CS533: Applied Artificial Intelligence for Engineers (Fall, 2000)

Course Description

A survey of artificial intelligence techniques applied to engineering problems. The techniques will include object-oriented programming, state-space search, machine learning (including neural networks), and Bayesian methods for reasoning under uncertainty. These techniques will be applied to problems of engineering design, diagnosis, scheduling, and computer vision. Students will also learn enough object-oriented programming skills in C++ to apply these techniques.

Prerequisites: Ability to write and understand moderate-sized programs in C or Pascal, experience with a windowing environment (preferably HP UNIX), differential calculus and probability.

Name: CS533

Credits: 4

CRN: 15776 MWF 1000-1050 ROGERS Hall Room 440


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Course Handouts

Homework Assignments

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Programming Assignments

Viewgraphs for Lectures


Tom Dietterich, tgd@cs.orst.edu