CSE 490H: Problem Solving on Large Scale Clusters, Winter 2008
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Email

* The course mailing list is cse490h@cs, and will be created automatically from the list of registered students
* The instructor and TA's can be reached all together at cse490h-staff@cs.
* You may also contact any of the staff members directly via their email addresses above.

Credit options

This is a 3 credit Pass/Fail course. There will be a fairly large final project and no exams in this course.

Grading

  • 50% projects
  • 25% homework
  • 25% participation

Exams

No formal written exams are planned for this course. There will be no final exam (final projects will be due before final exam week).

Class participation

As a seminar course, students are expected to be actively involved during class. Assigned readings and associated questions must be completed *before* the beginning of lecture in the weeks listed in the schedule below, as they form the basis for class discussion. A significant amount of each lecture will be devoted to group discussions of the readings and related course material. All students are expected to contribute to every discussion. Participation also includes actively engaging in lab activities as well as working outside of class time; e.g., visiting office hours.

Homework

Homework will consist of a series of short reading comprehension questions about the assigned reading for the week. Readings will be between 10 and 40 pages/week. Reading assignments will be due at the start of lecture on the due date. These questions or related topics will be brought up during class discussions; therefore, thorough answers to homework questions will prepare you well for in-class discussion. All readings will be taken from materials placed on the course web site.

Labs and projects

During the first few weeks, one of the class periods will be dedicated to a short lab that will instruct you how to use Hadoop. You will complete project 0 during this lab. Further projects will be assigned for you to work on independantly, but extra help is always available from the course staff. Details on the final project will be available shortly.

Policies

Academic Integrity
It goes without saying that the University of Washington & CSE dept. codes of conduct and academic integrity policies will be strictly enforced in this class.
Late work
Late work may be handed in with a penalty of 20% for each day late. Individual extensions may be granted due to extenuating circumstances on a case-by-case basis. Students should see the instructor *well* ahead of time if this is necessary.

Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA  98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
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