Project in Mining Massive Data Sets
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
03/18: Info session will be held Tuesday 03/18 at 7:00pm in Gates 104.
Slides with course info and project ideas.
Use Piazza to form teams.
3/18: The first class will be held at 4:15pm on Wednesday, April 2nd, in Mitchell Earth Science Building, Room B67
We look forward to seeing you there!
04/02: First lecture (logistics).
Slides of the first lecture (logistics).
05/02: Midterm presentations are on May 5th and 7th during class time. Please send your slides to Mike before midnight on Sunday, May 4th.
06/03: Final presentations will be in our regular room on June 10th, from 12:15 - 3:15 PM. We'll have pizza!
06/03: Please send the slide deck for your final presentation to the course staff mailing list by midnight on Monday, June 9th.
06/03: Please send your final reports to the course staff mailing list by midnight on Tuesday, June 10th. For more information about what we expect in the report, please see the Course info page.
06/13: Check out the students' final project reports!
Jure Leskovec (email@example.com)
Anand Rajaraman (firstname.lastname@example.org)
Jeff Ullman (email@example.com)
Rok Sosic (firstname.lastname@example.org)
Mondays and Wednesdays 4:15PM - 5:30PM in Mitchell Earth Science Building, Room B67.
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.
Mike Chrzanowski (email@example.com)
Office Hours: upon request (send me an email).
You can reach us at firstname.lastname@example.org
Use Piazza to post class related questions: http://piazza.com/class#spring2014/cs341
(Piazza usually requires @stanford.edu email address to register. If you do not have @stanford.edu address, use the access code "cs341" to subscribe to the class.)
Previous versions of the course:
CS341: Spring 2013
CS341: Spring 2012
CS341: Spring 2011
The course is generously supported by Amazon by giving us access to their EC2 platform.