Fall Term 2024 (1890)
EDPY 500 - Introduction to Data Analysis in Educational Research
3 units (fi 6)(EITHER, 3-0-3)
May contain alternative delivery sections; refer to the Tuition and Fees page in the University Regulations section of the Calendar.
LECTURE A01 (49413)
2024-09-03 - 2024-12-09
M 13:00 - 15:50
LAB D01 (49414)
2024-09-03 - 2024-12-09
W 13:00 - 15:50
EDPY 505 - Quantitative Methods I
3 units (fi 6)(EITHER, 3-0-3)
This course will focus on the analysis of data from experiments and surveys using the analysis of variance. Students will develop knowledge of and skills in understanding the underlying statistical models, matching statistical models to research designs, using computer software to conduct appropriate statistical analyses, and interpreting and reporting findings.
LECTURE A01 (49215)
2024-09-03 - 2024-12-09
T 12:30 - 15:20
LAB D01 (49216)
2024-09-03 - 2024-12-09
R 12:30 - 15:20
Winter Term 2025 (1900)
EDPY 500 - Introduction to Data Analysis in Educational Research
3 units (fi 6)(EITHER, 3-0-3)
May contain alternative delivery sections; refer to the Tuition and Fees page in the University Regulations section of the Calendar.
LECTURE B01 (70492)
2025-01-06 - 2025-04-09
M 13:00 - 15:50
LAB H01 (70495)
2025-01-06 - 2025-04-09
W 13:00 - 15:50
EDPY 502 - Educational Data Mining
3 units (fi 6)(EITHER, 3-0-0)
The purpose of this course is to present students with a variety of educational data mining techniques, with an emphasis on conceptual understanding and applications. Students will also learn how to implement these techniques with statistical software such as R or Python. This course is open to graduate students across the campus, with priority given to the Faculty of Education graduate students.
LECTURE B01 (75806)
2025-01-06 - 2025-04-09
F 13:00 - 15:50