During the Fall semester of 2018, Notre Dame of Maryland
University (NDMU) piloted a small
seminar course in scientific computing intended for junior and senior undergraduates
majoring in math, physics, engineering, or computer science. The goal was to
develop and test a multi-disciplinary course, which would ultimately be added as an
upper-level elective in these programs. Because NDMU is a small, primarily undergraduate,
teaching university with limited computational resources, we reached out to Unidata to ask
if we could test our new course using JupyterHub resources that are part of the
Unidata Science Gateway.
Having never offered this course before, we were uncertain the extent of the resources
needed and the commitment needed to maintain and tweak those resources as the course
progressed. Partnering with Unidata offered us a way to gain this expertise while getting
access to the resources we needed for the class.