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B.E. (Artificial Intelligence and Data Science) Semester 8 Syllabus - Mumbai University

This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.

Browse Syllabus by Subject

PDF Advanced Artificial Intelligence 3 credits Read syllabus Read
PDF AI for Financial and Banking Application Department Level Optional Course-5 · 3 credits Read syllabus Read
PDF Quantum Computing Department Level Optional Course-5 · 3 credits Read syllabus Read
PDF Reinforcement Learning Department Level Optional Course-5 · 3 credits Read syllabus Read
PDF Graph Data Science Department Level OptionalCourse-6 · 3 credits Read syllabus Read
PDF Recommendation Systems Department Level OptionalCourse-6 · 3 credits Read syllabus Read
PDF Social Media Analytics Department Level OptionalCourse-6 · 3 credits Read syllabus Read
PDF Project Management Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Finance Management Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Entrepreneurship Development and Management Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Human Resource Management Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Professional Ethics and Corporate Social Responsibility (CSR) Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Research Methodology Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF IPR and Patenting Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Digital Business Management Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Environmental Management Institute Level OptionalCourse-2 · 3 credits Read syllabus Read
PDF Advanced AI Lab Advanced Artificial Intelligence Lab · 1 credits Read syllabus Read
PDF AI for Financial and Banking Application Lab Department Level Optional Course-5 Lab · 1 credits Read syllabus Read
PDF Quantum Computing Lab Department Level Optional Course-5 Lab · 1 credits Read syllabus Read
PDF Reinforcement Learning Lab Department Level Optional Course-5 Lab · 1 credits Read syllabus Read
PDF Graph Data Science Lab Department Level Optional Course-6 Lab · 1 credits Read syllabus Read
PDF Recommendation Systems Lab Department Level Optional Course-6 Lab · 1 credits Read syllabus Read
PDF Social Media Analytics Lab Department Level Optional Course-6 Lab · 1 credits Read syllabus Read
PDF Major Project 2 6 credits Read syllabus Read

The complete syllabus

Every subject above is cut from these University circulars. Open one if you want the whole document rather than a single subject.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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