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NEUG 231

Tools for Experimental Data Analysis

4 credits

This course will cover 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. NEUG 231 is renumbered from NEU 231. Students may only receive credit for one of the following: PSYC 231, NEUG 231, NEU 231. Recommended preparation: MATLAB, Python, C, Java, R, or any related language.

Topics

Topics explicitly listed in official catalogue description

Sources