Instructor: Prof. Harry Wechsler firstname.lastname@example.org
Course Description – Principles and methods for knowledge representation, problem solving, heuristic search, reasoning, learning, probabilistic reasoning, natural language processing, vision, and their application to building intelligent systems in a variety of domains.
Time, Day, and Venue: R – Thursday, 4:30 pm - 7:10 pm,
Robinson Hall 111
First day of classes: Thursday, January 27
Spring Break [March 14 – 20]: no class on Thursday, March 17
Last day of classes: Thursday, May 5
Final Exam: Thursday, May 12, 4:30 – 7:15 pm
Office Hours: Thursday, 3:00 pm – 4:00 pm (ENGR - 4448)
Textbook: Artificial Intelligence: A Modern Approach, Russell and Norvig (3rd ed.), Prentice Hall, 2010.
Textbook Website: http://aima.cs.berkeley.edu/
Textbook Slides: http://aima.eecs.berkeley.edu/slides-pdf/
· Homework – 30%
· Mid Term – Thursday, March 24 – 30 %
· Final – Thursday, May 12 - 40 %
You are expected to abide by the GMU honor code. Homework assignments and exams are individual efforts. Information on the university honor code can be found at http://academicintegrity.gmu.edu/honorcode/.
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies