NEUG 231
Tools for Experimental Data Analysis
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
- model fitting
- information theory
- Fourier analysis
- and machine learning
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027