Hi UW CSE students!
We’re piloting a “Boot Camp Style Class” at UW this quarter because lots of students have asked if Google could teach a class on campus to cover the topic of distributed computing on large data sets on clusters of computers via MapReduce.
So, without further ado, we present: The Google UW MapReduce Bootcamp Class! Interested? Read further:
Class Title: MapReduce Bootcamp v1.0
Synopsis: 3 week Bootcamp style class to learn how to use MapReduce to process large data sets. Covers basics of MapReduce and how to apply them through a series of exercises to build a simple search engine over Wikipedia. Read full syllabus here.
Instructor: Shen Lee is a UW CSE alum of 2007 and has been a Googler since departing from the CSE department. Shen has been a technical lead on our Knowledge team and is pretty stoked to be coming back to his old stomping grounds to teach this class!
Pre-Req: CSE 143
Dates & Classroom: CSE Room 403
4/25, Wednesday, 4:30-7:00 p.m.
5/02, Wednesday, 4:30-7:00 p.m.
5/09, Wednesday, 4:30-7:00 p.m.
Office Hours: Wednesdays (4/16, 4/25, 5/02, 5/09 at 2-4pm) CSE Room 204
Food: YES. In Google fashion, we’ll have dinner during each class provided (probably pizza and the like!).
Want to sign up? Limit for class is 25 students, please fill out SIGN UP FORM by Monday 4/17 to be considered!
See you in class!
Shen and Yin