CSc 327: Artificial Intelligence

Spring 2002

Course Web Page: http://www.cse.lehigh.edu/~heflin/courses/ai-2002/

Professor TA
Name: Jeff Heflin Xu Ke
E-mail: heflin@cse.lehigh.edu kex2@lehigh.edu
Office: 330 Packard Lab 201A Packard Lab
Office Hours: Mon. 10:30-12pm, Thr. 2-3:30pm,
and by appointment
Tues. 3-5pm, Wed. 3-5pm
Phone: 610-758-6533
Web Page: http://www.eecs.lehigh.edu/~heflin/

Class Time and Location: Tue. and Thr. 9:20-10:35am, Christmas-Saucon Hall 201

Prerequisites: junior or above status, computer literacy, and the ability to understand algorithms

Description:
This course will provide a general introduction to Artificial Intelligence (AI). We will discuss what AI is, survey some of the major results in the field, and look at a few promising directions. In particular, we will seek answers to questions such as how do you represent and reason with knowledge? how can a robot or artificial agent formulate a plan to achieve a task? and how can an agent learn in order to improve its behavior or cope with unanticipated situations?

Textbook:
Russell, Stuart and Peter Norvig, Artificial Intelligence: A Modern Approach. Prentice-Hall, New Jersey, 1995.

Grading:
Homework assignments40%
Midterm exam20%
Final exam40%

Late Work Policy:
Unless a valid written medical excuse from a health professional is provided, late work will be docked one letter grade for each day that it is late.

Schedule:

This class schedule is tentative and may change depending on the pace at which we complete the material.

Date Topic Reading Assignments
Jan. 15,17 Introduction Chapters 1 and 2  
Jan. 22,24 Search Chapters 3 and 4
Jan. 29,31 Game Playing Chapter 5
Feb. 5,7 Logical Reasoning Chapter 6
Feb. 12 Pacing break
Feb. 14,19 First Order Logic Chapter 7 Homework #1 due Feb. 14
Feb. 21 Knowledge Representation Section 10.6,
The SHOE Specification
Feb. 26 Knowledge Bases Sections 8.1-8.4
Feb. 28 Midterm Exam
Mar. 5,7 Spring break
Mar. 12 Inference in First Order Logic Sections 9.1-9.5
Mar. 14,19 Prolog Section 10.3,
Endriss Chapter 1
Homework #2 due Mar. 14
Mar. 21,26 Planning Chapter 11
Mar. 28 Easter break
Apr. 2,4 Practical Planning Chapter 12
Apr. 9,11 Learning Chapter 18 Homework #3 due Apr. 9
Apr. 16 Neural Networks Sections 19.1-19.5
Apr. 18,23 Communicating Chapter 22
Apr. 25 Perception Sections 24.1-24.4, 24.7 Homework #4 due Apr. 25
Apr. 30 Lisp handouts
May 2 Review Chapter 27