Courses
2010 Fall
- math721, Real Analysis I. (Andreas Seeger) - Audit
2010 Spring
- cs838, Convex Geometry in High-Dimensional Data Analysis. (Ben Recht) - Audit
2008 Fall
- cs727, Nonsmooth Optimization. (Stephen Robinson) - Audit
- stat632, Intro. to Stochastic Processes. (Timo Seppalainen)
2007 Fall
- stat860, Estimation of Functions from Data. (Grace Wahba)
- cs537, Intro. to Operating Systems. (Michael Swift)
2007 Spring
- cs776, Advanced Bioinformatics. (Colin Dewey)
- cs513, Numerical Linear Algebra (Amos Ron)
- stat610, Introduction to Statistical Inference (Mike Newton)
- ece901, Statistical Learning Theory (Robert Nowak) - Audit
2006 Fall
- cs726, Nonlinear Programming Theory & Applications. (Steve Wright)
- cs760, Machine Learning (Jude Shavlik)
- stat609, Mathematical Statistics (Kjell Doksum)
2006 Spring
- cs720, Integer Programming (Andrew Miller)
- cs635, Tools and Environments in Optimization. (Steve Wright)
2005 Fall
- cs730, Nonlinear Programming Algorithms. (Michael Ferris)
- cs525, Linear Programming Methods (Robert Meyer)