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

This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. 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 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.

Artificial Intelligence Lab.pdf
Semester 5 · TY BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Artificial Intelligence Lab

Semester 5 · TY BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1

  • Provide the PEAS description and TASK Environment for a given AI problem.

Module 2

  • Identify suitable Agent Architecture for the problem

Module 3

  • Write simple programs using PROLOG as an AI programming Language

Module 4

  • Implement any one of the Uninformed search techniques

Module 5

  • Implement any one of the Informed search techniques E.g. A-Star algorithm for 8 puzzle problem

Module 6

  • Implement adversarial search using min-max algorithm.

Module 7

  • Implement any one of the Local Search techniques. E.g. Hill Climbing, Simulated Annealing, Genetic algorithm

Module 8

  • Prove the goal sentence from the following set of statements in FOPL by applying forward, backward and resolution inference algorithms.

Module 9

  • Create a Bayesian Network for the given Problem Statement and draw inferences from it. (You can use any Belief and Decision Networks Tool for modeling Bayesian Networks)

Module 10

  • Implement a Planning Agent

Module 11

  • Design a prototype of an expert system

Module 12

  • Case study of any existing successful AI system

Useful Links

  • 1 An Introduction to Artificial Intelligence - Course (nptel.ac.in)
  • 2 https://tinyurl.com/ai-for-everyone
  • 3 https://ai.google/education/
  • 4 https://openai.com/research/

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.42 (R), under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. 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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