Undergraduate Courses

PSYC 347 - Computational Models of Human Social Behavior (and Neuroscience)

I designed and taught PSYC 347 - Computational Models of Human Social Behavior (and Neuroscience) during the spring of 2021.

Information about the course materials and accompanying Jupyter Book can be found in the following publication:

Rhoads, S. A. & Gan, L. (2022). Computational models of human social behavior and neuroscience: An open educational course and Jupyter Book to advance computational training. Journal of Open Source Education.   

Summer Schools

Neuromatch Academy in Computational Neuroscience

I served as a teaching assistant for Neuromatch Academy during the summer 2020
Course content and tutorials can be found here

Tutorials

Introduction to BIDS

Material from my talk on BIDS format for functional MRI data at Brainhack DC 2020

NSCI 526 - Computational Neuroscience (Fall 2019)

Instructor: Dr. Max Risenhuber

Tutorials I created as the Teaching Assistant for the Computational Neuroscience graduate course at Georgetown University.

Introduction to Python for Neuroimagers

Materials from my tutorial at Brainhack DC 2019