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This 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, planning, machine learning, and reasoning about uncertainty. After taking the class you will know how to use machine learning to build a spam filter, build a simple expert system using Bayesian reasoning, and build a powerful game-playing program.
Class schedule: M, W, F 9:30-10:20, room EE1 037
Instructor: Dan Weld (weld at cs)
CSE473 Mailing List: Please subscribe to the class mailing list.
Textbook: The (required) textbook is Russell & Norvig "AI a Modern Approach," (Prentice Hall) 2nd edition, 2003. (Note: this book is much improved over the previous edition). We may also assign readings off the WWW.
Grading: Your final grade will be assigned based on the following (tentative weighting):
Late Policy: Unless otherwise indicated, assignments and projects are due by the start of lecture on their due date. If you hand in an assignment more than one hour late, we will take off 20% for each day (or portion thereof) that it is late. So, if an assignment is due on April 16, it must be in the TA or lecturer's hands by 9:30am (start of class) on that day, with a one hour grace period after that. In addition, we will waive one days worth of late penalties over the courseof the quarter. At quarters end, we will not give Incompletes as grades.
Cheating Vs. Collaborating Guidelines: Collaboration is a very good thing. On the other hand, cheating is considered a very serious offense. Please don't do it! 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. What follows afterwards is not fun.
So how do you draw the line between collaboration and cheating? Here's a reasonable set of ground rules. Failure to understand and follow these rules will constitute cheating, and will be dealt with as per University guidelines.
Computer Science & Engineering|
University of Washington
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
[comments to Krzysztof Gajos]