GEORGE MASON UNIVERSITY
SPRING-2008
CS580 – Introduction to
Artificial Intelligence (3)
Professor Harry Wechsler
(SITE II - Rm. 461) wechsler@cs.gmu.edu
Class Information
001 113591 M (“Monday”) 4:30 p.m. – 7:10 p.m. ST120
Office Hours
Monday
3:15 – 4:00 PM or by appointment (SITE II - Rm. 461)
Textbook
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/
http://aima.eecs.berkeley.edu/slides-pdf/
Reference -
Johnson Center Library – Reserve Desk
Artificial
Intelligence (4th Edition) by George Luger, Addison Wesley,
2002
Recommended Readings
Graham P., ANSI Common Lisp,
Prentice Hall, ISBN: 0133708756, available on line.
http://aima.cs.berkeley.edu/ai.html#prolog
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.
Grading
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
CS 778
Graduate Certificate in Biometrics
http://cs.gmu.edu/programs/masters/MSCS-brochure.html
Doctoral
Dissertation