Graduate Courses : UCSD

Winter 2008

Fall 2007

Spring 2007

MATH 285: Introduction to Stochastic Processes

CSE 291F: Topics in High Dimensional Data Analysis

Winter 2007

ECE 256B: Time-series Analysis and Applications

CSE 291D: Probabilistic Methods in AI and Machine Learning (Audit)

Fall 2006

ECE 287A: Convex Optimization and Applications

CSE 291: Learning Theory I

Spring 2006

MATH 281C: Mathematical Statistics III

Winter 2006

ECE 200: Computational Statistics and Machine Learning (Seminar)

CSE 250B: Artificial Intelligence II

ECE 275B: Parameter Estimation II

MATH 281B: Mathematical Statistics II

Fall 2005

ECE 271A: Statistical Learning I

ECE 275A: Parameter Estimation I

MATH 281A: Mathematical Statistics I

Graduate Courses : IIT Kanpur

Spring 2001

EE 602: Statistical Signal Processing-I

EE 604: Image Processing

EE 607: Spectral and Correlation Techniques for Digital Systems

EE 621: Representation and Analysis of Random Signals

EE 624: Information and Coding Theory (Audit)

Fall 2000

EE 600: Mathematical Structures of Signals and Systems

EE 603: Advanced Topics in Digital Filtering

EE 623: Detection and Estimation Theory

EE 627: Speech Signal Processing

EE 626: Topics in Stochastic Processes (Audit)

Last update: May 10, 2008