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| General Info |
| News |
| Description |
| Labs |
| Assessment |
| Materials |
| Assignments |
| Timetable |
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 ST 141 |
News:
| Nov. 28, 2023: | Here are the slides with the solution to knowledge representation with Neural Networks. | |
| Nov. 26, 2023: | 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. Set all the required parameters to 1 to produce the results. |
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| Nov. 15, 2023: | Here are the times available for the teams
to do the demos of their systems to me (in the undergraduate
lab). Please send me an email indicating at least 3
possible times (and the order of your preference)! Nov. 29: 10:00, 11:00, 12:00, 13:00, 14:00, 15:00 Dec. 1: 10:00, 11:00, 12:00, 13:00, 14:00 |
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| Nov. 15, 2023: | Here are the slides with the solution to knowledge representation with Semantic Networks. | |
| Nov. 7, 2023: | Here are the slides with the solution to knowledge representation with frames (XML). | |
| Nov. 2, 2023: | Here are the slides with the solutions to knowledge representation with rules. | |
| Oct. 30, 2023: | 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. 25, 2023: | Here are the slides with the solutions to knowledge representation with logic. | |
| Oct. 10, 2023: | Here are the slides with the solutions to or-tree-based search. | |
| Oct. 9, 2023: | Here are the
times available for the teams to meet with me (in front of
my office) 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 20: 10:00, 11:00, 12:00 Tuesday, Oct 24: 14:00 Wednesday, Oct 25: 10:00, 11:00, 12:00, 13:00, 14:00, 15:00 |
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| Oct. 4, 2023: | Here are the slides with the solutions to and-tree-based search. | |
| Sep. 21, 2023: | Here are the slides with the solutions to set-based search. | |
| Aug. 8, 2023: | All links are public, now. | |
| Jun. 6, 2023: | 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:
- One of Computer Science 313 or 351 and one of PHIL 279 or 377
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.
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to an explanation of the assessment of the students taking the course. |
Last Change: 28/11/2023