CSCI 373 -- Artificial Intelligence, Spring 1998

Purpose

This course will cover the essential principles and the basic methods in core areas of artificial intelligence. Our focus will be on search, knowledge representation, and planning. Methods will be implemented using the C++ programming language. Emphasis will be on implementation and experimentation with the goal of building a robust intelligent agent.

Instructor

• Dr. Rebecca Bruce
• Office RBH 219
• Telephone No. 232-5166
• e-mail bruce@cs.unca.edu
• Office Hours: W 1:00-2:00pm & 5:00-6:00pm; F 10:00-11:00am
  • & by appointment (set up in e-mail)

Room

• MW 3:15-4:30, in Robinson Hall 217

Required Text

• Artificial Intelligence, a modern approach , by S. Russell & P. Norvig, Prentice Hall, 1995.

Grading scheme

To accommodate a diversity of backgrounds and interests, students in this class will have a choice between a programming-intensive grading scheme and a test-intensive grading scheme. In the programming-intensive grading scheme, students will be given three large programming projects each involving the development of an agent for the wumpus world. In the test-intensive grading scheme, students will also be given three programming assignments involving the development of an agent for the wumpus world, but the assignments will be of smaller scale. Students in both tracks will be expected to take all tests but the contribution of the average test grade to the final course grade will be much less in the case of the programming-intensive track.

• Programming Intensive

  Homework assignments	5%
  Programming Projects	70%
  Tests	5%
  Final Exam	20%

  
  
  
• Test Intensive

  Homework assignments	5%
  Programming Assignments	40%
  Tests	35%
  Final Exam	20%

Important Dates

Tentative Course Outline