COMPSCI 367/761: Artificial Intelligence
In this course, you will cover the acquisition, representation, and use of knowledge. These are the cornerstones of AI. You will investigate how to take a real world problem and represent it in a computer so that the computer can undertake inference. Using this knowledge, or acquiring new knowledge, is done by search. The basics of search and its use in planning will be covered. Machine learning will be covered, including the difference between induction and deduction and the similarities between machine learning and optimisation.
Please click on "Course Website" to find other information about the course. Please click for the COURSE INFORMATION sheet.
Mike Barley's lectures
Course summary:
| Date | Details | Due |
|---|---|---|
| Fri, 4 Aug 2017 | Assignment For 761 students only: Planning your research report, in Room 260-201, 2pm-3pm, Fri 4 Aug | due by 14:00 |
| Thu, 10 Aug 2017 | Assignment For 761 students only: Planning your research report, 2pm-3pm, Thu 10 Aug, room 260-223 | due by 14:00 |
| Sun, 20 Aug 2017 | Assignment Assignment 1 - Knowledge Engineering | due by 23:59 |
| Assignment For 761 students only: topic registration | due by 23:59 | |
| Sun, 1 Oct 2017 | Assignment Assignment 2 - Machine Learning | due by 23:59 |
| Sun, 15 Oct 2017 | Assignment For 761 students only: final report | due by 23:59 |
| Mon, 23 Oct 2017 | Assignment Assignment 3 - Prolog & Search | due by 23:59 |
| Assignment final exam |
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