CSCI486: Artificial Intelligence

Spring 2004

I. Course prefix and number CSCI 486
II. Number of semesters hours 3
III. Pre-requisites CSCI250 Data Structures and MATH369 Discrete Structures I
IV. Location of classroom and time course meets Houstan 102 TH 12:30PM 1:45PM
V. Instructor name
Office location
Phone
Email address
Web page
Dr. Warren MacEvoy
Wubben 186
248-1070
[email protected]
http://www.mesastate.edu/~wmacevoy
VI. Office hours See my home page
VII. Course Description

We will learn about the field of artificial intelligence.

VIII. Textbook and materials Artificial Intelligence, A Modern Approach, 2nd ed., by Russell and Norvig. This is different from last year's book
IX. Course Objectives See course description.

X. Methods

Lecture, exams, individual and group projects. Mostly projects.

XI. Policy on absences and tardies

Make up exams will only be given with advanced notification or very unusual circumstances. You are responsible for material given in class, including changes of schedule for exams.

XII. Policy on late work

Late projects cost two letter grades per day.

XIII. Policy on academic dishonesty

Cheating will result in the instructor's withdrawl of the student with a "fail" grade.

XIV. Disability Arrangements

If you wish to have accomodations made for some disability, you must inform Eduational Access Services at 248-1826 and the instructor in advance.

XV. Evaluation and grading

25% of the grade will be from lecture-type material. 50% of the grade will be from projects. 25% of the grade will be from the final project.

Projects will be graded on an A, B, or F basis:

  • A: Well written and documented, with more bells and whistles than required for the project. Testing procedures must be included with the project.
  • B: Works correctly. Reasonably written. Reasonably documented. Reasonably tested.
  • F: Fails to work. Poorly written, documented, or tested.

You must propose your final project content. The grade will reflect individual contributions to the project. The final project will include a written and oral presentation.

XVI. Major Assignments

TBD

XVII. Course Outline
  1. Background
  2. Searching
  3. Knowledge and Reasoning
  4. Learning