<b>Artificial Intelligence I</b>

CS 475 - Artificial Intelligence I

Objectives AI is a new and interesting field. Understanding what AI is all about (at a introductory level) and getting familiar with key concepts of AI (as many as time allows) are the two main objectives of this introductory course. There is no prerequisite for the course but some mathematical logic background and good programming skill in any language will be an assert.

Textbook: "AI - A Modern Approach" by Stuart J. Russel and Peter Norvig (Prentice Hall, 1997). The book will be used extensively during the course.

Class: SH 113, 2:35 pm - 3:50 pm, Tue. & Thu. Final on May 5, 2001, 3:30 pm - 5:30 pm

Instructor:

TA: (tentative)

Other sources:

"Logical Foundation of AI" by Michael R. Genesereth and Nils J. Nilsson, Morgan Kaufmann
"Computational Intelligence" by David Poole, Alan Mackworth, and Randy Goebel
"Artificial Intelligence - A New Synthesis" by Nils J. Nilsson, Morgan Kaufman

Class Policy

Students are strongly encouraged to attend class since material covered in class and not present in the textbook will be used in the tests and homeworks. Withdrawing must be done on time, in accordance with the university calendar.
The grade of I (incomplete) may be given only if you are unable to complete the course due to documented circumstances beyond your control that develop after the last day to withdraw from the course. Appropriate circumstances include illness and death or crisis in your immediate family. Consult the university catalog for regulations regarding the I grade. In no case will an I grade be assigned to avoid a grade of D or F in the course.
If you elect to be graded under the S/U option, you must declare your intention when registering for the course. All work in the class will be graded in a manner identical to that for students choosing the letter grade option. At the end of the semester, your final letter grade in the course will be used to assign either a S or an U. You must achieve a minimum grade of C in order to receive a grade of S.
It is expected that students follow the code of conduct stated in the University Student Handbook. Any violations of the code will result in a grade of F for the course, in addition to any further sanctions imposed by the university. Unless explicitly stated by the instructor, you are assumed to perform the assigned work by yourself, without any external collaboration. Note that a person copying an assignment is guilty of a violation of academic conduct, as is the person from whom the assignment was copied.
If you have or believe you have a disability and would benefit from accommodations, you may wish to self-identify. You can do so by providing documentation to the Office for Services for Students with Disabilities (SSD), located at Garcia Annex Room 102 (phone: 646-6840, TTY 646-1918). If you are already registered with the SSD Office and need accommodations please provide your "Accommodations Memo" from the SSD Office within the first two weeks of class. If you have a condition which may affect your ability to exit safely from the premises in an emergency or which may cause an emergency during class, you are encouraged to discuss this in confidence with the instructor and/or the Coordinator for SSD. Feel free to call Ms. Elva G. Telles, EEO/ADA & Employee Relations Director at 646-3333 with any questions about the Americans with Disabilities Act (ADA) and/or Section 504 of the Rehabilitation Act of 1973. All medical information will be held in strict confidence.

Grade: Computed based on the standard scale of 100 points

90% up	A
80% - 89%	B
70%v-79%	C
< 70%	D

two midterm (20% each),
final examination (30%),
homework assignments and projects (30%)

Syllabus: tentative.

We will follow the one semester course program of the book with the emphasis on knowledge representation and reasoning techniques and planning techniques. If time allows reading materials may be added. Likewise, some will be removed if time is insufficient At the very least, we will cover the following chapters:

Introduction (readings)
Intelligent Agents
Solving Problems by Searching
Informed Search Methods
Agents that Reasons Logically
First-Order Logic
Inference in First-Order Logic
Logical Reasoning Systems
Planning
Practical Planning
Planning and Acting
Uncertainty
Probabilistic Reasoning Systems

AI-Resources

AI - A Modern Approach (Russel & Norvig)

Reading for class

What is AI? by John McCarthy

Computing Machinery and Intelligence by Alan Turing

AI on the Web
Glossary of First-Order-Logic
American Association for Artifical Intelligence

Notes