PSYC 043. Computational Methods for Psychology and Neuroscience

This course will introduce students to computational approaches to understanding the brain and behavior. We will cover a range of topics including: representation and similarity, regression, correlation, convolution, spectral decomposition, model fitting, and supervised/unsupervised learning. Students will gain experience with the methods by completing Python programming projects applied to neural and behavioral data. This course counts towards the Group A Neuroscience elective.

Interested students with relevant experience/coursework in other areas (e.g. biology, computer science, engineering, mathematics/statistics) are encouraged to contact the Instructor regarding alternatives to prerequisites.

Prerequisite: Prerequisites:

STAT 011 or equivalent
One core course in neuroscience or psychology
Either PSYC 027 or CPSC 021
Interested students with relevant experience/coursework in other areas (e.g. biology, computer science, engineering, mathematics/statistics) are encouraged to contact the Instructor regarding alternatives to prerequisites.

Social sciences
1 credit.
Fall 2024. Zinszer.
Fall 2025. Ezzyat.
Catalog chapter: Psychology
Department website: https://www.swarthmore.edu/psychology

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