CI 539
Fall 2023 Part of Term 1
Part of Term 1
Aug 21-Dec 6
Aug 21-Dec 6
Introduction to Educational Data Mining
Credit: 4 hours.
Throughout the semester, students will learn how data mining and machine learning approaches can be applied to educational data. Students will learn about the different types of data mining and machine learning techniques, reading about examples of how those techniques have applied to educational data and learning how to use tools to apply those techniques.
4 graduate hours. No professional credit.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
74810
|
Lecture-Discussion
|
A
|
1:00PM
-3:50PM
|
T
|
Education Building
|
Kang, J
|
|