B.E Artificial Intelligence and Machine Learning Semester 8 Syllabus - Mumbai University
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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These are the courses the University circular for B.E. (Artificial Intelligence and Machine Learning) sets for this semester, 7 credits in all.
Advanced Artificial Intelligence
100 marks
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AI for financial & Banking application
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Quantum Computing
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Reinforcement Learning
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Graph Data Science
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Recommendation Systems
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Social Media Analytics
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Project Management
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Finance Management
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Entrepreneurship Development and Management
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Human Resource Management
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Professional Ethics and Corporate Social Responsibility (CSR)
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Research Methodology
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IPR and Patenting
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Digital Business Management
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Environmental Management
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Advanced AI Lab
1 credit
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AI for financial & Banking application Lab
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Quantum Computing Lab
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Reinforcement Learning Lab
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Graph Data Science Lab
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Recommendation Systems Lab
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Social Media Analytics Lab
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Major Project 2
6 credits · 150 marks
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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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