CS341
Project in Mining Massive Data Sets
Spring 2012
CS341 is an advanced project based course. Students will work on data mining and machine learning algorithms for analyzing very large amounts of data. Both interesting big datasets as well as computational infrastructure (large MapReduce cluster) will be provided by course staff.

Announcements:


Course information:

Instructors:

Jure Leskovec (jure@cs.stanford.edu)

Anand Rajaraman (datawocky@gmail.com)

Jeff Ullman (ullman@gmail.com)

Andreas Weigend (aweigend@stanford.edu)

Class meetings:

Tuesdays and Thursdays 4:15PM - 5:30PM in Hewlett 103.

This is a project course. There will be only a few weekly lectures, and only one or two introductory homeworks. We will spend the quarter working in teams on different large scale data mining related projects. Teams will individually meet with the assigned mentor.

Teaching assistant:

Keith Siilats (siilats@stanford.edu)
Office Hours: Wednesdays 12:30-2:00pm, Gates B28

Communication:

You can reach us at cs341-spr1112-staff@lists.stanford.edu
Use Piazza to post class related questions: http://piazza.com/class#spring2012/cs341
(Piazza requires @stanford.edu email address to register. If you do not have @stanford.edu address, send us email with your email address and we will add you to Piazza.)

Previous versions of the course:

CS341: Spring 2011

Acknowledgment:

The course is generously supported by Amazon by giving us access to their EC2 platform.