B.E. (Artificial Intelligence and Data Science) Advanced AI Lab 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.

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Syllabus for Advanced AI Lab

Semester 8 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1

Design and implement a Hidden Markov Models for outcome prediction.

Module 2

Design and implement a Bayesian Network for outcome prediction.

Module 3

Design and implement a Gaussian Mixture Models for outcome prediction.

Module 4

Build and Train a Generative Multi-Layer Network Model using appropriate dataset.

Module 5

Build and Train a Deep Convolution Generative Multi-Layer (DCGAN) Network Model for an image based dataset.

Module 6

Develop a Conditional GAN (CGAN) Network to direct the image generation process of the generator model.

Module 7

Train a variational autoencoder using Tensorflow on dataset of your choice.

Module 8

Explore the working of any pre-trained model towards outcome generation.

Module 9

Implement the KNN algorithm.

Module 10

Implement XGBoost for (any one task) - Classification - Regression

Module 11

Case-study on the emerging technologies in AI like Metaverse, Augmented reality etc.

Module 12

Mini Project Report: For any one chosen real world application as per the syllabus of CSC801 : Advanced AI.

Module 13

Implementation and Presentation of Mini Project

Useful Links

1 https://nptel.ac.in/courses/106106224
2 https://www.tensorflow.org/tutorials/generative/cvae
3 https://onlinecourses.nptel.ac.in/noc20_cs62/preview
4 https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans/

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing 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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