Artificial Intelligence (BIT351CO)

AI foundations from agents and search through knowledge representation, learning, reasoning, expert systems, neural networks, and NLP.

1. Unit 1: Introduction & Applications of AI

2. Unit 2: Agents: PEAS, Rationality & Agent Types

3. Unit 3: Uninformed & Informed Search (BFS, DFS, A*, Hill Climbing)

4. Unit 4: Adversarial Search & Constraint Satisfaction (Minimax, Alpha-Beta, CSP)

5. Unit 5: Knowledge Representation (Logic, Semantic Nets, FOPL)

6. Unit 6: Learning Systems (Decision Trees, Reinforcement Learning)

7. Unit 7: Reasoning (Monotonic, Bayesian, Case-Based)

8. Unit 8: Expert Systems (Inference Engine, Forward/Backward Chaining)

9. Unit 9: Artificial Neural Networks (Perceptron, Backpropagation)

10. Unit 10: Natural Language Processing