Artificial Intelligence and Machine Learning
| Artificial Intelligence and Machine Learning | 3 credit 3 hours |
| 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. |