General Info

CPSC 433: Artificial Intelligence - General Information


Jörg Denzinger
Email: Phone: (403) 220-5574
Office: ICT 752 Office hours: T 12:30 - 14:00 or by appointment
Lectures:L01: TR 14:00 - 15:15 in SA 121


Dec 14:     Here are the results of the final exam and the course grades.
Dec 6:     Here is a list of questions that you should look at in preparation for the Final.
Dec 5:     There was a mixup regarding the definition of the lab slots on mondays and wednesdays. Please look at the description one more time (essentially two more slots have been added).
Nov 27:     Here are the times I am available for the demos of the teams. As before, send me an email with at least 3 of your prefered time slots.
Wednesday, Dec 7: 10:00, 13:00, 14:00, 15:00
Thursday, Dec 8: 10:00, 11:00, 12:00, 15:30.
Nov 25:     I have two alternative versions of the instance of your assignment problem that the Department has to solve. They are here and here.
Nov 7:     Here are the results of the Midterm.
Oct 27:     Here is a list of question that you should answer in preparation for the Midterm.
Oct 25:     A description of how an input file for your system looks like, what other input your system has to be able to accept and how the output of the system has to look like can be found here.
Oct 11:     As promissed in the lectures, here are the times available for the teams to meet with me before handing in your papers. Please send me an email indicating at least 3 possible times (and the order of your preference)!
Monday, Oct. 17: 10:00, 11:00, 12:00, 13:00, 14:00, 15:00
Tuesday, Oct. 18: 10:00, 12:00
Sep 29:     Starting Oct 4, the lectures for the course are in SA 121!
Aug 30:     Web site made public.
Jun 15:     Course web site started.

Description of the course

According to Calendar:
An examination of the objectives, key techniques and achievements of work on Artificial Intelligence in Computer Science.

According to me:
On overview on the different fields of AI and its history, an introduction to knowledge representation and knowledge processing, especially search as the key problem solving technique and the different search paradigms, and an overview (with some case studies) of the areas planing, learning and cooperation (this only if time permits).

Computer Science 313 and one of 349 or 449
Note that a basic understanding in logic is definitely required for this course (Philosophy 279 or 377 are prerequisites of CPSC 349 and 449, therefore they are not explicitely mentioned in the calendar)! Although we will introduce the basic concepts of how to process and solve problems described in logic in this course, knowing what logical formulas, propositions and calculi are and how a problem can be represented as a set of formulas is a must!


The main goals of the tutorials will be to help you in more deeply understanding the concepts presented in the lectures (providing more examples) and with your assignment.

to an explanation of the assessment of the students taking the course.

Last Change: 14/12/2005