Fall 2004: Tuesdays and Thursdays
Instructor: Prof. Khaled Rasheed
Telephone: 542-3444
Office Hours: Monday:
Office Location: Room 219B, Boyd GSRC
Email: khaled@cs.uga.edu
Teaching Assistant: Bo Qian
Office Hours: Thursday:
Location: Room 307, Boyd GSRC
Email: qian@cs.uga.edu
To provide a broad introduction to the field of Artificial Intelligence (AI). The course is appropriate both for nonspecialists who wish to acquire a general understanding of the field, and for students preparing for more advanced courses or research in Artificial Intelligence.
Familiarity with first-order logic, basic graph representations and algorithms, complexity and at least one high level programming language.
Goals of the Artificial Intelligence field; Core topics of AI, including search, knowledge representation, reasoning, planning and learning; Applications of AI selected from among the following: machine vision, natural language processing, robotics and cognitive modeling; other advanced topics.
All students are responsible for maintaining the highest standards of honesty and integrity in every phase of their academic careers. The penalties for academic dishonesty are severe and ignorance is not an acceptable defense.
· Problem Sets: 30 %
· Midterm Examinations: 20+20 %
· Final Examination: 30 %
The above distribution is only tentative and may change later. The instructor
will announce any changes.
Homework must be turned in by the assigned deadline. Late homework will not be accepted. Rare exceptions may be made by the instructor only under extenuating circumstances and in accordance with the university policies.
A variety of materials will be made available on the AI Class Home-page at http://www.cs.uga.edu/~khaled/AIcourse/, including assignments. Announcements may be posted between class meetings. You are responsible for being aware of whatever information is posted there.
Copies of some of Dr. Rasheed's lecture notes will be available at the bottom of the class home page. Not all the lectures will have electronic notes though and the students should be prepared to take notes inside the lecture at any time.
· Artificial Intelligence: A Modern Approach, Russell and Norvig, Prentice-Hall, second edition, 2003. (Required.)
· Essentials of Artificial Intelligence, Ginsberg, Morgan Kaufmann, 1993.
· Artificial Intelligence, Winston, Addison-Wesley, 3rd ed., 1992.
· Artificial Intelligence, 2nd Edition, Rich and Knight, McGraw-Hill, 1990.
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