CSCI/PHIL 4550/6550 Artificial Intelligence

Fall 2007: Tuesdays and Thursdays 2:00pm - 3:15pm, Conner Hall 212

Instructor: Prof. Khaled Rasheed
Telephone: 542-3444
Office Hours: Wednesday: 4:35-6:00pm & Thursday: 12:30-1:30pm or by email appointment
Office Location: Room 219B, Boyd GSRC
Email: khaled@cs.uga.edu

Teaching Assistant: Boseon Byeon
Office Hours: Thursday: 12:30pm-1:30pm
Office Location: Room 538, Boyd GSRC
Email: bbyeon@uga.edu

Objectives:

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.

Recommended Background:

Familiarity with first-order logic, basic graph representations and algorithms, complexity and programming.

Topics to be Covered:

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, and robotics; other advanced topics.

Expected Work:

Reading; problem sets; quizzes, two midterms and a final examination. (Unless otherwise announced by the instructor: all problem set solutions and all exams must be done entirely on your own.)

Academic Honesty and Integrity:

All academic work must meet the standards contained in "A Culture of Honesty." Students are responsible for informing themselves about those standards before performing any academic work. The penalties for academic dishonesty are severe and ignorance is not an acceptable defense.

Grading Policy:

  • 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 Submission Policy

    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.

    Course Home-page

    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.

    Lecture Notes

    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.

    Textbook in Bookstore

  • Artificial Intelligence: A Modern Approach, Russell and Norvig, Prentice-Hall, second edition, 2003. (Required.)

    Additional Books

  • 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.

    The course syllabus is a general plan for the course; deviations announced to the class by the instructor may be necessary.

  • Last modified: December 11, 2007.
    Khaled Rasheed (khaled (at) cs.uga.edu)