Fall 2006
- Stat 210A - Theoretical Statistics (Martin Wainwright)
- EE 123 - Digital Signal Processing (Avideh Zakhor; GSI: Chuohao Yeo)
Spring 2006
- Stat 281B - Statistical Learning Theory (Peter Bartlett)
- EE229 - Information Theory (Anant Sahai)
Fall 2005
- EE221A - Linear Systems Theory (Shankar Sastry)
- EE227A - Convex Optimization and Applications (Laurent El-Ghaoui)
Spring 2005
- EE225A - Digital Signal Processing (David Messerschmitt)
- EE225D - Audio Signal Processing (Nelson Morgan)
- CS280 - Computer Vision (Christopher Geyer)
Fall 2004
- EE226A - Random Processes in Systems (David Tse)
- CS281A - Statistical Learning Theory (Michael Jordan)
- MA221A - Advanced Matrix Computations (James Demmel)