Artificial Intelligence Laboratory detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the AI&DS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Data Science 3rd Sem scheme and its subjects, do visit AI&DS 3rd Sem 2021 regulation scheme. The detailed syllabus of artificial intelligence laboratory is as follows.
Course Objectives:
- To design and implement search strategies
- To implement game playing techniques
- To implement CSP techniques
- To develop systems with logical reasoning
- To develop systems with probabilistic reasoning
List of Experiments:
- Implement basic search strategies – 8-Puzzle, 8 – Queens problem, Cryptarithmetic.
- Implement A* and memory bounded A* algorithms
- Implement Minimax algorithm for game playing (Alpha-Beta pruning)
- Solve constraint satisfaction problems
- Implement propositional model checking algorithms
- Implement forward chaining, backward chaining, and resolution strategies
- Build naive Bayes models
- Implement Bayesian networks and perform inferences
- Mini-Project
Course Outcomes:
At the end of this course, the students will be able to:
- Design and implement search strategies
- Implement game playing and CSP techniques
- Develop logical reasoning systems
- Develop probabilistic reasoning systems
For detailed syllabus of all other subjects of Artificial Intelligence & Data Science, 2021 regulation curriculum do visit AI&DS 3rd Sem subject syllabuses for 2021 regulation.
For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results direct link.