Document Type

Article

Publication Date

Spring 2021

Publication Title

The Journal of Undergraduate Neuroscience Education (JUNE)

Abstract

The 2019 Society for Neuroscience Professional 1Development Workshop on Teaching reviewed current tools, approaches, and examples for teaching computation in neuroscience. Robert Kass described the statistical foundations that students need to properly analyze data. Pascal Wallisch compared MATLAB and Python as programming languages for teaching students. Adrienne Fairhall discussed computational methods, training opportunities, and curricular considerations. Walt Babiec provided a view from the trenches on practical aspects of teaching computational neuroscience. Mathew Abrams concluded the session with an overview of resources for teaching and learning computational modeling in neuroscience.

Keywords

Society for Neuroscience, teaching workshop, professional development, computational neuroscience, coding, programming, MATLAB, Python, modeling

Volume

19

Issue

2

First Page

A185

Last Page

A119

Rights

© 2021 Faculty for Undergraduate Neuroscience

Comments

Archived as published. Open access article.

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