Instructor: Jackie Chi Kit Cheung
Time: Mondays and Wednesdays, 4:00pm – 5:30pm
Location: McConnell 204
Overflow Room: Trottier 2100
Office hours: Fridays, 3:00pm – 5:00pm
Office hours location: McConnell 108N
This course presents an introduction to the the field of artificial intelligence. Topics covered include: Search methods, knowledge representation using logic and probability, planning and decision making under uncertainty. Introduction to machine learning.
Prerequisites: (COMP 206 or ECSE 321), MATH 323 or equivalent and COMP 251.
It is not recommended to take this course without having completed the prerequisites. I will assume familiarity with the material in MATH 323 or an equivalent course in probability.
- Classes start January 8th. Due to the large enrolment, MC 204 cannot fit all registered students. During the first few lectures, we will arrange for the lecture to be broadcast/given in Trottier 2100 as well. Note that the lectures will be recorded and posted online.
- Course materials will be posted on MyCourses.