CS 480/580: Artificial Intelligence

Syllabus for Fall, 2009

Call Numbers: 01334/01342
Professor: Cindy Marling
Office: Stocker 321D, Phone: 593-1246, Email: marling@ohio.edu
Office Hours: Mondays and Thursdays, from 9:00 to 11:00 AM, or by appointment
Class Time: Mondays, Tuesdays, Thursdays and Fridays, from 11:10 AM to 12:00 PM, in Convo 196
Prerequisites: CS 300/500N, Discrete Structures
Textbook: Artificial Intelligence: Structures and Strategies for Complex Problem Solving,
sixth edition
George F. Luger
Addison-Wesley, 2009
Home Page: The home page for CS 480/580 on the World Wide Web is:
http://ace.cs.ohiou.edu/~marling/cs480_580/cs480_580.html
Be sure to check here for important course information on a regular basis.
Overview: While Artificial Intelligence (AI) has many definitions, it is best thought of as the study of how to make computers do the things, which at present, people do better. This makes it a moving target, as computers become more and more capable, putting AI, by definition, at the cutting edge of computer technology. This course covers the fundamental underpinnings of AI, including knowledge representation and search. It also introduces AI applications and the AI programming languages, LISP and Prolog.
Outcomes: Each student will: learn the fundamental theory underlying knowledge representation and search; learn appropriate techniques and develop practical skills for implementing intelligent systems; gain experience programming intelligent systems in LISP and Prolog; and be exposed to contemporary issues in artificial intelligence research.
Grading for
CS 480:
Assignments (35%)
Midterm Exam (30%)
Final Exam (35%)
Grading for
CS 580:
Assignments (25%)
Advanced Assignments (10%)
Midterm Exam (30%)
Final Exam (35%)
Attendance
Policy:
Attendance will not be taken. It is assumed that students will miss class only for good cause. Students are responsible for all material presented in class.
Academic
Dishonesty
Policy:
All work must be the student's own. All external references used in reports must be properly cited. No credit will be given for duplicate or plagiarized work. Stronger measures, within the guidelines of the Student Handbook, may be taken when conditions warrant. The OU Student Code of Conduct Policy is available online at http://www.ohio.edu/judiciaries/conduct_policy.cfm
Other Policies: Be sure to notify the professor of any exam conflicts or other extenuating circumstances in advance. No late assignments will be accepted without prior approval. No missed exams will be made up without prior approval.
Final Exam: Tuesday, November 24, from 10:10 AM to 12:10 PM
H1N1 Emergency
Preparedness:
Should an emergency arise, remember that your health comes first. Course requirements are subject to modification in the event of circumstances beyond the professor's control.