http:^^www.cs.washington.edu^education^courses^473^schedule.html

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Date: Mon, 02 Dec 1996 16:02:20 GMTServer: NCSA/1.4.2Content-type: text/html <html><TITLE>CSE 473 (Spring 1996) Tentative Schedule</TITLE><body><H1>CSE 473 (Spring 1996)<br>Tentative Schedule</h1> <P><DL><DT> Introduction: (1 meeting)<DD>  Overview of AI, Turing's test, Reasoning, Learning,and Communicating.<DT> Common Lisp:  (5 meetings)<DD>  Review of basics, examples, advanced features, introduction to CLOS, programming techniques.<DT> Knowledge representation: (3 meetings)<DD> ISA hierarchies<DD> Propositional and predicate logic<DD> Expressing knowledge using mathematical logic<DT> State-space search: (3 meetings)<DD> Iterative and recursive versions of depth-first search.<DD> Breadth-first, iterative deepening, best-first, uniform-cost, and A* search.<DD> Minimax and alpha-beta search.<DT> Logical reasoning: (3 meetings)<DD> Propositional calculus methods.<DD> Predicate calculus methods.<DT  Midterm exam: (1 meeting)<DT> Probabilistic reasoning: (1 meeting)<DD> Bayes' rule and its use in probabilistic inference nets.<DT> Case-based reasoning: (1 meeting)<DD> Matching, adaptation, and indexing.<DT> Planning: (1 meeting)<DD> STRIPS representation.<DD> World-space vs plan-space methods.<DT> Learning: (2 meetings)<DD> Building decision trees.<DD> Theory formation.<DT> Natural-language understanding: (1 meeting)<DD> Grammars, semantic representation, augmented transition nets.<DT> Vision: (4 meetings)<DD> Visual perception and illusions<DD> Image formation and representation, edge detection,Hough transform, shape description, line labeling.<DT> Neural nets: (1 meeting)<DD> Perceptrons and perceptron training.<DD> Multilayer feedforward nets and backpropagation.<DT> Expert systems: (2 meetings)<DD> Integration of AI techniques, Shells, Development process.<DT> Final exam.<HR><address>tanimoto@cs.washington.edu</address></html>

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