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.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE B01
(17191) |
20 |
2024-01-08 - 2024-04-12 (F)
13:00 - 15:50
ED 177
|
Primary Instructor: Ying Cui
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE B01
(75806) |
20 |
2025-01-06 - 2025-04-09 (F)
13:00 - 15:50
ED 1-130
|
|