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.

Ian Watson's lectures

Jiamou Liu's lectures

Mike Barley's lectures

Tutorials