GEORGE MASON UNIVERSITY
CS580 – Introduction to Artificial Intelligence (3)
Professor Harry Wechsler
(SITE II - Rm. 461) email@example.com
001 113591 M (“Monday”) 4:30 p.m. – 7:10 p.m. ST120
Monday 3:15 – 4:00 PM or by appointment (SITE II - Rm. 461)
S. Russell and P. Norvig Artificial Intelligence: A Modern Approach, Prentice Hall, Second edition, ISBN: 0-13-790395-2, 2003.
Web site: http://aima.cs.berkeley.edu/
Reference - Johnson Center Library – Reserve Desk
Artificial Intelligence (4th Edition) by George Luger, Addison Wesley, 2002
Graham P., ANSI Common Lisp, Prentice Hall, ISBN: 0133708756, available on line.
Course Description ~ Syllabus
Artificial Intelligence (AI) is about the Science, Engineering, and Technology involved with the theory and practice of developing systems that exhibit the characteristics associated with intelligence in human behavior. The course presents basic AI principles and (“computer”) methods that address search and problem solving [with applications to game playing, and constraint satisfaction problems (CSP)], knowledge representation and reasoning [including resolution with refutation, reasoning with uncertainty and Bayesian (belief) Networks (BN), (symbolic, connectionist, and evolutionary) learning [including performance evaluation and error analysis], and communication [including natural language processing and perception]. LISP, PROLOG, and MATLAB are the AI programming languages of choice used to implement the methods learned during the course. The approach used throughout the course is to address specific intelligence tasks [relate to real-life problems], and motivate and describe their (algorithmic) solutions.
Homework ŕ 20 %
Midterm ŕ Thursday, March 17 ŕ 25 %
Computer Project [using LISP, PROLOG, or MATLAB] ŕ 25 %
[spring break ~ week of March 10]
Final ŕ Monday, May 12 ŕ 30 %
Follow – up
CS 688 Pattern Recognition and Neural Networks
CS 750 Data Mining
CS 775 / IT 844 – Advanced Pattern Recognition
Graduate Certificate in Biometrics