CIS 479 Artificial Intelligence

Spring 2004

Bruce R. Maxim, PhD Associate Professor Office: 120 ELB Phone: 436-9155 e-mail: bmaxim@umich.edu

Classroom: 1410 PEC Meeting Time: 6:00-9:00 MW Office Hours: 4:30-6:00 MW

This course is intended to provide an overview of the problems and methods studied in the field of artificial intelligence. The focus of the course will be on the study of methods of knowledge representation, data structures, and algorithms useful to the development of intelligent programs. The course will also include discussion of important applications of AI methodology.

Your scores on the projects and exams will determine your grade in this course. There will be three exams, including a final exam, an oral presentation, and 4 lab projects using several AI tools (including LISP), not all of which will require the development of complete programs from scratch. The exams will count for 50% of your grade and the projects 50%. Late work will be penalized, as will evidence of cheating in any form.

Texts: Artificial Intelligence (4th Edition) by G. Luger,

Addison-Wesley, 2002. (Required)

Lisp (3rd Edition) by P. Winston and B. Horn, Addison-

Wesley, 1989. (Required)

URL: www.engin.umd.umich.edu/CIS/course.des/cis479.html

Date	Topic	Reading
05-10	Lisp: Primitives, Predicates, and Conditionals	L1,W1-W4
05-12	Lisp: Iteration, I/O, Recursion, Data Structures, and Macros	W5-W12,W17
05-17	Intelligent Search	L3-L5,W19
05-19	Game Playing Project 1 due	L4-L5
05-24	Production Systems and Matching Expert Systems	L5,W24 L7,W25-W27
05-26	Uncertainty Probabilistic Reasoning	L8
05-31	Memorial Day Holiday
06-02	Exam 1 Knowledge Engineering Tools	Notes
06-07	Project 2 due Predicate Logic Prolog	L2 L14
06-09	Knowledge Representation	L6
06-14	Planning Intelligent Agents and SOAR	L12 L6,L16
06-16	Machine Learning Neural Networks	L9 L10
06-21	Project 3 due Genetic Algorithms	L11
06-23	Natural Language Understanding Object-Oriented AI	L13 L15,L16
06-28	Exam 2 Project 4 due
06-30	Oral Presentations (5:30 - 7:30pm)