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CS 470/670 Artificial Intelligence
Course Syllabus
Spring 2024


Instructor: Dr. Wei Ding
Office: M-3-201-7, 3rd floor
Email: wei.ding@umb.edu
URL: http://www.cs.umb.edu/~ding/classes/470_670/
Class Schedule:M W 4:00 - 5:15 PM,  University Hall, Y02-2120
Pre-requisites: CS220 and CS310 for CS470
CS310 and CS320L or CS220 or Math320L and Math470 for CS670
or permission of the instructor.
Office Hours: Monday 3:00 PM - 4:00 PM
Wednesday 3:00 PM - 4:00 PM
TA: Haowen Guan
E-mail: haowen.guan001@umb.edu
Office Hours: Room M-03-150
Wednesday 2:00 PM - 3:00 PM
Thursday 2:00 PM - 3:00 PM

Mahsa Geshvadi
E-mail: mahsa.geshvadi001@umb.edu
Office Hours: Room M 03-0164
Monday 5:30 PM - 6:30 PM
Tuesday 2:00 PM - 3:00 PM

TEXT BOOK

Artificial Intelligence: A Modern Approach Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig
Prentice Hall (4th edition)
ISBN: ISBN 978-0134610993
Published: 2021

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

COURSE GOALS

  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. To learn uncertain knowledge and reasoning
  4. Become familiar with the statistical learning methods
  5. To develop skills of using Artificial Intelligence algorithms for solving practical problems

METHODOLOGY

Lecture and interactive problem solving.

APPRAISAL

Participation: 10% of the total
Individual Assignments (graduate students will have one more assignment than undergraduate students): 30% of the total
Term Project: 30% of the total
Examination (1 exam): 30% of the total

GRADING

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

READING

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.

OTHER POLICIES

  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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