B.E Artificial Intelligence and Machine Learning Semester 2 Syllabus - Mumbai University
This is the First Year AI-ML syllabus under NEP 2020, in force from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.
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These are the courses the University circular for B.E. (Artificial Intelligence and Machine Learning) sets for this semester, 13 credits in all.
Applied Mathematics-II
2 credits
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Physics for Emerging Fields
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Physics for Emerging Fields Lab
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Semiconductor Physics
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Semiconductor Physics Lab
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Physics of Measurements and Sensors
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Physics of Measurements and Sensors Lab
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Engineering Materials
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Engineering Materials Lab
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Environmental Chemistry and Non-conventional Energy sources
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Introduction to Computational Chemistry
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Introduction to Computational Chemistry Lab
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Engineering Graphics
3 credits
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Engineering Graphics Lab
1 credit
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Data Structure
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Data Structure Lab
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Social Science and Community Services
2 credits
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Indian Knowledge System
2 credits
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Engineering Workshop-II
1 credit
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Python Programming
2 credits
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The complete syllabus
Every subject above is cut from these University circulars, one per year of the degree. Open one if you want the whole document rather than a single subject.
7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020)
NEP 2020 syllabus
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6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020)
NEP 2020 syllabus
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6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme)
REV-2019 'C' Scheme syllabus
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B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme)
REV-2019 'C' Scheme syllabus
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