Introduction of Artificial Intelligence
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Introduction of Artificial Intelligence Syllabus — Unit-wise Content
The official GTU curriculum for Introduction of Artificial Intelligence (subject code 3145201) as prescribed for AI & ML · Semester 4 divides the course into 6 units, covering 30 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3145201)Unit 1 Introduction to AI
- Introduction of Artificial Intelligence
- Historical backdrop
- AI Problems
- AI technique
- production systems
- problem characteristics
- production systems characteristics
Unit 2 Problem Solving
- Problem Solving by Searching
- State-space Search techniques: Breadth first search
- depth first search and Iterative deepening DFS
- Heuristic search Techniques: Hill Climbing
- Best-first search
- Problem reduction
- Constraint satisfaction
Unit 3 Finding Optimal Paths
- Brute Force
- Branch & bound
- Admissibility of A*
- Iterative Deepening A*
- Recursive best first search
Unit 4 Planning
- Component of a Planning system
- Forward state space planning
- Backward state space planning
- Goal stack planning
- Plan space Planning
- Hierarchical planning
Unit 5 Game Tree search
- Heuristics in game tree search
Unit 6 Natural Language Understanding
- mechanical translation
- Parsing techniques
- Text generation
- Natural language processing systems 5 Subject Code: 3145201 Introduction of Artificial Intelligence SEMESTER : 4 Type of course : Humanities & Social Science 2 of 3
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