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Welcome to CSE 473 in Autumn 2009!
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, constraint satisfaction, knowledge representation, machine learning, and machine vision.
Time ScheduleMWF 2:30-3:20 EEB 037
Final Exam: There will be no final exam. Just turn in Project 2.
InstructorLinda G. Shapiro (shapiro at cs.washington.edu)
Allen Center 634
Office Hours: MWF 1:30-2:20.
Teaching AssistantShulin Yang (Lynn) (yang at cs.washington.edu)
Allen Center 606
Office Hours: W 3:30-4:20 F 3:30-5:20 @ Allen Center 220.
CSE473 Mailing List:Please visit https://mailman.cs.washington.edu/mailman/listinfo/cse473 to subscribe to the class mailing list.
TextbookThe (required) textbook is Russell & Norvig "Artificial Intelligence: A Modern Approach," (Prentice Hall) 2nd edition (2003) with 3rd edition preview booklet (2009).
EvaluationThe grade will be based on a combination of the homework (exercises and programming projects), the quizzes, and the final. Roughly 50% homework, 25% quizzes, 25% 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 till the "Late Deadline" given. 10% off for the first week and then 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