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CS 470/670 Artificial Intelligence
Course Syllabus
Fall 2010

Instructor: Dr. Wei Ding
Office: S-3-167, Science Building , 3rd floor
Class Schedule:MW 4:00 - 5:15 PM,  McCormack M2-0417, McCormack building, 2nd floor
Pre-requisites: CS320L and CS450 for CS470
CS310 and CS320L and Math470 for CS670
or permission of the instructor.
Office Hours: Monday 2:30 PM - 4:00 PM
Wednesday 2:30 PM - 4:00 PM
TA: Ms. Siyi Liu
Office: KDlab S-3-158A
Office Hours: Monday:1:30PM-2:30PM, Wednesday:1:30PM-2:30PM


Artificial Intelligence: A Modern Approach Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig
Prentice Hall (3rd edition)
ISBN: 0136042597 1132 pages
Published: 2009

Course Supplementary Material:
Online material repository to accompany the textbook.


Introduction to Data Mining Introduction to Data Mining
by Pang-Ning Tan and Michael Steinbach and Vipin Kumar
Addison Wesley
ISBN: 0-321-321136-7 769 pages
Published: 2006


  1. To gain familiarity with the foundations and the history of Artificial Intelligence
  2. To learn how to solve problems by various searching strategies
  3. Become familiar with the statistical learning method classification
  4. To develop skills of using Artificial Intelligence algorithms for solving practical problems


Lecture and interactive problem solving.


Participation: 5% of the total
Programming Assignments (CS 470: 4 assignments, CS 670: 5 assignments): 65% of the total
Examination (1 exam): 30% of the total


91+ = A; 89+ = A-;
87+ = B+; 83+ = B; 80+ = B-;
77+ = C+; 73+ = C; 70+ = C-;
67+ = D+; 63+ = D; 60+ = D-;
0+ = F;


We will read from the recommended text book, various sources on the web, and slides that will be made available on the web site. The schedule for the readings are given on the schedule web page.


  1. Homework:
  2. Providing answers for any examination when not specifically authorized by the instructor to do so, or, informing any person or persons of the contents of any examination prior to the time the examination is given is considered cheating.
  3. Penalty for cheating will be extremely severe. Use your best judgment. If you are not sure about certain activities, consult the instructor. Standard academic honesty procedure will be followed for cheating and active cheating automatically results F in the final grade. Please check University Policy on Academic Standards and Cheating for additional information.
  4. You are expected to come fully prepared to every class.
  5. No incomplete grade under nearly all situations.
  6. There is no formal attendance policy. However, you are responsible for everything discussed in class. You may receive a zero for lack of participation.
  7. Pay very careful attention to your email correspondence. It reflects on your communication skills. Avoid using non-standard English such as "how r u?" in your email message. In addition, I recommend you put the class number 470/670 and a brief summary of your question in your email subject. For example,

    Subject: CS470/670 A question on heuristic search.

  8. I immediately discard anonymous emails.
  9. The ringing, beeping, buzzing of cell phones, watches, and/or pagers during class time is extremely rude and disruptive to your fellow students and to the class flow. Please turn off all cell phones, watches, and pagers prior to the start of class.

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