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.
Examining Air Quality Data in Germany
This module consists of six assignments in which students learn and then apply air quality dispersion modeling using an R-based programming module, with the help of the package ‘openair’ and open-sourced air quality datasets of cities in Germany.