EDUC139

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Data Science and the Science of Learning

Graduate School of Education EDUC - Graduate School of Education

Course Description

This advanced seminar will explore the application of analytic techniques from modern data science to advance the science of human learning. Students will have opportunities to work with real datasets from educational contexts and engage with contemporary research in the learning sciences, culminating in a final project. Enrollment in this course is by instructor permission only. All students interested in enrolling in this course must complete this application to be eligible to enroll: https://forms.gle/dfcm5LJReBgJ6yDf6. It is recommended that interested students submit this application by Monday, March 24th 11:59PM PT for full consideration, but applications will be reviewed on an ongoing basis through Friday, April 4th 11:59PM PT

Cross Listed Courses

Grading Basis

RLT - Letter (ABCD/NP)

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Discussion

Enrollment Optional?

Yes

Course Component

Seminar

Enrollment Optional?

No

Programs

EDUC139 is a completion requirement for: