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.
Climate Extremes in a Warming Planet
The problem sets were designed to introduce students to important concepts/applications in Python and to connect the lecture content. In order to keep the problem sets simple and not overwhelm the students, the problem sets were broken up into five separate, shorter assignments. The contents of the problem sets are outlined below to indicate after which lectures the problem sets should be introduced.