B.E Artificial Intelligence and Machine Learning Semester 6 Syllabus - Mumbai University
This is the Third Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2022-23. 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, 20 credits in all.
Data Analytics and Visualization
3 credits · 100 marks
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Cryptography and System Security
3 credits · 100 marks
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Software Engineering and Project Management
3 credits · 100 marks
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Machine Learning
3 credits · 100 marks
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High Performance Computing
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Distributed Computing
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Image and Video Processing
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Data Analytics and Visualization Lab
1 credit · 50 marks
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Cryptographic and system security Lab
1 credit · 25 marks
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Software Engineering and Project Management Lab
1 credit · 25 marks
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Machine Learning Lab
1 credit · 50 marks
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Skill Based Lab course Cloud Computing
2 credits · 75 marks
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Mini Project 2B
2 credits · 50 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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