruction from Projections, Springer-Verlag, 2009. \\n2. W. A. Kalender, Computed Tomography, Willey, 2015. \\n3. F. Natterer, Mathematics of Computed Tomography, Taylor & Francis, 2015. \\n4. A. Kak, Slany, Principles of Computed Tomography, Springer, 2013. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 27}, page_content='27 \\n \\nCourse Title : Parallel Algorithms \\nCourse Code : CS631 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will learn design and development of parallel algorithms on \\ndifferent parallel architectures. \\n \\nCourse Details: \\nModule 1: Parallel computational models; Performance metrics; Parallel programming; Complexity \\nmeasure of parallel algorithms. [10H] \\nModule 2: Parallel Combinatorial algorithms; Parallel Searching algorithms. [10H] \\n \\nModule 3: Parallel Sorting algorithms; Parallel Graph algorithms. [10H] \\n \\nModule 4: Algorithms for linear algebraic equations; Issues of factorization; Implementation of classical \\niterative methods. [10H] \\n \\nText/Reference books: \\n1. Joseph Jaja, Introduction to Parallel Algorithms, Addison-Wesley Professional, 1992. \\n2. Sayed H Roosta, Parallel Processing and Parallel Algorithms, Springer, 2000. \\n3. Barry Wilkinson, Michael Allen, Parallel Programming: Techniques and Applications using \\nNetworked Workstations and Parallel Computers, Second Edition, Pearson education, 2006. \\n4. E. H. D’Hollander, G. R. Joubert, F. J. Peters, U Trottenberg, Parallel Co mputing: Fundamentals, \\nApplications and New Directions, First Edition, Elsevier, 1998. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 28}, page_content='28 \\n \\nCourse Title : Advanced Algorithms \\nCourse Code : CS632 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will survey many of the techniques that apply broadly in the \\ndesign of efficient algorithms. They will be able to apply this knowledge in a \\nwide range of application domains and computational models. \\n \\nCourse Details: \\nModule 1: Advanced data structures: self-adjustment, persistence and multidimensional trees. [10H] \\nModule 2: Geometric algorithms: Point location, Convex hulls and Voronoi diagrams, Arrangements \\napplications using examples. [10H] \\nModule 3 : Approximation algorithms: Use of Linear programming and primal dual, Local search \\nheuristics, semidefinite programming, hyperplane rounding. [10H] \\n \\nModule 4: String Algorithms: Rabin-Karp Fingerprinting Algorithm. Suffix Trees; Randomized algorithms: \\nUse of probabilistic inequalities in analysis. [10H] \\n \\nText/Reference books: \\n1. T. H. Cormen, C. E. Leiserson, R L Rivest and C Stein, Introduction to Algorithms, Third Edition, MIT \\nPress, 2009. \\n2. J .Kleinberg and E. Tardos, Algorithm Design, Addison Wesley, 2005. \\n3. Aho, J. E. Hopcroft and J. D. Ullman, The Design and Analysis of Computer Algorithms, \\nAddisonWesley, 1974. \\n4. S. Sahni, Data Structures, Algorithms and Applications in C++, McGraw Hill, 2001. \\n5. M. T. Goodrich and R. Tamassia, Algorithm Design: Foundations, Analysis and Internet Examples, \\nJohn Wiley & Sons, 2001. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 29}, page_content='29 \\n \\nCourse Title : Approximation Algorithms \\nCourse Code : CS633 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The course is divided into three parts: \\n(a) Combinatorial algorithms, \\n(b) Linear programming based algorithms, and \\n(c) Semidefinite programming based algorithms \\nThe students will learn several techniques to design and analyze many \\napproximation algorithms for computationally hard problems. \\n \\nCourse Details: \\nModule 1: Introduction and Methodology: P vs NP, NP Optimization problems, Approximation Ratio, \\nAdditive vs Multiplicative, Pros and Cons; Techniques: Greedy and combinatorial methods, Local search, \\nDynamic programming and approximation schemes.[10H] \\nModule 2: Linear programming rounding methods (randomized, primal -dual, dual -fitting, iterated \\nrounding), Semi-definite program based rounding, Metric methods, Problem s: Tour problems: Metric -TSP, \\nAsymmetric TSP, TSP Path, Orienteering. [10H] \\nModule 3 Number Problems: knapsack, bin packing; Scheduling: multiprocessor scheduling, precedence \\nconstraints, generalized assignment; Connectivity and network design: Steiner trees, Steiner forests, Buy at \\nbulk network design, Survivable Network Design; Covering problems: vertex cover, set cover and \\ngeneralizations; Packing problems: maximum independent set, packing integer programs; Constraint \\nsatisfaction: max k-Sat; Clustering: k-center, k-median, facility location. [10H] \\n \\nModule 4: Cut problems: max cut, multiway cut, k-cut, multicut, sparsest cut, bisection; Routing problems: \\ncongestion minimization, maximum disjoint paths, unsplittable flow, Hardness of approximation: simp le \\nproofs, approximation preserving reductions, some known results. [10H] \\n \\nText/Reference books: \\n1. Vijay Vazirani, Approximation Algorithms, Springer, 2001. \\n2. Dorit S. Hochbaum, Approximation Algorithms for NP-hard Problems, PWS Publishing, 1997. \\n3. Rajeev Motwani and Prabhakar Raghavan, Randomized Algorithms, Cambridge University Press, 2000. \\n4. Jon Kleinber and Eva Tardos, Algorithm Design, Addison-Wesley, 2006. \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 30}, page_content='30 \\n \\nCourse Title : Randomized Algorithms \\nCourse Code : CS634 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will learn to use randomization for designing simpler and more \\nefficient algorithms via random sampling, random selection of witnesses, \\nsymmetry breaking, and Markov chains. \\n \\nCourse Details: \\nModule 1: Tools and Techniques: Basic probability theory; randomized complexity theory; game-theoretic \\ntechniques; Markov, Chebyshev, and moment inequalities; limited independence; coupon collection and \\noccupancy problems. [10H] \\nModule 2: Tail inequalities and Chernoff bounds; conditional expectation and martingales; Markov chains \\nand random walks; stable distributions; probability amplification and derandomization. [10H] \\nModule 3: Applications: sorting and searching; data structures; combinatorial optimization and grap h \\nalgorithms; geometric algorithms and linear programming. [10H] \\n \\nModule 4: Approximation and counting problems; metric embedding; online and streaming algorithms; \\nnearest neighbours, and clustering; number-theoretic algorithms. [10H] \\n \\nText/Reference books: \\n1. Motwani and Raghavan, Randomized Algorithms, Cambridge University Press, 1995. \\n2. Mitzenmacher and Upfal , Probability and Computing: Randomized Algorithms and Probabilistic \\nAnalysis, Cambridge University Press, 1995. \\n3. William Feller , An introduction to Probability Theory and Its Applications, Volumes I and II, John \\nWiley, New York, 1968. \\n4. Patrick Billingsley, Probability and Measure, John Wiley and Sons, 1986. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 31}, page_content='31 \\n \\nCourse Title : Computational Geometry \\nCourse Code : CS635 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will get detailed knowledge of the fundamental problems within \\ncomputation geometry and general techniques for solving problems within \\ncomputational geometry. They will be able to construct algorithms for simple \\ngeometrical problems. \\n \\nCourse Details: \\nModule 1: Basic Geometric Concepts: points, lines, polygons; subdivisions; arrangements; polytopes; cell \\ncomplexes. Geometric Searching: fractional cascading; segment tree; interval tree, range tree; priority \\nsearch tree. [10H] \\nModule 2: Point Location: slab method; trapezoid method; chain method; bridged chain method. Plane-\\nSweep Algorithms: intersection of segments; intersection of rectangles; trapezoidation. [10H] \\nModule 3 : Convex Hulls: 2-dimensional convex hull; dynamic convex hull; 3 -dimensional convex hull. \\nProximity: closest pair; furthest pair; V oronoi diagrams; triangulations. [10H] \\n \\nModule 4: Graph Drawing: planar drawings; straight -line drawings; orthogonal drawings; polyline \\ndrawings; upward drawings; hierarchical drawings; visibility representations. [10H] \\n \\nText/Reference books: \\n1. Mark de Berg, Mar van Kreveld, Mark Overmars, Otfried S hwarzkopf, Computational Geometry: \\nAlgorithms and Applications, Second Edition, Springer Verlag, 2000. \\n2. H. Edelsbrunner, Algorithms in Combinatorial Geometry, Springer Verlag, 1987. \\n3. H. Edelsbrunner, Geometry and Topology for Mesh Generation. Cambridge Univ. Press, 2001. \\n4. K. Mulmuley, Computational Geometry: An Introduction Through Randomized Algorithms, Prentice \\nHall, 1994. \\n5. F. Preparata and M. Shamos, Computational Geometry: An Introduction, Springer Verlag, 1985. \\n6. T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein, Introduction to Algorithms Third Edition, MIT \\nPress and McGraw Hill, 2009. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 32}, page_content='32 \\n \\nCourse Title : Optimization Theory and Applications \\nCourse Code : CS636 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : This course will emphasis on and how to formulate the problems arising in \\nmanagement and engineering applications and solving these problems using \\nvarious optimization techniques. \\n \\nCourse Details: \\nModule 1: Formulation on LP, Geometry of LPP and Graphical solution to LPP, Simplex method, revised \\nsimplex method, Introduction to duality theorem, Primal dual Algorithm. [10H] \\nModule 2: Matching Algorithm, polyhedral combinatory, Matching polytopes on bipartite graphs and \\ngeneral graph. [10H] \\nModule 3: Flow duality and Algorithms, Minimum cuts, Ellipsoidal Algorithm, Separation oracles. [10H] \\n \\nModule 4: NP-Completeness, Approximation Algorithms using optimization techniques [10H] \\n \\nText/Reference books: \\n1. Rajesh Kumar Arora, Optimization: Algorithms and Applications, CRC press, 2015. \\n2. D. Luenberger and Y. Ye, Linear and Nonlinear Programming, Fourth edition, Springer, 2016. \\n3. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press New York, USA, \\n2004. \\n4. D. A. Pierre, Optimization theory with applications, Dover Publications, Inc. New York, USA, 1986. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 33}, page_content='33 \\n \\nCourse Title : Mesh Free Computations \\nCourse Code : CS637 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : Course will enable the students to develop the algorithms which do not require \\narranging the data in structured manner. \\n \\nCourse Details: \\nModule 1: Why Mesh Free, Definition of Mesh Free, Solution Procedure for Mesh Free methods \\nCategories of Mesh Free methods.[10H] \\nModule 2: Mesh Free Shape Function Construction, Mesh Free methods based on global weak forms, \\nMeshfree radial point interpolation methods, Element free Galerkin method, implementation issues. [10H] \\n \\nModule 3 : Mesh Free Collocation Methods, techniques for handling derivative boundary conditions, \\npolynomial point collocation methods for 1D problems, Polynomial point collocation methods for 2D \\nproblems, radial point collocation methods for 2D problems. [10H] \\n \\nModule 4: Meshfree colloc ation and local weak -form methods, formulation for 2D statics, Numerical \\nImplementation, Implementation issues. [10H] \\n \\nText/Reference books: \\n1. G. R. Lui, and Y. T. Gu, An Introduction to Mesh Free Methods and Their Programming, Springer, \\n2005. \\n2. W. Chen, Z. J. Fu, and C. S. Chen, Recent Advances in Radial Basis Function Collocation Methods, \\nSpringer, 2014. \\n3. L Hua, S. S. Mulay, Meshless methods and their numerical properties, CRC Press, 2013. \\n4. V M A Leitao, C J S Alves, C A Duarte, Advances in Meshfree techniques, Springer, 2007. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 34}, page_content='34 \\n \\nCourse Title : Principles of Programming Languages \\nCourse Code : CS641 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students shall be able to understand main principles of imperative, \\nfunctional, object oriented and logic oriented programming languages. They \\nwill be able to compare and choose appropriate programming languages for \\ncertain classes of programming problems. \\n \\nCourse Details: \\nModule 1: Introduction, Programming Languages, Syntax, Grammar, Ambiguity, Syntax and Semantics, \\nData Types (Primitive/Ordinal/Composite data types, Enumeration and sub -range types, Arrays and slices, \\nRecords, Unions, Pointers and pointer problems). [10H] \\nModule 2: Expressions, Type conversion, Implicit/Explicit conversion, type systems, expression evaluation, \\nControl Structures, Binding and Types of Binding, Lifetime, Referencing Environment (Visibility, \\nLocal/Nonlocal/Global variables) , Scope (Scope rules, Referencing operations, Static/Dynamic scoping) . \\n[10H] \\n \\nModule 3 : Subprograms, signature, Types of Parameters, Formal/Actual parameters, Subprogram \\noverloading, Parameter Passing Mechanisms, Aliasing, Eager/Normal -order/Lazy evaluation) , Subprogram \\nImplementation (Activation record, Static/Dynamic chain, Static chain m ethod, Display method, \\nDeap/Shallow access, Subprograms as parameters, Labels as parameters, Generic subprograms, \\nSeparate/Independent compilation). [10H] \\n \\nModule 4: Logic Programming, Predicate calculus, Clausal form, Resolution, PROLOG programming \\nlanguage, Facts and rules, Backtracking, Lists, Limitations of PROLOG) , Functional Programming \\n(Lambda notation, Referential transparency, Functional forms, LISP and SCHEME programming languages, \\nS-expression, Define and Eval functions) [10H] \\n \\nText/Reference books: \\n1. Allen B. Tucker, Robert Noonan, Programming Languages: Principles and Paradigms, Tata McGraw \\nHill Education, 2006. \\n2. Bruce J. MacLennan, Principles of Programming Languages: Design, Evaluation, and Implementation, \\nThird Edition, Oxford University Press, 1999. \\n3. T. W. Pratt, M. V. Zelkowitz, Programming Languages, Design and Implementation, Prentice Hall, \\nFourth Edition, 2001. \\n4. Robert Harper, Practical Foundations for Programming Languages, Second Edition, Cambridge \\nUniversity Press, 2016. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 35}, page_content='35 \\n \\nCourse Title : Object Oriented Analysis and Design \\nCourse Code : CS642 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The student will learn analyzing and designing an application, system, or \\nbusiness by applying the object-oriented paradigm, as well as using visual \\nmodeling throughout the development life cycles to foster better stakeholder \\ncommunication and product quality. \\n \\nCourse Details: \\nModule 1: Introduction to Object -Orientation, Objects and Classes, Attributes, Methods, Object \\nRelationships like Association, Aggregation and Composition, Inheritance, Polymorphism and Dynamic \\nBinding Interfaces, Programming constructs for various OO concepts, Components of UML class diagrams, \\nand Sequence diagrams. [10H] \\nModule 2: Requirement analysis, SRS, Use case modeling, Identification of domain objects and interactions \\nmodeling, domain modeling, UML Component diagram/package diagram, Subsystem design, goals, \\nArchitectural patterns, Component of UML Activity diagrams, and State chart, Object design (solution \\ndomain). [10H] \\n \\nModule 3 : Methodologies for object -oriented analysis and design (OOAD), Design patterns, Common \\ndesign patterns. Creational, Structural and Behavioral patterns. [10H] \\n \\nModule 4: Refactoring, Code smells, Reverse Engineering Design from Code, Design Evaluations. [10H] \\n \\nText/Reference books: \\n1. Bruegge, Bernd, and Allen H. Dutoit. Object -Oriented Software Engineering Using UML, Patterns and \\nJava-(Required). Prentice Hall, 2004. \\n2. Blaha, Michael, and James Rumbaugh. Object -oriented modeling and design with UML. Upper Saddle \\nRiver: Pearson Education, 2005. \\n3. Grady Booch, James Rumbaugh, Ivar Jacobson, Object -oriented modeling and design with UML, \\nSecond Edition, Pearson Education, 2008. \\n4. Grady Booch, Robert A. Maksimchuk , Michael W. Engle, Bobbi J. Young, Jim Conallen, Kelli A. \\nHouston, Object -Oriented Analysis and Design with Applications, Third Edition, Pearson Education, \\n2007. \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 36}, page_content='36 \\n \\nCourse Title : Fuzzy Sets, Logic and Applications \\nCourse Code : CS651 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : Provide an understanding of the basic mathematical elements of the theory of \\nfuzzy sets. Provide an emphasis on the differences and similarities between \\nfuzzy sets and classical sets theories. \\n \\nCourse Details: \\nModule 1: Review of classical set theory and related concepts, Fuzzy sets and related concepts; membership \\nfunctions, operations, algebra, etc., Mapping fuzzy sets and extension principle. [10H] \\nModule 2: Fuzzy numbers, Fuzzy relations, Fuzzy logic and relationship to binary logic. [10H] \\nModule 3 : Fuzzy propositions -classical propositions and classical inference, Fuzzy inference using \\nconditional propositions – Fuzzy inference systems. [10H] \\n \\nModule 4: Learning algorithms for intelligent systems design, Fuzzy arithmetic concepts, Applications in \\nrobotics, control, etc. [10H] \\n \\nText/Reference books: \\n1. George Klir, Bo Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall, 1995. \\n2. Witold Pedrycz, Fuzzy Sets Engineering, CRC Press, 1995. \\n3. T. J. Ross, Fuzzy Logic with Engineering Applications, McGraw Hill, 1995. \\n4. S. S. Farinwata, D. P. Filev, R. Langari, Fuzzy Control: Synthesis and Analysis, Wiley, 2000. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 37}, page_content='37 \\n \\nCourse Title : Statistical Methods in Computer Science \\nCourse Code : CS652 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The module provides an introduction to statistics and probability for computer \\nscientists. The aim is to provide the basic grounding needed for machine \\nlearning and algorithm performance analysis. It also covers the applications of \\nprobabilistic and statis tical techniques to algorithms, speech/image processing, \\nand robotics. \\n \\nCourse Details: \\nModule 1: Introduction to the probabilistic and statistical techniques u sed in modern computer systems, \\nbasics of probability and statistical estimation. [10H] \\nModule 2: Graphical models, Mixture models and the EM algorithm, HMM, Kalman Filters, Bayesian \\nNetworks, and Markov Networks, Variable elimination, junction tree, belief propagation. [10H] \\n \\nModule 3 Sampling-based inference, Probabilistic inference, statistical learning, learning Bayesian network, \\nlearning Markov models. [10H] \\n \\nModule 4: Decision th eory, Markov decision processes, applications of probabilistic and statistical \\ntechniques to algorithms, speech/image processing, robotics. [10H] \\n \\nText/Reference books: \\n1. D. Koller, N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009. \\n2. Mari, Jean -François and Schott, René, Probabilistic and Statistical Methods in Computer Science \\nSpringer, 2001. \\n3. Frederick Jelinek, Statistical Methods for Speech Recognition, MIT Press, 1998. \\n4. Schuyler W. Huck, Reading Statistics and, Research, Fourth Edition, Pearson Education Inc., 2004. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 38}, page_content='38 \\n \\nCourse Title : Artificial Intelligence \\nCourse Code : CS653 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will understand the principles and development of artificial \\nintelligence. They will also learn its many applications in different areas. \\n \\nCourse Details: \\nModule 1: Overview: foundations, scope, problems, and approaches of AI, Intelligent agents: reactive, \\ndeliberative, goal-driven, utility-driven, and learning agents, Artificial Intelligence programming techniques. \\nProblem-solving through Search: forward and backward, state-space, blind, heuristic, problem-reduction, A, \\nA*, AO*, minimax, constraint propagation, neural, stochastic, and evolutionary search algorithms, sample \\napplications. [10H] \\nModule 2: Knowledge Representation and Reasoning: ontologies, foundations of knowledge representation \\nand reasoning, representing and reasoning about objects, relations, events, actions, time, and space; \\npredicate logic, situation calculus, description logics, reasoning with defaults, reasoning about knowledge, \\nsample applications. Planning: planning as search, partial order planning, construction and use of planning \\ngraph. [10H] \\n \\nModule 3 : Representing and Reasoning with Uncertain Knowledge: probability, connection to logic, \\nindependence, Bayes rule, bayesian networks, probabilisti c inference, sample applications, Decision -\\nMaking: basics of utility theory, decision theory, sequential decision problems, elementary game theory, \\nsample applications. [10H] \\n \\nModule 4: Machine Learning and Knowledge Acquisition: learning from memorization , example s, \\nexplanation, and exploration, learning nearest neighbo ur, naive Bayes, and decision tree classifiers, Q -\\nlearning for learning action policies, applications, Sample Applications of AI. [10H] \\n \\nText/Reference books: \\n1. N. J. Nilsson, Artificial Intelligence-A Modern Synthesis. Palo Alto: Morgan Kaufmann, 1998. \\n2. N. J. Nilsson, Principles of Artificial Intelligence. Palo Alto, CA: Tioga, 1981. \\n3. E. Rich, K. Knight, Artificial Intelligence, New York: McGraw Hill, 1991. \\n4. S.S.V Chandra, S. A. Hareendran, Artificial Intelligence and Machine Learning, PHI, 2014. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 39}, page_content='39 \\n \\nCourse Title : Big data analytics \\nCourse Code : CS654 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will learn in-depth a wide range of fundamental algorithms and \\nprocessing platforms used in big data management. \\n \\nCourse Details: \\nModule 1: Introduction: Introduction: Big Data Challenges , Big Data Collection: Data Cleaning and \\nIntegration, Hosted Data Platforms and the Cloud. [10H] \\nModule 2: Big Data Systems: Characteristics of Big Data and Dimensions of Scalability, Multicore, \\nScalability, Security, User Interfaces for Data. [10H] \\nModule 3 : Big Data Storage Modern Databases, Distributed Computing Platforms, NoSQL, NewSQL. \\n[10H] \\n \\nModule 4: Big Data Analytics: Getting Value out of Big Data, Machine Learning Tools, Fast Algorithms, \\nData Compression, Information Summarization. [10H] \\n \\nText/Reference books: \\n1. Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea, Big Data: Algorithms, Analytics, and \\nApplications, CRC Press, 2015. \\n2. EMC Education Services, Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing \\nand Presenting Data, John Wiley & Sons, 2015. \\n3. DT Editorial Services, Big Data, Black Book: Covers Hadoop 2, MapReduce, Hive, YARN, Pig, R and \\nData Visualization, Dreamtech Press, 2016. \\n4. Arshdeep Bahga, Vijay Madisetti, Big Data Science & Analytics: A Hands-On Approach, VPT, 2016. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 40}, page_content='40 \\n \\n \\nCourse Title : Cloud Computing \\nCourse Code : CS655 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : This course is designed to introduce the concepts of cloud computing as a new \\ncomputing paradigm. The students will explore different views of \\nunderstanding the cloud computing such as theoretical, technical and \\ncommercial aspects. \\n \\nCourse Details: \\nModule 1: Security Overview of Distributed Computing: Trends of computing, Introduction to distributed \\ncomputing, N ext big thing: cloud computing, Introduction to Cloud Computing: Properties & \\nCharacteristics, Service models, Deployment models, Public cloud, private cloud and hybrid clouds. [10H] \\n \\nModule 2: Cloud Computing Models including Infrastructure/Platform/Software – as-a-service: Resource \\nVirtualization. [10H] \\nModule 3: Cloud platform & Management, Web services, Security and Privacy issues in the Cloud. [10H] \\n \\nModule 4: Cloud issues and challenges: Cloud OS, Cloud Architectures including Federated Clouds, \\nScalability, Performance, QoS. [10H] \\n \\nText/Reference books: \\n1. Kai Hwang, Jack Dongarra, Geoffrey C. Fox, Distributed and Cloud Computing, First Edition, Morgan \\nKaufmann, 2011. \\n2. Ray J Rafaels, Cloud Computing: From Beginning to End, Create Space Independent Publishing \\nPlatform, 2015. \\n3. Thomas Erl, Zaigham Mahmood, Ricardo Puttini , Cloud Computing: Concepts, Technology & \\nArchitecture, Prentice Hall, 2013. \\n4. Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi, Mastering Cloud Computing: Foundations \\nand Applications Programming, Morgan Kaufmann, 2013. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 41}, page_content=\"41 \\n \\n \\nCourse Title : Basic of Bioinformatics \\nCourse Code : CS656 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The basic objective is to give students an introduction to the basic practical \\ntechniques of bioinformatics. Emphasis will be given to the application of \\nbioinformatics and biological databases to problem solving in real research \\nproblems. \\nCourse Details: \\nModule 1: Introduction to bioinformatics and data generation: Bioinformatics and its relation with molecular \\nbiology, examples of related tools, databases, software and applications. Data generation: Generation of large \\nscale molecular biology data (through Genome sequencing, Protein sequencing, Gel electrophoresis, NMR \\nSpectroscopy, X-Ray Diffraction, and microarray). [10H] \\n \\nModule 2: Biological Database and its Types: Introduction to data types and source, population and sample, \\nclassification and presentation of data, quality of data, private and public data sources, Biological Databases, \\nNucleic acid databases, Protein databases, Specialized Genome and Structure databases. [10H] \\n \\nModule 3: Data Storage, Retrieval and Interoperability: Flat files, relational, object oriented databases and \\ncontrolled vocabularies, File Formats, Introduction to Metadata and search, challenges of data exchange and \\nintegration. Ontologies, interchange l anguages and standardization efforts. General Introduction to XML, \\nUMLS, CORBA, PYTHON and OMG/LIFESCIENCE. [10H] \\n \\nModule 4: Sequence Alignments and Visualization: Sequences, alignments and dynamic programming, local \\nand global alignment, pairwise alignmen t, and multiple sequence alignment . Methods for presenting large \\nquantities of biological data: sequence viewers, 3D structure viewers, and Anatomical visualization . Gene \\nExpression and Representation of patterns and relationship: Gene expression in prokar yotes and eukaryotes, \\ntranscription factors binding sites, Introduction to Regular Expression, Hierarchies, and Graphical models, \\nGenetic variability and connections to clinical data. [10H] \\n \\nText/Reference books: \\n1. Arthur M. Lesk, Introduction to Bioinformatics, Third Edition, Oxford University Press Inc., 2008. \\n2. Cynthia Gibas, Per Jambeck, Developing Bioinformatics Computer Skills: An Introduction to Software \\nTools for Biological Applications, O'Reilly Media, 2001. \\n3. David W. Mount, Bioinformatics: Sequence and Genome Analysis, Second Edition, CHS Press, 2001. \\n4. Jin Xiong, Essential Bioinformatics, Cambridge University Press, 2006. \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 42}, page_content='42 \\n \\n \\nCourse Title : Quantitative Methods in Software Engineering \\nCourse Code : CS671 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The student should be able to understand the basic ingredients of \\nexperimentation and empirical investigations in software engineering. After \\nlearning this course, the student should be able to design an experiment, \\nperform empirical study and should be a ble to validate the findings of the \\nempirical study. \\nCourse Details: \\nModule 1: Assessment in software engineering, Software measurement and metrics, Research method in SE \\n- Controlled experiment, Case studies, Surveys. [10H] \\n \\nModule 2: Controlled Experiments, Design of experiments, Simulation methods, Examples and case studies \\nfor controlled experimentations, Data collection and analysis, Validity and interpretation. [12H] \\n \\nModule 3: Case studies and surveys, Design and execution, Data collection, Data analysis, Statistical data \\nanalysis, Validity and interpretation. [10H] \\n \\nModule 4: Planning, Designing, Conducting empirical studies, Replication, Documentation, Review, \\nExamples. [8H] \\n \\nText/Reference books: \\n1. Natalia Juristo and Ana M. Moreno, Basics of Software Engineering Experimentation, Kluwer, 2001. \\n2. Forest Shull, Janice Singer, and Dag I.K. Sjøberg, Guide to Advanced Empirical Software Engineering, \\nSpringer, 2008. \\n3. Ruchika Malhotra, Empirical Research in Software Engineering: Concepts, Analysis, and Applications, \\nChapman and Hall/CRC, 2015. \\n4. C. Wohlin, P. Runeson, M. Höst, M.C. Ohlsson,, B. Regnell, and A. Wesslén, Experimentation in \\nSoftware Engineering, Springer, 2012. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 43}, page_content=\"43 \\n \\n \\nCourse Title : Software Testing and Quality Assurance \\nCourse Code : CS672 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The objective of the course is to introduce the basic software testing techniques \\nand trends followed in the software industry. After learning this course the \\nstudent should be abl e to perform black box and white box testing of small \\nsoftware systems. Further, he should be able to gain the experience of standard \\nopen source tools used in software testing. \\nCourse Details: \\nModule 1: Introduction to software quality, quality attributes, quality assurance. Software testing, testing \\nlevels, unit testing, unit testing frameworks like JUnit, integration testing, system testing, user acceptance \\ntesting, alpha and beta testing. [10H] \\n \\nModule 2: Testing techniques, black box techniques-equivalence partitioning, boundary value analysis, \\nWhite box techniques -structural testing, control flow based - block, branch, predicate, MCDC, path testing, \\ndata flow based -p-use, d -use, all -use, and others, mutation testing, coverage criteria and code coverage, \\nexamples and case studies. [10H] \\n \\nModule 3: Code reviews and inspections, Static code analysis, SCA tools (Findbugs, and others). Other \\nspecialized testing-performance testing, load testing, security testing, GUI testing. [10H] \\n \\nModule 4: Regression testing, comparing testing techniques, evaluations. Testing process, testing artifacts, \\ndefect classification, other dynamic analysis. [10H] \\n \\nText/Reference books: \\n1. Paul C. Jorgensen, Software Testing: A Craftsman's Approach, Third Edition, Auerbach \\nPublication, 2008. \\n2. Cem Kaner, Jack Falk, Testing Computer Software, Second Edition, Wiley, 1999. \\n3. Glenford J. Myers, The Art of Software Testing, Second Edition, John Wiley & Sons, 2004. \\n4. John D. McGregor, David A. Sykes, A Practical Guide to Testing Object -Oriented Software, First \\nEdition, Addison-Wesley Professional, 2001. \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 44}, page_content='44 \\n \\n \\nCourse Title : Human Computer Interaction \\nCourse Code : CS673 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The course introduces the elements of human computer interaction. After \\nlearning the course the student should be able to design interfaces and systems \\nwith due consideration to a user’s perspective. He/she should be able to \\nevaluate a system or a model with respect to the HCI standards. \\nCourse Details: \\nModule 1: Introduction to Human-Computer Interaction: design focus , human memory, thinking, reasoning \\nand problem solving, Psychology and the design of interactive systems, human factors. \\nTask-centered system design: task -centered process, development of task examples, evaluation of designs \\nthrough a task-centered walk-through. [8H] \\n \\nModule 2: User-centered design and prototyping: assumptions, participatory design, methods for involving \\nthe user, prototyping, low fidelity prototypes, medium fidelity. [10H] \\n \\nModule 3: Methods for evaluation of interfaces with users: goals of evaluation, approaches, ethics, \\nintrospection, extracting the conceptual model, direct observation, constructive interaction, interviews and \\nquestionnaires, continuous evaluation via user feedback and field studies, choosing an evaluation method. \\nBeyond screen design: characteristics of go od representations, information visualization, Tufte’s guidelines, \\nvisual variables, metaphors, direct manipulation. [12H] \\n \\nModule 4: Graphical screen design: graphical design concepts, components of visible language, graphical \\ndesign by grids. Design principles and usability heuristics: design principles, principles to support usability, \\ngolden rules and heuristics, HCI patterns, HCI design standards: process-oriented standards, product-oriented \\nstandards, strengths and limitations of HCI Standards. [10H] \\n \\nText/Reference books: \\n1. Alan Dix, Janet Finlay, Gregory D. Abowd, and Russell Beale., Human -Computer Interaction , Third \\nEdition, Prentice Hall, 2004. \\n2. Yvonne Rogers, Helen Sharp and Jenny Preece, Interaction Design: Beyond Human Computer \\nInteraction, Third Edition, Wiley, 2011. \\n3. Serengul Smith-Atakan, Human-Computer Interaction: Basics and Practice, Ceneage Learning India Pvt \\nLtd, First Edition, 2010. \\n4. Julie A. Jacko, Human Computer Interaction Handbook: Fundamentals, Evolving Technologies, and \\nEmerging Applications, Third Edition, CRC Press, 2012. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 45}, page_content='45 \\n \\n \\nCourse Title : Distributed Systems \\nCourse Code : CS674 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The aim of this course to learn different distributed architectures and how to \\ndevelop efficient processes for these architectures \\n \\nCourse Details: \\nModule 1: Distributed systems and their types , System architectures and self -management in distributed \\nsystems, Processes, Communication. [10H] \\nModule 2: Flat, structured and attribute based naming, Synchronization, Consistency models and protocols, \\nReplica management. [10H] \\n \\nModule 3: Fault Tolerance, Reliable schemes, Error models and recovery, Security management. [10H] \\n \\nModule 4: Case studies: Distributed Object -based Systems, Distributed File Systems, Distributed Web -\\nbased Systems, and Distributed Coordination-based Systems. [10H] \\n \\nText/Reference books: \\n1. A. S. Tanenbaum, Distributed Systems: Principles and Paradigms, PHI, 2007. \\n2. G. Coulouris, J. Dollimore, T. Kindberg, Distributed Systems, Pearson, 2009. \\n3. H. E. Bal, Programming Distributed Systems, Silicon Press, 1990. \\n4. Sukumar Ghosh, Distributed Systems: An Algorithmic Approach, CRC Press, 2015. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 46}, page_content='46 \\n \\n \\nCourse Title : Coding Theory \\nCourse Code : CS681 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will be introduced fundamental concepts, theoretical aspects, \\nalgorithmic questions and applications of coding theory. They will also learn \\nthe basics of algebraic coding theory, convolutional codes, turbo codes and \\nspace-time codes. \\n \\nCourse Details: \\nModule 1: Review of basic concepts: probabilit y including Bayesian analysis, Introduction to entropy and \\ninformation content, Basics of coding theory: Finite fields, linear codes, generator and parity check matrices. \\n[10H] \\nModule 2: General theory of data compressions: Overview of specific data compression techniques, \\nChannel capacity theory, Shannon’s Noisy Channel Coding Theorem. [10H] \\nModule 3: Some Interesting Codes: Repetition Codes, Hamming Codes, Hadamard Codes Cyclic Codes, \\nBCH Codes, Reed-Solomon Codes, The Golay Codes. [10H] \\n \\nModule 4: Bounds on Codes: Krawtchouk Polynomials and the Linear Programming Bound, Asymptotic \\nBounds, Evaluation of different coding techniques in specific situations [10H] \\n \\nText/Reference books: \\n1. J. H. van Lint, Introduction to Coding Theory, Third Edition. Graduate Texts in Mathematics, Springer \\nVerlag, Berlin, 1999. \\n2. W. C. Huffman and V. Pless, Fundamentals of error -correcting codes. Cambridge University Press, \\nCambridge, 2003. \\n3. D. R. Hankerson, D. G. Hoffman, D. A. Leonard, C. C. Lindner, K. T. Phelps, C. A. Rodger , J. R. \\nWall, Coding Theory and Cryptography: The Essentials, Second Edition, New York: Marcel Dekker, \\n1991. \\n4. M. Sudan, MIT Lecture Notes on Coding Theory, http://people.csail.mit.edu/madhu/FT01/. \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 47}, page_content='47 \\n \\n \\n \\nCourse Title : Cyber security \\nCourse Code : CS682 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : This course covers the basics of the current leading cybersecurity topics and \\nNetwork Security providing an opportunity to the listeners to understand the \\nsecurity concerns, vulnerabilities, attacks and to plan and implement the desired \\ne-Security solutions. \\n \\nCourse Details: \\nModule 1: Security Concepts and Mechanisms: Overview of Networking Concepts, Information Security \\nConcepts, Security Threats and Vulnerabilities, Cryptography [10H] \\nModule 2: Security Management: Security Management Practices, Security Laws and Standards. [10H] \\nModule 3: Information and Network Security: Access Control and Intrusion Detection, Server Management \\nand Firewalls, Security for VPN and Next Generation Technologies. [10H] \\n \\nModule 4: System and Application Security: Security Architectures and Models, System Security, OS \\nSecurity. [10H] \\n \\nText/Reference books: \\n1. M. Shema, Anti-Hacker Tool Kit, Fourth Edition, McGraw Hill, 2014. \\n2. N. Godbole and S . Belpure, Cyber Security : Understanding Cyber Crimes, Computer Forensics and \\nLegal Perspectives, Wiley India Pvt Ltd, 2011. \\n3. Dieter Gollmann, Computer Security, Third Edition, Wiley, 2011. \\n4. Ross Anderson, Security Engineering: A Guide to Building Dependable Distributed Systems, Second \\nEdition, Wiley, 2008. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 48}, page_content='48 \\n \\n \\nCourse Title : Visual Cryptography and Data Hiding \\nCourse Code : CS683 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The student should be able to understand the concept and importance of Visual \\nCryptography (VC) and data hiding in images. The student will have an \\nexposure to some of the r ecent trends followed in VC and data hiding in \\nimages. He/she would be able to implement some of the fundamental \\ntechniques of VSS and data hiding. \\n \\nCourse Details: \\nModule 1: Introduction, Visual Secret Sharing (VSS), definition and construction, Naor and Shamir’s (k,n) \\nVSS, Proof of correctness, Contrast and pixel expansion, Contrast bounds. [10H] \\nModule 2: Visual Cryptography for multiple secrets, Two secret sharing, Multiple secret sharing, XOR \\nbased visual cryptography, Random grids, Visual cryptograms of random grids. [10H] \\nModule 3: Colour image VSS, Color superposition, Formal models for color visual cryptography, Schemes \\nfor the sc model, Schemes for the nd model, Schemes for the general model, Chaotic map based VSS \\ntechniques. [10H] \\n \\nModule 4: Data hiding schemes, Characteristics of data hiding schemes: Security, Payload, Imperceptibility, \\nReversible data hiding schemes, Random grid based methods, Applications in digital image watermarking. \\n[10H] \\n \\nText/Reference books: \\n1. Stelvio Clemato and Ching -Yung Yang, Visual Cryptography and Secret Image Sharing, CRC Press, \\n2012. \\n2. Feng Liu and Wei Qi Yan, Visual Cryptography for Image Processing and Security: Theory, Methods, \\nand Applications, Springer, 2015. \\n3. Husrev T. Sencar, Mahalingam Ramkumar, and Ali N. Akansu, Data Hiding Fundamentals and \\nApplications: Content Security in Digital Multimedia, Elsevier Publication, 2004. \\n4. Pierre Moulin and Alan Bovik, Data Hiding (Synthesis Lectures on Image, Video, and Multimedia \\nProcessing), Morgan and Claypool Publishers, 2007. \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 49}, page_content='49 \\n \\nCourse Title : Cryptography and Network Security \\nCourse Code : CS684 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : The students will learn the fundamental concepts, theory and techniques of \\nCryptography and its application to Network Security. \\n \\nCourse Details: \\nModule 1: Conventional Cryptography: Classical encryption techniques, Finite fields, Perfect Secrecy DES, \\nAES and other symmetric cryptography. [10H] \\nModule 2: Number Theory, public key cryptography: RSA, ElGamal, and Elliptic Curve Cryptography, \\nKey management. [10H] \\nModule 3: Authentication: Message authentications and hash functions, hash algorithms, Digital Signatures \\nand Authentication Protocols. [10H] \\n \\nModule 4: Network and System Security: Vulnerability, Monitoring/Sniffing, Spoofing, Firewalls, Intrusion \\nDetection, PGP, Kerberos, IPSec, SSL. [10H] \\n \\nText/Reference books: \\n1. C. Kaufman, R. Perlman, M. Speciner, Network Security, Second Edition, Pearson Education, 2006. \\n2. B. A. Forouzan, Cryptograpgy and Network Security, Tata McGraw Hill, 2007. \\n3. A. D. Rubin, White Hat Security Arsenal: Tackling the Threats, Addison-Wesley, 2001. \\n4. P. Garrett, Making and Breaking Codes- An Introduction to Cryptology, Prentice-Hall, 2001. \\n5. N. Smart, Cryptography: An Introduction, McGraw-Hill, 2002. \\n6. B. Schneier, Applied Cryptography, Second Edition, John Wiley & Sons Inc., 1996. \\n7. A. Menezes, P. van Oorschot, S. Vanstone, Handbook of Applied Cryptography, CRC Press, 1997. \\n8. W. Stallings, Cryptography and Network Security: Principles and Practice, Fifth Editi on, Prentice Hall, \\n2011. \\n9. D.R. Stinson, Cryptography: Theory and Practice, Third Edition, CRC Press, 2006. \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 50}, page_content='50 \\n \\nCourse Title : Advanced Computer Architecture \\nCourse Code : CS691 Course Type : Elective \\nContact Hours : L- 3 T- 0 P- 0 Credit : 4 \\nProgram/Semester : UG/PG/ Semester-I,II \\nPre-requisites : None \\nEvaluation Scheme : Quiz I (10%), Mid-Term (20%), Quiz II (10%), End term (40%), Project (20%) \\nLearning Objective : Students would be able to learn the advanced concepts of c omputer \\nArchitecture, e.g., Pipelining, Advanced Arithmetic Unit, Protection \\nMechanism and High Performance Computing. \\n \\nCourse Details: \\nModule 1: Microprocessor Advances, Number of transistors, Chip size, Power dissipation, Simplified \\nComputer structure, Clock synchronous design, Instruction fetch, decode, and execute. Pipeline Execution, \\nEliminating structural hazard, Resource scheduling, Data hazard, Pipeline control, Branch instruction \\nexecution, Pipeline processor performance, Number of pipeline stages. [10H] \\nModule 2: Parallel prefix Adder, Kogge -Stone adder, Han -Carlson adder , Multiplier, Binary multiplier, \\nBooth’s algorithm, Radix -4 modified Booth algorithm, Wallace tree, Pipelined Multiplier , Division, \\nRestoring division, Non restoring division, SRT division, Floating point numbers, IEEE754, Floating point \\nadder, Floating point multiplier, Iterative floating point division, Newton -Raphson method, Goldschmidt \\nmethod. [10H] \\nModule 3: Memory management and Protection Mechanism: Segment and page based mem ory \\nmanagement, Page table, Memory protection, Translation look -aside buffer (TLB), Multi -level page table, \\nLarge page, Virtually indexed-physically tagged cache, TLB for multi-processing. \\nSuperscalar execution, Out-of-Order execution, Anti-dependency hazard, Register renaming, Reorder buffer, \\nPipelined non -blocking cache, Load store unit, Commit mechanism, Control hazard reduction, Branch \\nprediction, Branch target buffer, Return stack. [10H] \\n \\nModule 4: Shared Memory system, Cache coherency, MSI protocol, snoop invalidate and snoop writeback, \\nMESI, MOSI, MOESI, MESIF protocol, False sharing, Multiprocessor memory access, Mutual exclusion, \\nAtomic memory access, Shared memory system, Distributed memory system, Static and dynamic networks, \\nStatic network topologies, Bisection band width, network diameter, dynamic network topology, Fat tree, \\nShared memory multiprocessor OS. [10H] \\n \\nText/Reference books: \\n1. D. A. Patterson, J . L. Hennessy, Computer Organization and Design, Fifth Edition , The Hardware/ \\nSoftware Interface (The Morgan Kaufmann Series in Computer Architecture and Design), 2007. \\n2. Kai Hwang , Advanced Computer Architecture: Parallelism, Scalability, Programmability, Fourteenth \\nReprint, TMH, 2007. \\n3. Kai Hwang, N. Jotwani. Advanced Computer Architecture, 3e. McGraw-Hill Education, 2011. \\n4. Michael J. Flynn, Computer Architecture: Pipelined and Parallel Processor Design, Jones & Bartlett \\nLearning, 1995. \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 51}, page_content='51 \\n \\nElectives in Modular Form Courses Description \\nCourse Title : Advanced Topics in Computer Architecture \\nCourse Code : EM601a Course Type : EMF \\nContact Hours : L- 2 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : Students would be able to learn the advanced concepts of Computer \\nArchitecture, e.g., Pipelining, Advanced Arithmetic Unit, Protection \\nMechanism and High Performance Computing. \\n \\nCourse Details: \\nModule 1: Pipeline execution and Hazard avoidance: Simplified Computer structure, Clock synchronous \\ndesign, Instruction fetch, decode, Operand read, ALU operation, LSU operation, Result write back; Pipeline \\nExecution, Eliminating structural hazard, Resource scheduling, Data hazard, Pipeli ne control, Branch \\ninstruction execution, Pipeline processor performance, Number of pipeline stages. Advanced Arithmetic \\nUnits: Parallel prefix Adder, Kogge -Stone adder, Han -Carlson adder; Multiplier, Wallace tree, Pipelined \\nMultiplier; Floating point numb ers, IEEE754, Floating point adder, Floating point multiplier, Iterative \\nfloating point division, Newton-Raphson method, Goldschmidt method. [10H] \\nModule 2 : Architectures for Higher Performance: Superscalar execution, Out -of-Order execution, Anti -\\ndependency hazard, Register renaming, Reorder buffer, Pipelined non -blocking cache, Load store unit, \\nMemory dis-ambiguation, Commit mechanism, Control hazard reduction, Branch prediction, Single level \\n2bit predictor, Tow level predictor, Branch target buffer, Retur n stack. Multi-processor System: Shared \\nMemory system, Cache coherency, MSI protocol, snoop invalidate, snoop writeback, MESI, MOSI, \\nMOESI, MESIF protocol, False sharing; Multiprocessor memory access, Mutual exclusion, Atomic memory \\naccess; Shared memory s ystem, Distributed memory system; Static and dynamic networks, Static network \\ntopologies, Bisection band width, network diameter, dynamic network topology, Fat tree; Shared memory \\nmultiprocessor OS, Shared memory system programming, fork exec, pthread, Ope nMP, Multiprocessing \\nwith distributed memory system, Programming with MPI Library. [10H] \\nText/ Reference books: \\n1. D. A. Patterson, and J. L. Hennessy, Computer Organization and Design, Fifth Edition: The \\nHardware/Software Interface (The Morgan Kaufmann Series in Computer Architecture and Design), \\nFourth Edition, Morgan Kaufmann, 2008. \\n2. K. Hwang, Advanced Computer Arch itecture: Parallelism, Scalability, Programmability, First Edition, \\nTata McGraw-Hill Education, 1993. \\n3. K. Hwang, and N. Jotwani, Advanced Computer Architecture, Third Edition, McGraw-Hill, 2011. \\n4. M. J. Flynn, Computer Architecture: Pipelined and Parallel Pr ocessor Design, Jones & Bartlett \\nLearning, 1995. \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 52}, page_content='52 \\n \\nCourse Title : Parallel Processing \\nCourse Code : EM601d Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : Students will get familiarized with different parallel architectures and efficient \\nways to utilize them. \\n \\nCourse Details: \\nModule 1 : What is parallel processing? Why needed? History of Super computers and Trends. \\nClassification of Parallel Architecture (Form CPU to system), Memory architecture (Shared, distributed). \\nComputational Models. Parallel Algorithms: Serial vs. Parallel Algorithms. Hardware Realization and \\nExamples of special –purpose processors. Parallel Programming Languages: Relations between parallel \\nlanguages and architecture. Parallel language for shared-memory architecture – open MP. Parallel languages \\nfor Distributed -memory architecture - Message passing Interface. Applic ation Areas for the large scale \\nscientific computation/simulation. Grid computing and cloud. [10H] \\nText/ Reference books: \\n1. P. Pacheco, Introduction to Parallel programming, First Edition, Morgan Kaufmann, 2011. \\n2. P. Pacheco, Parallel programming with MPI, Morgan Kaufmann, 1996. \\n3. R. K. Ghosh, P. Gupta, and R. Moona, Foundation of Parallel Processing, Narosa Publication, 1995. \\n4. E. H. D. Hollander, G. R. Joubert, F. J. Peters, and U. Trottenberg, Parallel Computing: Fundamentals, \\nApplications and new directions, Elsevier, 1998. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 53}, page_content='53 \\n \\nCourse Title : Dependable Computing \\nCourse Code : EM601h Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : Understanding basic concepts, methods and techniques for realizing dependable \\ninformation systems in the presence of human mistakes and physical \\nmalfunctions. \\n \\nCourse Details: \\nModule 1 : Introduction of Dependable Computing. Error Detection: Error models, Evaluation Metrics, \\nRedundancy techniques, and Error -detecting Codes. Fault Tolerance and Recovery, Issues in Distributed \\nSystems: Clock Synchronization, Mutual Exclusion, Concurrency control, Multiple copy update , Error \\nrecovery. Dependability Evaluation: Dependability over system’s lifetime from users’ point of view, \\nEvaluation matrices, and Fault modelling. [10H] \\n \\nText/ Reference books: \\n1. J. C. Avizienis, B. Laprie, Randell, C. Landwehr: Basic Concepts and Taxon omy of Dependable and \\nSecure Computing, IEEE Trans. on Dependable and Secure Computing, V ol.1, no.1, Jan.-March 2004. \\n2. D. P. Siewiorek, R. Swartz: Reliable Computer Systems, Design and Evaluation, Third Edition, A K \\nPeters, Ltd., 1998. \\n3. K. Kanoun, L.Spainhow er: Dependability Benchmarking for Computer Systems, IEEE Computer \\nSociety / John Wiley & Sons, 2008, 1995. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 54}, page_content='54 \\n \\nCourse Title : Artificial Intelligence and its Applications \\nCourse Code : EM602d Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : In this course, the brief history of AI is lectured first. Then the main function of \\nAI is explained, which are “knowledge representation”, “search” and \\n“decision”. After that several hot topics of state-of-the-art AI will be discussed. \\n \\nCourse Details: \\nModule 1: Brief history of AI, Examples of AI systems and basic components in AI. Knowledge \\nrepresentation, Symbol based and signal based knowledge representations, Search of planning, Tree search, \\nBeam search, Recognition and optimization, machine learning and AI, Applications of AI : speech and \\ndialogue recognition, image recognition, natural language processing. [10H] \\nText/ Reference books: \\n1. N. J. Nilsson, Artificial Intelligence - A New Synthesis, Morgan Kaufmann, 1998. \\n2. N. J. Nilsson, Principles of Artificial Intelligence, Morgan Kaufmann, 1980. \\n3. P. H. Winston, Artificial Intelligence, Addison-Wesley Longman Publishing, 1992. \\n4. S. S. V. Chandra, Artificial Intelligence and Machine Learning, PHI Learning, 2014. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 55}, page_content='55 \\n \\nCourse Title : Bayesian Classifiers \\nCourse Code : EM602e Course Type : EMF \\nContact Hours : L- 2 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : The course will provide students sufficient knowledge about the Bayesian \\nclassifier. This course will cover the other classifiers from the Bayesian \\nclassifier. \\n \\nCourse Details: \\nModule 1: Bayes Decision Theory, Minimum Error and Minimum Risk Classifiers, Discriminant Function \\nand Decision Boundary, Normal Density, Discriminant Function for Discrete, Features, Parameter \\nEstimation. [20H] \\nText/ Reference books: \\n1. R. O. Duda, P. E. Hart, and D. G. Strok, Pattern Classification, Second Edition, Wiley Inderscience, \\n2000. \\n2. C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics), \\nSpringer, 2006. \\n3. T. M. Mitchell, Machine Learning, Mcgraw Hill Education, 1997. \\n4. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Fifth Edition, Academic Press, 2008. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 56}, page_content='56 \\n \\nCourse Title : Introduction to Coding Theory \\nCourse Code : EM605f Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : This course introduces the theory of error -correcting codes with a focus on the \\nasymptotic, algebraic, and algorithmic aspects. \\n \\nCourse Details: \\nModule 1: Basic concepts of codes and finite fields, linear code, Bounds on the size of codes, cyclic codes, \\nand basic of BCH codes and Reed Solo man Codes. [10H] \\nText/ Reference books: \\n1. J. H. V . Lint, Introduction to coding theory, Third Edition, Springer-Verlag New York, 1998. \\n2. W. C. Huffman and V . Pless, Fundamentals of error-correcting codes. Cambridge University Press, \\n2003. \\n3. D. R. Hankerson, D. G. Hoffman, D. A. Leonard, C. C. Lindner, K. T. Phelps, C. A. Rodger,and J. R. \\nWall, Coding theory and cryptography: The essentials, Second Edition, CRC press, 2000. \\n4. M. Sudan’s MIT lecture notes on coding theory which are available online \\nhttp://people.csail.mit.edu/madhu/FT01/ \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 57}, page_content='57 \\n \\nCourse Title : Network Flow Optimization \\nCourse Code : EM605h Course Type : EMF \\nContact Hours : L- 2 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Test / Assignments/Project (20%), Mid-term (30%), End term (50%) \\n(Tentative) \\nLearning Objective : Basic objective of the course is to provide a brief introduction to network flow \\noptimization problems, their applications and different algorithmic solutions. \\n \\nCourse Details: \\nModule 1: : Introduction and applications of network flow optimization problems, Maximum flow \\nproblem, Basic ideas, Generic augmenting path algorithm, Labeling algorithm and the Max -Flow Min-Cut \\nTheorem, Flows with lower bounds. Efficient Max flow algorithms, Poly nomial time algorithms -Capacity \\nscaling. [10H] \\nModule 2 : Minimum cost flows, Optimality conditions, Minimum cost flow duality, successive shortest \\npath algorithm, Primal-dual algorithm, Minimum spanning trees, A brief introduction to sensitivity analysis, \\nLagrange relaxation and network optimization; Generalized flows; Multi -commodity flows; Recent Trends. \\n[10H] \\nText/ Reference books: \\n1. R. K. Ahuja, T. L. Magnant, and J. B. Orlin, Network Flows: Theory, Algorithms, and Applications, \\nPrentice Hall, 1993. \\n2. L. Ambrosio, A. Bressan, D. Helbing, A. Klar, and E. Zuazua, Modelling and Optimization of Flows \\non Networks, Springer, 2013. \\n3. T. Michael, Flow Networks, First Edition, Elsevier Publication, 2013. \\n4. H. A. Eiselt and C. L. Sandblom, Integer Programming and Network Models, Springer, 2000. \\n5. MIT Open Courseware. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 58}, page_content='58 \\n \\nCourse Title : External Memory Algorithms \\nCourse Code : EM605i Course Type : EMF \\nContact Hours : L- 2 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : We will study the design and analysis of efficient external memory algorithms \\nand data structures. \\n \\nCourse Details: \\nModule 1: Hierarchical memory levels performance characteristics, parallel disk model, Cache oblivious \\nalgorithms, Fundamental I/O operations, design and analysis of efficient external memory algorithms for \\nsome representative problems: Sorting, permutation, search ing Depth first search, breadth first search, \\nMinimum spanning forest, connected components, single source shortest path. [10H] \\nModule 2 : External Memory Data Structures: B Tree, B+ Tree and Buffer Tree. Large Matrix \\nComputations: Matrix multiplications, L U, Cholesky and QR decomposition, System of linear equations, \\nEigenvalue Problems. [10H] \\nText/ Reference books: \\n1. J. S. Vitter, External Memory Algorithms and Data Structures: Dealing with massive data. ACM \\nComputing Surveys, 33 (2), June 2001, 209-271. \\n2. Course Material on External Memory Algorithms and Data Structures \\nhttp://www.cs.au.dk/~gerth/emf03/. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 59}, page_content=\"59 \\n \\nCourse Title : Design of Extensible Application in Java \\nCourse Code : EM607a Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : In this course, students will learn advance topics of JA V A. \\n \\nCourse Details: \\nModule 1: Introduction to modularity and Extensible application. Design of simple car Vendor application \\nfor Airport. Introduction to Java Script Loader and Reflection. Introduction to Eclipse Plugin Development. \\nWriting Extensible Plugins. Re-Writing the Car Vendor Application using Plugin Architecture. [10H] \\nText/ Reference books: \\n1. B. Bates, K. Sierra, and B. Basham, Head First Servlets & JSP, Second Edition, O'Reilly Media, 2011. \\n2. D. C. Ashmore, The Java EE Architect's Handbook, Second Edition: How to be a successful \\napplication architect for Java EE applications, Second Edition, DVT Press, 2014. \\n3. H. Schildt, Java: The Complete Reference, Ninth Edition, McGraw Hill, 2014. \\n4. C. Horstmann and G. Cornell, Core java (TM) 2, Volume II - Advance Features, Seventh Edition, \\nPrentice Hall PTR Upper Saddle River, NJ, USA, 2004. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 60}, page_content='60 \\n \\nCourse Title : Modelling and Simulation \\nCourse Code : EM608a Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : This course will cover the representation and simulation of physical systems \\nusing a range of mathematical formulations. \\n \\nCourse Details: \\nModule 1: Nature of computer modeling & simulation – continues versus discrete approach. Use of \\nsimulation and its appropriateness, limitations, areas of application and recent applications. Concepts, \\nsystems approach to problem – solving, characteristics of a systems; state of a system, system s boundary \\nand environment, different views of systems. Types of models, modeling methodology, models from various \\ndomains. Poisson arrival patterns, Exponential distribution, Service times, Normal Distribution. Queuing \\nDisciplines, simulation of single an d two server queue, Application of queuing theory in computer system. \\n[10H] \\nText/ Reference books: \\n1. B. P. Zeigler, T. Kim, and H. Praehofer, Theory of Modeling and Simulation, Second Edition, \\nAcademic Press, 2000. \\n2. J. Banks, Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, \\nJohn Wiley & Sons, New York, 2007. \\n3. A. J. Sokolowski and C. M. Banks, Principles of Modeling and Simulation: A Multidisciplinary \\nApproach, John Wiley & Sons, Hoboken, New Jersey, 2009. \\n4. A.M. Law, and W.D. Kelton, Simulation Modeling and Analysis, Third Edition, McGraw Hill, New \\nYork, NY , 2000. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 61}, page_content='61 \\n \\nCourse Title : Graphical Models \\nCourse Code : EM608b Course Type : EMF \\nContact Hours : L- 2 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : The aim of this course is to make it possible to understand a wide variety of \\nnetwork-based approaches to computation, and in particular to understand \\nmany neural network algorithms and architectures as instances of a broader \\nprobabilistic methodology. \\n \\nCourse Details: \\nModule 1: Introduction and Foundations of probability, Structured Probabilistic Models, Probability \\nTheory, Graphs, Bayesian Network Representation Exploiting independence Properties, Bayesian Networks, \\nIndependencies in Graphs, From Distributions to Graphs. [10H] \\nModule 2: Undirected graphical Models, The Misconception Example, Parameterization, Markov Network \\nIndependencies, Bayesian Networks and Markov Networks, Partially Directed Models. [10H] \\nText/ Reference books: \\n1. D. Koller, and N. Fridman, Probabilistic Graphical Models Principles and Techniques, MIT press, \\n2009. \\n2. M. I. Jordan and T. J. Sejnowski, Graphical Models: Foundations of Neural Computation, MIT Press \\nCambridge, MA, USA, 2001. \\n3. S. L. Lauritzen, Graphical Models, Oxford University Press, 1996. \\n4. A. Mittal, Bayesian Network Technologies: Applications and Graphical Models, IGI Publishing \\nHershey, PA, USA, 2007. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 62}, page_content='62 \\n \\nCourse Title : Public Key Cryptography \\nCourse Code : EM609b Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : This course covers the fundamental principle of public key cryptosystems and \\ntheir applications. In this course application of finite fields in public key \\ncryptography are shown. \\n \\nCourse Details: \\nModule 1: Principles of public-key cryptosystems, RSA algorithm, Diffie-Hellman key exchange, ElGamal \\ncryptosystem and digital signature. [10H] \\nText/ Reference books: \\n1. W. Stallings, Cryptography and Network Security: Principles and Practice, Fifth Edition, Prentice Hall, \\n2011. \\n2. C. Kaufman, R. Perlman, and M. Speciner, Network Security, Second Edition, Pearson Education, \\n2006. \\n3. B. A. Forouzan, Cryptograpgy and Network Security, Tata McGraw Hill, 2007. \\n4. A. D. Rubin, White Hat Security Arsenal: Tackling the Threats, Addison-Wesley, 2001. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 63}, page_content='63 \\n \\nCourse Title : Speech and Music Signal Processing \\nCourse Code : EM609c Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : In this lecture, I will start with explaining how analog sound signal is digitized, \\nfiltered, encoded and decoded. Next, Physiological basic speec h production as \\nwell as hearing is presented, followed by principle of analysis -synthesis of \\nspeech signal. \\n \\nCourse Details: \\nModule 1: Basic physics of sound, analog and digital signals, Analog to digital/digital to analog conversion \\nfrequency and the Fourier transform, the sampling theorem, Basic of digital filter production and perception \\nof speech signal, basic codes of speech signal Linear prediction coding and CELP. [10H] \\nText/ Reference books: \\n1. S. Tempelaars, Signal Processing, Speech and Music (Studies on New Music Research), First Edition, \\nRoutledge, 1996. \\n2. B. Gold, and M. Nelson, Speech and Audio Signal Processing: Processing and Perception of Speech \\nand Music, Second Edition, John Wiley & Sons, Inc. New York, NY, USA, 2011. \\n3. J. Beauchamp, Analysis, Synthesis, and Perception of Musical Sounds: The Sound of Music (Modern \\nAcoustics and Signal Processing), Springer, 2006. \\n4. S. V. Vaseghi, Multimedia Signal Processing: Theory and Applications in Speech, Music and \\nCommunications, John Wiley & Sons, 2007. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 64}, page_content='64 \\n \\nCourse Title : Selected Topics in Cyber Security \\nCourse Code : EM609e Course Type : EMF \\nContact Hours : L- 10 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : This course will discuss principles of data and technology that frame and define \\ncyber security. Learners will gain insight into the importance of cyber security \\nand explore foundational cyber security principles, security architecture and \\nemerging IT and IS technologies. \\n \\nCourse Details: \\nModule 1: Basic concepts: threats, vulnerabilities, controls; risk; confidentiality, integrity, availability etc. \\nCryptographic background for Applied Cyber Security, Public -key infrastructure, New Crypto Currency, \\nHistory of Digital -money including basic techniqu es, Bitcoin as a new Crypto Currency, Web -Forensic, \\nForensic vs. Anti -forensic in Biometrics, Mobile Security, Network -Storage Security including Secret \\nSharing, Mathematical & coding theory background, Network Security including malware, BotNet -\\nprevention. [10H] \\nText/ Reference books: \\n1. N. Godbole and S. Belapur, Cyber Security, Wiley, 2011. \\n2. P. Warren, Cybersecurity and Cyberwar: What Everyone Needs to Know, Oxford University Press, \\n2014. \\n3. http://www.cl.cam.ac.uk/~rja14/book.html \\n4. http://www.freetechbooks.com/information-security-f52.html \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 65}, page_content='65 \\n \\n \\nCourse Title : Computational Number Theory and Cryptography \\nCourse Code : EM609g Course Type : EMF \\nContact Hours : L- 20 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : This course provides fundamental concepts of computational number theory \\nand applications of number theory in cryptography with emphasis on \\ncomputability. \\n \\nCourse Details: \\nModule 1: Computational complexity, GCD computations, finite fields, modular arithmetic. [10H] \\nModule 2: Integer factorization, discrete logarithmic, Decisional Bilinear Diffie -Hellman Problem public \\nkey cryptography, hash function and digital signature. [10H] \\nText/ Reference books: \\n1. W. Stallings, Cryptography and Network Security: Principles and Practice, Fifth Edition, Prentice Hall, \\n2011. \\n2. C. Kaufman, R. Perlman, M. Speciner, Network Security, Second Edition, Pearson Education, 2006. \\n3. B. A. Forouzan, Cryptography and Network Security, Tata McGraw Hill, 2007. \\n4. A. D. Rubin, White Hat Security Arsenal: Tackling the Threats, Addison-Wesley, 2001. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 66}, page_content='66 \\n \\n \\nCourse Title : Elementary Number Theory \\nCourse Code : EM609h Course Type : EMF \\nContact Hours : L- 2 T- 0 P- 0 Credit : 2 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : This course provides fundamental concepts of computational number theory \\nand applications of number theory in cryptography with emphasis on \\ncomputability. \\n \\nCourse Details: \\nModule 1: Well ordering property, divisibility of integers, GCD computations, finite fields, modular \\narithmetic, linear congruence, Chinese remainder theorem. [10H] \\nModule 2 : Integer factorization, Primality testing, Quadratic Residues, Legendre and Jacobi Symbols, \\nDiscrete logarithmic, Decisional Bilinear Diffie-Hellman Problem. [10H] \\nText/ Reference books: \\n1. David M. Burton, Elementary Number Theory, Seventh Edition, McGraw Hill, 2017. \\n2. Ivan Niven, Herbert S. Zuckerman, Hugh L. Montgomery, An Introduction to the Theory of Numbers, \\nFifth Edition, John Wiley & Sons, 1991. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\cse.pdf', 'page': 67}, page_content='67 \\n \\n \\nCourse Title : Software Quality Assurance \\nCourse Code : EM668g Course Type : EMF \\nContact Hours : L- 1 T- 0 P- 0 Credit : 1 \\nProgram/Semester : UG/PG, I/ II \\nPre-requisites : None \\nEvaluation Scheme : Mid-Term (30%), End Term (70%) (Tentative) \\nLearning Objective : Understanding the overview and practical techniques in software quality \\nassurance, especially review, testing and measurement. \\n \\nCourse Details: \\nModule 1: Quality Assurance and Review in Software Engineering. Software Testing, testing techniques, \\nsoftware measurement, GQM, Future of Software Quality Assurance. [10H] \\nText/ Reference books: \\n1. Paul C Jorgensen, Software Testing – A Craftsman’s Approach, 4nd Edition CRC Press, 2013. \\n2. Pankaj Jalote, Integrated Approach to Software Engineering, 3rd Edition, Narosa, 2007. \\n3. Glenford J. Myers, Corey Sandler, Tom Badgett – The art of Software Testing, 3rd Edition Wiley, 2011. \\n4. Mauro Pezze, Michal Young, Software Testing and Analysis: Process, Principles and Techniques, Wiley, \\n2008. \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 0}, page_content='MINISTRY OF LAW AND JUSTICE\\n(Legislative Department)\\n————\\nNew Delhi, the 9th December, 2014/Agrahayana 18, 1936 (Saka).\\nThe following Act of Parliament received the assent of the President on the\\n8th December, 2014, and is hereby published for general information:—\\nTHE INDIAN INSTITUTES OF INFORMATION TECHNOLOGY\\nACT, 2014\\n(NO. 30 OF 2014)\\n[8th December, 2014.]\\nAn Act to declare certain institutions of information technology to be institutions\\nof national importance, with a view to develop new knowledge in information\\ntechnology and to provide manpower of global standards for the information\\ntechnology industry and to provide for certain other matters connected with\\nsuch institutions or incidental thereto.\\nBe it enacted by Parliament in the Sixty-fifth Year of the Republic of India as follows:—\\nCHAPTER I\\nPRELIMINARY\\n1. (1) This Act may be called the Indian Institutes of Information Technology Act, 2014.\\n(2) It shall come into force on such date as the Central Government may, by notification\\nin the Official Gazette, appoint.\\nShort title\\nand com-\\nmencement.\\njftLVªh lañ Mhñ ,yñ —( ,u)04@0007@2003— 14 REGISTERED NO. DL—(N)04/0007/2003—14\\nvlk/kkj.k\\nEXTRAORDINARY\\nHkkx II— [k.M 1\\nPART II — Section 1\\nizkf/kdkj ls izdkf\\'kr\\nPUBLISHED BY AUTHORITY\\nlañ 36] ubZ fnYyh] eaxyokj] fnlEcj 9] 2014@vxzgk;.k 18] 1936¼\\'kd½\\nNo. 36] NEW DELHI, TUESDA Y , DECEMBER 9, 2014/AGRAHAYANA 18, 1936(SAKA)\\nbl Hkkx esa fHkUu i`\"B la[;k nh tkrh gS ftlls fd ;g vyx ladyu ds :i esa j[kk tk ldsA\\nSeparate paging is given to this Part in order that it may be filed as a separate compilation.\\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 1}, page_content='2 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n2. Whereas the objects of the Institutes mentioned in the Schedule are such as to make\\nthem institutions of national importance, it is hereby declared that each such Institute is an\\ninstitution of national importance.\\n3. In this Act, unless the context otherwise requires,—\\n(a) “Board”, in relation to any Institute, means the Board of Governors referred\\nto in sub-section (1) of section 13;\\n(b) “Chairperson” means the Chairperson of the Board of Governors appointed\\nunder sub-section (2) of section 13;\\n(c) “Council” means the Council established under sub-section (1) of section 40;\\n(d) “Director” means the Director of the Institute;\\n(e) “existing Institute” means the institute mentioned in column (3) of the\\nSchedule;\\n(f) “Institute” means any of the institutions mentioned in column (5) of the\\nSchedule;\\n(g) “prescribed” means prescribed by rules made under this Act;\\n(h) “Schedule” means the Schedule to this Act;\\n(i) “Senate”, in relation to any Institute, means the Senate thereof;\\n(j) “Statutes” and “Ordinances”, in relation to any Institute, means the Statutes\\nand Ordinances of the Institute made under this Act.\\nCHAPTER II\\nTHE INSTITUTES\\n4. (1) On and from the commencement of this Act, every existing Institute, shall be a\\nbody corporate by the same name as mentioned in column (5) of the Schedule.\\n(2) Every existing Institute referred to in column (5) of the Schedule shall have perpetual\\nsuccession and a common seal, with power, subject to the provisions of this Act, to acquire,\\nhold and dispose of property, both movable and immovable, and to contract, and shall, by\\nthe said name, sue or be sued.\\n5. On and from the commencement of this Act,—\\n(a) any reference to a Society in any contract or other instrument shall be deemed\\nas a reference to the corresponding Institute mentioned in column (5) of the Schedule;\\n(b) all properties, movable and immovable, of or belonging to every existing\\nInstitute shall vest in the corresponding Institute mentioned under column (5) of the\\nSchedule;\\n(c) all rights and debts and other liabilities of every existing Institute mentioned\\nin column (3) of the Schedule shall be transferred to, and be the rights and liabilities of,\\nthe corresponding Institute mentioned in column (5) of the Schedule;\\n(d) every person employed by every existing Institute mentioned in column (3)\\nof the Schedule, immediately before such commencement shall hold his office or service\\nin the corresponding Institute mentioned in column (5) of the Schedule, with the same\\ntenure, at the same remuneration and upon the same terms and conditions and with the\\nsame rights and privileges as to pension, leave, gratuity, provident fund and other\\nmatters as he would have held the same if this Act had not been enacted and shall\\nDeclaration\\nof certain\\ninstitutions as\\ninstitutions of\\nnational\\nimportance.\\nIncorporation\\nof Institutes.\\nEffect of\\nincorporation\\nof Institutes.\\nDefinitions.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 2}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 3\\ncontinue to do so unless and until his employment is terminated or until such tenure,\\nremuneration and terms and conditions are duly altered by the Statutes:\\nProvided that if the alteration so made is not acceptable to such employee, his\\nemployment may be terminated by the Institute in accordance with the terms of the\\ncontract with the employee or, if no provision is made therein in this behalf, on payment,\\nto him by the Institute, of compensation equivalent to three months’ remuneration in\\ncase of permanent employees and one month’s remuneration in the case of other\\nemployees:\\nProvided further that any reference, by whatever form of words, to the Director,\\nRegistrar and other officers of an existing Institute mentioned in column (3) of the\\nSchedule, in any law for the time being in force, or in any instrument or other document,\\nshall be construed as a reference to the Director, Registrar and other officers of the\\ncorresponding Institute mentioned in column (5) of the Schedule;\\n(e) every person pursuing, before the commencement of this Act, any academic\\nor research course in every existing Institute mentioned in column (3) of the Schedule,\\nshall be deemed to have migrated and registered with the corresponding Institute\\nmentioned in column (5) of the Schedule, on such commencement at the same level of\\ncourse in the Institute from which such person migrated;\\n(f) all suits and other legal proceedings instituted or which could have been\\ninstituted by or against an existing Institute, mentioned in column (3) of the Schedule,\\nimmediately before the commencement of this Act shall be continued or instituted by\\nor against the corresponding Institute mentioned in column (5) of the Schedule.\\n6. Each Institute shall have the following objects, namely:—\\n(a) to emerge amongst the foremost institutions in information technology and\\nallied fields of knowledge;\\n(b) to advance new knowledge and innovation in information technology and\\nallied fields to empower the nation to the forefront in the global context;\\n(c) to develop competent and capable youth imbued with the spirit of innovation\\nand entrepreneurship with the social and environmental orientation to meet the\\nknowledge needs of the country and provide global leadership in information\\ntechnology and allied fields;\\n(d) to promote and provide transparency of highest order in matters of admission,\\nappointments to various positions, academic evaluation, administration and finance.\\n7. (1) Subject to the provisions of this Act, every Institute shall exercise the following\\npowers and perform the following functions, namely:—\\n(a) to provide instruction in such fields of knowledge concerning information\\ntechnology and allied areas as such Institute may think fit, for the advancement of\\nlearning and dissemination of knowledge;\\n(b) to lead, organise and conduct research and innovation in information\\ntechnology and allied fields of knowledge in such manner as the Institute may think fit,\\nincluding in collaboration or in association with any other Institute, educational\\ninstitution, research organisation or body corporate;\\n(c) to hold examinations and grant degrees, diplomas and other academic\\ndistinctions or titles; and to confer honorary degrees;\\n(d) to institute teaching, research or other academic positions, required by the\\nInstitute with such designations as it may deem fit, and to appoint persons on tenure,\\nterm or otherwise to such positions, other than the post of Director in accordance with\\nthe policy laid down by the Council;\\nObjects of\\nInstitute.\\nPowers and\\nfunctions of\\nInstitute.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 3}, page_content='4 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(e) to appoint persons working in any other Institute or educational institution\\nor involved in research of significance in any industry as adjunct, guest or visiting\\nfaculty of the Institute on such terms and for such duration as the Institute may\\ndecide;\\n(f) to create administrative and other posts and to make appointments thereto in\\naccordance with the policy laid down by the Council;\\n(g) to make provision for dissemination of knowledge emerging from research\\nand for that purpose to enter into such arrangements, including consultancy and\\nadvisory services, with other institutions, industry, civil society or other organisations,\\nas the Institute may deem necessary;\\n(h) to create a website, highlight all information not restricted to those related to\\nstudents, admission, fee, administrative structure, policies including recruitment rules,\\nfaculty and non-faculty posts, annual reports and financial details including statement\\nof account of the Institute;\\n(i) to determine, specify and receive payment of the charges, as the Institute may\\ndeem fit, from person, institution or body corporate for services, including training,\\nconsultancy and advisory services, provided by the Institute;\\n(j) to deal with any property belonging to or vested in, the Institute in such\\nmanner as the Institute may deem fit for advancing the objects of the Institute:\\nProvided that where the land for the Institute has been provided free of cost by\\na State Government, such land may be disposed of only with the prior approval of such\\nState Government;\\n(k) to receive gifts, grants, donations or benefactions from the Government and\\nto receive bequests, donations and transfers of movable or immovable properties from\\ntestators, donors or transferors, as the case may be;\\n(l) to co-operate with educational or other institutions in any part of the world\\nhaving objects wholly or partly similar to those of the Institute by exchange of teachers\\nand scholars and generally in such manner as may be conducive to their common\\nobjects;\\n(m) to establish and maintain such infrastructure as may be necessary, incidental\\nor conducive to the attainment of the objects of the Institute;\\n(n) to institute and award fellowships, scholarships, exhibitions, prizes and medals;\\n(o) to strive to meet the technological needs of the States and the Union territories\\nby supporting technical educational institutions; and\\n(p) to do all such things as may be necessary, incidental or conducive to the\\nattainment of all or any of the objects of the Institute.\\n(2) Notwithstanding anything contained in clause (j), an Institute shall not dispose of\\nin any manner any immovable property, without the prior approval of the Visitor.\\n8. (1) Every Institute shall be open to all persons irrespective of gender, caste, creed,\\ndisability, domicile, ethnicity, social or economic background.\\n(2) No bequest, donation or transfer of any property shall be accepted by any Institute\\nwhich in the opinion of the Council involves conditions or obligations opposed to the spirit\\nand object of this section.\\n(3) Admissions to every programme of study in each Institute shall be based on merit\\nassessed through transparent and reasonable criteria disclosed through its prospectus,\\nprior to the commencement of the process of admission by such Institute:\\nInstitute to be\\nopen to all\\nraces, creeds\\nand classes.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 4}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 5\\nProvided that every such Institute shall be a Central Educational Institution for the\\npurposes of the Central Educational Institutions (Reservation in Admission) Act, 2006.\\n9. All teaching at each of the Institute shall be conducted by or in the name of the\\nInstitute in accordance with the Statutes and Ordinances made in this behalf.\\n10. Each Institute shall be a not-for-profit legal entity and no part of the surplus, if any,\\nin revenue of such Institute, after meeting all expenditure in regard to its operations under\\nthis Act, shall be invested for any purpose other than for the growth and development of\\nsuch Institute or for conducting research therein.\\n11. (1) The President of India shall be the Visitor of every Institute.\\n(2) The Visitor may appoint one or more persons to review the work and progress of\\nany Institute and to hold inquiries into the affairs thereof and to report thereon in such\\nmanner as the Visitor may direct.\\n(3) Upon receipt of any such report, the Visitor may take such action and issue such\\ndirections as he considers necessary in respect of any of the matters dealt with in the\\nreport and the Institute shall be bound to comply with such directions within a reasonable\\ntime.\\nCHAPTER III\\nAUTHORITIES OF CENTRALLY FUNDED INDIAN INSTITUTE OF INFORMATION TECHNOLOGY\\n12. The following shall be the authorities of an Institute, namely:—\\n(a) Board of Governors;\\n(b) Senate;\\n(c) Finance Committee;\\n(d) Building and Works Committee;\\n(e) Research Council;\\n(f) such other authorities as may be declared by the Statutes to be the authorities\\nof the Institute.\\n13. (1) The Board of Governors of each Institute shall be the principal executive body\\nof that Institute.\\n(2) The Board of Governors of each Institute shall consist of the following members,\\nnamely:—\\n(a) a Chairperson, an eminent technologist or industrialist or educationist to be\\nnominated by the Visitor from a panel of three names recommended by the\\nCentral Government;\\n(b) Secretary incharge of Information Technology or Higher Education in the\\nState in which the Institute is located, ex officio;\\n(c) one representative of the Department of Higher Education, Government of\\nIndia dealing with Indian Institute of Information Technology, ex officio;\\n(d) one representative of the Ministry of Communication and Information\\nTechnology, Government of India, ex officio;\\n(e) Director of Indian Institute of Technology to be nominated by the Central\\nGovernment;\\n(f) Director of Indian Institute of Management to be nominated by the Central\\nGovernment;\\n5 of 2007.\\nTeaching at\\nInstitute.\\nVisitor.\\nAuthorities\\nof Institute.\\nBoard of\\nGovernors.\\nInstitute to\\nbe a distinct\\nlegal entity\\nnot-for-\\nprofit.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 5}, page_content='6 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(g) four persons having special knowledge or practical experience in respect of\\ninformation technology or engineering or science or allied areas to be nominated by\\nthe Council;\\n(h) two Professors of the Institute nominated by the Senate;\\n(i) Director of the Institute, ex officio;\\n(j) the Registrar, ex officio Secretary.\\n14. (1) Save as otherwise provided in this section, the term of office of member of the\\nBoard, other than the ex officio member, shall be three years from the date of nomination.\\n(2) The term of office of an ex officio member shall continue so long as he holds the\\noffice by virtue of which he is a member.\\n(3) The term of office of a member nominated under clause (h) of sub-section (2) of\\nsection 13 shall be two years from the date of nomination.\\n(4) A member of the Board, other than an ex officio member, who fails to attend three\\nconsecutive meetings of the Board, shall cease to a member of the Board.\\n(5) Notwithstanding anything contained in this section, an outgoing member shall,\\nunless the Council directs, continue in office until another person is nominated as a member\\nin his place.\\n(6) Members of the Board shall be entitled to such allowances, as may be specified in\\nthe Statutes, for attending meetings of the Board or as may be convened by the Institute.\\n15. ( 1) Subject to the provisions of this Act, the Board of every Institute shall be\\nresponsible for the general superintendence, direction and control of the affairs of the Institute\\nand shall have the power to frame, amend, modify or rescind the Statutes and Ordinances\\ngoverning the affairs of the Institute to achieve the objects specified in section 6.\\n(2) Without prejudice to the provisions of sub-section ( 1), the Board shall have the\\nfollowing powers, namely:—\\n(a) to take decisions on questions of policy relating to the administration and\\nworking of the Institute;\\n(b) to establish departments, faculties or schools of studies and initiate\\nprogrammes or courses of study at the Institute;\\n(c) to examine and approve the annual budget estimates of such Institute;\\n(d) to examine and approve the plan for development of such Institute and to\\nidentify sources of finance for implementation of the plan;\\n(e) to create teaching and other academic posts, to determine, by Statutes, the\\nnumber and emoluments of such posts and to define the duties and conditions of\\nservice of teachers and other academic staff:\\nProvided that the Board shall not take action otherwise than on consideration of\\nthe recommendations of the Senate;\\n(f) to provide, by Statutes, the qualifications, criteria and processes for\\nappointment to teaching and other posts in such Institute;\\n(g) to fix fees, by the Statutes and other charges to be demanded for pursuit of\\nstudies in the Institute;\\n(h) to make Statutes governing the administration, management and operations\\nof such Institute; and\\n(i) to exercise such other powers and perform such other duties as may be\\nconferred or imposed upon it by this Act or Statutes.\\nTerm of\\noffice of,\\nvacancies\\namong, and\\nallowances\\npayable to,\\nmembers of\\nBoard.\\nPowers and\\nfunctions of\\nBoard of\\nGovernors.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 6}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 7\\n(3) The Board shall have the power to appoint such committees, as it considers\\nnecessary for the exercise of its powers and the performance of its duties under this Act.\\n(4) The Board shall conduct an annual review of the performance of the Director with\\nspecific reference to his leadership in the context of the achievement of the objects of the\\nInstitute.\\n(5) Where in the opinion of the Director or the Chairperson, the situation is so emergent\\nthat an immediate decision needs to be taken in the interest of the Institute, the Chairperson,\\nin consultation with the Director may issue such orders as may be necessary, recording the\\ngrounds for his opinion:\\nProvided that such orders shall be submitted for ratification of the Board in the next\\nmeeting.\\n16. (1) The Senate of each Institute shall consist of the following persons, namely:—\\n(a) Director of the Institute, ex officio Chairperson;\\n(b) Deputy Director, ex officio;\\n(c) Deans, ex officio;\\n(d) Heads of the Departments of the Institute, ex officio;\\n(e) all Professors other than the Deans or Heads of the Departments;\\n(f) three persons from amongst educationists of repute or persons from another\\nfield related to the activities of the Institute who are not in service of the Institute,\\nnominated by the Board of Governors;\\n(g) three persons who are not members of teaching staff co-opted by the Senate\\nfor their specialised knowledge;\\n(h) Registrar of the Institute, ex officio Secretary.\\n(2) The term of office of members other than ex officio member shall be two years from\\nthe date of nomination.\\n(3) The term of office of an ex officio member shall continue so long as he holds the\\noffice by virtue of which he is a member.\\n17. (1) Subject to the provisions of this Act, the Senate shall be the principal academic\\nbody of the Institute and shall have the power to enact, amend, modify Ordinances, governing\\nacademic matters and the affairs and well-being of students in the Institute.\\n(2) Without prejudice to the provisions of sub-section ( 1), the Senate shall have the\\nfollowing powers, namely:—\\n(a) to specify the criteria and process for admission to courses or programmes of\\nstudy offered by the Institute;\\n(b) to recommend to the Board creation of teaching and other academic posts,\\ndetermination of the number and emoluments of such posts and defining the duties\\nand conditions of service of teachers and other academic posts;\\n(c) to recommend to the Board about commencement of new programmes or\\ncourses of study;\\n(d) to specify the broad academic content of programmes and courses of study\\nand undertake modifications therein;\\n(e) to specify the academic calendar and approve grant of degrees, diplomas and\\nother academic distinctions or titles;\\n(f) to appoint examiners, moderators, tabulators and such other personnel for\\ndifferent examinations;\\nSenate.\\nPowers and\\nfunctions of\\nSenate.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 7}, page_content='8 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(g) to recognise diplomas and degrees or Universities and other Institutes and\\nto determine equivalence with the diplomas and degrees of the Institute;\\n(h) to suggest measures for departmental co-ordination;\\n(i) to make major recommendations to the Board of Governors on—\\n(a) measures for improvement of standard of teaching, training and\\nresearch;\\n(b) institution of chairs, fellowships, scholarships, studentships, free-ships,\\nmedals and prizes and other related matters;\\n(c) establishment or abolition of departments or centres; and\\n(d) bye-laws covering the academic functioning of the institute, discipline,\\nresidence, admissions, examinations, award of fellowships and studentships,\\nfree-ships concessions, attendance and other related matters;\\n(j) to appoint sub-committees to advise on such specific matters as may be\\nreferred to by the Board of Governors or by itself;\\n(k) to consider the recommendations of the sub-committees and to take such\\naction including making of recommendations to the Board of Governors as may be\\nrequired;\\n(l) to take periodical review of the activities of the Departments or Centres and to\\ntake appropriate action including making of recommendations to the Board of Governors\\nwith a view to maintain and improve the standards of instructions, in the institutions;\\nand\\n(m) to exercise such other powers and discharge such other functions as may be\\nassigned to it, by Statutes or otherwise, by the Board.\\n18 (1)The Finance Committee of each Institute shall consist of the following persons,\\nnamely:—\\n(a) the Chairperson, Board of Governors ex officio who shall be the Chairperson\\nof the Committee;\\n(b) one representative of the Government of India, Ministry of Human Resource\\nDevelopment, Department of Higher Education handling the matters relating to Indian\\nInstitute of Information Technology, ex officio;\\n(c) one representative of the Government of India, Ministry of Human Resource\\nDevelopment, Department of Higher Education handling the matters relating to finance,\\nex officio;\\n(d) two persons nominated by the Board;\\n(e) the Director, ex officio;\\n(f) the Officer incharge of Finance and Accounts of the Institute ex officio\\nSecretary.\\n(2) The members of the Finance Committee other than ex officio members shall hold\\noffice for a term of three years.\\n19. The Finance Committee shall examine the accounts, scrutinise proposals for\\nexpenditure and financial estimates of the Institute and thereafter submit it to the Board of\\nGovernors together with its comments for approval.\\n20. The Building and Works Committee of each Institute shall consist of the following\\npersons, namely:—\\n(a) the Director, ex officio, who shall be the Chairperson of the Committee;\\nFinance\\nCommittee.\\nPowers and\\nfunctions of\\nFinance\\nCommittee.\\nBuilding and\\nWorks\\nCommittee.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 8}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 9\\n(b) one person nominated by Indian Institute of Technology located in the State\\nin which the Institute is situated;\\n(c) one person nominated by the Board from amongst its members;\\n(d) Dean, Planning and Development;\\n(e) a civil engineer not below the rank of superintending engineer in the\\nGovernment or Government Agency nominated by the Board;\\n(f) an electrical engineer not below the rank of superintending engineer in the\\nGovernment or Government Agency nominated by the Board;\\n(g) the officer incharge of Estate of the Institute ex officio Secretary.\\n21.The Building and Works Committee shall discharge the following powers and\\nfunctions, namely:—\\n(a) it shall be the responsibility of the Committee for construction of all major\\ncapital works after securing from the Board the necessary administrative approval and\\nfinancial sanction;\\n(b) it shall have the power to give the necessary administrative approval and\\nfinancial sanction for all construction work and work pertaining to maintenance and\\nrepairs, within the grant place at the disposal of the Institute for the purpose;\\n(c) it shall cause to be prepared estimates of cost of building and other capital\\nwork, minor works, repair, maintenance and the like;\\n(d) it shall be responsible for making technical scrutiny of each work as may be\\nconsidered necessary by it;\\n(e) it shall be responsible for enlistment of suitable contractors and acceptance\\nof tenders and shall have the power to give direction for departmental works where\\nnecessary.\\n22. (1) Each Institute shall establish a Research Council comprising of the Director and\\nsuch other members as may be specified, by Statutes, by the Board.\\n(2) The Research Council of each Institute shall—\\n(a) interface with research funding organisations, industry and civil society to\\nidentify potential areas for research;\\n(b) to organise and promote research in such Institute or in collaboration with\\nany institution of higher learning or research laboratories;\\n(c) assist teachers in obtaining funding from external sources for research projects\\nprepared by them;\\n(d) provide, out of the funds placed at its disposal by the Board, research resources\\nand grant assistance for research projects proposed to be undertaken by teachers in\\nsuch Institute;\\n(e) provide for incubation of technology applications emerging from research\\nand to protect and utilise the intellectual property obtained from research in the\\nInstitutes;\\n(f) make provision for research and advisory services and for that purpose enter\\ninto such arrangements with other institutions, industry, civil society or other\\norganisations and enable the fruits of research to be disseminated to industry and\\nsociety through such arrangements;\\n(g) exercise such other powers and perform such other duties as may be assigned\\nto it by Statutes.\\nPowers and\\nfunctions of\\nBuilding and\\nWorks\\nCommittee.\\nResearch\\nCouncil.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 9}, page_content='10 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n23. (1) The Chairperson shall ordinarily preside over the meetings of the Board, Finance\\nCommittee and at the convocations of the Institute.\\n(2) It shall be the duty of the Chairperson to ensure that the decisions taken by the\\nBoard are implemented.\\n(3) The Chairperson shall exercise such other powers and perform such other duties as\\nmay be assigned to him by this Act or the Statutes.\\n24. (1) The Director of a Institute shall be appointed by the Central Government from\\na panel of names recommended in order of merit by a search-cum-selection committee with\\nprior approval of the Visitor.\\n(2) The search-cum-selection committee shall consist of the following, namely:—\\n(a) an eminent person to be nominated by the Minister in charge of Human\\nResource Development in the Government of India as Chairperson of the Committee;\\n(b) the Chairperson, Board of Governors of the concerned Indian Institutes of\\nInformation Technology – Member, ex officio;\\n(c) Secretary incharge of Higher Education in the Government of India – Member,\\nex officio;\\n(d) Director of a Indian Institutes of Information Technology to be nominated by\\nMinister incharge of Human Resource Development – Member, ex officio;\\n(e) a person of eminence in the field of information technology to be nominated\\nby Minister incharge of Human Resource Development;\\n(f) Head of Bureau, Ministry of Human Resource Development dealing with\\nIndian Institutes of Information Technology – non-member Secretary, ex officio.\\n(3) The Director shall be appointed on such terms and conditions of service as may be\\nprovided by the Statutes.\\n(4) The Director shall be the principal academic and executive officer of the Institute\\nand shall be responsible for the implementation of the decisions of the Board and Senate and\\nday-to-day administration of the Institute.\\n(5) The Director shall exercise such other powers and perform such other duties as\\nmay be assigned to him by this Act or the Statutes or delegated by the Board or the Senate\\nor the Ordinances.\\n(6) The Director shall submit annual reports and audited accounts to the Board.\\n(7) The Director may during his absence from the headquarters, authorise the Deputy\\nDirector or one of the Deans or the senior most Professor present, to sanction advances for\\ntravelling allowances, contigencies and medical treatment of the staff and sign and countersign\\nbills on his behalf and authorise to the Deputy Director or one of the Dean or the senior most\\nProfessor present, by him in writing.\\n25. (1) The Registrar of every Institute shall be appointed on such terms and conditions\\nas may be laid down by the Statutes and shall be the custodian of records, the common seal,\\nthe funds of the Institute and such other property of the Institute as the Board shall commit\\nto his charge.\\n(2) The Registrar shall act as the Secretary of the Board, Senate and such committees\\nas may be prescribed by the Statutes.\\n(3) The Registrar shall be responsible to the Director for the proper discharge of his\\nfunctions.\\n(4) The Registrar shall exercise such other powers and perform such other duties as\\nmay be assigned to him by this Act or the Statutes or by the Director.\\nMeetings.\\nDirector.\\nRegistrar.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 10}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 11\\n26. ( 1) The Board may, by Statutes, declare such other posts as authorities of the\\nInstitute and specify the duties and function of each such authority.\\n(2) The Board may constitute such authorities as it may deem fit for proper management\\nof affairs of the Institute.\\n27. (1) Each Institute shall, within five years from the establishment and incorporation\\nof Institute under this Act and thereafter at the expiration of every fifth year, constitute, with\\nthe prior approval of the Central Government, a Committee to evaluate and review the\\nperformance of the Institute in achievement of its objects in the said period.\\n(2) The Committee under sub-section (1) shall consist of members of acknowledged\\nrepute in academia or industry, drawn from such fields of knowledge as may have relevance\\nto teaching, learning and research in such Institute.\\n(3) The Committee shall assess the performance of Institute and make recommendations\\non—\\n(a) the extent of fulfilment of the objects of the Institute referred to in section 6,\\nas demonstrated by the state of teaching, learning and research and its contribution to\\nsociety;\\n(b) the promotion of transformational research and its impact on industry and\\nsociety;\\n(c) the advancement of fundamental research beyond the current frontiers of\\nknowledge;\\n(d) the establishment of the Institute as amongst the global leaders in the area of\\ninformation technology;\\n(e) such other matters as the Board may specify.\\n(4) The Board shall consider the recommendations referred to in sub-section (3) and\\ntake such action on it as it may deem fit:\\nProvided that the recommendations of the Committee along with an explanatory\\nmemorandum on the action taken or proposed to be taken, specifying the reasons thereof,\\nshall be submitted to the Central Government.\\nCHAPTER IV\\nACCOUNTS AND AUDIT\\n28. (1) For the purposes of enabling the Institutes to discharge their functions efficiently\\nunder this Act, the Central Government may, after due appropriation made by Parliament by\\nlaw in this behalf, pay to each Institute in every financial year such sums of money in such\\nmanner as it may think fit.\\n(2) The Central Government shall provide to each Institute, grants of such sums of\\nmoney as are required to meet the expenditure on scholarships or fellowships instituted by\\nit, including scholarships or fellowships for students from socially and educationally backward\\nclasses of citizens enrolled in such Institute.\\n29. (1) Every Institute shall maintain a fund to which shall be credited —\\n(a) all monies provided by the Central Government or State Government, as the\\ncase may be;\\n(b) all fees and other charges received by the Institute from students;\\n(c) all monies received by the Institute by way of grants, gifts, donations,\\nbenefactions, bequests or transfers;\\nReview of\\nperformance\\nof Institute.\\nGrants by\\nCentral\\nGovernment.\\nFund of\\nInstitute.\\nOther\\nauthorities\\nand officers.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 11}, page_content='12 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(d) all monies received by the Institute from utilisation of intellectual property\\narising from research conducted or provision of advisory or consultancy services by\\nit; and\\n(e) all monies received by the Institute in any other manner or from any other\\nsource.\\n(2) The fund of every Institute shall be applied towards meeting the expenses of the\\nInstitute, including expenses incurred in the exercise of its powers and discharge of its duties\\nunder this Act, furtherance of research in the Institute or in collaboration with other educational\\ninstitutions or industry and for capital investment aimed at the growth and development of\\nthe Institute.\\n30. (1) Every Institute shall maintain proper accounts and other relevant records and\\nprepare annual statement of accounts including the balance sheet in such form and accounting\\nstandard as may be specified by notification, by the Central Government in consultation with\\nthe Comptroller and Auditor-General of India.\\n(2) Where the statement of income and expenditure and the balance sheet of the\\nInstitute do not comply with the accounting standards, the Institute shall disclose in its\\nstatement of income and expenditure and balance sheet, the following, namely:—\\n(a) the deviation from the accounting standards;\\n(b) the reasons for such deviation; and\\n(c) the financial effect, if any, arising out due to such deviation.\\n(3) The accounts of every Institute shall be audited by the Comptroller and Auditor-\\nGeneral of India and any expenditure incurred by audit team in connection with such audit\\nshall be payable by the Institute to the Comptroller and Auditor-General of India.\\n(4) The Comptroller and Auditor-General of India and any person appointed by him in\\nconnection with the audit of the accounts of any Institute shall have the same rights, privileges\\nand authority in connection with such audit as the Comptroller and Auditor-General of India\\nhas in connection with the audit of the Government accounts and, in particular shall have the\\nrights to demand the production of books, accounts, connected vouchers and other\\ndocuments and papers and to inspect the offices of the Institute.\\n(5) The accounts of every Institute as certified by the Comptroller and Auditor-General\\nof India or any other person appointed by him in this behalf together with the audit report\\nthereon shall be forwarded annually to the Central Government and that Government shall\\ncause the same to be laid before each House of Parliament in accordance with such procedure\\nas may be laid down by the Central Government.\\n31. (1) Every Institute may constitute for the benefit of its employees such provident\\nor pension fund or provide such insurance scheme as it may deem fit in such manner and\\nsubject to such conditions as may be prescribed by the Statutes.\\n(2) Where such provident fund or pension fund has been so constituted, the Central\\nGovernment may declare that the provisions of the Provident Funds Act, 1925, shall apply to\\nsuch fund, as if it were a Government Provident Fund.\\n32. All appointments of the staff of every Institute, except that of the Director, shall be\\nmade in accordance with the procedure laid down in the Statutes, by–\\n(a) the Board, if the appointment is made on the academic staff in the post of\\nAssistant Professor or if the appointment is made on the non-academic staff in every\\ncadre the maximum of the pay scale for which exceeds prevalent grade pay scale for\\nGroup A Officers;\\n(b) the Director, in any other case.\\nAccounts and\\naudit.\\nPension and\\nprovident\\nfund.\\n19 of 1925.\\nAppointments.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 12}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 13\\n33. Subject to the provisions of this Act, the Statutes may provide for all or any of the\\nfollowing matters, namely:—\\n(a) the conferment of honorary degree;\\n(b) the formation of departments of teaching;\\n(c) the fees to be charged for courses of study in the Institute and for admission\\nto the examinations of degrees and diplomas of the Institute;\\n(d) the institution of fellowships, scholarships, exhibitions, medals and prizes;\\n(e) the terms of office and the method of appointment of officers of the Institute;\\n(f) the qualifications of teachers of the Institute;\\n(g) the classification, the method of appointment and the determination of the\\nterms and conditions of service of teachers and other staff of the Institute;\\n(h) the constitution of pension, insurance and provident funds for the benefit of\\nthe officers, teachers and other staff of the Institute;\\n(i) the constitution, powers and duties of the authorities of the Institute;\\n(j) the establishment and maintenance of halls and hostels;\\n(k) the conditions of residence of students of the Institute and the levying of\\nfees for residence in the halls and hostels and of other charges;\\n(l) the allowances to be paid to the Chairperson and members of the Board;\\n(m) the authentication of the orders and decisions of the Board; and\\n(n) the meetings of the Board, the Senate, or any Committee, the quorum at such\\nmeetings and the procedure to be followed in the conduct of their business.\\n34. (1) The first Statutes of each Institute shall be made by the Board with the prior\\napproval of the Visitor and a copy of the same shall be laid as soon as may be before each\\nHouse of Parliament.\\n(2) The Board may, from time to time, make new or additional Statutes or may amend or\\nrepeal the Statutes in the manner provided in this section.\\n(3) Every new Statutes or addition to the Statutes or any amendment or repeal of\\nStatutes shall require the prior approval of the Visitor who may grant assent or withhold\\nassent or remit it to the Board for consideration.\\n(4) New Statutes or a Statute amending or repealing an existing Statute shall have no\\nvalidity unless it has been assented to by the Visitor:\\nProvided that the Central Government with the prior approval of the Visitor may make\\nor amend the Statutes for the Institute, if the same is required for uniformity, and a copy of the\\nsame shall be laid as soon as may be before each House of the Parliament.\\n35. Subject to the provisions of this Act and the Statutes, the Ordinances of every\\nInstitute may provide for all or any of the following matters, namely:—\\n(a) the admission of the students to the Institute;\\n(b) the courses of study to be laid down for all degrees and diplomas of the\\nInstitute;\\n(c) the conditions under which students shall be admitted to the degree or\\ndiploma courses and to the examinations of the Institute, and shall be eligible for\\ndegrees and diplomas;\\n(d) the conditions of award of the fellowships, scholarships, exhibitions, medals\\nand prizes;\\n(e) the conditions and mode of appointment and duties of examining bodies,\\nexaminers and moderators;\\nStatutes.\\nStatutes how\\nto be made.\\nOrdinances.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 13}, page_content='14 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(f) the conduct of examinations;\\n(g) the maintenance of discipline among the students of the Institute; and\\n(h) any other matter which by this Act or the Statutes is to be or may be provided\\nfor by the Ordinances.\\n36. (1) Save as otherwise provided in this section, Ordinances shall be made by the\\nSenate.\\n(2) All Ordinances made by the Senate shall have effect from such date as it may direct,\\nbut every Ordinance so made shall be submitted, as soon as may be, to the Board and shall\\nbe considered by the Board at its next meeting.\\n(3) The Board shall have power by resolution to modify or cancel any such Ordinance\\nand such Ordinance shall from the date of such resolution stand modified accordingly or\\ncancelled, as the case may be.\\n37. (1) (a) Any dispute arising out of a contract between a Institute and any of its\\nemployees shall, at the request of the employee concerned or at the instance of the Institute,\\nbe referred to a Tribunal of Arbitration consisting of one member appointed by the Institute,\\none member nominated by the employee, and an umpire appointed by the Visitor.\\n(b) The decision of the Tribunal shall be final and shall not be questioned in any\\ncourt.\\n(c) No suit or proceeding shall lie in any court in respect of any matter, which is\\nrequired by sub-section (1) to be referred to the Tribunal of Arbitration.\\n(d) The Tribunal of Arbitration shall have power to regulate its own procedure:\\nProvided that the Tribunal shall have regard to the principles of natural justice\\nwhile making such procedure.\\n(e) Nothing in any law for the time being in force relating to arbitration shall\\napply to arbitrations under this section.\\n(2) Any student or candidate for an examination whose name has been removed from\\nthe rolls of the Institute by the orders or resolution of the Director of the Institute and who\\nhas been debarred from the appearing at the examinations of the Institute for more than one\\nyear, may within ten days of the date of receipt of such resolution by him, appeal to the Board\\nof Governors who may confirm, modify or reverse the decision of the Director.\\n(3) Any dispute arising out of any disciplinary action taken by the Institute against a\\nstudent shall, at the request of such student, be referred to a Tribunal of Arbitration and the\\nprovisions of sub-section (1) shall, as far as may be, apply to a reference made under this\\nsub-section.\\n(4) Every employee or student of the Institute, notwithstanding anything contained in\\nthis Act, have a right to appeal within such time as may be prescribed by the Statutes, to the\\nBoard of Governors against the decision of any officer or authority of the Institute as the\\ncase may be and thereupon the Board of Governors may confirm, modify or reverse the\\ndecision appealed against.\\n38. (1) There shall be attached to every statement of accounts laid before the Board of\\neach Institute, a report by its Director, with respect to –\\n(a) the state of affairs of such Institute;\\n(b) the amounts, if any, which it proposes to carry to any surplus reserves in its\\nbalance sheet;\\n(c) the extent to which understatement or overstatement of any surplus of income\\nover expenditure or any shortfall of expenditure over income has been indicated in the\\nauditor’s report and the reasons for such understatement or overstatement;\\nOrdinances\\nhow to be\\nmade.\\nTribunal of\\nArbitration.\\nAnnual report\\nof Director.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 14}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 15\\n(d) the productivity of research projects undertaken by the Institute measured in\\naccordance with such norms as may be specified by any statutory regulatory authority;\\n(e) appointments of the officers and teachers of the Institute;\\n(f) benchmark and internal standards set by the Institute, including the nature of\\ninnovations in teaching, research and application of knowledge.\\n(2) The Director shall also be bound to give the complete information and explanations\\nin its report aforesaid on every reservation, qualification or adverse remark contained in the\\nauditors’ report.\\n39. (1) The annual report of each Institute shall be prepared under the direction of the\\nBoard, which shall include, among other matters, the steps taken by the Institute towards the\\nfulfilment of its objects and an outcome based assessment of the research being undertaken\\nin such Institute, and be submitted to the Board on or before such date as may be specified\\nand the Board shall consider the report in its annual meeting.\\n(2) The annual report on its approval by the Board shall be published on the website\\nof the Institute.\\n(3) The annual report of each Institute shall be submitted to the Central Government\\nwho shall, as soon as may be, cause the same to be laid before both Houses of Parliament.\\nCHAPTER V\\nTHE COUNCIL\\n40. (1) In order that there may be better coordination between the Institutes, the\\nCentral Government may, by notification in the Official Gazette, establish, with effect from\\nsuch date as may be specified in the notification, there shall be established for all the\\nInstitutes specified in column (5) of the Schedule, a central body to be called the Council.\\n(2) The Council shall consist of the following, namely:—\\n(i) the Minister of the Central Government in charge of technical education, who\\nshall be the Chairperson of the Council, ex officio;\\n(ii) two members of Parliament of India (one member to be nominated by Speaker\\nof Lok Sabha and one member to be nominated by Chairperson of Rajya Sabha),\\nex officio;\\n(iii) Secretary, Government of India, Ministry of Human Resource Development,\\nDepartment of Higher Education;\\n(iv) the Chairpersons of each of the Institutes, ex officio;\\n(v) the Directors of each of the Institutes, ex officio;\\n(vi) the Director-General, Council of Scientific and Industrial Research, ex officio;\\n(vii) three persons to be nominated by the Central Government, one each to\\nrepresent the Ministry concerned with Finance, Science and Technology and\\nInformation Technology;\\n(viii) three persons to be nominated by Visitor, who shall be persons having\\nspecial knowledge or practical experience in respect of industry, academia, engineering,\\nalumni and social sciences to be nominated by the Council from a panel comprised of\\ntwo names recommended by each Institute;\\n(ix) one representative of University Grants Commission;\\n(x) one representative of All India Council of Technical Education; and\\n(xi) Chairperson, Central Board of Secondary Education.\\nAnnual\\nreport of\\neach\\nInstitute.\\nCouncil of\\nInstitutes.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 15}, page_content='16 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(3) An officer of the Department of Higher Education, Government of India, concerned\\nwith technical education shall be nominated by that Government to act as the Secretary of\\nthe Council.\\n(4) The Council may, at its discretion, constitute a Standing Committee of the Indian\\nInstitute of Information Technology Council to assist the Council in discharge of its duties\\nand responsibilities.\\n(5) The expenditure on the Council shall be met by the Central Government.\\n41. (1) Save as otherwise provided in this section, the term of office of a member of the\\nCouncil, other than an ex officio member, shall be for a period of three years from the date of\\nnomination.\\n(2) The term of office of an ex officio member shall continue so long as he holds the\\noffice by virtue of which he is a member.\\n(3) The term of office of a member elected under clause ( ii) of sub-section ( 2) of\\nsection 40 shall expire as soon as he ceases to be a member of the House which elected him.\\n(4) Notwithstanding anything contained in this section, an outgoing member shall,\\nunless the Council directs, continue in office until another person is nominated as a member\\nin his place.\\n(5) Members of the Council shall be entitled to travelling and such other allowances,\\nas may be prescribed, for attending meetings of the Council or its Committees thereof.\\n42. (1) The Council shall work to coordinate the activities of all the Institutes.\\n(2) Without prejudice to the provisions of sub-section (1), the Council shall perform\\nthe following functions, namely:—\\n(a) to advise on matters relating to the duration of the courses, the degrees and\\nother academic distinctions to be conferred by the Institutes, admission standards\\nand other academic matters;\\n(b) to lay down policy regarding cadres, methods of recruitment and conditions\\nof service of employees, institution of scholarships and free-ships, levying of fees and\\nother matters of common interest;\\n(c) to examine the development plans of each Institute and to approve such of\\nthem as are considered necessary and also to indicate broadly the financial implications\\nof such approved plans;\\n(d) to examine the annual budget estimates of each Institute and to recommend\\nto the Central Government the allocation of funds for that purpose;\\n(e) to recommend to the Central Government, the institution of scholarships\\nincluding research and for the benefit of students belonging to the Scheduled Castes,\\nthe Scheduled Tribes and Other Backward Classes of citizens;\\n(f) to recommend to the Central Government, proposals for establishment of new\\nInstitutes of Information Technology;\\n(g) to advise the Visitor, if so required, in respect of any function to be performed\\nby him under this Act; and\\n(h) to perform such other functions as may be referred to it by the Central\\nGovernment:\\nProvided that nothing in this section shall derogate the powers and functions vested\\nby law in the Board or Senate or other authorities of each Institute.\\n(3) The Chairperson of the Council shall ordinarily preside at the meetings of the\\nCouncil and in his or her absence, any other member, chosen by the Members present from\\namongst themselves at the meeting, shall preside at the meeting.\\nTerm of\\noffice and\\nallowances\\npayable to\\nmembers of\\nCouncil.\\nFunctions and\\nduties of\\nCouncil.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 16}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 17\\n(4) The Council shall meet once in every year and follow such procedure in its meetings\\nas may be prescribed.\\n43. (1) The Central Government may, after previous publication, by notification, make\\nrules to carry out the purposes of this Chapter.\\n(2) In particular and without prejudice to the generality of the foregoing power, such\\nrules may provide for all or any of the following matters, namely:—\\n(a) the travelling and other allowances payable to members of the Council under\\nsub-section (5) of section 41;\\n(b) the procedure to be followed in the meetings of the Council under\\nsub-section (4) of section 42.\\nCHAPTER VI\\nMISCELLANEOUS\\n44. No act of the Council, or any Institute, Board or Senate or any other body set-up\\nunder this Act or the Statutes, shall be invalid merely by reason of—\\n(a) any vacancy in or defect in the constitution thereof;\\n(b) any irregularity in its procedure not affecting the merits of the case;\\n(c) any defect in the selection, nomination or appointment of a person acting as\\na member thereof.\\n45. Every Institute shall furnish to the Central Government such returns or other\\ninformation with respect to its policies or activities as the Central Government may, for the\\npurpose of reporting to Parliament or for the making of policy, from time to time require.\\n46. The Institute shall carry out such directions as may be issued to it from time to time\\nby the Central Government for the efficient administration of this Act.\\n47. The provisions of the Right to Information Act, 2005 shall apply to each Institute,\\ndefined in clause (h) of section 2 of the Right to Information Act, 2005.\\n48. (1) Notwithstanding anything contained in this Act—\\n(a) the Board of Governors of an Institute functioning as such immediately\\nbefore the commencement of this Act shall continue to so function until a new Board\\nis constituted for that Institute under this Act, but on the constitution of a new Board\\nunder this Act, the members of the Board holding office before the commencement of\\nthis Act shall cease to hold office;\\n(b) every Senate constituted in relation to every Institute before the\\ncommencement of this Act shall be deemed to be the Senate constituted under this Act\\nuntil a Senate is constituted under this Act for the Institute, but on the constitution of\\nthe new Senate under this Act, the members of the Senate holding office before the\\ncommencement of this Act shall cease to hold office;\\nPower to\\nmake rules in\\nrespect of\\nmatters in\\nthis Chapter.\\nActs and\\nproceedings\\nnot to be\\ninvalidated by\\nvacancies, etc.\\nReturns and\\ninformation\\nto be\\nprovided to\\nCentral\\nGovernment.\\nPower of\\nCentral\\nGovernment\\nto issue\\ndirections.\\nInstitute to be\\npublic\\nauthority\\nunder Right\\nto\\nInformation\\nAct.\\nTransitional\\nprovisions.\\n22 of 2005.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 17}, page_content='18 THE GAZETTE OF INDIA EXTRAORDINARY [P ART II—\\n(c) the Statutes, Ordinances, rules, regulations and bye-laws of each existing\\nInstitute as in force, immediately before the commencement of this Act, shall continue\\nto apply to the corresponding institute in so far as they are not inconsistent with the\\nprovisions of this Act until the first Statutes and the Ordinances are made under this\\nAct;\\n(d) any student who joined classes of the existing Institute on or after the\\nacademic year 2007-2008 or completed the course on or after the academic year 2010-\\n2011 shall for the purpose of clause (c) of sub-section (1) of section 7, be deemed to\\nhave pursued a course of study in the existing Institute located at Kancheepuram only\\nif such student has not already been awarded degree or diploma for the same course of\\nstudy.\\n(2) The Central Government may, without prejudice to the provisions of sub-section (1),\\nif it considers necessary and expedient to do so, by notification, take such measures which\\nmay be necessary for the transfer of the existing Institute mentioned in column (3) of the\\nSchedule to the corresponding Institute mentioned under column (5) of the Schedule.\\n49. (1) If any difficulty arises in giving effect to the provisions of this Act the Central\\nGovernment, may, by order published in the Official Gazette, make such provisions not\\ninconsistent with the provisions of this Act, as may appear to it to be necessary or expedient\\nfor removing the difficulty:\\nProvided that no such order shall be made after the expiry of the period of three years\\nfrom the date of commencement of this Act.\\n(2) Every order made under this section shall, as soon as may be, after it is made, be laid\\nbefore each House of Parliament.\\n50. Every rule made and every notification issued by the Central Government under\\nthis Act, shall be laid, as soon as may be after it is made or issued, before each House of\\nParliament, while it is in session, for a total period of thirty days which may be comprised in\\none session or in two or more successive sessions, and if, before the expiry of the session\\nimmediately following the session or the successive sessions aforesaid, both Houses agree\\nin making any modification in the rule or notification or both Houses agree that the rule or\\nnotification should not be made or issued, the rule or notification shall thereafter have effect\\nonly in such modified form or be of no effect, as the case may be; so, however, that any such\\nmodification or annulment shall be without prejudice to the validity of anything previously\\ndone under that rule or notification.\\nPower to\\nremove\\ndifficulties.\\nLaying of\\nrules and\\nnotification.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIIT Act 30_of_2014.pdf', 'page': 18}, page_content='SEC. 1] THE GAZETTE OF INDIA EXTRAORDINARY 19\\nTHE SCHEDULE\\n[See section 4(1)]\\nSI. Name of the Name of the existing Institute Location Name of the\\nNo. State Institute under\\nthis Act\\n(1) (2) (3) (4) (5)\\n1. Uttar Pradesh Indian Institute of Information Allahabad Indian Institute of\\nTechnology, Allahabad Information\\nTechnology,\\nAllahabad.\\n2. Madhya Indian Institute of Information Gwalior Atal Bihari\\nPradesh T echnology, Gwalior Vajpayee Indian\\nInstitute of\\nInformation\\nTechnology, and\\nManagement,\\nGwalior.\\n3. Madhya Indian Institute of Information Jabalpur Pandit Dwarka\\nPradesh T echnology, Design and Prasad Mishra\\nManufacturing Indian Institute of\\nInformation\\nTechnology,\\nDesign and\\nManufacturing,\\nJabalpur.\\n4. Tamil Nadu Indian Institute of Information Kancheepuram Indian Institute of\\nTechnology, Design and Information\\nManufacturing Technology,\\nDesign and\\nManufacturing,\\nKancheepuram.\\nDR. SANJAY SINGH,\\nSecretary to the Govt. of India.\\nPRINTED BY DIRECTORATE OF PRINTING AT GOVERNMENT OF INDIA PRESS, MINTO ROAD,\\nNEW DELHI AND PUBLISHED BY THE CONTROLLER OF PUBLICATIONS, DELHI, 2013.\\nGMGIPMRND—3438GI—1 1-12-2014.'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 0}, page_content=\"IIITDM Jabalpur \\n \\nIt full name is Pandit Dwarka Prasad Mishra Indian institute of information technology also known \\nas PDPM IIITDM Jabalpur .. \\nProbably at no previous moment in the world history have commerce and industry become so \\ncomplex, extensive, and globally interrelated as they are today. India, which is going through a rapid \\ngrowth in its manufacturing sector, is not unaffected by these changes. The modern manufacturing \\nenvironment entails a large variety of cross-disciplinary activities including the Design and IT . \\nEngineers consequently are being called upon to work within new environmental, economical and \\nsocial constraints which are increasingly becoming a part of contemporary engineering practice. \\nObviously, these elements need to find their way into the engineering curricula. However, \\ntraditional engineering instructional formats isolate teaching and research into specific disciplines \\nwith un-integrated curricula and therefore the structure of our engineering curricula have hardly \\nchanged in accordance with the modern manufacturing needs. Such divisions in the existing higher \\neducation formats are found to act as barriers to learning, behavior, and performance. \\nAnother aspect of engineering education which needs to be considered is the basic nature of the IT \\nprofession. The IT driven market of today features a model of innovation which is quite different \\nfrom the research models that most institutes are familiar with. The new market model for \\ninnovation emphasizes on fast concept, funds projects with venture capital, fosters innovation by \\nrewarding entrepreneurs who specialize in transforming people's practices to become more \\nproductive with the help of new technology. In contrast, the conventional research model \\nemphasizes on careful development of ideas and principles and achieves innovation only after ideas \\nhave gone through a long pipeline that distills out the best and brings them into practice over a \\nperiod of 15-20 years. This dichotomy between the new market-driven model and the conventional \\nidea-pipeline model poses another great challenge to educators of engineering. \\nThe current engineering education system in India, though huge and diverse, is mainly based on the \\nconventional idea of pipeline model. To integrate the knowledge of a given discipline with IT \\nenabled design, prototyping as well as manufacturing considerations, a need therefore exists for \\ndeveloping a new academic programmes. Apart from laying an emphasis on IT , the new approach \\nshould also give emphasis on aesthetic, ergonomic and functional considerations of products. The \\nacademic programme should also be able to respond to industry driven adaptive management \\nstructure. \\nWith above requirements in mind, the Ministry of Human Resource Development (MHRD), \\nGovernment of India, felt the need to set up a national institute devoted exclusively for Information \\nTechnology (IT), Design & Manufacturing (D & M). It was envisaged that such an academic institute \\nwould promote excellence in the desired areas of specialization and would facilitate and promote \\nthe competitive advantage of Indian products and manufacturing in global markets. Further, the \\nnew Institute would serve as an inter-disciplinary institution for education and research by keeping \\nthe concept of Product Lifecycle Management (PLM) in mind. The Indian Institute of Information \\nTechnology, Design & Manufacturing (IIITDM) Jabalpur was thus established in January 2005. Strong \\nindustry interface and close cooperation with other academic and research institutions are the key \\nfeatures of this Institute. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 1}, page_content='Mission \\nThe Mission of the Institute is to create a multidisciplinary academic environment to prepare and \\ntrain manpower of excellence for nurturing and promoting knowledge-based activities and \\ninnovations in design, fabrication and manufacturing of products by bringing together a \\ncollaborative and mutually stimulating mix of different fields of science, engineering and arts. In \\ndoing so the Institute shall identify current and future agendas for scholarship, share knowledge \\nand discoveries with the world community and actively cultivate individuals with the desire and \\ncapability to contribute to society. \\nValues \\nIn planning for its future as well as for conducting its ongoing activities, the Institute seeks to act in \\na manner that is guided by a deep-rooted sense of shared values and aspirations. Built upon such a \\nfoundation, the Institute: \\no Honours and rewards high performance in learning, teaching, scholarship, research \\nand creative activities by encouraging intellectual curiosity and protecting the \\nmultiple expressions of academic freedom. \\no Seeks to provide an environment conducive to imaginative innovation, \\nexperimentation and creativity by encouraging all members of the academic \\ncommunity to take intellectual and creative risks and to embrace changes that will \\nenhance the fulfillment of the Institute’s mission. \\no Aspires to build an environment of tolerance and reasoned debate without any \\ngender-, cast-, religious- or regional- bias by affirming the worth and personal \\ndignity of every member of the Institute community and contributing to a campus \\nclimate of civility. \\n \\n \\n \\nhe Institute was initially governed under MOA of the Institute, but after the enactment of the IIIT Act \\n2014, the Institute is now governed by it. As per the said Act the following are authorities of the \\nInstitute: \\n\\uf0b7 Board of Governors \\n\\uf0b7 Senate \\n\\uf0b7 Finance Committee \\n\\uf0b7 Building and Works Committee \\n\\uf0b7 Research Council \\n \\nThe Board of Governors is the principle executive body of the Institute, with an eminent technologist \\nor industrialist or educationist as its Chairman who is nominated by the Visitor . The other members \\nof the Board consist of persons who are chosen as per clause 13 (2) of the said Act. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 2}, page_content='The Board is responsible for the general superintendence, direction and control of the affairs of the \\nInstitute and possesses the power to frame, amend, modify or rescind the Statutes and Ordinances \\ngoverning the affairs of the Institute. \\nThe Director apart from being the Executive and Academic Head of the Institute is also a member of \\nthe Board with Registrar as its ex-officio Secretary. The day-to-day administration of the Institute is to \\nbe looked after by the Director of the Institute and his administrative team comprising of: \\n\\uf0b7 The Deputy Director (to be nominated on appointment) \\n\\uf0b7 The Deans \\n\\uf0b7 The Heads of various disciplines and \\n\\uf0b7 The Registrar \\n \\n \\n \\n \\nBuilding And Works Committee \\nS. No. Name Designation \\n1. Prof. Bhartendu Kumar Singh \\nDirector \\nPDPM-IIITDM Jabalpur \\ndirector@iiitdmj.ac.in \\nChairperson (Ex-Officio) \\n2. Shri Atul Kumar Pandey \\nProject Engineer-cum-Estate Officer \\nIndian Institute of Technology Indore \\nKhandwa Road, Simrol \\nIndore - 453 552 \\natul.pandey@iiti.ac.in \\nMember \\n3. Shri Prashant Pole \\nDirector, Disha Consultants \\npp@prashantpole.com \\nMember \\n4. Er . Jayant K Gupta \\nSE (Civil), CPWD, bhopal \\nsebhopalcpwd@gmail.com \\nMember '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 3}, page_content=' \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nConstitution Of The Following New Senate Under Clause 16(I) Of The IIIT Act 2014 \\n \\nS. \\nNo. \\nName Address \\n1. Director as Chairperson (Ex-officio) Prof. Bhartendu K Singh (Director) \\ndirector@iiitdmj.ac.in \\n2. Deputy Director To be nominated on appointment \\n5. Er . Sunil Trivedi \\nSE (Electrical), MPPKVVCL \\nsecityjabalpur@gmail.com \\nMember \\n6. Mrs. Swapnali Gadekar \\nActing Registrar and Officer-In-Charge \\nEst \\nPDPM IIITDM Jaba \\nSecretary (Ex-Officio) \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 4}, page_content='3. Deans (Ex-officio) 1. Dr . Mukesh Kumar Roy \\nFaculty-in-Charge (Student Affairs) \\nmkroy@iiitdmj.ac.in \\n \\n2. Prof. V . K. Gupta \\nProfessor In-charge (Academic) \\ndean.acad@iiitdmj.ac.in \\n3. Prof. Pritee Khanna \\nProfessor In-charge (RSPC) \\ndean.research@iiitdmj.ac.in \\n4. Heads of the \\nDepartments/Disciplines* (Ex-officio) \\n1) Dr . M. Zahid Ansari \\nHead, ME Discipline \\nheadme@iiitdmj.ac.in \\n2) Dr . Matadeen Bansal \\nHead, ECE Discipline \\nheadece@iiitdmj.ac.in \\n3) Dr . Prabir Mukhopadhyay \\nHead, Design Discipline \\n(headdesign@iiitdmj.ac.in) \\n4) Dr . Sraban Kumar Mohanty \\nHead, CSE Discipline \\nheadcse@iiitdmj.ac.in \\n5) Dr . Lokendra Balyan \\nHead, NS Discipline \\nheadns@iiitdmj.ac.in \\n \\n \\n6) Dr . Mamta Anand \\nHead, Liberal Arts (With merging of \\nHumanities) \\nheadla@iiitdmj.ac.in \\n5. All Professors other than Deans/Heads 1. Prof. Aparajita Ojha ( aojha@iiitdmj.ac.in ) \\n2. Prof. Puneet Tandon (ptandon@iiitdmj.ac.in) \\n3. Prof. Tanuja Sheorey (tanush@iiitdmj.ac.in) \\n4. Prof. P . N. Kondekar \\n(pnkondekar@iiitdmj.ac.in) \\n5. Prof. Dinesh Kumar V . (dineshk@iiitdmj.ac.in) \\n6. Prof. Prashant K. Jain (pkjain@iiitdmj.ac.in) \\n7. Prof. Prabin K Padhy (prabin16@iiitdmj.ac.in) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 5}, page_content='8. Prof. Atul Gupta (atul@iiitdmj.ac.in ) \\n9. Prof. S. N. Sharma (snsharma@iiitdmj.ac.in \\n \\n6. Three persons from amongst \\neducationists of repute or persons from \\nanother field related to the activities of \\nthe institute who are not in service of \\nthe Institute nominated by the Board of \\nGovernors; \\nName of the following persons were approved \\nby the Chairman, BOG, the same are proposed \\nfor the approval of the Chairman and to be \\nratified in the subsequent meeting of the Board: \\n7. Three members who are not members \\nof teaching staff co-opted by the Senate \\nfor their specialized knowledge \\nShri Rajeev Kumar Singh \\nGlobal Head Talent Acquisition, \\nWipro Ltd., \\n118 Crescent,Forest Trail, \\n Bhugaon, District-Pune 412115, \\nE-mail: rajeev.singhkumar@wipro.com \\n8. Secretary - \\nActing Registrar of the Institute (Ex-\\nOfficio) \\nMrs. Swapnali Gadekar \\nregistrar@iiitdmj.ac.in \\n \\n \\nWhy Join CSE@IIITDMJ \\nAn environment and the curriculum that provide you the right blend of flexibility and formality to \\nnurture your dreams and help shaping, polishing them to turn into a reality... \\n...and a catalyst for the sustainable socio-economic development of the country... \\nExpert teachers \\nA good teacher can ignite the imagination, and instill a love of learning. One looks back with \\nappreciation to the brilliant teachers, but with gratitude to those who touched our human feelings. \\nStudy Environment \\nIt is an environment where children can experiment and try out new ideas without fear or failure. \\nLearning is a kind of natural food for the dwelling mind. Self education is the key to learn. \\nResearch \\nConduct cutting-edge research in most of the principal areas of the field, lead a broad range of multi-\\ndisciplinary initiatives that demonstrate the transformative power of Computer Science and \\nComputer Engineering \\nInteractive Study '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 6}, page_content='Interactive learning can take many different forms. Students strengthen their critical thinking and \\nproblem-solving skills which can take place across the curriculum with or without technology. \\n \\n \\nFacilities \\nWhat you get when you enroll with us cse@iiitdmj \\nKnowledge is not what you acquire. It is the entity that you earn at the cost of comfort! \\nHigh Performance Computing Lab \\nSpecification of Parallel Cluster (for Central Computing Facility) - JS22 Blade No.3, 16GB(2*8GB) DDR2 \\n533 Mhz DiMMs, IBM 146GB SAS 10K SFF HDD, IBM blade center JS22 4-core 4.0 Ghz Processor, \\nNvidia DGX Station A100 (AI Data Center in a Box) \\nFundamental of Computing Lab \\nObject Oriented Programming Lab \\nEngineering Literacy Lab \\nDatabase Lab \\nComputer Networking Lab \\nSoftware Engineering Research Lab \\nImage Processing and Computer Vision Lab \\nUnix Lab \\nBiometric Lab \\nCryptography and Network Security Lab \\nIoT and Embedded Systems Lab \\nComputational Intelligence Lab \\n \\n \\n \\n \\n \\n \\nUndergraduate Programme \\nInstitute offers Four Year Undergraduate degree (B.Tech.) programme in: \\n\\uf0b7 Computer Science & Engineering '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 7}, page_content='\\uf0b7 Electronics & Communication Engineering \\n\\uf0b7 Design \\n\\uf0b7 Mechanical Engineering \\n\\uf0b7 Smart Manufacturing \\nEmphasis is laid on synthesis, creativity, hands-on experience, innovation, communication and \\nentrepreneurship. Learning is largely based on real-world situation in different sectors. This would \\nbring in the concept of verticals which could be the: \\n\\uf0b7 Automobile sector \\n\\uf0b7 Aerospace and Defence Sector \\n\\uf0b7 Industrial Machinery Sector \\n\\uf0b7 Engineering Services Sector \\n\\uf0b7 High-tech Electronics and \\n\\uf0b7 Consumer Durables / Life-style Products etc. \\nFor each vertical, key industry players would be identified and invited to partner with the Institute for \\nboth academic and research activities. \\n \\n \\nPostgraduate Programme \\nInstitute offers postgraduate programmes in : \\nM.Tech. Program: \\nM.Tech. number of seats and Specializations \\n Discipline Specialization Number of \\nseats \\nComputer Science & Engineering (CSE) \\nAI and ML 20 \\nData Science 20 \\nElectronics & Communication Engineering \\n(ECE) \\nCommunication System Design 10 \\nNanoelectronics and VLSI \\nDesign 10 \\nPower and Control 10 \\nMechanical Engineering (ME) \\nDesign 10 \\nCAD/CAM 10 \\nSmart Manufacturing (SM) Smart Manufacturing 10 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 8}, page_content='Mechatronics (MT) Mechatronics 10 \\nDesign (DS) - 30 \\nNote: \\n\\uf0b7 The students will be given choice to choose specialization at the time of admission and will \\nbe allocated specialization based on GATE rank. \\n\\uf0b7 All admissions in M.Tech will be through CCMT \\n\\uf0b7 M.Des. admissions will be through Institute level counseling with 10 seats for GATE \\nqualified and 20 seats for CEED qualified candidates. In case seat is not filled from one \\nqualifying exam it will be added to other . \\n \\n \\nM.Des. \\nMaster of Design \\n \\n \\nPh.D. \\n(1) Computer Science & Engineering (CSE) \\n(2) Electronics & Communication Engineering (ECE) \\n(3) Mechanical Engineering (ME) \\n(4) Design \\n(5) Natural Sciences (NS) \\n \\n \\nIntegrated (MTech + Ph.D.) \\n(1) Computer Science & Engineering (CSE) \\n(2) Electronics & Communication Engineering (ECE) \\n(3) Mechanical Engineering (ME) \\n(4) Design \\n \\n \\nSpecial Part Time MTech/MDes Program \\n(1) Computer Science & Engineering (CSE) \\n(2) Electronics & Communication Engineering (ECE) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 9}, page_content=\"(3) Mechanical Engineering (ME) \\n(4) MDes \\n \\n \\nUndergraduate programs \\nNeed Help for Physical Reporting || FAQ \\n \\nBus facility for New UG students and their parents on 16th and 17th August 2024 \\nInformation For Newly Admitted Students (for the AY 2024-25) through JoSSA /CSAB/ UCEED/ SII/ \\nDASA \\nPhysical Reporting at the Institute 16.08.2024 \\nOrientation 17.08.2024 \\nDocument Verification 16.08.2024 \\nClasses commencement 19.08.2024 \\n\\uf0b7 Regarding in-campus accommodation for Parents/ Guardians : Institute offers Visitors' \\nHostel facility on campus, however it has a limited number of rooms available. Parents/ \\nGuardian of students who may like to visit the campus (before 10th August) may forward \\ntheir request of VH accommodation at vh@iiitdmj.ac.in. \\n\\uf0b7 During the physical reporting and document verification process of newly admitted \\nstudents, VH facility won't be available. \\n\\uf0b7 Detailed instructions for students who have been offered admissions through UCEED / SII/ \\nDASA will be posted shortly. \\n\\uf0b7 Hostel allotment related details will be posted shortly. \\n\\uf0b7 List of documents to be carried out (in original and a set of photocopies) during the \\ndocument verification process. \\nSno Documents \\n1 Original Provisional Admission Letter/ Allotment Letter/Offer Letter/ \\n2 Class X (High School) Marksheet \\n3 Mark sheet of Class XII \\n4 JEE Main Score Card & Admit card. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 10}, page_content='5 Transfer, Character & Migration certificate (must be original) \\n6 Certificate of category (OBC / SC / ST /EWS), if applicable, issued by the competent authority. (OBC/EWS certificate must \\nbe issued on or after April 1, 2024, in central Govt. format) as per JOSAA/CSAB/UCEED). \\n7 Candidates of Maharashtra State need to submit the caste validity certificate issued by the competent authority. \\n8 Certificate for Persons with Disabilities (PWD), if applicable \\n9 Fee Receipt (Fee paid in JoSAA/CSAB/UCEED) \\n 10 Medical fitness Certificate from the doctor, not below the rank of Senior Medical Officer in prescribed format or JoSAA \\nformat \\n11 \\nAnti ragging declaration to be filled at \\nwww.antiragging.in \\nBring a downloaded copy of the same. Kindly fill it once you receive your roll number . \\n \\n12 Anti-Drug declaration form. prescribed format \\n13 Online receipt of Remaining Institute fee. \\n14 Copy of Aadhaar card as proof of address. \\n15 5 Passport size photograph \\n \\n \\nOffice of Dean (Academic) \\nProf. Vijay Kumar Gupta \\nProfessor, Electronics & Communications Engineering \\nProfessor In-charge(Academic) \\nPDPM IIITDM Jabalpur \\n \\nS.No Photo Employee Name Designation \\n1 \\n \\nProf. Vijay Kumar Gupta Professor In-charge(Academic) \\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 11}, page_content='2 \\n \\nDr . Sachin Kumar Jain Associate Professor In-charge(Academic) \\n3 \\n \\nMrs. Priti Patel Assistant Registrar \\n4 \\n \\nMr . Pankaj Prajapati Senior Assistant \\n5 \\n \\nMr . Richard Saberio Senior Assistant \\n6 \\n \\nMr . Nitin Tripathi Office Assistant \\n7 \\n \\nMs. Simran Kaur Kalra Office Assistant \\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 12}, page_content='8 \\n \\nMr . Shashank Patel Office Assistant \\n9 \\n \\nMr . Irshad Ahmed Office Assistant \\n \\n \\n \\n \\nOffice of Dean (Students) \\n \\n \\nDr . Mukesh Kumar Roy Faculty-in-Charge (Student Affairs) \\nPhone No: 0761-2794171 \\nEmail: dean.s@iiitdmj.ac.in \\n \\nShri. Santosh Mahobia Assistant Registrar (Students) \\nPhone No: 0761-2794175 \\nEmail: arsa@iiitdmj.ac.in \\n \\nShri. Rajesh Kanaujia Senior Assistant \\nPhone No: 0761-2794174 \\nEmail: krajesh@iiitdmj.ac.in \\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 13}, page_content=' \\nMs. Aishwarya Pradhan Senior Assistant \\nPhone No: 0761-2794174 \\nEmail: aishwarya@iiitdmj.ac.in \\n \\nShri. Amit Kashyap Office Assistant \\nPhone No: 0761-2794174 \\nEmail: kashyapa@iiitdmj.ac.in \\n \\nShri. Monti Jatav Peon \\nMessage for Students \\nDear Students \\nHearty congratulations on being taken a wise move of joining IIITDMJ community. I extend a warm \\nwelcome and assure you to take this treasured journey together in the right earnest. \\nPDPM IIITDMJ is one of the unique academic Institutes with regard to its curriculum and emphasize \\non project-oriented learning. I am happy to write that Indian as well as Japanese industries are \\nrecognizing enhanced capabilities of our students due to the unique curriculum. The atmosphere on \\nthe campus is lively and I am sure you will enjoy every moment spent here and will cherish for the \\nrest of your life. \\nRest assured that our academic standards are by no means easy and this year is no exception. Being a \\ngrowing Institute, every year new laboratories and new courses are adding-on. Institute \\ninfrastructure is ever-growing. You will find the campus to be lush green with spread out areas \\nearmarked for (a) student halls of residence (there are two and one more will come up soon), (b) the \\nacademic area and (c) residential area for faculty members and staff. Students are making every \\neffort for betterment of Gymkhana facilities and you must make good use of it. I sincerely hope that \\nwithin no time you will become part of one or more of gymkhana clubs that are organizing year-\\nround activities. I strongly believe that by blending the studies with extra-curricular activities in the \\nright balance, an allround personality may be built. \\nYou are advised to take note of the rules and regulations that exists for all and available in our \\nwebsite, both academic guidelines and the rules for conduct and discipline. We strongly believe in \\neducating students and expect them to behave as a responsible person. You will find the IIITDMJ \\ncommunity most cooperating, compassionate, and at the same time professional, firm in dealing \\nwith violators of our code of conduct and discipline. \\nPlease be firm to say no to any act of ragging. Help us in eliminating this menace from our society by \\nstanding firm against it. We have a series of plans to deter such acts of ragging and we are quite sure \\nwe will be able to offer you an incident free stay so that you can concentrate on your primary \\nobjective of studying and enjoying the student life here in the Institute. We have in place a strong \\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 14}, page_content=\"counselling service comprising of faculty and students to help you tide over the early days here and \\nlend you a helping hand when you need it most. If you ever require a listening ear or a person to talk \\nwith, do not hesitate to come and meet me or drop an email or contact Head, counselling services \\nimmediately. Feel free to get in touch with us in case you need any help or if you need any \\nclarification on any matter . Have a great time at IIITDMJ. \\nA final word of caution: Remain focussed at your primary objective. At times students drift so far \\naway that coming back becomes a time consuming job if not impossible. \\n \\n \\n \\n \\nStudents' Gymkhana \\nStudents' Gymkhana is constituted to evolve a disciplined self-governance for carrying out various \\nextracurricular in-campus activities and to establish a responsible and accountable student body. \\nStudents’ Gymkhana is governed by Student Senate which is constituted in democratic way through \\nelections among each discipline and batch of the students. Student Senate members are elected \\nthrough direct ballot voting, every year in the first week of January. Every registered student of the \\nInstitute is by-default member of student gymkhana and would have right to vote. All members of \\nthe student gymkhana who have their CPI >= 6.5 will be eligible to make their candidature for the \\nStudent Senate. \\n \\n \\n \\nThe Students' Senate has 2-3 representatives from each class. There are around 40 members in the \\nStudent Senate. Various gymkhana clubs that are part of Cultural, Sports and Technical, work under \\nStudents gymkhana. Club coordinators and co-coordinators will be selected based on their skill and \\npast performance in the Institute by the members of that club and duly ratified by the Student \\nSenate. All members of the student gymkhana who have their CPI>= 6.0 are eligible to become \\nmentors, coordinators, co-coordinators for various clubs. \\nStudent gymkhana is headed by Dean, Students, who is nominated by Board of Governor of the \\nInstitute for three years. Dean (Students) chairs all the meetings of the Student Senate and guides \\nstudent representatives in organizing gymkhana activities throughout the year . Apart from this, three \\nfaculty members designated as Sports, Cultural and Technical Counsellors, look after sports, cultural \\nand technical activities respectively and respective major festivals organized by the students' \\ngymkhana. \\nBrief Information regarding Clubs \\n\\uf0b7 A. Cultural Club: The Institute has vibrant Cultural Clubs that provide a platform for students \\nto showcase their creativity and talent. There are six clubs associated with our cultural \\nfraternity, namely: (i) Saaz (Music Club), (ii) Jazbaat (Dramatics Society Club), (iii) Aavartan \\n(Dance Club), (iv) Abhivayakti (Arts & Craft Club), (v) Aakrti (The Film Making & Photography \\nClub), and (vi) Samvaad (Literature & Quizzing Society Club). The activities of the cultural \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 15}, page_content='committee are largely student-driven with proper guidance from faculty members. These \\nclubs are active throughout the year . Besides helping students in honing their talent and \\nskills, they organize their respective annual festivals. \\n\\uf0b7 B. Science & Technology Club: There are in all 7 different Science and Technology Clubs \\nwhich are mentored separately by Faculty Members. Since the inception of the Institute, \\nthe technical fest “Abhikalpan” held annually is a popular event among different colleges of \\nJabalpur and the surrounding regions. Apart from that, Hackathon, Racing, Programming, \\nElectronics, 3D priniting, Business and Management, Fabrication and Astronomy related \\nevents are organized throughout the year . \\n\\uf0b7 C. Sports Club: Sports and games play a major role in keeping a person fit and fine. Sports in \\ngeneral inculcates, team work, mental strength and physical fitness along with ethics, \\nrespect to the opponent, fair play in real life aspects as well. Truly said! At IIITDM Jabalpur, \\nwe provide facilities for students to experience “above and beyond” academic experience, \\nto maintain their physical fitness and to excel as a bright student. IIITDM Jabalpur has \\nexcellent infrastructure facilities for both outdoor and indoor games and sports. The \\noutdoor games include Volley Ball, Foot Ball, and Cricket, Lawn Tennis, Basket Ball and \\nAthletic ground. A Flood light facility is provided for outdoor games like volleyball, lawn \\ntennis, basketball and Football. The Indoor-Students Activity Center (SAC) provides the \\nfollowing facilities: Shuttle Badminton, Chess, Caroms and Table Tennis with wooden \\nflooring, and other multi-Gyms activities. We are preparing students by organizing \\nintramural and extramural competitions. We encourage student participation in inter-\\ncollegiate, inter-IIIT and other open tournaments across the country. \\nFinally, IITDM Jabalpur sports fraternity has a unique ability to bring people from different \\nbackgrounds together, as well as teach valuable life lessons. \\nName Designation Contact \\nDr . Mukesh Kumar Roy Faculty-in-Charge (Student Affairs) dean.s@iiitdmj.ac.in \\nDr . Koushik Dutta Associate Cultural Counselor koushikdutta@iiitdmj.ac.in \\nDr . Dip Prakash Samajdar Sports Counsellor dip.samajdar@iiitdmj.ac.in \\nDr . Parikshit Kundu Associate Sports Counsellor pkundu@iiitdmj.ac.in \\nDr . Amit Vishwakarma Science & Technology Counsellor amitv@iiitdmj.ac.in \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 16}, page_content=' \\nvarious Clubs Under Gymkhana 2024 \\nCLUTURAL CLUB \\nCLUTURAL CLUB (2023-24) \\n Counselor: Dr . Koushik Dutta Phone No. 0761-2794, Mobile No: 9163080083, Email: koushikdutta@iiitdmj.ac.in \\nConvener , Cultural Council: \\nMobile No \\nCo-convener, Cultural Council: \\nMobile No. \\nSl No Position Roll No Name Programme Branch Mobile No E- Mail Address \\n1 \\nAavartan- The Dance Club Website: aavartan.iiitdmj.ac.in aavartan@iiitdmj.ac.in \\nCoordinator 21BEC020 Ankur Yadav B.Tech ECE 7619984684 21bec020@iiitdmj.ac.in \\nCo- \\ncoordinator 21BEC027 Ashish B.Tech ECE 9991689805 21bec027@iiitdmj.ac.in \\nCo- \\ncoordinator 22BSM013 Bhavika \\nSehgal B.Tech Smart \\nManf. 8726788999 22bsm013@iiitdmj.ac.in \\n2 \\nAbhivayakti- The Arts & Craft Club Website: abhivayakti.iiitdmj.ac.in abhivaykti@iiitdmj.ac.in \\nCoordinator 21BDS038 Rohan \\nKumar B. Des Design 8745099910 21bds038@iiitdmj.ac.in \\nCo- \\ncoordinator 22BDS062 Tejas \\nSuryawanshi B. Des Design 9420244605 22bds062@iiitdmj.ac.in \\nCo- \\ncoordinator 22BDS011 Arushi \\nChandak B. Des Design 7304292225 22bds011@iiitdmj.ac.in \\n3 \\nAakrti- The Film Making & \\nPhotography Club Website: aakriti.iiitdmj.ac.in aakriti@iiitdmj.ac.in \\nCoordinator 21BCS070 Darsi \\nVenkata \\nB.Tech CSE 9346485364 21bcs070@iiitdmj.ac.in '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 17}, page_content='Manjith \\nKumar \\nCo-\\ncoordinator 22BCS091 Gottapatti \\nPraneeth B.Tech CSE 9866602939 22bcs091@iiitdmj.ac.in \\nCo-\\ncoordinator 22BDS010 Anshul B. Des Design 9791014918 22bds010@iiitdmj.ac.in \\n4 \\nJazbaat- The Dramatics Society Club Website: jazbaat.iiitdmj.ac.in jazbaat@iiitdmj.ac.in \\nCoordinator 21BCS072 Deepanshu \\nKumar B.Tech CSE 8882897323 21bcs072@iiitdmj.ac.in \\nCo- \\ncoordinator 22BME063 Uday \\nShakya B.Tech ME 7017477241 22bme063@iiitdmj.ac.in \\nCo- \\ncoordinator 22BDS004 Abhiram \\nVijayaraghvan B. Des Design 9059395504 22bds004@iiitdmj.ac.in \\n5 \\nSaaz- The Music Club Website: saaz.iiitdmj.ac.in saaz@iiitdmj.ac.in \\nCoordinator 21BSM029 Kaustubh \\nUpadhyay B.Tech Smart \\nManf. 6260595371 21bsm029@iiitdmj.ac.in \\nCo- \\ncoordinator 21BCS228 Utkarsh Raj B.Tech CSE 9508566947 21bcs228@iiitdmj.ac.in \\nCo- \\ncoordinator 22BEC088 Prateek \\nPandey B.Tech ECE 9892537975 22bec088@iiitdmj.ac.in \\n6 \\nSamvaad- The Literature & Quizzing \\nSociety Club Website:samvaad.iiitdmj.ac.in samvaad@iiitdmj.ac.in \\nCoordinator 21BEC070 \\nMettu \\nVarun Aditya \\nReddy \\nB.Tech ECE 7013584990 21bec070@iiitdmj.ac.in \\nCo- \\ncoordinator 21BEC096 Sambhav \\nGupta B.Tech ECE 96672 \\n82886 21bec096@iiitdmj.ac.in \\nCo- \\ncoordinator 22BDS053 Charvi \\nGolechha B. Des Design 73406 \\n61245 22bds053@iiitdmj.ac.in \\nSCIENCE & TECHNOLOGY CLUB '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 18}, page_content='SCIENCE & TECHNOLOGY 2024 \\nCounselor: Dr . Amit K. Vishwakarma Phone No: 761-2794481, Email: amitv@iiitdmj.ac.in \\nConvener Science & Technology Council: \\nCo-convener Science & Technology Council: \\nSl \\nNo Position Roll No Name of the Students Programme Branch Mobile No E- Mail Address \\n1 \\nAstronomy & Physics Society Club Website: astronomy.iiitdmj.ac.in astronomy@iiit\\ndmj.ac.in \\nFaculty Mentor: Dr . Amit Viswakarma, \\nEmail id: \\namitv@iiitdmj.ac.in \\n \\nCoordinator 21BEC003 ABHAY SINGH B.Tech ECE 8429251254 21bec003@iiitd\\nmj.ac.in \\nCo-coordinator 22BEC010 ALOK RAI B.Tech ECE 9151348969 22bec010@iiitd\\nmj.ac.in \\n2 \\nAero Fabrication Club Website: aerofabrication.iiitdmj.ac.in afc@iiitdmj.ac.i\\nn \\nFaculty Mentor: Prof. V .K. Gupta, Phone No: 0761-2794413Email: vkgupta@iiitdmj.ac.in \\nCoordinator 21BME043 RUDRESH SINGH B.Tech ME 8542827761 21bme043@iiit\\ndmj.ac.in \\nCo-coordinator 22BME051 SANKALP B.Tech ME 6206153658 22bme051@iiit\\ndmj.ac.in \\n3 \\nBusiness and Management Club Website: bmc.iiitdmj.ac.in bmc@iiitdmj.ac\\n.in \\nFaculty Mentor: Dr . Sunil Agrawal, Phone No: 0761-2794035, Email:sa@iiitdmj.ac.in \\nCoordinator 21BEC081 PRIYANSHU KUMAR \\nSINHA B.Tech ECE 8507224005 21bec081@iiitd\\nmj.ac.in \\nCo-coordinator 21BSM028 KAPIL KUMAR SUARA B.Tech SM 7073626911 21bsm028@iiit\\ndmj.ac.in '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 19}, page_content=\"4 \\nCAD and 3D Printing Club Website: cadclub.iiitdmj.ac.in cadclub@iiitdm\\nj.ac.in \\nFaculty Mentor: Dr . Prashant K Jain, Phone No: 0761-2794415, Email: pkjain@iiitdmj.ac.in \\nCoordinator 21BME042 ROHIT KUMAR SONKAR B.Tech ME 9770651817 21bme042@iiit\\ndmj.ac.in \\nCo-coordinator 22BME021 CHETAN ANAND \\nJHARIYA B.Tech ME 7000947461 22bme021@iiit\\ndmj.ac.in \\n5 \\nIIITDMJ Racing Club Website:racing.iiitdmj.ac.in racing@iiitdmj.\\nac.in \\nFaculty Mentor: Dr . Ponappa.K, Phone No: 0761-2794430, Email: kponappa@iiitdmj.ac.in \\nCoordinator 21BME034 PIYUSH RAJ B.Tech ME 9799042552 21bme034@iiit\\ndmj.ac.in \\nCo-coordinator 22BME055 SHIVANSHU GUPTA B.Tech ME 7607990976 22bme055@iiit\\ndmj.ac.in \\n6 \\nThe Programming Club Website: webix.iiitdmj.ac.in theprogclub@ii\\nitdmj.ac.in \\nFaculty Mentor: Dr . Atul Gupta, Phone No: 0761-2794223, Email: \\natul@iiitdmj.ac.in \\nCoordinator 22BEC043 ESHAAN MODI B.Tech ECE 7834809103 22bec043@iiitd\\nmj.ac.in \\nCo-coordinator 22BEC100 RISHI NITIN GODRE B.Tech ECE 7021349273 22bec100@iiitd\\nmj.ac.in \\n7 \\nElectronics and Robotics Society Website: robotics.iiitdmj.ac.in ers@iiitdmj.ac.i\\nn \\nFaculty Mentor: Prof. Tanuja Sheorey, Phone No: 0761-2794412, Email: tanush@iiitdmj.ac.in \\nCoordinator 21BME031 NITIN MAURYA B.Tech ME 9554788080 21bme031@iiit\\ndmj.ac.in \\nCo-coordinator 22BEC098 REISHABH RATHORE B.Tech ECE 9315137833 22bec098@iiitd\\nmj.ac.in \\nSPORT'S CLUB \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 20}, page_content='SPORTS COUNCIL 2024-25 \\nCounselor: Dr . Dip Prakash Samajdar \\nPhone No: 761-2794474, Email: dip.samajdar@iiitdmj.ac.in / sports@iiitdmj.ac.in \\nAssociate Sports Counselor: Dr .Parikshit Kundu \\nEmail:pkundu@iiitdmj.ac.in \\nConvener Sports Council: Samarth Raj (21BEC094), Mobile No.9508113804, Email id:21bec094@iiitdmj.ac.in \\nCo-convener Sports Council: Sparsh Ranjan (21BCS205), Mobile No.6299160544, Email id:21bcs205@iiitdmj.ac.in \\nS\\nl \\nNo \\nPosition Roll No Name of the \\nStudents \\nProgra\\nmme \\nBra\\nnch \\nMobile \\nNo E- Mail Address \\n1 \\nAthletics \\nWebsite: atheletics.iiitdmj.ac.i\\nn \\n \\nathleticclub@iiitdmj.ac\\n.in \\nFaculty Coordinator: Dr .Nihar Kumar Mahato, Email id: nihar@iiitdmj.ac.in,0761-2794347 \\nStaff Coordinator: Akhilesh Srivastava & Sumit \\nVishwakarma \\n \\nCoordinato\\nr \\n22BEC\\n095 RAJ PATEL B.Tech EC\\nE \\n8174941\\n414 \\n22bec095@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BCS\\n184 MAITREK PATEL B.Tech CS\\nE \\n9157161\\n203 \\n22bcs184@iiitdmj.ac.i\\nn \\n2 \\nBadminton Website: badminton.iiitdmj.ac\\n.in \\nbadmintonclub@iiitdm\\nj.ac.in \\nFaculty Coordinator: Dr .Vijay Pal Rathore, Phone No: 0761-279 Email: vrathor@iiitdmj.ac.in \\nStaff Coordinator:Mr .Adesh Gaur & Santosh Gauda \\nCoordinato\\nr \\n21BEC\\n112 SOUMENDRA BISOI B.Tech EC\\nE \\n8144963\\n307 \\n21bec112@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BCS\\n010 ADITYA GARG B.Tech CS\\nE \\n7015273\\n349 \\n22bcs010@iiitdmj.ac.i\\nn \\n3 Basketball Website: basketball.iiitdmj.ac\\n.in \\nbasketballclub@iiitdmj\\n.ac.in '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 21}, page_content='Faculty Coordinator: Dr .Vijay Pal Rathore, Phone No: 0761-279 Email: vrathor@iiitdmj.ac.in \\nStaff Coordinator:Mr .Adesh Gaur & Santosh \\nGauda \\nCoordinato\\nr \\n21BEC\\n095 SAMARTH YADAV B.Tech EC\\nE \\n9810803\\n615 \\n21bec095@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BSM\\n065 \\nVASUDEV \\nCHOUKSEY B.Tech SM 8839141\\n848 \\n22bsm065@iiitdmj.ac.i\\nn \\n4 \\nCarrom Website: carroms.iiitdmj.ac.in carromclub@iiitdmj.ac\\n.in \\nFaculty Coordinator: Dr .Neeraj Kumar Jaiswal, Phone No: 0761-2794352 Email:neeraj@iiitdmj.ac.in \\nStaff Coordinator: Mr . Rajesh Kanaujia & Mr . Richard Saberio \\nCoordinato\\nr \\n21BME\\n026 \\nLUNAVATH PRITHVI \\nRAJ B.Tech ME 8919715\\n889 \\n21bme026@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BCS\\n033 ANKEM AVINASH B.Tech CS\\nE \\n6300844\\n775 \\n22bcs033@iiitdmj.ac.i\\nn \\n5 \\nChess Website: chess.iiitdmj.ac.in chessclub@iiitdmj.ac.i\\nn \\nFaculty Coordinator: Dr .Neeraj Kumar Jaiswal, Phone No: 0761-2794352 Email:neeraj@iiitdmj.ac.in \\nStaff Coordinator: Mr . Rajesh Kanaujia & Mr . Richard Saberio \\nCoordinato\\nr \\n21BEC\\n094 SAMARTH RAJ B.Tech ME 9508113\\n804 \\n21bec094@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BCS\\n159 MEHTA DARPAN B.Tech ME 9426837\\n032 \\n22bcs159@iiitdmj.ac.i\\nn \\n6 \\nCricket website: cricektclub.iiitdmj.ac\\n.in \\n cricketclub@iiitdmj.ac.\\nin \\nFaculty Coordinator: Dr .Neeraj Kumar Jaiswal, Phone No: 0761-2794352 Email:neeraj@iiitdmj.ac.in \\nStaff Coordinator: Mr . Rajesh Kanaujia & Mr . Richard \\nSaberio \\nCoordinato\\nr \\n21BME\\n048 SAURABH KUMAR B.Tech EC\\nE \\n8905498\\n572 \\n21bme048@iiitdmj.ac.i\\nn '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 22}, page_content='Co-\\ncoordinator \\n22BCS\\n176 OM PANDEY B.Tech CS\\nE \\n7489211\\n595 \\n22bcs176@iiitdmj.ac.i\\nn \\n7 \\nFootball Website: football.iiitdmj.ac.in football@iiitdmj.ac.in \\nFaculty Coordinator: Dr .Neeraj Kumar Jaiswal, Phone No: 0761-2794352 Email:neeraj@iiitdmj.ac.in \\nStaff Coordinator: Mr . Rajesh Kanaujia & Mr . Richard Saberio \\nCoordinato\\nr \\n21BCS\\n205 SPARSH RANJAN B.Tech CS\\nE \\n6299160\\n544 \\n21bcs205@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BME\\n056 SHREYANSH SINGH B.Tech ME 9131608\\n006 \\n22bme056@iiitdmj.ac.i\\nn \\n8 \\nGymnasium \\nFaculty Coordinator: Dr .Nihar Kumar Mahato, Email id: nihar@iiitdmj.ac.in, Phone no: 0761-2794347 \\nStaff Coordinator:Akhilesh Srivastava & Sumit Vishwakarma \\nCoordinato\\nr \\n21BCS\\n006 ADARSH KUMAR B.Tech CS\\nE \\n9915125\\n131 \\n21bcs006@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BEC\\n052 HARSH YADAV B.Tech EC\\nE \\n9571643\\n273 \\n22bec052@iiitdmj.ac.i\\nn \\n9 \\nKabaddi \\nFaculty Coordinator: Dr .Avinash Chandra Pandey, Email id: avish.p@iiitdmj.ac.in,Phone No.0761-279 \\nStaff Coordinator: Dr .Dada Saheb Ramteke & Mr .Ghanshyam Meshram \\nCoordinato\\nr \\n21BCS\\n076 DHARAVATH VINOD B.Tech CS\\nE \\n9392408\\n697 \\n21bcs076@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BSM\\n011 AYUSH ANAND B.Tech SM 7091967\\n805 \\n22bsm011@iiitdmj.ac.i\\nn \\n1\\n0 \\nLawn Tennis Website: lawntennis.iiitdmj.a\\nc.in \\nlawntennis@iiitdmj.ac.\\nin \\nFaculty Coordinator: Dr .Avinash Chandra Pandey, Email id: avish.p@iiitdmj.ac.in,Phone No.0761-279 \\nDr .Dada Saheb Ramteke & Mr .Ghanshyam Meshram \\nCoordinato\\nr \\n20BSM\\n024 HARSHIT KUMAR B.Tech SM 9506593\\n508 \\n20bsm024@iiitdmj.ac.i\\nn '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 23}, page_content=\"Co-\\ncoordinator \\n22BME\\n008 \\nANANT PRAKASH \\nYADAV B.Tech ME 6394359\\n474 \\n22bme008@iiitdmj.ac.i\\nn \\n1\\n1 \\nTable Tennis Website: tabletennis.iiitdmj.a\\nc.in \\ntabletennisclub@iiitdm\\nj.ac.in \\nFaculty Coordinator: Dr .Avinash Chandra Pandey, Email id: avish.p@iiitdmj.ac.in,Phone No.0761-279 \\nDr .Dada Saheb Ramteke & Mr .Ghanshyam Meshram \\nCoordinato\\nr \\n21BEC\\n036 CHINMAY JOSHI B.Tech EC\\nE \\n8104674\\n440 \\n21bec036@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BEC\\n080 \\nOMKAR BHASKAR \\nPATIL B.Tech EC\\nE \\n7021745\\n212 \\n22bec080@iiitdmj.ac.i\\nn \\n1\\n2 \\nVolleyball Website: volleyball.iiitdmj.ac.\\nin \\nvolleyballclub@iiitdmj.\\nac.in \\nFaculty Coordinator: Dr .Vijay Pal Rathore, Phone No: 0761-279, Email: vrathor@iiitdmj.ac.in \\nStaff Coordinator:Mr .Adesh Gaur & Santosh Gauda \\nCoordinato\\nr \\n21BCS\\n131 MAYANK GURJAR B.Tech CS\\nE \\n6350076\\n689 \\n21bcs131@iiitdmj.ac.i\\nn \\nCo-\\ncoordinator \\n22BCS\\n119 K MADHAN KUMAR B.Tech CS\\nE \\n9059096\\n529 \\n22bcs119@iiitdmj.ac.i\\nn \\n1\\n3 \\nYOGA & MEDITATION \\nFaculty Coordinator: Dr .Shivdayal Patel, Phone No: 0761-2794428, Email:shivdayal@iiitdmj.ac.in \\nStaff Coordinator:Mr .J.B.Singh \\n \\n \\n \\nStudents' Activities \\nIIITDMJ emphasizes on several extra-curricular activities in addition to its rigorous academic \\nprogramme. Although the institute is in the growing stage, Football ground, Volleyball court, \\nbasketball court and tennis court are fully functional at the institute premises. IIITDMJ students have \\nformed various clubs under Students Gymkhana, which organises various cultural, sports and science \\n& technology activities throughout the year . \\n \\nStudents' Participation in IIITDMJ- Japan Collaboration \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 24}, page_content='Participation of students in IIITDMJ - Japan collaboration has reached to new heights. Every year, \\nboth during winter and summer vacation, students are going to Japan for 10 days exposure visit, in \\nwhich they not only visit leading industries, renowned laboratories and leading academic universities, \\nbut also are introduced to Japanese culture. Both Industry and academia of Japan are now having a \\nvery good impression of capabilities of our students and eager to place the students, both for MS \\nprogram and in industry. Few among them are AMADA, Canon and GE energy. Some students are \\nnow pursuing MS in Japan’s leading academic Institutions, University of Tokyo and Tokyo Institute of \\nTechnology. With the introduction of project based internship (PBI) in the curriculum, in the year \\n2012 five students had been offered six month long internship in MHI, Canon and Chiba University. \\nBased on their performance during internship, the students shall be offered jobs in respective \\ncompanies. \\n \\n \\n \\nAnnual Fest \\nThe students have been organizing annual inter-college festivals namely “Tarang” (Cultural Fest), \\n“Abhikalpan” (Tech Fest) and “Gusto” (Sports Fest) in the campus regularly ever since the inception \\nof the institute. These festivals have become very popular among the students of other colleges of \\nJabalpur and a significant number of students of other colleges participate in these events. Apart \\nfrom this, various festivals at inter-hall level like DMD battle (Cultural event), Enthuse (Sports event) \\nand various technical events such as Photography Exhibitions, Robotics events, etc, are also being \\norganized by students. Institute has also opened SPIC-MACAY chapter under whose banner various \\ncultural and folk events are being organised. National Festivals like Independence Day and Republic \\nDay are also organized by IIITDMJ students with great enthusiasm. \\n \\n \\n \\nCounseling Service \\nat IIITDM Jabalpur \\nCounseling is a talking therapy, a way of exploring what might help a student find his way through his \\ncurrent difficulties. The counseling Service believes that with support, the student is the best person \\nto work out what right for him. We only ‘provide help’ to enable a student to find his own answers \\nand work towards increasing his sense of competency and selfworth. \\nMany students need the help of the counseling Service to talk about things like: \\n(a)Academic Problems. \\n(b)Interpersonal Relationship. \\n(c)Worry. \\n(d)Feeling ‘down’ or ‘depressed. \\nThe counseling Service at IIITDMJ is supported by a strong team of students/Faculty/Counsellor . \\nIt is constituted by the following- '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 25}, page_content='1. Head, counseling Service \\n2. Student Coordinators \\n3. Assistant Student Coordinators \\n4. Student Guides \\n5. Faculty Adviser \\n6. Professional Counsellor \\n7. Academic Helpers \\nThe counseling Service provides logistics in improving student’s difficulties in various ways from \\nacademic to social life. It is an integral part of the Institute that closely works with the faculty \\nmembers and the administration along with the student community. \\nAnkita Nemu (20PNPO01) – PG Coordinator \\nAyush Saxena (Roll No: 20BCS052) CSE – UG Coordinator \\nChandravanshi Shubham Arun (Roll No: 20BCS064) CSE – UG Co-coordinator \\n \\nPG-Students Counseling Committee Members \\nName Roll No. Batch Email id. \\nAnkita Nemu 20PNPO01 PhD 20PNPO01@iiitdmj.ac.in \\nDivyansh Tiwari 22MECV01 M.Tech 22MECV01@iiitdmj.ac.in \\nSukanta Halder 21PNMO03 PhD 21PNMO03@iiitdmj.ac.in \\nPuspendu Adhikari 22MDS011 M.Des 22MDS011@iiitdmj.ac.in \\nBabban Kumar 21PNPO01 PhD 21PNPO01@iiitdmj.ac.in \\nDwitiya Sarkar 21PDEO01 PhD 21PDEO01@iiitdmj.ac.in \\nHimanshi Shinde 21PDEO03 PhD 21PDEO03@iiitdmj.ac.in \\nKotti Akhila Priya 21PNPO02 PhD akhila.kotti@iiitdmj.ac.in \\nAnjali Agrawal 20MECC01 PhD 20MECC01@iiitdmj.ac.in \\nSakshi Patel 21IDSO03 PhD 21IDSO03@iiitdmj.ac.in \\nArundhati Dharia 22MDS001 M.Des 22MDS001@iiitdmj.ac.in '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 26}, page_content='Akash Patnaik 20PECO01 PhD 20PECO01@iiitdmj.ac.in \\nShubham Sharma 1915607 PhD shub.srma@iiitdmj.ac.in \\nUG-Students Counseling Committee Members \\n Name Roll Number Batch Email id \\nHrithik Ranjan 21bcs102 B.Tech 2021, CSE 21bcs102@iiitdmj.ac.in \\nMd.Aiyub Hussain 21bec069 B.Tech 2021, ECE 21bec069@iiitdmj.ac.in \\nVedant Vijaykumar Bande 21bcs238 B.Tech 2021, CSE 21bcs238@iiitdmj.ac.in \\nvarun raj 21bcs236 B.Tech 2021, CSE 21bcs236@iiitdmj.ac.in \\nJesvia Susan Varghese 21bcsd01 B.Tech 2021, CSE 21bcsd01@iiitdmj.ac.in \\nSaumy Aryan 21bcs187 B.Tech 2021, CSE 21bcs187@iiitdmj.ac.in \\nHimanshu 21bec053 B.Tech 2021, ECE 21bec053@iiitdmj.ac.in \\nSparsh Ranjan 21bcs205 B.Tech 2021, CSE 21bcs205@iiitdmj.ac.in \\nPallavi Sarkar 21bds029 B.Des 2021, Design 21bds029@iiitdmj.ac.in \\nMridul Deep 21bsm037 B.Tech 2021, ME 21bsm037@iiitdmj.ac.in \\nGauri Singhal 21bme018 B.Tech 2021, ME 21bme018@iiitdmj.ac.in \\nDeepanshu kumar 21bcs072 B.Tech 2021, CSE 21bcs072@iiitdmj.ac.in \\nGaurang Bhutani 21bcs085 B.Tech 2021, CSE 21bcs085@iiitdmj.ac.in \\nHarsh bansal 21bcs093 B.Tech 2021, CSE 21bcs093@iiitdmj.ac.in \\nRameshwar Paryani 21bcs171 B.Tech 2021, CSE 21bcs171@iiitdmj.ac.in \\nShreya Varshney 21bds047 B.Des 2021, Design 21bds047@iiitdmj.ac.in '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 27}, page_content=' \\nHead Counseling Service \\n\\uf0b7 Dr . Deepmala, \\nEmail: deepmala@iiitdmj.ac.in, \\nContact: 0761- 2794353 \\n \\nCore Faculty Team(Counseling): \\n\\uf0b7 Prof. Vijay Kumar Gupta \\nEmail:vkgupta@iiitdmj.ac.in \\nContact: 0761-2794413 \\n\\uf0b7 Prof. Puneet Tandon \\nEmail:ptandon@iiitdmj.ac.in \\nContact: 0761-2794411 \\n\\uf0b7 Dr . Vinod Kumar Jain \\nEmail:vkjain@iiitdmj.ac.in \\nContact: 0761-2794220 \\n\\uf0b7 Dr .Tushar Choudhary \\nEmail:tushar .choudhary@iiitdmj.ac.in \\nContact: 0761-2794433 \\n\\uf0b7 Dr .Dip Prakash Samajdar \\nEmail:dip.samajdar@iiitdmj.ac.in \\nContact: 0761-2794474 \\n\\uf0b7 Dr Neelam Dayal \\nEmail:neelam.dayal@iiitdmj.ac.in \\nContact: 0761-2794235 \\n \\n \\nHostels \\nIIITDM Jabalpur is a fully residential Institute. All the students are required to be reside in the \\ncampus. The hostel environment and available amenities play a very important role in the overall \\ndevelopment of student during his/ her stay at the campus. Presently Institute having total six \\nhostels VASISHTHA HOSTEL (Formerly Hall-I) \"single seater\", ARYABHATTA HOSTEL (Formerly Hall-\\n3) “triple seater\" and VIVEKANANDA HOSTEL (Formerly Hall-4) “triple seater\" PANINI HOSTEL \"single \\nseater\" MAA SARASWATI GIRLS HOSTEL “triple & single seater \"single seater\", and NAGARJUNA \\nHOSTEL (For PG Married students). In addition, some flats of REWA residency are also available for \\nthe married students. The central mess facility is also available to the students which is managed by \\nmess wardens and student mess committee. For the overall development of students are encouraged \\nto participate in various activities such as sports, cultural, science and technology. Each hostel has a \\nHall Executive Committee (HEC), where students members are elected by hall residents and it is \\nheaded by the respective hall Warden. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 28}, page_content='Hostel Administration \\nDr . Mukesh Kumar Roy Faculty-in-Charge (Student Affairs) \\nDr . Sujoy Mukherjee Chief Warden \\nName of Hostels Name of Hostel Warden \\nVasishtha Hostel (HALL-I) Dr . Ponappa.K \\nAryabhatta Hostel (HALL-III) Dr . Avinash Chandra Pandey \\nVivekananda Hostel (HALL-IV) Dr . Pankaj Sharma \\nNagarjuna Hostel (PG Married) Dr . Ponappa.K \\nPanini Hostel (PG Unmarried) Dr . Tushar Chaudhary \\nMaa Saraswati Girls Hostel Dr . Manu Srivastava (Warden) \\nDr . Neelam Dayal (Associate Warden) \\n \\n \\n \\n \\nAmenities \\n\\uf0b7 Barber Shop & Laundry Shop Vasishtha Hostel (Hall-I) \\n\\uf0b7 One cafeteria(2:00P .M to 12:00A.M) \\n\\uf0b7 Stationary shop \\n\\uf0b7 Wi-Fi internet facility \\n\\uf0b7 Guest Room \\n\\uf0b7 Printing and photocopy facility \\n\\uf0b7 24*7 ambulance facility \\n\\uf0b7 Gymnasium \\n\\uf0b7 Reading room(all most all news papers,employment news and magzines) \\n\\uf0b7 Stadium for outdoor games \\n\\uf0b7 Indoor games like carom,T .T .tabeles etc. \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 29}, page_content='Primary Health Centre \\nDoctors available for consultation: \\n \\n \\n\\uf0b7 Dr . G S Sandhu (MD) Medical Specialist , \\n\\uf0b7 Dr . Arvind Nath Gupta (MD) Pead. \\n\\uf0b7 Dr . Ranjana Gupta, Gyane. \\n\\uf0b7 Dr . Sabiha Khan, ENT \\n\\uf0b7 Dr . Hemant Singh, Pead. \\n\\uf0b7 Dr . Abhay Shrivastava, Ortho \\n\\uf0b7 Dr . Jogendri Pathariya, Counsellor \\n \\nCentral Mess \\n \\n \\nPDPM IIITDM is a residential institute and it is compulsory for all students to stay inside-campus. \\nThe Central mess offers a convenient dining solution right on campus. The Central mess typically \\nprovides a variety of nutritious and well-balanced meal options, ensuring that students have access \\nto nutritious food that supports their health and well-being. The Central mess is managed by \\nexperienced food service providers who adhere to strict hygiene and safety standards, ensuring \\nthat students receive high-quality meals in a clean and well-maintained environment. \\n \\n \\nThere are 2 mess \\nCentral mess 1 which is Vegeterian \\nCentral mess 2 which is Non- Vegeterian \\n \\nMess Facilities \\nStudents can avail mess facilities in Central Mess 1 (for vegetarian food) Central Mess 2 (for non-\\nvegetarian food) either by: \\n\\uf0b7 Registering as a student and paying the Mess fee (approx Rs 104 per day) \\n\\uf0b7 Paying Standard Mess Rates \\no Breakfast: Rs 35 \\no Lunch: Rs 50 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 30}, page_content='o Dinner: Rs 50 \\nMess Timings 🕒 \\nStudents can avail mess facilities at the following times: \\n\\uf0b7 Breakfast timing: 7:30 AM to 9:30 A.M, Monday to Friday, and 8 AM to 10 A.M on \\nWeekends \\n\\uf0b7 Lunch Timing: 12:00 PM to 2:30 P .M, Monday to Friday, and 12:30 to 3:00 P .M on Weekends \\n\\uf0b7 Dinner Timing: 7:30 to 9:30 P .M \\n \\n \\nComputer Center \\n \\n \\n \\nWe provide professional services, promote and assist the use of new computing technology... \\nCC Home \\nThe Computer Centre is solely responsible for keeping the Electronic Communication & \\nComputation related facilities available to each and every member of IIITDM Jabalpur . The services \\nprovided by the Computer Centre includes: \\n\\uf0b7 Installation & Maintenance of Servers for: \\no Internet Access. \\no E-mailing Facilities. \\no Computation Facilities. \\n\\uf0b7 Management & upkeep of the Official IIITDM Jabalpur & Intranet Web Page. \\n\\uf0b7 Management of the institute telephone exchange. \\n\\uf0b7 Management of the Centralized Computer Lab accessible to all the students of the institute \\nas well as to other local researchers/students. \\n\\uf0b7 Maintaining the huge campus network, consisting about 2,000 nodes. \\n\\uf0b7 Providing facilities to the Students who come from various academic institutes from all over \\nthe world for their Short-term Courses, Project Work, Summer Training etc. \\n\\uf0b7 Provides & maintains the PCs of the Faculty & Staff members. \\nThe Computer Centre also manages the IIITDMJ LAN, IIITDMJ Telephone Exchange and provide \\nsupport to the users. The campus LAN has been extended to all the hostels. The Network \\nconnectivity to the residences have been extended using ADSL technology. New hardware and \\nsoftware are procured on a regular basis so as to provide a state of the art computing facility to the '),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 31}, page_content=\"IIITDM Jabalpur family. The resource of the centre is also availed by students/researchers of other \\ninstitutions in and around Jabalpur . \\n \\nThere are facilities of IIITDMJ institute \\nPrimary Health Centre \\nComputer Centre \\nLibrary \\nBank & ATM \\nShops in Campus \\n \\n \\nIITDMJ features \\nTake a deep insight \\nStudent Campus Life \\nIIITDMJ emphasizes on several extra-curricular activities in addition to its rigorous academic \\nprogramme. Institute is in the growing stage, Football ground, Volleyball court, basketball court and \\ntennis court at the institute premises. IIITDMJ students have formed various clubs under Students \\nGymkhana, which organises various cultural, sports and activities. \\n \\nInstitute Innovation Council (IIC) \\nAn Institute Innovation Council (IIC) has been established at IITDM Jabalpur as per the norms and \\ndirectives of Ministry of Human Resource Development (MHRD) Innovation Cell (MIC). Ministry of \\nHuman Resource Development, Govt. of India... \\n \\nDEW 2022 \\nDeW is an interdisciplinary design workshop organized by IIITDM Jabalpur in collaboration with the \\nMinistry of Foreign Affairs, Japan since 2010. \\n \\n \\nElectronics and ICT Academy \\nDepartment of Electronics and Information Technology, Government of India has instituted four \\nElectronics and ICT Academies with one academy at IIITDM Jabalpur with the primary objective \\npreparing manpower for two important missions - 'Digital India' and 'Make in India'. \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 32}, page_content=\"Startup India \\nThe Government of India has announced 'Startup India' initiative for creating a conducive \\nenvironment for startups in India. The various Ministries of the Government of India have initiated a \\nnumber of activities for the purpose. \\n \\nResearch \\nIIITDM Jabalpur was established to foster the research and development activities in the areas of: IT \\nenabled design and manufacturing, and Design of IT systems to meet the growing demands of the \\nIndian industries. \\n \\n \\n \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\me.pdf', 'page': 0}, page_content='I am prince deepak siddharth pursing btech in department Computer Science and Enginnering from \\nIIITDMJ . I made this IIITDMJ chat assistant app by using rag. Director name of IIITDMJ is Prof. \\nBhartendu k Singh. \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 0}, page_content=' \\n \\nPDPM Indian Institute of Information Technology, \\nDesign and Manufacturing, Jabalpur \\n \\n \\n \\n \\n \\n \\nDoctor of Philosophy \\nProgram Rules and Regulations \\n(Ph.D. Manual) \\n \\n \\n \\n \\n \\n \\nJuly, 2022 \\n \\n \\n \\n'),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 1}, page_content=' \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 2}, page_content=' \\n \\nContents \\nPreamble: ...................................................................................................................................................... 1 \\n1. Admissions: ....................................................................................................................................... 1 \\n1.1 Eligibility for Admissions ........................................................................................................... 1 \\n1.2 Admission Categories ................................................................................................................ 2 \\n1.3 Admission Procedure: ............................................................................................................... 5 \\n1.4 Admission to Foreign Students: ................................................................................................ 5 \\n1.5 Direct Admission to Ph.D. after B.Tech. .................................................................................... 5 \\n1.6 Other General Information for admission ................................................................................ 6 \\n1.7 Conversion of Category ............................................................................................................. 6 \\n2. Residence requirement ..................................................................................................................... 7 \\n3. Academic session .............................................................................................................................. 7 \\n4. Registration and Physical Reporting ................................................................................................. 7 \\n5. Course work ...................................................................................................................................... 8 \\n6. Attendance during Course Work ...................................................................................................... 8 \\n7. Cancellation of semester registration ............................................................................................... 9 \\n8. Minimum credits requirements for the award of Ph.D. Degree:...................................................... 9 \\n9. Appointment of Supervisor and Research Progress Committee ...................................................... 9 \\n10. Joint supervision ......................................................................................................................... 10 \\n11. Comprehensive examination: ..................................................................................................... 11 \\n12. Thesis Credits .............................................................................................................................. 12 \\n13. Progress Seminar ........................................................................................................................ 12 \\n14. Inadequate Academic Performance and Termination of Programme ....................................... 13 \\n15. Academic Leaves ......................................................................................................................... 14 \\n15.1 For the PS/ FA Category .......................................................................................................... 14 \\n15.2 For Other Categories: .............................................................................................................. 14 \\n16. Permission to Visit for Research at Other Institution ................................................................. 15 \\n17. Open Seminar ............................................................................................................................. 16 \\n18. Thesis Submission for evaluation ................................................................................................ 16 \\n19. Thesis Evaluation......................................................................................................................... 17 \\n20. Thesis Defense ............................................................................................................................ 18 '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 3}, page_content=' \\n \\n21. Final Thesis Submission ............................................................................................................... 18 \\n22. Minimum Academic Requirements for the award of the Ph.D. degree ..................................... 19 \\n23. Minimum and Maximum Duration of a Programme .................................................................. 19 \\n24. Financial Assistance from the Institute Funds ............................................................................ 19 \\n25. Discipline ..................................................................................................................................... 20 \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 4}, page_content='1 \\n \\nPreamble: \\nThis document summarizes the rules and regulations for the award of the Doctor of Philosophy \\n(Ph.D.) degree of the PDPM Indian Institute of Information Technology, Design and \\nManufacturing, Jabalpur. For the award of the Ph.D. degree it is mandatory that the candidate: \\na. Files at least one patent/ design registration/ IPR out of the Ph.D. work and publishes at \\nleast one research paper in the SCI/SCIE/SSCI/SSCI/AHCI indexed journals or \\nb. Publishes two research papers in the SCI/SCIE/SSCI/SSCI/AHCI indexed journals \\n1. Admissions: \\nAdmissions to the Ph.D. program will be carried out based on the recommendation of the \\nselection committee, Convener DPGC and approved by the Dean Academic. The selection \\ncommittee will be constituted by the respective Head of the Discipline. \\n \\nAdmissions to the Ph.D. program will be offered under the following categories: \\nI. FULL TIME with Institute Financial Support termed as Institute Assistantship (IA) \\n \\nII. FULL TIME without Institute Financial Support \\na. Govt. / Semi Govt. Fellowship Award (FA) (MeitY, CSIR, UGC, DAE, DST, DBT, \\nNBHM, etc.) \\nb. Sponsored Candidate (SW) \\nc. Quality Improvement Program (QIP) \\nAdmission to foreign students will be offered under this category only. \\n \\nIII. PART TIME \\ni. Institute Staff (IS), for Institute Staff of IIITDM Jabalpur \\nii. Project Staff (PS), for Project Staff of IIITDM Jabalpur \\niii. External candidates, sponsored by recognized R&D organizations/ industry (EX) \\niv. Special Ph.D. programme for Working Professionals (SWP) \\n1.1 Eligibility for Admissions \\na) A minimum of 60 percent marks OR a CPI/CGPA of 6.0 (on the s cale of 10.00) shall be \\nrequired at the Master’s level qualifying examination (M.Tech./ M.E. /M.Des. /MCA) as \\nthe specified minimum for admission in a Ph.D. programme for the concerned disciplines. \\nPlease see the table below for the eligibility criteria for each discipline. \\n \\nPh.D. Program (Discipline) Minimum Qualifications* \\nPh.D. in Computer Science and \\nEngineering \\nM.E./M.Tech. with B.E./ \\nB.Tech./MCA/ M.Sc.in any \\ndiscipline/branch '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 5}, page_content='2 \\n \\nPh.D. in Electronics and \\nCommunication Engineering \\nM.E./M.Tech. with B.E./ \\nB.Tech./MCA/ M.Sc.in any \\ndiscipline/branch \\nPh.D. in Mechanical Engineering M.E./M.Tech. with B.E./ \\nB.Tech./MCA/ M.Sc.in any \\ndiscipline/branch \\nPh.D. in Design Master’s degree in Design \\n(M.Des.), Technology (M.Tech.) \\nand Architecture (M.Arch.), \\nMaster’s Degree(MSc) in \\nPhysiology (Specialization in \\nErgonomics) /Applied \\nPsychology, Cognitive Science, \\nMaster of Fine Arts(MFA) and \\nMaster of Applied Arts \\nPh.D. in Physics and Mathematics \\n(Natural Science Discipline) \\nM.Sc./M.Phil./M.Tech./M.E. in any \\ndiscipline/ branch \\nPh.D. in English (Liberal Arts \\nDiscipline) \\nPost Graduate degree in any discipline, viz; \\nArts, Science, Management, Commerce, \\nEngineering, Law, Medical Sciences \\nPh.D. in Smart Manufacturing \\n(Mechanical Engineering Discipline) \\nM.E./M.Tech. with B.E./ \\nB.Tech./MCA/ M.Sc. in any \\ndiscipline/branch \\n*Minimum duration for such masters’ programme shall be two years or the candidate \\n must have completed Integrated Master’s Degree or Dual Degree program \\n \\nb) Meritorious students having B.E./B.Tech. degree can be considered for direct admission \\nin Ph.D. program provided such student must have qualified GATE in corresponding \\ndiscipline in which he has sought admission. (For details see Section 1.4) \\n1.2 Admission Categories \\nI (a) Institute Assistantship (IA) \\nCandidates having qualified GATE/ CEED/ CSIR/UGC-JRF/NET score in the last 10 \\nyears will be admitted under this category followed by interview . Non- GATE/CEED/ \\nCSIR/UGC-JRF/NET students can also apply for PhD programme in this category , \\nhowever, they have to clear a national level written examination to be conducted by the \\nInstitute followed by an Interview. The students admitted under this category are \\nentitled to financial support (Teaching Assistantship), as per the Ministry of Education \\n(MoE) norms. Further, the student is required to assist 8 hours of work per week assigned \\nby the Discipline. The r equirements of GATE/CEED/ CSIR/UGC-JRF/NET for this '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 6}, page_content='3 \\n \\ncategory is given below. \\n \\n \\nPh.D. Program (Discipline) Requirement for Institute Assistant category \\nPh.D. in Computer Science and \\nEngineering \\nQualified GATE in Computer Science and \\nInformation Technology (CS) or CSIR/UGC -\\nJRF/NET in Computer Science or information \\nTechnology \\nPh.D. in Electronics and \\nCommunication Engineering \\nQualified GATE in Electrical Engineering (EE) or \\nElectronics and Communication Engineering (EC) or \\nInstrumentation (IN) or Computer Science and \\nInformation Technology or \\nPhysics \\nPh.D. in Mechanical \\nEngineering \\nQualified GATE in Mechanical Engineering (ME) or \\nProduction and Industrial Engineering (PI) or \\nAeronautical Engineering (AE) \\nPh.D. in Design Qualified GATE/CEED in Design \\nPh.D. in Physics and \\nMathematics (Natural Science \\nDiscipline) \\nQualified GATE or CSIR/UGC-JRF/NET \\nPh.D. in English (Liberal Arts \\nDiscipline) \\n \\nQualified GATE or CSIR/UGC-JRF/NET in English \\nPh.D. in Smart Manufacturing \\n(Mechanical Engineering \\nDiscipline) \\n \\nQualified GATE in Computer Science and \\nInformation Technology (CS) or Electrical \\nEngineering (EE) or Electronics and Communication \\nEngineering (EC) or Instrumentation (IN) or \\nMechanical Engineering (ME) or Production and \\nIndustrial Engineering (PI) or Engineering Sciences \\n(XE) \\nII (a) Fellowship Award (FA) \\nThe candidates will be admitt ed to the category if they have f inancial support from the \\nGovt./ Semi Govt. agencies such as CSIR, UGC, DAE, DST, DBT, NBHM, MeitY, \\nDigital India, ARDB, AERB, DAE, etc. The candidates under this category may be \\nassigned a teaching assignment per week by t he Discipline, as per the guidelines of the \\nconcerned fellowship agency. \\nII (b) Sponsored Candidate (SW) '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 7}, page_content='4 \\n \\nThese candidates are sponsored by the Govt. recognized R&D organizations/ industries \\nlisted with NSE or SEBI for doing research work in the Institute. Candidates are expected \\nto be relieved for full time research work at the Institute for a minimum period of three \\nyears. Students admitted under the category will not receive any financial support from \\nthe Institute. \\nII (c) Quality Improvement Program (QIP) \\nThese candidates are sponsored by the ir Institutes for doing research work and admitted \\nthrough the QIP scheme of the AICTE . Candidates are expected to be relieved for full \\ntime research work at the Institute for a minimum period of three years. Students admitted \\nunder the category will not receive any financial support from the Institute. \\nIII (a) Institute Staff (IS) \\nThis category is only for the persons employed as Institute Staff at IIITDM Jabalpur and \\nthe candidate should have worked in the Institute for at least 2 years on a regular position \\nat the time of admission. \\nIII (b) Project Staff (PS) \\nThis category refers to the candidates working as JRF/SRF in a sponsored project \\nundertaken by the faculty of the Institute. \\na. All JRF and SRF appointed in the sponsored research projects having minimum \\nfunding for two years may register for the Ph.D. under the supervision of the PI / co-\\nPI of the project. \\nb. A duly constituted committee as per the norms of the project funding agency must \\nselect them. \\nc. Such candidates may be converted to regular Ph .D. students (IA category) based on \\nthe performance at the end of the project duration in case they are \\nGATE/CEED/JRF/NET qualified. The condition for a maximum duration (including \\nthe JRF/SRF period ) as per MoE guidelines will be applicable for giving \\nassistantship/fellowship. After such conversion, they need to perform TA work \\nassigned by the discipline. \\nor \\nSuch candidates may be converted to regular Ph.D. students (self-sponsored category) \\nbased on the performance at the end of the project duration in case they do not qualify \\nGATE/CEED/JRF/NET and will not be eligible for getting assistantship/fellowship \\nd. Such candidates shall perform the tasks assigned by the PI of the project during the \\nproject duration. \\nIII (c) External (EX) \\nThis category refers to a candidate employed in a Govt. recognized R&D organization/ \\nindustry listed with SEBI or NSE/BSE and having adequate research facilities. The \\nChairperson Senate shall approve such organizations. The person employed in defense or '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 8}, page_content='5 \\n \\nrailway establishment or a company/industry having turnover of Rs. 100 crores with \\nrelevant research facility or more , serving at an executive position and have 5 years or \\nmore experience in a company is eligible for admission under this category. \\na. Applications of such candidates must be properly forwarded by their parent organizations \\nand the parent organization must submit No Objection Certificate (NOC) to the candidate \\nfor carrying out the research work. \\nb. Such candidates are required to complete the course work and pass the comprehensive \\nexamination. \\nc. Such candidates will be recommended for admission by the discipline committee of the \\nconcerned discipline for the Ph.D. admission. \\nd. For such candidates ’ requirement of residence in the Institute hostel will be waived. \\nFurther, they will be given a waiver for teaching pedagogy course / teaching credits but \\nthey need to fulfill all other requirements of Ph.D. programme. \\ne. The candidates will have a supervisor from the Institute and one external co -supervisor \\nfrom the concerned establishment. The external co -supervisor must be a Ph,D. degree \\nholder or have relevant research experience of 10 years or more. \\nThe research work leading to the Ph.D. degree by such students may be carried out largely \\nin the parent organization of the candidate \\nThe Institute shall not be providing any assistantship/ fellowship to such a student. \\n1.3 Admission Procedure: \\nThe Institute/ discipline calls the application for the PhD admission through regular and rolling \\nadvertisement throughout the year. The candidates will be shortlisted by the admission \\ncommittee and will be selected by the admission committee through interview. The discipline \\nmay conduct written test for further shortlisting. \\n1.4 Admission to Foreign Students: \\nThe Institute will be admitting students of the foreign nations through \\na. Study in India Program \\nb. DASA scheme \\nc. Institute level counselling \\n \\nFor such candidates he/she should have cleared T OEFL/ IELTS/ Duolingo/ GRE . The \\ncandidates may be admitted at any time during the year. \\n \\nThe Institute shall not be providing any assistantship/ fellowship to such a student. \\n1.5 Direct Admission to Ph.D. after B.Tech. \\nCandidates who are currently in their final year in any of the Centrally Funded Technical \\nInstitutions (CFTIs) will only be eligible for admission under this category. To be eligible for \\nadmission under this category, a candidate is required to have a minimum CPI of at least 8.0 \\nor equivalent (on a scale of 10) at the end of the undergraduate programme under OPEN and '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 9}, page_content='6 \\n \\nOBC or EWS categorie s. If the result of the eighth semester is not declared at the time of \\nselection, their admission will be provisional subject to maintaining the required CPI under \\nthis category at the end of the programme. For SC/ST category students, the minimum CPI \\nrequirement will be relaxed to 7.0. A qualified and valid JRF/NET/ GATE/ CEED score is \\nmandatory in this case. They shall be admitted through the same regular admission process \\nas specified for the regular Ph.D. students. Such students will be considered under the Institute \\nAssistantship category. \\n1.6 Other General Information for admission \\na) Relaxation for reserved category in the eligibility requirements shall be as per Govt. of \\nIndia norms. SC/ST candidates will be given relaxation of 1 point CGPA/CPI or 10% at \\nall stages of selection process. \\nb) The institute reserves the right to keep the seats vacant if suitable Ph.D. candidates are \\nnot available in any of the categories. \\n1.7 Conversion of Category \\nA student may apply for conversion of categories (among IA, FA, SW, EX) through RPC, as \\nper the guidelines given below. The Chairperson Senate on the recommendation of the DPGC \\nand the Dean Academic may give approval for such conversion . The guidelines for \\nconversion are as under \\ni) A Ph .D. student can convert the category after comprehensive examination. The student \\nshould fulfill all the requirements of the category where he wants to convert. No conversion \\nwill be made to Institute Assistantship from any other category except for the proje ct staff \\n(PS) category. \\nii) Ph.D. External- Self Supported \\nPh.D. students in the regular category who got a job offer can get relief from the programme \\nas a special case while keeping their registration alive on payment of required fees every \\nsemester if they have completed the following requirements \\n● Minimum residential requirements \\n● Required Course Work \\n● Comprehensive Examination \\n● First Progress seminar with proper direction of research \\nThe candidate should have applied for the job in knowledge of Ph.D. supervisor(s) \\n● The candidate must submit a copy of the offer letter from his future employer at the time \\nof application. \\n● The student must submit a no objection letter to continue the PhD p rogramme from his \\nfuture employer within one month of joining the job. \\n● The student must appear for a progress seminar before the Evaluation Board (RPC+ one \\nmember of DPGC) in each semester. \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 10}, page_content='7 \\n \\n2. Residence requirement \\n2.1 The Institute’s programmes are essentially residential ones and unless otherwise \\nexempted/ permitted by Dean Students, every student shall be required to reside in, and \\nbe a boarder of a Hall of residence, to which he/she is assigned. \\n2.2 A student registered under sponsored and fellowship award category shall be required to \\nstay for the required duration as specified by the Institute and the sponsoring organization \\nmust specifically undertake to relieve him/her for the said period. \\n \\n2.3 Students registered under the EX category will not be required to stay in campus but they \\nneed to attend all the regular classes, labs, seminars and exams as per the need of their \\nprogramme. \\n3. Academic session \\n3.1 The academic session of the Institute normally begins in the first week of August every \\nyear and ends at the end of July. For PhD students it is divided into two parts: Two regular \\nSemesters: Last week of July/ 1st week of August (as per academic calendar) to December \\nand from January to July. The mid-sem recess and summer vacations are not applicable to \\nPh.D. students. \\n3.2 The exact dates of all the important events, such as orientation, registration, late \\nregistration, the commencement of classes, adding and dropping of courses, submission of \\ndocuments, examinations, submissions of grades, conversion of I-grades, vacations, mid-\\nsemester recess, etc., during the Academic Session shall be specified in the Academic \\nCalendar of the Institute duly approved by the Senate. The academic calendar is normally \\nbrought out before the beginning of a calendar year. \\n4. Registration and Physical Reporting \\na) A Ph.D. student needs to register in all the semesters, except during the semester break or \\nsemester leave, till the submission of a Ph.D. thesis for evaluation on the specified date of \\nphysical reporting by paying the Institute Fees. \\nb) A student needs to pre -register for the next semester courses and seminar s on the dates \\nspecified in the academic calendar of the Institute every semester except the semester \\nbreak. \\nc) It is mandatory for all students to physically report on the first day of reporting as laid in \\nthe academic calendar. If for some valid reason a student fails to report, she/ he needs to \\nregister late after paying late registration fees. However, if a student seeks prior permission \\nto report late on valid grounds, the Dean Academic may allow her/ him to register late \\nwithout paying the late registration fees till the date of late registration as mentioned in \\nthe academic calendar. \\nd) Registration in Audit course: \\ni. The Institute encourages students towards extra learning by auditing for an additional \\nnumber of courses. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 11}, page_content='8 \\n \\nii. Adding and dropping of an audit course is permitted only up to the last date of \\nadding/dropping of courses, as given in the Institute’s Academic Calendar. \\niii. Grades when obtained B or above for courses registered for as audit courses shall be \\ndisplayed on the Grade Sheet of the student for the semester. Grades, when below B \\nwill not be displayed on the grade sheet provided the student does not get an “F” grade \\nin the course. However, the grades obtained in the courses registered as audit courses \\nshall not be counted for the calculation of the Semester Performance Index (SPI) or the \\nCumulative Performance Index (CPI). \\n5. Course work: \\na) The student needs to complete a minimum of three courses of advanced level as a \\nmandatory requirement in their first semester. Out of the three courses, one course must \\nbe on the Research Methodology. The other two courses will be from the research field \\nof Ph.D. as advised by the supervisor/DPGC. In case a student has already complet ed a \\ncourse on research methodology during his/her Master’s program, they will be given \\nrelaxation from the course on research methodology but have to opt for some other \\ncourse. \\nb) In addition, every Ph.D. student has to successfully complete 6 hours of teaching work \\n(3 hours in each semester on a topic assigned by the Instructor) during the whole period \\nof Ph.D. The course will be assigned by the Head of the discipline from among the list \\nof courses proposed by the student. Normally, it is expected to be a basic course in the \\ndiscipline of the PhD student. \\nc) The Senate allow s the students to opt for advanced level courses from Swayam or \\nCoursera on the advice of the Supervisor in case a discipline is unable to float the courses. \\nThe approval for opting for such courses will be given by the Chairperson Senate on the \\nrecommendation of the DPGC and Dean Academic. \\nd) The minimum required CPI from the course work is 7.0. In case a student is not able to \\nachieve a CPI of 7.0 his academic program will be automatically dropped \\ne) The courses of the Ph.D. will be graded on a 10 point scale and will include A+, A, B+, \\nB, C+, C, D+, D and F. \\nf) The seminar, thesis credit and teaching pedagogy course will be evaluated as “S” \\n(satisfactory) or “X” (unsatisfactory) grades. \\ng) Ph.D. students will be permitted to register in courses on foreign language communication \\nskills such as Japanese, German or French, as per the availability of foreign language \\nteachers on an audit basis. \\n6. Attendance during Course Work \\na) Minimum 75% attendance is required in courses. \\nb) A course of a student will be dropped if the student fails to secure a minimum of 75% of \\nattendance in the total classes / labs held in that course. The student will be marked “CD” \\ngrade in the grade sheet in such a case. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 12}, page_content='9 \\n \\nc) In special circumstances, relaxation may be permitted to the student in attendance, up to \\n60 % by the Chairperson Senate on medical or other valid grounds. The Institute doctor \\nmust approve the medical certificate produced by the student. \\nd) The course instructor will maintain the attendance record regularly and inform the \\nstudents who fail to satisfy the criterion of 75% of attendance each month through the \\ncourse web page / general (written) notice. \\n \\n \\n7. Cancellation of semester registration \\nAbsence for a period of four or more weeks at a stretch or in total during a semester shall result \\nin automatic cancellation of the registration of a student from all the courses in that semester. \\n8. Minimum credits requirements for the award of Ph.D. Degree: \\n Ph.D. [after Masters’ \\nprogramme] \\nPh.D. [after B.Tech./ \\nB.E./ B.Des.] or \\nIntegrated PhD \\nMinimum total number of credits 51 66 \\nMinimum number of credits through the \\ncourse work including research \\nmethodology \\n09 24 \\nMinimum Thesis Credit 36 36 \\nMinimum number of credits through \\nProgress Seminar after the \\ncomprehensive examination \\n04 04 \\nTeaching Credit 02 02 \\n9. Appointment of Supervisor and Research Progress Committee \\na) There will be a Discipline Post Graduate Committee (DPGC) for each discipline. DPGC \\nwill consist of the Head of the discipline as the Convener and four senior faculty members \\nof the discipline. The Head of the concerned discipline will constitute the DPGC. \\nb) The DPGC will be the administrati ve unit at the discipline level and will monitor all \\nPh.D. related activities of the discipline. The role of the DPGC will be: \\ni. The DPGC will be guiding a Ph.D. student in deciding the courses and supervisor(s), \\nafter she/he takes admission in the Institute. \\nii. DPGC will also be monitoring the progress of a student until she/ he decides on a \\nsupervisor. \\niii. A Ph.D. student is required to propose her/his supervisor from the discipline in the \\nfirst semester of his program on the advice of the DPGC. Normally, preference will \\nbe given to the choice of the student in the selection of supervisor within the \\nconstraints of the Institute. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 13}, page_content=\"10 \\n \\niv. In case a thesis is marked as major revision by the external examiner. Convener DPGC \\nwill go through the response submitted and may suggest changes, if any. In case \\nConvener DPGC is satisfied it will be recommend for the defense. \\nc) In the case of doctoral students, Supervisor(s) will the propose members of the RPC \\n(Research Progress Committee). The Convener DPGC will forward the application for \\nthe registration of supervisor(s) and RPC to the Dean Academic, who will be the \\napproving authority for the same. \\nd) Convener DPGC/ Dean Academic may also add one or two members to the RPC, if \\nrequired. The RPC will consist of Supervisor(s), at least two faculty members from the \\ndiscipline in the related field of research and one faculty member from another discipline. \\ne) During the period in which the student has not decided the supervisor, Convener DPGC \\nor his nominee will be forwarding all a pplications of the student related to leave, \\nassistantship or other such matters. \\nf) A student may add another supervisor. The other supervisor may be from any discipline \\nof the Institute or any Institute/ industry within India or outside India. For adding the \\nother supervisor, the student will submit a request to the Dean academic through her/his \\nsupervisor. Such applications will be recommended by the DPGC to the Dean Academic \\nfor final approval. \\ng) A student shall not normally have more than two supervisors from the Institute at any \\ngiven time. \\nh) If a student's supervisor proceeds on long l eave or resigns/retires or otherwise ceases to \\nbe a faculty member of the institute, the supervisor has the responsibility to appoint a co-\\nsupervisor or a supervisor in consultation with the student. Nevertheless, in such a case, \\nthe supervisor is required to get approval from the Dean Academic for the change. In this \\ncase the entire responsibility of the student will lie with the co-supervisor or the new \\nsupervisor, as the case may be. \\ni) In exceptional cases, a Ph.D. student may be permitted to change super visor/co-\\nsupervisor on the recommendation of DPGC after obtaining the consent of \\na) the present supervisor/co-supervisor and \\nb) the proposed supervisor/co-supervisor. \\n10. Joint supervision \\nThe Institute encourages joint supervision of Ph .D. students. Under joint supervision, \\nsupervisors from both institutions (IIITDM Jabalpur and any other Institute) will jointly guide \\nthe Ph.D. student to obtain the Ph.D. degree from PDPM IIITDM Jabalpur by satisfying the \\nrequirements and quality standards as per the rules and regulations of the Institute. \\n \\nFollowing are the requirements for the joint supervision: \\na. A Ph.D. student may interact and work with an approved external Supervisor in a \\ncollaborating organization. Students shall require permission from the Dean \\nAcademic of PDPM IITDM Jabalpur. \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 14}, page_content='11 \\n \\nb. Such students shall be required to register in each semester as per the registration \\nprocedure of IIITDM Jabalpur. \\nc. The students are expected to follow the rules of the collaborating institut ion in case \\nthey visit the collaborating Institute but shall continue to be governed by the rules and \\nregulations for the award of Ph.D. degree of the IIITDM Jabalpur. \\nd. The student and his/her supervisor will remain in continuous touch with the external \\nsupervisor. \\ne. Such students are permitted to register as non -degree/visiting students in an Institute \\nother than IIITDM Jabalpur and may transf er the credit. Transfer of credits will be \\ndecided on a case-by-case basis by the Chairperson Senate. \\nf. Financial Support - The student will be eligible for fellowship support from the \\nIIITDM Jabalpur (the affiliating Institute). Further any travel by the st udent to the \\nother Institute (from where the other advisor is affiliated) and all related expenditure \\nhave to be borne by the student. \\ng. When working with the supervisor from outside the Institute, the IP rights will be as \\ndecided between the supervisor(s) (internal and external), and the sponsoring agency, \\nif any. Any such arrangement shall be done with the concurrence of the Director of \\nPDPM IIITDM Jabalpur, and shall not interfere with the ability of the student to write \\nhis/her thesis and publish the results of the work. \\n \\n10.1 Role of the Joint Supervisor: \\na. Monitoring and evaluation of the progress of the students in collaboration with \\nsupervisor and RPC committee \\nb. Guiding the student for her/his research work. Advising her/him so that she/he can \\ncomplete the research work. \\nc. In case need be and if a facility is available at Joint Supervisor Institute, the joint \\nsupervisor will help the student in conducting the experiments. \\nd. Encourage students for publication of the work, IPR filing and thesis writing. \\n \\n11. Comprehensive examination: \\na) Students registered in the Doctoral programme must pass a Comprehensive Examination \\ndesigned to test the overall comprehension of the student in subjects relevant to his/her \\narea of research. A student can appear in the Comprehensive Examination only after \\nhe/she has completed the minimum course requirements and satisfied the requirement of \\nthe minimum specified CPI. \\nb) Students must appear for the comprehensive examination within 4 months after the \\ncompletion of the course work. Any deviation from this will require special approval from \\nthe Chairperson Senate on the recommendation of the Convener DPGC and the Dean \\nAcademic. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 15}, page_content='12 \\n \\nc) The mode of Comprehensive Examination will be o ral and focused on the fundamentals \\nrelated to the research area of the student and plan of research. \\nd) The Comprehensive Examination Board of a Doctoral student shall be the same as his/her \\nRPC. The thesis supervisor of the student shall be the Convener of the Comprehensive \\nExamination Board. The oral examination will be conducted in open mode. \\ne) The dates for oral examination will be decided by the committee and will be intim ated to \\nthe academic office through Convener DPGC. Any changes in the Comprehensive \\nExamination Board will require approval from Chairperson Senate through the Convener \\nDPGC and the Dean Academic. \\nf) A student shall be considered to have passed the Comprehens ive Examination on the \\nrecommendation of the Comprehensive Examination Board and approval of the Dean \\nAcademic. \\ng) The convener of the Comprehensive Examination Board shall be responsible to send the \\nreport of the Comprehensive Examination to the Dean Academic for approval through the \\nConvener DPGC. The comprehensive report must include RPC member s’ \\nrecommendations on the area of research, fundamentals of the student in the area of \\nresearch and related areas, problem identification, plan of the research and milestones to \\nbe completed, and suggestions for improvement. \\nh) Any dispute in the opinion of the Comprehensive Examination Board shall be put up \\nbefore the Chairperson Senate throu gh the Convener DPGC and Dean Academic. The \\ndecision of the Chairperson Senate will be final and will be binding to all. \\ni) If a student fails in the Comprehensive Examination in his/her first attempt, the same \\nBoard that was constituted earlier unless otherwise changed by the Dean Academic on the \\nrecommendation of the DPGC shall conduct a second Comprehensive Examination. \\nj) A student shall be recommended for termination if he/she fails to pass the Comprehensive \\nExamination even after two attempts. All such cases shall be brought to the notice of the \\nSenate. \\n12. Thesis Credits \\na) In every semester a student needs to register for the thesis credits. The thesis credit of 12 \\ncredits will be divided in four blocks in a semester. Each block will be equivalent to 3 \\ncredits. \\nb) The thesis credit will be evaluated by the supervisor as “Satisfactory (S)” or unsatisfactory \\n(X)”. \\nc) In case a student register for a course in a semester equivalent block will be reduced from \\nthe thesis credit for example one course of 3 credits with 9 credits of thesis credit. \\n13. Progress Seminar \\nd) Progress seminar carries 2 credits each and is required to be registered by all the Doctoral \\nstudents in each semester of their programmes before the successful completion of the \\nopen seminar. '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 16}, page_content='13 \\n \\ne) The progress seminar will be evaluated by the RPC committee as “Satisfactory (S )” or \\nunsatisfactory (X)”. \\n \\n \\n14. Inadequate Academic Performance and Termination of Programme \\nA student who is not able to get the requisite CPI of 7.0 or got an “X” grade in the progress \\nseminar is considered a deficient student: \\na) A deficient student may be allowed to continue in the programme, by issuing a \\nwarning, if \\ni) Her/ his CPI at the end of the first semester is below 7.0 but more than 6.5. Such \\nstudent has to fulfill the requirement of minimum CPI of 7.0 at the end of II \\nsemester \\nOR \\nii) She/ he gets an “X” grade in the progress seminar. \\n \\nb) The programme of a Ph.D. student will be terminated, if \\ni) Her/ his CPI at the end of the first semester is below 6.5 \\nOR \\nii) Her/ his CPI at the end of the second semester is below 7.0 \\nOR \\niii) the RPC of the student recommends “X” grades in the progress seminar for two \\nconsecutive semesters. In such a case the student will have an option to change \\nthe supervisor and submit a request for the change of supervisor to the Chairperson \\nSenate with the consent of the new supervisor. The Chairperson Senate will form \\na committee to review the case and the committee will submit its report to the \\nChairperson Senate. The Chairperson Senate will be the final authority to take the \\ndecision for the continuation of the programme of the program. If the Chairperson \\nSenate accepts the appeal, the old supervisor will not have any claim on the work \\ndone by the student. (Modified in the 46th Senate meeting) \\nOR \\niv) is absent without authorized leave for a major part of the semester \\nOR \\nv) involves herself/ himself, in indisciplinary act, in violation of the code of conduct, \\nand Students Advisory Committee of Senate makes a recommendation to that \\neffect. \\n \\nSuch students will be required to leave the Institute with immediate effect without getting \\nany degree. \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 17}, page_content='14 \\n \\nc) A student whose programme is either terminated on account of inadequate academic \\nperformance or terminated otherwise has the right to appeal to the Chairperson, Senate for \\nreconsideration through the Dean Academic with a justified reason for her/his poor \\nacademic performance. \\n \\nd) The Senate shall take a final decision after considering all the available inputs. However, \\nthe Senate shall not entertain any further appeal for review unless substantial additional \\ninformation is brought to its notice. \\n15. Academic Leaves \\n15.1 For the PS/ FA Category \\nFor the students admitted under the PS and FA category, the leave will be granted as per the \\nrules of the sponsoring agency. \\n15.2 For Other Categories: \\n15.2.1 Short Leave \\nApplications for any kind of short leave should be addressed to the Head of the respective \\ndiscipline for approval. Leave usually must not be availed without prior approval of the \\nHead of the respective discipline. In addition, if a student is going out of campus on leave, \\nshe/he must inform the Hostel/con cerned authorities. Following leaves are allowed to \\nstudent \\n \\na. Casual Leave: \\nA student can avail a maximum of 8 days casual leave in a year for a valid reason. \\nb. Medical Leave: \\nA student can avail a maximum of 15 days leave on medical grounds in a year. Permission \\nto grant leave on medical grounds (without assistantship) exceeding 15 days in a year is \\nto be submitted to the Dean, Academic through Head of the respective discipline. A \\nstudent who remains on authorized leave of absence due to ill health is required to submit \\na certificate from a Registered Medical Practitioner (verified by Institute’s Medical \\nOfficer) to the effect that she/he is sufficiently cured and is fit to resume her/his studies. \\nc. Vacation Leave: \\nMaximum of 15 days in a year is allowed to a Ph.D. student during the mid-semester \\nrecess or winter/summer vacations of UG students. \\n \\nd. Duty/Special leave \\nDuty/Special leave is required for PhD students to attend conferences or research work in \\nother organization, or any other work related to research during the semester. The said leave '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 18}, page_content='15 \\n \\ncan be sanctioned by the head of concern discipline based on the recomm endation of \\nsupervisor of the student. \\ne. Temporary Withdrawal / Semester Leave \\nA student is not normally allowed to withdraw from the academic programme temporarily \\nand is expected to complete her/his studies without any break. However, for bonafide \\nreasons and/or in exceptional circumstances, a student may be allowed to withdraw \\ntemporarily on leave of absence or semester leave at the discretion of Dean (Academic) \\non the recommendation of Head Discipline for an extended period. Such leave of \\nabsence(s) shall ordinarily not exceed two semesters with or without break during the \\nentire period of the academic programme. Except for medical reasons, the Semester Leave \\nshall not be granted unless the student has completed at least 2 semesters in the \\nprogramme. \\nf. Maternity/Paternity Leave \\nA married student may avail of Maternity/Paternity Leave as per policy laid down by the \\ngovernment of India from time to time. If supported by a proper medical certificate, leave \\nup to 6 weeks may also be granted to the married female student s against miscarriage \\nincluding medical termination of pregnancy. An absence against maternity/paternity leave \\nbeyond the permissible period shall normally entail financial loss. \\n \\nFurther, Chairperson Senate may sanction duty leave to the students going to attend \\nconference/ workshop/ experimental/ field work related to the Ph.D. research, etc. on case \\nto case basis. For all such cases prior approval is to taken by the student through \\nSupervisor, Head and Dean Academic. \\n16. Permission to Visit for Research at Other Institution \\nIn order to encourage a student to broaden her/her horizon and gain course/work experience, \\nshe/he may be permitted to proceed to other academic institutions/ industry/ research lab s in \\nIndia or abroad as a non-degree student. \\na. Such leave will be granted by the Chairperson Senate on the recommendation of \\nthe Dean Academic and Head of the Discipline through Supervisor. The student \\nmust have completed the comprehensive examination. \\nb. Such students will be given assistantship provided he/she does not receive any \\nfellowship from the organization. \\nc. Such student s may be allowed to spend up to two semesters in any academic \\ninstitution of repute/ research lab/ industry in India or abroad with the prior \\npermission of the Chairperson Senate. \\nd. Such a student shall make an application to the Dean Academic through the Head \\nof the Discipline giving details of the proposed programme and shall submit a \\nstatement of purpose with sufficient information about the institution where she/he \\nhas chosen to s pend time as a non -degree student along with possible credit '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 19}, page_content='16 \\n \\ntransfer. \\ne. Dean Academic shall take recommendations of APCS for credit transfer and will \\nplace the application to the Chairperson Senate for approval. \\n17. Open Seminar \\na) Before proceeding to finalize the thesis, each Doctoral student shall be required to \\ndeliver an Open Seminar. \\nb) A student shall become eligible to give an open seminar after completion of all \\nacademic requirements for the Doctoral Programme including thesis work. \\nc) A draft copy of the thesis should be submitted by the student through his/her supervisor \\nto the academic office before the approval for the open seminar. \\nd) The thesis supervisor/ programme coordinator shall constitute a committee for the \\nopen seminar. The committee shall comprise of \\ni. RPC members of the student \\nii. One nominee of the Dean Academic. \\nThe committee shall be approved by the Dean Academic. \\ne) The open seminar, which will be delivered to the faculty and students of the Institute, \\nshall deal with research work done by the Doctoral candidate with the objective of \\nobtaining comments and criticism, if any, which may be incorporated in his/her thesis \\nbefore its submission. The final decision of incorporation of the suggestion will be \\ndecided by the open seminar committee. \\nf) A student must submit the thesis within three months of the open seminar failing which \\nhe/she must give the open seminar again. \\n18. Thesis Submission for evaluation \\na) A Doctoral candidate shall be allowed to submit the thesis within the stipulated time \\n(currently three months from the open seminar) after successful completion of the open \\nseminar. \\nb) The thesis can be submitted for evaluation only if \\n(i) at least one patent/ design registration / IPR is filed from the Ph .D. work and \\nat least one paper is published or accepted for publication in the \\nSCI/SCIE/SSCI/SSCI/AHCI indexed journals \\nOR \\n(ii) at least two papers are published or accepted for publication in the \\nSCI/SCIE/SSCI/SSCI/AHCI indexed journals. \\nc) It will be the duty of the student submitting the thesis to check the thesis against \\npossible plagiarism. \\nd) Doctoral thesis for evaluation shall be submitted to the Dean Academic or nominee \\nthrough the supervisor. The thesis should be forwarded by the Convener DPGC. \\ne) Following are required to be submitted along with the thesis: \\ni) A soft copy of the synopsis of 6-7 pages '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 20}, page_content=\"17 \\n \\nii) Soft copy of the thesis \\niii) A softbound hard copy of the thesis \\niv) A panel of examiners \\nf) Date of the thesis submission will be considered as the date on which the thesis along \\nwith documents in point (iv) are received by the office of the Dean Academic. \\ng) The panel of examiners must consist of names of \\ni) at least 4 examiners from the top 400 QS/Times ranked Institutes outside India and \\nii) at least 4 examiners from India. \\nh) The Chairperson Senate has the right to add/ appoint examiner s of his/her choice, if \\nneeded. \\ni) The panel must be forwarded by the Chairperson DPGC and the Dean Academic. \\n19. Thesis Evaluation \\na) The panel of examiner s submitted by the thesis supervisor will be placed before the \\nChairperson Senate by the Dean Academic for approval of experts. \\nb) The thesis will be sent to two experts (one from India and one from outside India) for \\nevaluation. The Chairperson Senate may add new name (s) from the related field in \\nthe panel. \\nc) Reports of Doctoral thesis evaluation from the examiners, received in the Academic \\nSection of the Institute, shall be placed before Dean Academic who shall categorize \\nthem in one of the following three categories: \\nCategory I \\nIf an examiner suggests corrections regarding punctuation, grammar, spelling or \\nlanguage, the report shall be considered of Category I. In such a case, thesis \\nsupervisor(s) may use his/her/their discretion regarding the incorporation of such \\nsuggestions. \\nCategory II \\nIf an examiner points out minor technical mistakes, raises some queries or suggests \\nmodifications but does not imply that the acceptance of the thesis is subject to \\nremoval of these defects to the examiner's satisfaction, the report shall be considered \\nCategory II. In such a case, the supervisor shall send the revised thesis along with the \\nstudent’s response to the queries raised to the RPC of the student. \\nCategory III \\nIf an examiner raises technical points or suggests modifications, which must be \\nanswered/ carried out to the examiner’s satisfaction before the thesis is accepted the \\nreport shall be considered of Category III. In such a case, the supervisor shall send \\nthe student’s response to the queries raised by the ex aminer to the Dean Academic \\nalong with the revised thesis within three months from the communication received \\nfrom the Dean Academic. The revised thesis along with the response/rebuttal to the \\nqueries will be sent to the examiner with a request to respond within six weeks. If the \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 21}, page_content='18 \\n \\nexaminer’s response is not received within this period, a reminder shall be sent and \\nif no reply is received within the next six weeks, further action will be initiated. \\nCategory IV \\nIf one of the examiners out rightly rejects the thesis, the matter shall be referred to \\nthe Chairperson Senate for deciding the further course of action. \\n \\nIn all cases of revision on technical points, the revised thesis (both highlighted and \\nprevious copy of the thesis) along with the responses to the comments/ suggestions \\nwill be sent to a committee consisting of the DPGC and supervisor(s). The committee \\nmust give its recommendation within two weeks of receiving the revised thesis. The \\ncommittee must certify that the changes made in the thesis and responses to the \\nexaminer’s query are well incorporated. \\n \\nd) If both the examiners reject the thesis, the thesis shall be out rightly rejected and the \\nprogram of the student will be terminated without the award of the degree. \\n20. Thesis Defense \\na) Defense of the Doctoral students shall be carried out by a defense board consisting of \\nthe supervisor(s), RPC of the student and one external examiner nomin ated by the \\nChairperson Senate. \\nb) The board will be proposed by the thesis supervisor through the Convener DPGC to \\nthe Dean Academic. The form for the defense examination board must be accompanied \\nwith the consent of the RPC and rebuttal / response along with the revised thesis and \\ncertification of the DPGC, if any. \\nc) The name of the external examiner will be approved by the Chairperson Senate on the \\nrecommendation of the Dean Academic. \\nd) Once the board is approved, the constitution of the board will be communicated to the \\nthesis supervisor by the Dean Academic. \\ne) The supervisor will contact the external examiner and will fix up the date of the defense. \\nf) Once the date is finalized the defense d ate and time will be communicated to the \\ndiscipline office, academic office for record and an invitation will be sent to all the \\nfaculty and students with the title of the thesis and abstract. This communication will \\nbe done by the discipline office. \\ng) The defense of a thesis shall be required to be necessarily conducted within six months \\nfrom the date of receiving the report of all the examiners’. If the concerned student fails \\nto appear for the defense within this period, her/ his programme would be deemed to \\nbe terminated with the permission of the Chairperson Senate. \\n21. Final Thesis Submission \\nAfter a successful defense, the student will submit a synopsis, a hardbound copy and a soft \\ncopy of the final thesis to the library after incorporating changes suggested by the '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 22}, page_content='19 \\n \\ncommittee, if any, and approval of the Dean Academic. The thesis supervisor shall \\nauthenticate that all the suggestions of the Thesis Defense Board have been incorporated \\nin the revised copy. \\n22. Minimum Academic Requirements for the award of the Ph.D. degree \\nA student enrolled in the Doctoral programme shall formally become eligible for the award \\nof a Ph.D. degree after he/she has: \\n \\na) completed the minimum credit requirements of each of the following \\ni. Course work \\nii. Thesis Credits \\niii. Progress Seminars \\nAND \\nb) have at least the minimum required CPI of 7.0 in course work \\nAND \\nc) must have successfully defended her/his thesis and submitted her/ his final thesis \\nAND \\nd) Satisfied all the additional requirements specified by the Discipline and approved by \\nthe Senate, if any \\nAND \\ne) Satisfied all the requirements specified in Institute Ordinances and by the Senate. \\n \\n23. Minimum and Maximum Duration of a Programme \\na) The minimum duration for completion of Ph .D. degree shall be of 4 semesters and for \\nDoctoral students directly admitted to Ph.D. programme after B.Tech. shall be of 6 \\nsemesters. \\nb) The minimum duration for completion of Doctoral programmes under part time category \\nshall be of 6 semesters. \\nc) The maximum duration under which the Doctoral programme is to be completed, \\nirrespective of the category of the student, shall be 6 years. In exceptional cases, the \\nSenate is empowered to give an extension. \\n24. Financial Assistance from the Institute Funds \\na) Students admitt ed under the Institute Assistantship Category shall be eligible for the \\nInstitute Assistantship. \\nb) Amount of the Institute Assistantship for Ph .D. students shall be as per the directive of \\nthe Ministry of Education (MoE) and may change from time to time \\nc) All Ph.D. Institute Assistantship holders shall be required to assist the Institute by carrying \\nout the specified work assigned to them. The work to be assigned shall be as per guidelines \\nof MoE and shall be monitored by the Convener DPGC or his/her nominee(s). '),\n", " Document(metadata={'source': 'IIITDMJ\\\\Ph.D. Manual.pdf', 'page': 23}, page_content='20 \\n \\nd) A student under the IA category will be receiving the assistantship for the duration \\nspecified by Ministry of Education. \\ne) If any Ph.D. scholar takes withdrawal within 1st (First) year, any outstanding dues payable \\nto the student including caution money and/or assistantship will be ceased and will not be \\nrefunded. \\nf) A student under academic warning will not be eligible for an assistantship in the semester. \\ng) The enhancement of the assistantship from the JRF category to the SRF category will be \\nrecommended by the DPGC committee based on the progress of the student. The student \\nmust have published/ accepted at least one paper in the Tire 1 or Tire 2 conference. \\n \\n25. Discipline \\nIt is expected that the student must follow the guidelines of the institute to maintain ethics \\nand standard including academic honesty and student discipline as separately laid down by \\nthe Senate, failing which necessary action may be taken against the student. \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\The Programming Club.pdf', 'page': 0}, page_content='The Programming Club Website: webix.iiitdmj.ac.in theprogclub@iiitdmj.ac.in \\nFaculty Mentor: Dr. Atul Gupta, Phone No: 0761-2794223, Email: \\natul@iiitdmj.ac.in \\nCoordinator 22BEC043 ESHAAN \\nMODI B.Tech ECE 7834809103 22bec043@iiitdmj.ac.in \\nCo-coordinator 22BEC100 RISHI NITIN \\nGODRE B.Tech ECE 7021349273 22bec100@iiitdmj.ac.in \\n \\nIt is a detail about The Programming Club also known as TPC. \\n \\nBitbyte-TPC is a peer-learning community filled with tech-enthusiasts just like YOU! \\n \\nWe intend to keep your interest kindled with regular thought-provoking sessions on Competitive \\ncoding , web, app, and game development, open source contributions, AI and ML (basically anything \\nand everything that involves coding). aim to help students and as a community we want to grow as \\nmuch as possible in many domains of coding and development, be it Competitive Programming, \\nAndroid, Web, Open Source, AI/ML, Ethical Hacking. \\n \\nWhen you need advice regarding a fellowship, who is better equipped than someone who cracked it \\nthemselves? \\nWe are a team of skilled developers who have made it to GSoC, MLH and other prestigious programs, \\nand top level competitive coders who have achieved ranks in ICPC, Google Hashcode, CodeJam and \\nFaceBook HackerCup. \\nA strong and supportive alumni network which will help you get a career boost. \\n \\nMission \\nWe, including students from freshman year to final year, aim to create a thriving coding environment \\nfor developers like you to ensure community learning. \\nVision \\nWe focus on covering a wide spectrum of technologies to constantly expand the scope of the club so \\nthat each one of you feels included. \\n \\n \\n \\n \\n '),\n", " Document(metadata={'source': 'IIITDMJ\\\\The Programming Club.pdf', 'page': 1}, page_content=\"Main Events \\n \\nHackByte \\nThe Premiere Annual Hackathon ! \\n7th april to 9th april 2023 \\nA 3-day global hackathon in hybrid mode, aimed to bring together tech enthusiasts, make them \\nexplore the latest trends, share knowledge, and collaborate on innovative projects. \\n \\nWebsite \\n \\n \\nCodeRumble \\nIIIT Jabalpur's flagship team programming contest! \\n9th September 2023 \\nA 5-hour coding contest and speaker session to create awareness about Competitive Programming \\nCompetitions while teaming up with their peers. \\n \\n \\nBSOC \\nThe annual open-source program \\nMay to July 2023 \\nA 10-week program where participants contribute to open-source projects, learn from mentors, and \\ncollaborate with like-minded people. \\n \\nWinter of ML(GEN-AI) \\nAfter a summer of ml, the 2 - week initiated program for enhancement and development of skills and \\nwhere participant contribute to open-source projects, learn from mentors, and collaborate with like \\nminded people \\n \\nOther Events \\nTouch Type Turbo \\nBlind code FrontEnd \\nICPC Style Team Contest \\nEsports Event \\nML Hackathon \"),\n", " Document(metadata={'source': 'IIITDMJ\\\\The Programming Club.pdf', 'page': 2}, page_content='Apreta Fons \\n \\nLockOut \\nBlindCode \\n \\n ')]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "documents" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Divide and Conquer" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "\n", "# Embed the chunks\n", "text_splitter = CharacterTextSplitter(\n", " separator=\"\\n\", # Split by lines\n", " chunk_size=300, # Maximum chunk size\n", " chunk_overlap=200 # Overlap between chunks for context\n", ")\n", "split_docs = text_splitter.split_documents(documents)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Document(metadata={'source': 'IIITDMJ\\\\Academic Guidelines_271017.pdf', 'page': 0}, page_content='1 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\nAcademic Guidelines \\n for \\nUndergraduate (UG) and Postgraduate (PG) \\nProgrammes \\nDumna Airport Road, P.O.: Khamaria, Jabalpur - 482 005, Madhya Pradesh, India')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "split_docs[0]\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "6309" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(split_docs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Get Embeddings for OUR Documents" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "import pickle\n", "import faiss\n", "from langchain.vectorstores import FAISS" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\PRINCE SIDDHARTH\\AppData\\Local\\Temp\\ipykernel_21336\\1248739731.py:3: LangChainDeprecationWarning: The class `HuggingFaceEmbeddings` was deprecated in LangChain 0.2.2 and will be removed in 1.0. An updated version of the class exists in the :class:`~langchain-huggingface package and should be used instead. To use it run `pip install -U :class:`~langchain-huggingface` and import as `from :class:`~langchain_huggingface import HuggingFaceEmbeddings``.\n", " embeddings = HuggingFaceEmbeddings(model_name=\"all-MiniLM-L6-v2\")\n", "c:\\Users\\PRINCE SIDDHARTH\\OneDrive\\Desktop\\rag_proj2\\.venv\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } ], "source": [ "from langchain.embeddings import HuggingFaceEmbeddings\n", "\n", "embeddings = HuggingFaceEmbeddings(model_name=\"all-MiniLM-L6-v2\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "vector_store = FAISS.from_documents(split_docs, embeddings)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "page_content='welcome and assure you to take this treasured journey together in the right earnest. \n", "PDPM IIITDMJ is one of the unique academic Institutes with regard to its curriculum and emphasize \n", "on project-oriented learning. I am happy to write that Indian as well as Japanese industries are' metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 13}\n", "page_content='PDPM IIITDMJ is one of the unique academic Institutes with regard to its curriculum and emphasize \n", "on project-oriented learning. I am happy to write that Indian as well as Japanese industries are \n", "recognizing enhanced capabilities of our students due to the unique curriculum. The atmosphere on' metadata={'source': 'IIITDMJ\\\\IIITDM Jabalpur.pdf', 'page': 13}\n" ] } ], "source": [ "query = \"PDPM IITDMJ also known as?\"\n", "results = vector_store.similarity_search(query, k=2)\n", "for result in results:\n", " print(result)" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from langchain.schema.runnable import Runnable, RunnableMap\n", "from langchain.schema import BaseOutputParser" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Answer: The Director of the Institute is Prof. Bhartendu Kumar Singh. You can reach him at his email address, director@iiitdmj.ac.in.\n", "\n", "Source Document:  The Deputy Director (to be nominated on appointment) \n", " The Deans \n", " The Heads of various disciplines and \n", " The Registrar \n", " \n", " \n", " \n", " \n", "Building And Works Committee \n", "S. No. Name Designation \n", "1. Prof. Bhartendu Kumar Singh \n", "Director \n", "PDPM-IIITDM Jabalpur \n", "director@iiitdmj.ac.in\n", "\n", "Source Document: director@iiitdmj.ac.in \n", "2. Deputy Director To be nominated on appointment \n", "5. Er . Sunil Trivedi \n", "SE (Electrical), MPPKVVCL \n", "secityjabalpur@gmail.com \n", "Member \n", "6. Mrs. Swapnali Gadekar \n", "Acting Registrar and Officer-In-Charge \n", "Est \n", "PDPM IIITDM Jaba \n", "Secretary (Ex-Officio)\n", "\n", "Source Document: governing the affairs of the Institute. \n", "The Director apart from being the Executive and Academic Head of the Institute is also a member of \n", "the Board with Registrar as its ex-officio Secretary. The day-to-day administration of the Institute is to\n" ] } ], "source": [ "from langchain.chains import LLMChain, RetrievalQA\n", "\n", "from langchain.prompts import PromptTemplate\n", "from langchain.chat_models import ChatOpenAI\n", "from langchain.chains import LLMChain\n", "from langchain.vectorstores import FAISS\n", "\n", "\n", "\n", "# Step 3: Create an LLMChain using the prompt and the LLM\n", "llm_chain = LLMChain(llm=chat, prompt=prompt)\n", "\n", "# Step 4: Use a FAISS-based retriever\n", "# Assuming `vector_store` is already created\n", "retriever = vector_store.as_retriever(search_kwargs={\"k\": 3})\n", "\n", "# Step 5: Manually retrieve documents and process the context\n", "query = \"who is director?\"\n", "\n", "\n", "retrieved_docs = retriever.get_relevant_documents(query)\n", "\n", "# Combine retrieved documents into the context string\n", "context = \"\\n\\n\".join([doc.page_content for doc in retrieved_docs])\n", "input_data = {\"context\": context, \"question\": query}\n", "\n", "# Step 6: Pass the input data to the LLMChain\n", "result = llm_chain.run(input_data)\n", "\n", "# Output the result\n", "print(\"Answer:\", result)\n", "\n", "for doc in retrieved_docs:\n", " print(\"\\nSource Document:\", doc.page_content)\n", "\n" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Vector store saved successfully.\n" ] } ], "source": [ "# Save the vector store\n", "vector_store.save_local(\"vectorDB\")\n", "print(\"Vector store saved successfully.\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [], "source": [ "from langchain.vectorstores import FAISS\n", "\n", "def load_embeddings(embeddings, load_path=\"embedding\"):\n", " vector_store = FAISS.load_local(load_path, embeddings)\n", " return vector_store" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.6" } }, "nbformat": 4, "nbformat_minor": 2 }