UCLA Courses
Spring 2010
- STAT 232B: Statistical Computing and Inference in Vision and Image Science (Song Chun Zhu)
Winter 2010
- STAT 232A: Statistical Modeling and Learning in Vision and Image Science (Song Chun Zhu)
- CS 275: Artificial Life (Demetri Terzopoulos)
Fall 2009
- STAT 204: Non-parametric Function Estimation and Modeling (Mark Hansen)
- CS 262A: Reasoning with Partial Beliefs (Adnan Darwiche)
Spring 2009
- CS 262Z: Current Topics in Cognitive Systems (Judea Pearl)
- CS 279: Advanced Topics in Vision (Stefano Soatto)
Winter 2009
- STAT 200B: Theoretical Statistics (Yingnian Wu)
- STAT 202B: Matrix Computation and Optimization (Jan de Leeuw)
- STAT 238: Vision as Bayesian Inference (Alan Yuille)
Fall 2008
- STAT 200A: Applied Statistics (Yingnian Wu)
- STAT 231: Pattern Recognition and Machine Learning (Alan Yuille)
- CS 262A: Automated Reasoning (Adnan Darwiche)