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.


PS/CS 211, Biology 102 Taylor Hickey PS/CS 211, Biology 102 Taylor Hickey

Exploring the Relationships between Land Use, Deer Population, and Lyme Cases in Four U.S. States

This module allows students to explore data on lyme disease cases, deer population, and land use and environmental factors for four different states, Connecticut, Maryland, New Hampshire, and Massachusetts using various data analysis techniques. Six Canvas quizzes with mainly short answers and a few multiple choice questions guide students through a Google Colab application.

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