Summary: http://www.trailfire.com/KenjiK/trailview/45351
The University of Washington ran an upper-division course on Distributed Computing with MapReduce in Spring 2007. Below you'll find the materials that were used for the class: five lectures in powerpoint format, as well as four lab exercises designed which were completed by students over the duration of the course, using a cluster running Hadoop.
This page contains a comprehensive introduction to MapReduce including lectures, reading material, and programming assignments. The goal is to provide a set of lectures which can be integrated into an existing systems courses such as Operating Systems, Networking, etc, which already are taking an "under the hood" approach to computer science. Prerequisite knowledge includes Multithreading, Synchronization, locks, semaphores, barriers, etc, and sockets.
Algorithimc review of MapReduce.
