Psychology : An overview of various methods for understanding and predicting complex and often large datasets, which have been developed in machine learning and statistics. It focuses on the conceptual underpinnings of popular supervised and unsupervised learning methods and the applications of the methods to various datasets from psychology and closely related disciplines (e.g. neuroscience, consumer behaviour, psychiatry) using existing software packages for the methods.
Terms: This course is not scheduled for the 2023-2024 academic year.
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Open to U2 students or above. Not open to students who have taken or are taking COMP 551.
Prerequisites: PSYC 305