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.

Timeline of DIFUSE Modules

Taylor Hickey 4/6/21 Taylor Hickey 4/6/21

Statistics in R

This course module consists of Jupyter notebooks designed to introduce students to basic functional R commands/procedures whilst tying in key statistical content. It aims to give novice students competence in R and challenge experienced students.