Gaurav Veda Graduate Student Computer Science Department Carnegie Mellon University

Home

Academics

Courses

Fall 2005:

• Advanced Data Structures
• Advanced Computer Architecture

Spring 2006:

• Machine Learning
• Intermediate Probability

Fall 2006:

• Probabilistic Graphical Models
• Intermediate Statistics
• Mathematical Fundamentals for Robotics

Spring 2007:

• Statistical Machine Learning

Fall 2007:

• Advanced Operating Systems & Distributed Systems
• Spectral Graph Theory

Spring 2008:

• Graduate Algorithms
• Teaching Assistant for Optimization

Fall 2008:

• Type Systems for Programming Languages
• Technically Speaking

Readings Undertaken

Spring 2006:

• Approximation Algorithms by Vijay Vazirani
• Options, Futures and Other Derivatives by John C. Hull

Fall 2006:

• Approximation Algorithms by Vijay Vazirani
• Options, Futures and Other Derivatives by John C. Hull

Spring 2007:

• Multi Agent Systems (under preparation) by Kevin Leyton-Brown and Yoav Shoham
• Convex Optimization by Stephen Boyd and Lieven Vandenberghe

Fall 2007:

• Randomized Algorithms by Rajeev Motwani and Prabhakar Raghavan

Spring 2008:

• Randomized Algorithms by Rajeev Motwani and Prabhakar Raghavan