Fall 2012
- CS 395T Graphical Models (Pradeep Ravikumar)
- CS 395 Conference Course with Peter Stone
Fall 2011
- CS 394N Neural Networks (Risto Miikkulainen)
- CS 395 Conference Course with Peter Stone
Spring 2011
- CS 394R Reinforcement Learning (Peter Stone)
- CS 395 Conference Course with Peter Stone
Fall 2010
- CS 380D Distributed Computing (Jayadev Misra)
- CS 372 Introduction to Operating Systems (Mike Dahlin)
- CS 395 Conference Course with Peter Stone
Spring 2010
- CS 388G Algorithms: Techniques and Theory (Greg Plaxton)
- CS 388L Introduction to Mathematical Logic (Vladmir Lifschitz)
- CS 395 Conference Course with Peter Stone
Fall 2009
- CS 393R Autonomous Robots (Peter Stone)
- CS 391L Machine Learning (Dana Ballard)
- CS 398T Supv Teaching in Computer Science