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CPSC 420-502 Artificial Intelligence:
Fall 2002

Syllabus

Undergraduate

Instructor:

Dr. Yoonsuck Choe
Email: choe(a)tamu.edu
Office: HRBB 322B
Phone: 845-5466
Office hours: MWF 1:30-2:30PM, and other times by appointment.

TA:

Dwi Widyantoro
Email: dhw7942(a)cs.tamu.edu
Office: HRBB 326
Phone: 845-8865
Office hours: T/W/TH 2:30pm-3:30pm, HRBB 326.

Prerequisite/Restrictions:

CPSC 311

Lectures:

MWF 10:20-11:10 Zach 105B

Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, New Jersey, 1995.
ISBN 0-13-103805-2
Book Homepage

1. Computer accounts: if you do not have a unix account, ask for one on the CS web page. We will be using the GNU Common Lisp as our main language. You can choose your own language to use for the assignments, but you have to first get permission from the instructor.
2. GNU Common Lisp:

   Installed in /usr/local/bin/gcl on all CS unix machines (robert, dogbert, etc.).

1. Grodon Novak's AI Course and Risto Miikkulainen's AI Course at the University of Texas at Austin (CS381K).

   * many ideas in the current lectures were borrowed from these courses

2. LISP online manual from the book Common Lisp, the Language (NEW: 2/3/02)
3. LISP quick reference
4. GCL manual (very in-depth and technical).
5. GNU Common Lisp
6. Lisp resources
7. CPSC 320 : Dr. Daugherty's course page, by Lydia Tapia (your TA). this course)
8. My general resources page

1. Little wings, big flap: insect flight.

Fall Semester 2002 ^*

August 28-30	Wednesday-Friday. Registration.
August 30	Friday. Last day to register for fall semester classes and pay fees.
September 2	Monday. First day of fall semester classes.
September 5	Thursday. Last day for dropping courses with no record.
September 6	Friday. Last day for adding courses for the fall semester.
September 13	Friday. Last day to apply for all degrees to be awarded in December.
October 3	Thursday. Academic Convocation. Classes will be held.
October 21	Monday. Mid-semester grades due in Registrar’s Office, noon.
November 8	Friday. Last day for all students to drop courses with no penalty (Q-Drop). Last day to change Kinesiology 198/199 to S/U grade on BONFIRE. Last day to officially withdraw from the University.
November 11 - December 12	Monday-Thursday. Pre-registration for 2003 spring semester.
November 28-29	Thursday-Friday. Thanksgiving. Faculty and staff holiday.
December 9	Monday. Redefined day, students attend their Friday classes. Dead day, classes meet but no major exams.
December 10	Tuesday. Last day of fall semester classes. Redefined day, students attend their Thursday classes. Dead day, classes meet but no major exams.
December 11-12	Wednesday-Thursday. Reading days, no classes.
December 13, 16-18	Friday, Monday-Wednesday. Fall semester final examinations for all students.
December 20**	Friday. Final grades for all students due in Registrar’s Office, noon. Last day for undergraduate degree candidates for December to apply for $1000 Tuition Rebate, 5:00pm.
December 20-21	Friday-Saturday. Commencement and Commissioning.
December 23-31	Monday-Tuesday. Faculty and staff holiday.

*All dates and times are subject to change.
**To have sufficient time to process grades and send data to deans and students, all final grades need to be received by noon on this date.
Approved 2/12/2002 (OAR)

1. Week 1:
   Chapter 1 up till and including 1.2 :required
   Section 1.3-end of chapter 1: optional
   Chapter 26 pp. 817-824 (up till, but not including mathematical objections): required
   Sections 26.4-end of chapter 26: required.
2. Week 2 : Lisp quick reference : required
   Quick reference
   * I recommend that you try out the examples in the reference guide using gcl on the departmental unix machines.

   Lisp drill (symbolic differentiation): handout will be available in class during week 2.

   Here's a small example that will help you get started:

   Create a file "test.lsp" containing this line:
   
   	(defun mysqr (x) (* x x))
   
   and save it. Then, run gcl and load it like below, and then
   run the newly defined function mysqr.
   
   -------------------------------
   
   >(load "test.lsp")
   Loading test.lsp
   Finished loading test.lsp
   T
   
   >(mysqr 100)
   10000
   
   >(mysqr 5)
   25
   
   >(bye)
   

3. Week 3 :
   Chapter 3: sections 3.3-3.7 (required)
   Other sections: optional
   Chapter 4: upto, and including 4.2 (required).
4. Week 4 :
   Chapter 4: 4.3--4.5 (required)
   Chapter 5: 5.1--5.3 (required)
   Chapter 5: 5.4--5.8 (required)
   
5. Week 5 :
   Chapter 6: 6.3-6.4 (required)
   See Chapter 9 for theorem proving (optional; this lectures will cover these techniques applied to propositional logic) Project 1: 8-puzzle with various search methods
6. Week 6 :
   Chapter 7: 7.1--7.3 (required)
   
7. Week 7 :
   Chapter 9: required Chapter 10 sections 10.1, 10.2, and 10.4: required
8. Week 8 :
   Chapter 10: required
9. Week 9 :
   Chapter 14: required
   
10. Week 10 :
    Chapter 15: required
    
11. Week 11 :
    Chapter 19: required
12. Week 12 :
    Chapter 19: required
13. Week 13 :
    Chapter 18 (18.1-18.5): required
14. Week 14 :
    Final exam review. -->

* When reading the chapters, you do not have to memorize everything. A separate list of terms you need to know will be handed out prior to each exam. *

1. Assignment #1: see slide05-under.pdf, page 16.
2. Project #1: due 10/21 in class.
3. Assignment #2: see slide22-under.pdf. The due is 11/20 in class.
4. Project #2: project2.pdf, due 12/17/2002, 8am.

1. 1 point per each seminar or talk you attend, up to 5 points out of 100 scaled total.
2. Seminar topic should be related to AI in general.
3. Submit two paragraphs: first paragraph summarizing the seminar, and the second paragraph including your thoughts (why was it interesting? any new ideas you have? etc.)
4. Either type and print or write up and submit to the instructor in the class immediately following the seminar.
5. Seminars:
   • CS department seminar page
   • AI/Robotics seminar
   • Cognoscienti: cognitive psychology seminar.