This year (2012-13):
| Fall | CSE 101 | Algorithms |
| Winter | CSE 291 | Bayesian methods |
| Spring | CSE 291 | Geometric algorithms |
Some courses from previous years:
| CSE 101 | Algorithms | W03, F03, F05, W07, F07, W09, F11 |
| CSE 103 | Probability and statistics | W10, F10 |
| CSE 190 | Computational linear algebra | S09 |
| CSE 250B | Machine learning | S04, W06 |
| CSE 254 | Seminar: inference in graphical models | F05 |
| CSE 254 | Seminar: embeddings | W07 |
| CSE 254 | Seminar: deep learning | W12 |
| CSE 291 | Probabilistic AI | S03, S05 |
| CSE 291 | Learning theory I (supervised learning) | F06 |
| CSE 291 | Topics in unsupervised learning | F04, S08 |
| CSE 291 | Bayesian methods | W13 |
| CSE 291 | Geometric algorithms | S13 |