PSYC 231Tools for Experimental Data Analysis
This course will provide an introduction to programming and a set of general data analysis methods that are broadly applicable in many different subdisciplines of psychology/neuroscience. Topics include model fitting, information theory, Fourier analysis, and machine learning. Recommended preparation: Any programming experience will help, but not required. Students may only receive credit for one of the following: PSYC 231, NEUG 231, NEU 231.
Prerequisites
From the catalog: “graduate standing.”
Courses that list PSYC 231 as a prerequisite (1)
- NEU 243 Physiological Basis of Human Information