Instructor: Prof. Harry Wechsler wechsler@gmu.edu
Course Description –
This course will cover several advanced topics
in Artificial Intelligence beyond those covered in CS580. These topics will
extend existing knowledge about search, machine learning, reasoning and
communication. Topics may include pattern recognition, neural networks, and
statistical learning; modeling, prediction, and performance evaluation;
probabilistic reasoning; intelligent search, evolutionary computation, and
emergent behavior; natural language processing, speech, and vision; data,
knowledge, control, and action. Motivation and applications for the topics
discussed are an integral part of the course.
Examples of applications can include agents, bioinformatics, biometrics,
data mining, information and knowledge management, security. Course is based on
textbook, slides, class notes, and electronic communication. AI is a
breadth-oriented field, and the goal of this course is to provide the student
with sufficient breadth beyond CS580 to act as a well-versed AI researcher.
Informally, CS580 + CS687 typically cover all the topics that might show up on
the Ph.D. Qualifying Exam.
Time, Day, and Venue: T – Tuesday, 7:20 pm - 10:00 pm,
Innovation
Hall 134
http://registrar.gmu.edu/calendars/2011Spring.html
First day
of classes: Tuesday, January 25
Spring
Break [March 14 – 20]: no class on Tuesday, March 15
Last day of classes: Tuesday, May 3
http://registrar.gmu.edu/calendars/2011SpringExam.html
Final Exam: Tuesday, May 17, 7:30 –
10:15 pm
Office Hours: Tuesday, 6:15 pm – 7:15 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
– 20%
·
Mid
Term – Tuesday, March 22 – 20 %
·
Term
(Team) Project – 40 %
·
Final – Tuesday, May 17 - 20 %
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