CS 630: Advanced Artificial Intelligence Systems
Announcements: Check here regularly for announcements!
Welcome to CS 630!
Course description: This course is a continuation of Artificial Intelligence (CS 530). Emphasis is placed on advanced topics and the major areas of current research within the field. Theoretical and practical issues involved with developing large-scale systems are covered.
The focus of the spring 2011 offering will be on machine perception and reasoning (learning and inference).
Pre-requisites: CS 530 (Artificial Intelligence) or professor's consent.
Professor: Rebecca Bates (email@example.com)
Course Hours and Location
|Lectures: M 1-1:50pm||AH 223B|
|W 1-2:50pm||TR C 114|
|by appointment||1:30-3||3-4||1:30-3||by appointment|
Prof. Bates will also read and respond to email questions within 24 hours. You can usually expect responses to questions the same day if received prior to 10pm. If things that are useful for the entire class come up, they will be posted on the announcement section of the class webpage so check it regularly.
Required Text: Artificial Intelligence: A Modern Approach, 3rd ed., Stuart Russell & Peter Norvig, Prentice Hall, 2009, ISBN 0136042597.
Other readings will be made available online.
Tentative Topic List
Homework, lab and programming assignments, in-class work (including paper discussions): 25%
2 Midterm Exams: 35%
Final project: 40% (including written and oral presentations)
Midterm 1: Wednesday, February 23
Midterm 2: Wednesday, April 13
Project presentations will be done during the final week of the class.
Final project report due Wednesday, May 4
CS 630 Handouts and Assignments
Here is a listing of useful AI URLs (thanks to Prof. Roiger). The reference is listed below.
Majority taken from: Hamilton, M., Mitchell T., and Hamilton, C. (2003). AI Matures and Flourishes in North America. IEEE Intelligent Systems, July/August, 87-89.
Page last modified by R.A. Bates on 06/13/2013 06:38 PM.