COMP3411: Artificial Intelligence

Prerequisites:

This course was a pretty interesting course overall, but didn't go into enough depth. Instead, we covered a lot of topics very briefly, which ended up leaving me somewhat starved for depth. A good introduction to different parts of the broad topic that is AI, but not very interesting if you're looking to go into certain topics a lot, and requiring a fair bit of calculation. The multiple choice format for the final was for quicker marking (now that trimesters force it), and was pretty well executed, but the previous written exams seemed to suit the course a lot more, and allowed them to test your understanding of the content better, beyond just being able to calculate the required quantities. Dr. Blair was a somewhat dry lecturer, which made the lecture slides easier to go through, but the content on OpenLearning was sufficient anyway.

1x 3hr Lecture, 1x 1hr Tutorial

3/5

Yes - screen and voice recorded.

Dr. Alan Blair

Notes on OpenLearning broken up into modules covering all the content. Lecture slides uploaded. Tutorial problems and solutions online. Sample final exam provided, but not in multiple choice format (from a previous session).

3/5

Note: I don't use textbooks and can't comment on their usefulness. None prescribed, but useful references:

2019 T1

93 HD