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    B. Voc AI and ML Syllabus

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    souravsurendren
    This document outlines the program structure and course details for a B. Voc. degree in Artificial Intelligence and Machine Learning. It includes: - 5 program specific outcomes focused on developing skills in programming, data analytics, natural language processing, software development, and real-world project experience. - A 6 semester course structure including courses in AI, programming, data science, and skill training courses. Skill training includes areas like R, Python, Machine Learning, Data Visualization, IoT and more. - Assessment details for each course including theory/practical hours, examination duration and scheme, and credits earned for each subject. - Opportunities to earn certificates, diplomas and degrees at various

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    B. Voc AI and ML Syllabus

    Uploaded by

    souravsurendren
    161 views2 pages
    This document outlines the program structure and course details for a B. Voc. degree in Artificial Intelligence and Machine Learning. It includes: - 5 program specific outcomes focused on developing skills in programming, data analytics, natural language processing, software development, and real-world project experience. - A 6 semester course structure including courses in AI, programming, data science, and skill training courses. Skill training includes areas like R, Python, Machine Learning, Data Visualization, IoT and more. - Assessment details for each course including theory/practical hours, examination duration and scheme, and credits earned for each subject. - Opportunities to earn certificates, diplomas and degrees at various

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    This document outlines the program structure and course details for a B. Voc. degree in Artificial Intelligence and Machine Learning. It includes: - 5 program specific outcomes focused on developing skills in programming, data analytics, natural language processing, software development, and real-world project experience. - A 6 semester course structure including courses in AI, programming, data science, and skill training courses. Skill training includes areas like R, Python, Machine Learning, Data Visualization, IoT and more. - Assessment details for each course including theory/practical hours, examination duration and scheme, and credits earned for each subject. - Opportunities to earn certificates, diplomas and degrees at various

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    161 views2 pages

    B. Voc AI and ML Syllabus

    Uploaded by

    souravsurendren
    This document outlines the program structure and course details for a B. Voc. degree in Artificial Intelligence and Machine Learning. It includes: - 5 program specific outcomes focused on developing skills in programming, data analytics, natural language processing, software development, and real-world project experience. - A 6 semester course structure including courses in AI, programming, data science, and skill training courses. Skill training includes areas like R, Python, Machine Learning, Data Visualization, IoT and more. - Assessment details for each course including theory/practical hours, examination duration and scheme, and credits earned for each subject. - Opportunities to earn certificates, diplomas and degrees at various

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 2

    B. Voc.

    ARTIFICIAL INTELLIGENCE and MACHINE LEARNING

    Programme Specific Outcomes


     Focus on skill components with appropriate knowledge in programming concepts
     Equip knowledge with analytical skills for data analytics and natural language processing
     Multiple skills set training in Artificial Intelligence and Machine Learning
     Industry based orientation for software development with teamwork, leadership and
    entrepreneurship skills.
     Apply cutting edge technologies and work on real-life industry grade projects

    Scheme of Instruction & Examination


    (For students admitted from 2020- 2021 onwards)

    Part Subject Name of the Paper / Hours of Instruction Scheme of Examination Credits
    Code Component / Week
    Theory Practical / Duration CIA CE Total
    Training of Exam
    First Semester
    Language
    I 20VLEN01 Communicative English 2 2 3 50 50 100 2
    Core Courses
    II 20VAIC01 Computer Fundamentals and 2 2 3 50 50 100 3
    Office Automation
    20VAIC02 Fundamentals of Artificial 3 2 3 50 50 100 3
    Intelligence
    20VAIC03 Applied Mathematics 3 2 3 50 50 100 4
    Skill Training
    III 20VAIS01 Skill Training in R 3 9 3 50 50 100 18
    Non Credit Mandatory
    Course (NCMC)
    20BVNSS1 NSS-I 100 - 100 Remarks
    Second Semester
    Language
    I 20VLEN02 Professional English 2 2 3 50 50 100 2
    Core Courses
    II 20VAIC04 Programming in Python 2 2 3 50 50 100 2
    20VAIC05 Introduction to Databases 2 2 3 50 50 100 2
    20VAIC06 Problem solving using 3 2 3 50 50 100 2
    Artificial Intelligence
    20VAIC07 Statistical Methods using 3 2 3 50 50 100 4
    SPSS
    Skill Training
    III 20VAIS02 Skill Training in Python 3 5 3 50 50 100 18
    Non Credit Mandatory
    Course (NCMC)
    20BVNSS2 NSS-II 100 - 100 Remarks
    Third Semester
    Core Courses
    II 20VAIC08 Advanced Python 2 2 3 50 50 100 2
    Programming
    20VAIC09 Data Mining and Analytics 3 2 3 50 50 100 4
    20VAIC10 Fundamentals of Machine 3 2 3 50 50 100 4
    Learning
    Skill Training
    III 20VAIS03 Skill Training in Machine 3 5 3 50 50 100 10
    Learning and Data
    Analytics using R
    20VAIS04 Skill Training in Advanced 3 5 3 50 50 100 10
    Python
    Non Credit Mandatory
    Course (NCMC)
    20BVNSS3 NSS-III 100 - 100 Remarks
    Fourth Semester
    Core Courses
    II 20VAIC11 Big Data Analytics 2 2 3 50 50 100 2
    20VAIC12 Data Visualization 3 2 3 50 50 100 4
    Techniques
    20VAIC13 Natural Language 3 2 3 50 50 100 4
    Processing
    Skill Training
    III 20VAIS05 Skill Training in Data 3 5 3 50 50 100 10
    Visualization using Tableau
    20VAIS06 Skill Training in NLP using 3 5 3 50 50 100 10
    Python
    Non Credit Mandatory
    Course (NCMC)
    20BVNSS4 NSS-IV 100 - 100 Remarks
    Fifth Semester
    Core Course
    II 20VAIC14 Deep Learning and Neural 3 2 3 50 50 100 4
    Networks
    Skill Training
    III 20VAIS07 Skill Training in IoT 2 6 3 50 50 100 7
    20VAIS08 Skill Training in 2 6 3 50 50 100 7
    TensorFlow
    20VAIS09 Mini Project - 9 3 50 50 100 12
    Non Credit Mandatory
    Course (NCMC)
    20BVNSS5 NSS-V 100 - 100 Remarks
    Sixth Semester
    Core Course
    II 20VAIC15 Reinforcement Learning 2 2 3 50 50 100 4
    Skill Training
    III 20VAIS10 Skill Training in Robotics 2 5 3 50 50 100 6
    20VAIS11 Skill Training in Computer 2 5 3 50 50 100 6
    Vision
    20VAIS12 Major Project - 12 3 100 100 200 14
    Non Credit Mandatory
    Course (NCMC)
    20BVNSS6 NSS-VI 100 - 100 Remarks
    Exit Levels NSQF Level Credits earned Award
    At the end of I Semester 4 30 Certificate
    At the end of I Year 5 60 Diploma
    At the end of II Year 6 120 Advanced Diploma
    At the end of III Year 7 180 B. Voc. Degree

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