Course Code | Course Name | Credits | Hours |
---|---|---|---|
3105198 | Artificial Intelligence and Machine Learning | 3.0 | 3 |
Description | 1. Introduction to Artificial Intelligence 2. Propositional Logic 3. Learning of Deterministic Models 4. Representation of Uncertain Knowledge 5. Bayesian Networks 6. Parameter Learning of Probabilistic Models 7. Structure Learning of Probabilistic Models 8. Unsupervised Learning 9. Genetic Algorithm 10. Genetic Programming 11. Particle Swarm Optimization |