Fall Term 2026 (1970)
EDPY 506 - Machine Learning: Theory and Applications
3 units (fi 6)(EITHER, 3-0-0)
This course provides an overview of key topics in machine learning and broader issues in this domain. It builds on the research literature on machine learning as well as on the principles of constructivism (i.e., learning by doing). The course employs a combination of hands-on in-class activities, presentations, and discussions about readings and algorithms. It also provides an overview and practice of the R and Python programming languages that will be used to exemplify fundamental machine learning techniques. This course is open to graduate students across the campus, with priority given to the Faculty of Education graduate students.
LECTURE A01 (57399)
2026-09-01 - 2026-12-08
F 09:00 - 11:50
Winter Term 2027 (1980)
EDPY 507 - Measurement Theory I
3 units (fi 6)(FIRST, 3-0-0)
This course will introduce students to the concepts and procedures required to develop, administer, and use educational and psychological assessments. Emphasis will be placed on the foundational concepts related to reliability and validity.
LECTURE B01 (78636)
2027-01-04 - 2027-04-09
W 09:00 - 11:50