Below is a list of graduate courses offered by the Department of Psychological Sciences in the Student Administration System. Current students can access a visual display of the weekly graduate course calendar on SharePoint.
Please note that Student Admin and the Graduate Catalog have the full listing of all courses, including practicum, research teams/groups, and independent study. Changes with days/times and classroom locations may occur between now and the start of the semester. Check with instructors to confirm course information is accurate.
Academic Year 2022-2023
Prerequisites: Open to graduate students; advanced undergraduates with instructor consent. Not open to students who have passed PSYC 5270 when offered as Statistical Analysis of Neural Data.
Grading Basis: Graded
Practical introduction to the analysis of neural data. Lectures and problem sets will involve programming in Matlab, R, or Python. Course is suitable for students with a background in either quantitative methods or neuroscience.