Data-Intensive Information Processing Applications (Spring 2010)

Course: INFM718G/CMSC838G
Time: Tuesday, 2:00-4:45pm
Location: HBK 2119
Instructors: Jimmy Lin, () and Nitin Madnani, ()

This course is about scalable approaches to processing large amounts of information (terabytes and even petabytes). We focus mostly on MapReduce, which is presently the most accessible and practical means of computing at this scale, but will discuss other approaches as well.

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Course Material

• Course information: course organization, policies, and grading
• Syllabus: lecture slides, readings, and assignment due dates
• Assignment 1-1 (due 2/2)
• Assignment 1-2 (due 2/9)
• Assignment 2 (due 2/23)
• Assignment 3 (due 3/2)
• Assignment 4 (due 3/26)
• Assignment 5 (due 3/30)
• Assignment 6 (due 4/27)

Acknowledgments

We gratefully acknowledge the support of Google and IBM via the Academic Cloud Computing Initiative, as well as Amazon Web Services via their AWS in Education program.

This page, first created: 07 Jan 2010; last updated: