CSE 327 AI Theory and Practice, Spring 2009
Professor Jeff Heflin
MWF 10:10am-11:00am, Maginnes 111
Check here for updates regarding the course.
- 4/29/09 - I have posted the solutions to Homework #7. I will return the graded homeworks before the final.
- 4/17/09 - Homework #7 was assigned today. It is due Friday, April 24.
- 4/8/09 - Homework #6 was assigned today. It is due Wednesday, April 15.
- 3/25/09 - I will be out of the office Wed., March 25 to Fri., March 27. I will not hold my office hours on Thursday, March 26, but the TA will hold additional hours from 4-5:30pm that day. His hours are in Packard Lab on the 6th floor (it is one room with many desks).
- 3/23/09 - Homework #5 was assigned today. It is due Monday, March 30.
- 3/9/09 - Homework #4 was assigned today. It is due Monday, March 16.
- 2/25/09 - I will not be holding office hours on Thursday, Feb. 26. Also, the lecture on Friday, Feb. 27 will be given by Ph.D. student Zhengxiang Pan.
- 2/23/09 - I posted the Solutions to HW #3 today.
- 2/20/09 - I have posted a Study Guide for the midterm, which is on Wednesday, Feb. 25.
- 2/13/09 - Homework #3 was assigned today. It is due Friday, Feb. 20.
- 2/6/09 - Homework #2 was assigned today. It is due Friday, Feb. 13.
- 1/30/09 - I will not be holding office hours on Feb. 2, as I will be leaving on a business trip immediately after class.
- 1/23/09 - Homework #1 was assigned today. It is due Friday, Jan. 30.
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:
Our examination of these problems will focus on various data structures and algorithms that have been proposed as solutions.
- How do you represent and reason with general-purpose knowledge?
- How can a robot or artificial agent formulate a plan to achieve a task?
- How can an agent make good decisions given uncertainty about its environment?
- How can an agent learn in order to improve its behavior or cope with unanticipated situations?
For details about course content, grading, and assignments, see the class syllabus.
Russell, Stuart and Peter Norvig, Artificial Intelligence: A Modern Approach (second edition). Prentice-Hall, New Jersey, 2003. ISBN 0-13-790395-2
Each of the homeworks will be made available here after they are
handed out in class. The online versions of the homework are in PDF format.
Your readings will be listed below as they are assigned. Unless otherwise specified, all readings are from our textbook, Artificial Intelligence: A Modern Approach.
|Read Ch. 1 (pp. 1-29)||1/14|
|Read Sect. 2.1-2.3 (pp. 32-44)||1/16|
|Read Sect. 2.4-2.5 (pp. 44-54)||1/19|
|Read Sect. 3.1-3.3 (pp. 59-73)||1/21|
|Read Sect. 3.4-3.5 (pp. 73-83)||1/23|
|Read Sect. 4.1 (pp. 94-105)||1/26|
|Read Sect. 4.2 (pp. 105-110)||1/28|
|Read Sect. 6.1-6.2 (pp. 161-167)||1/30|
|Read Sect. 6.4, 6.6-6.8 (pp. 171-175, 180-186)||2/2|
|Read Sect. 7.1-7.3 (pp. 194-204)||2/4|
|Read Sect. 7.4 (pp. 204-211)||2/6|
|Read Sect. 7.7 (pp. 225-227), 8.1 (pp. 240-244)||2/9|
|Read Sect. 8.2 (pp. 245-253)||2/13|
|Read Sect. 8.3-8.5 (pp. 253-266)||2/16|
|Read An Introduction to Prolog Programming by Ulle Endriss, Chapter 1 (pp. 1-12)||2/18|
|Read Sect. 9.1-9.2 (pp. 272-280)||2/20|
|Read Sect. 9.4 (pp. 287-298)||2/23|
|Read Sect. 10.1-10.2, 10.5-10.6 (pp. 320-328, 344-354)||2/27|
|Read Sect. 11.1-11.2 (pp. 375-387)||3/11|
|Read Sect. 11.3 (pp. 387-395)||3/15|
|Read Sect. 12.3, 12.6 (pp. 430-432, 445-449))||3/20|
|Read Sect. 13.1-13.2 (pp. 462-471)||3/23|
|Read Sect. 13.3-13.8 (pp. 471-486)||3/25|
|Read Sect. 14.1-14.2 (pp. 492-499)||3/30|
|Read Sect. 14.4 (pp. 504-510)||4/1|
|Read Sect. 15.1-15.2, 15.6 (pp. 537-549,568-577)||4/3|
|Read Sect. 16.1-16.3 (pp. 584-593)||4/6|
|Read Sect. 18.1-18.2 (pp. 649-653)||4/8|
|Read Sect. 19.1 (pp. 678-682 only)||4/10|
|Read Sect. 19.1 (pp. 683-686 only)||4/13|
|Read Sect. 20.5 (pp. 736-743 only)||4/15|
|Read Sect. 20.5 (pp. 744-748 only)||4/17|
|Read Sect. 22.1 - 22.2 (pp. 790-798)||4/20|
|Read Sect. 24.1 - 24.3 (pp. 863-873)||4/22|
|Skim Ch. 26 (pp. 947-964)||4/24|
Additional Class Materials
- Contains information on course content, grading, assignments, and office
- Supplemental Slides
- This directory contains the slides that I use in class. Note, these slides only cover part of the lecture, and should not be used as a substitute for it.
- An Introduction to Prolog Programming by Ulle Endriss
- Gives a light weight introduction to Prolog syntax, queries, and style.
- SWI-Prolog is free software. If you are using a personal machine, you can download SWI-Prolog from the web page listed below. If you are in a Lehigh computer lab, you should install it via the Lehigh Software page. A link to the online reference manual is also provided.
- Midterm Study Guide
- This document briefly discusses the format of the test, and provides a partial list of topics you need to know for the test. It also explicitly lists topics you do not need to know.
- Sample Prolog programs
- These are the examples that were shown in class
- Final Study Guide
- This document briefly discusses the format of the final, and provides a partial list of topics you need to know for the test. It also explicitly lists topics you do not need to know.