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.
Exploring Eddy Covariance Method
The purpose of this lab is to introduce students to the basics of Eddy Covariance, explore raw measurement data to observe visible patterns across seasons and time of day, as well as being able to discover meaningful relationships between variables important to the ecosystem.