Math
- 266ABC: Ordinary/Partial Differential Equations
- 269ABC: Advanced Numerical Analysis
- 270C: Computational Linear Algebra by L. Vese
- 270D: Computational Fluid Dynamics by S. Osher
- 226A: Differential Geometry by G. Liu
- 274A: Asymptotic Methods by P. Roberts
- 285J: Level set Methods by S. Osher
- 285J: Mulitgrid Methods by B. Achi
Stat
- 231: Pattern Recognition and Machine Learning by A. Yuille
- 232A: Statistical Modeling and by S. C. Zhu
- 238: Vision as Bayesian Inference by A. Yuille
EE/CS
- EE236B: Nonlinear Programming by L. Vandenberghe
- CS268: Machine Perception by S. Soatto
- CS279: Visual Recognition by S. Soatto
Course Projects
- Learning empirical distributions and face recognition with Adaboost
- Nonlinear two-view reconstruction using epipolar geometry, SIFT and RANSAC
