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.
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