Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5107. Statistical Analysis of Neural Data

3.00 credits

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.

No classes found.