|
||||
| main | bio | resume/cv | teaching | activities | classes | links | ||||
|
Current Classes CS262A Advanced Topic in Computer Systems Professor Eric Brewer and Professor Joe Hellerstein CS262a is the first semester of a year-long sequence on computer systems research, including operating systems, database systems, and internet infrastructure systems. The goal of the course is to cover a broad array of research topics in computer systems, and to engage you in top-flight systems research. The first semester is devoted to basic thematic issues and underlying techniques in computer systems, while the second semester goes deeper into topics related to scalable, parallel and distributed systems. The class is based on a discussion of important research papers, and a research project. CS294-34 Practical Machine Learning Professor Michael A. Jordan This course introduces core statistical machine learning algorithms in a (relatively) non-mathematical way, emphasizing applied problem-solving. The prerequisites are light; some prior exposure to basic probability and to linear algebra will suffice. |
||||
|
Classes From Previous Semesters Fall 2007 CS 294-14- Architecture of Internet Datacenters Professor Randy Katz CS281A- Statistical Learning Theory Professor Michael A. Jordan Spring 2006 CS268- Graduate Computer Networks Professor Ion Stoica EE290Q- Organization and Management of Ad-hoc Sensor and Actuator Networks Professor Jan Rabaey and Professor Adam Wolisz Fall 2005 CS294-11- Graduate Seminar on Sensor Actuator Networks Professor David Culler and Professor Joe Hellerstein |
||||