By building a set of modules to teach data science in STEM courses at Dartmouth, we build a flexible and reusable set of tools and methods for faculty to enrich learning objectives through the hands-on exploration of data collection, analysis, and visualization.

DIFUSE Modules

Our team works with faculty in the sciences and social sciences to build data science learning modules for existing courses. These modules could be for a short assignment or a longer-running exercise with skill-building components. Module teams consist of 2-3 students (graduate and undergrad), one of the DIFUSE grant PI’s. We do the heavy lifting, with input from the faculty member during weekly meetings.


Astronomy 15 Taylor Hickey Astronomy 15 Taylor Hickey

Stars and the Milky Way

This course module is a series of group exercises and one problem set designed to introduce students to the way Astrophysicists manipulate data and perform analyses in Python with an emphasis on data visualization and plot interpretation.

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