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.
Loading syllabus...
Syllabus for Artificial Intelligence Lab
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.