Data Intensive Computing Systems (2012)

Spring 2012
Instructor:  Andrew A. Chien
Meetings: MF 130-250pm, Ry 277

Objective: Expose students to the technical challenges of data-intensive computing systems,
including canonical driving problems, research systems, and emerging technologies. Develop
a broad familiarity with the state of the art, including leading edge research in the area, and
hands-on experience with a range of systems which together provide a solid preparation for
research in the area.

Course Activites: 
- paper reading, presentation and discussion
- hands-on labs/projects with leading edge data-intensive computing systems
- invited speakers from leading companies and projects

Syllabus (subject to change)

Subpages (2): Class Notes Syllabus