SEDS 533
Probabilistic Reasoning
Graphical Probability Models. Bayesian Reasoning. Bayesian Networks. Learning in Bayesian Networks. Knowledge Engineering. Temporal Models. Inference in Dynamic Bayesian Networks. Markov Decision Processes.
| Week | Topics |
|---|---|
| 1 | Introduction |
| 2 | Graphical Probability Models |
| 3 | Representing Knowledge in an Uncertain World |
| 4 | Bayesian Reasoning |
| 5 | Inference in Bayesian Networks |
| 6 | Midterm |
| 7 | Learning in Bayesian Networks |
| 8 | Knowledge Engineering |
| 9 | Bayesian Network Applications |
| 10 | Temporal Models |
| 11 | Inference in Dynamic Bayesian Networks |
| 12 | Markov Decision Processes |
| 13 | Partially Observable Markov Decision Processes |
| 14 | Project Presentations |