Courses at Berkeley:

• Fall, 2004 --
  • Math 214 (Harrison/ TA Yao): Differentiable Manifolds
• Spring, 2004--
  • Stat 241B (Jordan): Statistical Learning Theory
• Spring, 2003 --
  • Stat 205B (Pitman): Theory of Probability
• Fall, 2002 --
  • Stat 205A (Pitman): Theory of Probability
  • Stat 241A (Jordan): Statistical Learning theory
• Spring, 2002 --
  • Stat 210B (Doksum): Theoretical Statistics
  • CS294-6 (BKP Horn): Computational Imaging
  • CS174 (Jordan): Combinatorics and Discrete Probability (TAship)
• Fall, 2001 --
  • Stat 210A (Nolan): Theoretical Statistics
  • CS271 (Sinclair): Randomness and computation
• Spring, 2001 --
  • CS294-11(Malik/Hanrahan): Appearance Models for Computer Graphics and Vision
  • CS294-7 (O'Brien/Barsky): Computer Animation
  • C280 (Forsyth): Computer Vision
  • CS270 (Sinclair): Combinatorial algorithms and Data structures
• Fall, 2000 --
  • cs262 (Hellerstein/Brewer): Readings in OS/DB
  • cs284 (Sequin): Computer Aided Geometric Design
  • cs294-2 (Malik): Image segmentation and Object recognition
  • cs298(Rowe): Multimedia, Graphics, Interface seminar