CPSC 433: Artificial Intelligence - General Information

Instructor:

Jörg Denzinger
Email: denzinge@cpsc.ucalgary.ca	Phone: (403) 220-5574
Office: ICT 752	Office hours: TuTh 14:00 - 15:00 or by appointment
Lectures:	L01: TuTh 12:30 - 13:45 in ICT 116

News:

Dec. 19, 2017:		The results of the final exam (and the resulting grades for the whole course) are here.
Nov. 21, 2017:		As mentioned in class, here are the times available for the teams to do the demos of their systems to me. Please send me an email indicating at least 3 possible times (and the order of your preference)! Dec. 1: 11:00, 12:00, 13:00, 14:00, 15:00 Dec. 4: 11:00, 12:00, 13:00, 14:00, 15:00 Dec. 5: 11:00, 15:00 Dec. 6: 11:00, 12:00, 13:00, 14:00, 15:00 Dec. 7: 11:00
Nov. 16, 2017:		The two input files for the Department example instances you will have to send me the results from your system for are here and here.
Nov. 1, 2017:		The results of the midterm exam are here. Note that I report the numerical equivalents of the usual letter grades.
Oct. 25, 2017:		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. 7, 2017:		The following slots are still available: Thursday, Oct. 12: 11:00, 14:00 Friday, Oct 13: 11:00 Monday, Oct 16: 11:00, 14:00, 15:00 Tuesday, Oct 17: 15:00 Wednesday, Oct 18: 11:00, 12:00, 13:00, 14:00, 15:00
Oct. 4, 2017:		Here are the times available for the teams to meet with me before handing in your reports. Please send me an email indicating at least 3 possible times (and the order of your preference)! It would be nice, if the email also provides a list of the members of the team. Thursday, Oct. 12: 11:00, 14:00, 15:00 Friday, Oct 13: 11:00, 12:00, 13:00, 14:00, 15:00 Monday, Oct 16: 11:00, 12:00, 14:00, 15:00 Tuesday, Oct 17: 11:00, 15:00 Wednesday, Oct 18: 11:00, 12:00, 13:00, 14:00, 15:00
July 24, 2017:		All links should work now.
Mar. 3, 2017:		Course web site started. Only this page is public, so far.

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:
An 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).

Prerequisite:: 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 explicitly 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!

Labs/Tutorials

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.

The TAs can be reached via email at

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

Last Change: 19/12/2017