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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 virtual Zoom meeting

News:

Dec. 1, 2020:     Set all the required parameters to 1 when you run the two Department examples to produce the results you have to send to me.
Nov. 20, 2020:     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. 2, 2020:     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. 21, 2020:     The slides used for the CSP control example are here
Oct. 14, 2020:     Here are the times available for the teams to meet with me (via Zoom) 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.
Friday, Oct 23: 10:00, 11:00, 12:00, 13:00
Monday, Oct 26: 10:00, 11:00, 12:00, 13:00, 14:00, 15:00
Tuesday, Oct 27: 10:00, 11:00, 14:00, 15:00
Wednesday, Oct 28: 10:00, 11:00, 12:00, 13:00, 14:00, 15:00
Oct, 13, 2020:     The deadline for the team paper has been moved to Oct. 30th.
Aug. 26, 2020:     Course outline approved, therefore all links are now online.
Jun. 24, 2020:     Adjustment of delivery method:
Zoom link and password will be send to each registered student on September 7, 2020 via email using the email address given by the student in PeopleSoft.
Apr. 23, 2020:     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 PHIL 279 or 377
Note that prior or concurrent completion of Computer Science 349 or 449 is strongly recommended as preparation for this course.

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.


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

Last Change: 1/12/2020