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Welcome to CSE 473 in Spring 2010!
ObjectivesThis class will provide an introduction to Artificial Intelligence, explaining the challenges inherent in building an "intelligent system" and describing the main techniques and tools. We will focus on search, knowledge representation, logical and probabilistic inference, machine learning, and image understanding.
Time ScheduleMWF 9:30-10:20 MGH 231
InstructorSteven L. Tanimoto (tanimoto at cs.washington.edu)
Allen Center 638
Office Hours: MF 1:30-2:20.
Teaching AssistantsDavid Broderick (dbroder at cs.washington.edu)
Office Hours: Tues, Wed 1:30-2:20 in Allen Center Room 220
David Bai (dbai at cs.washington.edu)
CSE473 Mailing List:Please visit https://mailman.cs.washington.edu/mailman/listinfo/cse473 to subscribe to the class mailing list.
ReadingsThe (required) readings are PDF files provided by the instructor. Recommended supplemental reading can be found in: Artificial Intelligence: A Modern Approach (Prentice Hall) 3rd edition.
EvaluationThe grade will be based on a combination of the homework (exercises and programming projects), the midterm, and the final. Roughly 60% homework, 10% participation, 15% quizzes, 15% final.
Late Problem SetsLate problem sets may be turned in until the homework is graded and returned. 10% off per day late.
Late ProgramsLate programs can be turned in until the "Late Deadline" given. There will normally be a penalty of 10% per day late.
Cheating PolicyCollaboration is a very good thing, but cheating is considered a very serious offense. Please don't do it! The individual work you turn in should not look like anyone else's. Concern about cheating creates an unpleasant environment for everyone. If you cheat, you risk losing your position as a student in the department and the college. The department's policy on cheating is to report any cases to the college cheating committee.
Computer Science & Engineering|
University of Washington
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
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