CSE 473

Introduction to Artificial Intelligence

Credits
3.0
Lead Instructor
Luke Zettlemoyer
Textbook
Course Description
Principal ideas and developments in artificial intelligence: Problem solving and search, game playing, knowledge representation and reasoning, uncertainty, machine learning, natural language processing. Not open for credit to students who have completed CSE 415.
Prerequisites
CSE 326 or CSE 332; recommended: CSE 312; either STAT 390, or STAT 391.
CE Major Status
Selected Elective
Course Objectives
Mastery of the fundamental concepts and techniques of artificial intelligence.
ABET Outcomes
(a) an ability to apply knowledge of mathematics, science, and engineering
(c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
(l) knowledge of probability and statistics
(m) knowledge of discrete mathematics
Course Topics