Students examine the effect of different factors on self-rated health in Texas counties using interactive maps and regression analyses in Google Colab Python notebooks.

Students learn basic functional R commands/procedures whilst tying in key statistical content. Repository for ENGS93 text files

Students engage with the wind energy power equations and explore other considerations in the siting of a wind farm in a 3-part Google Colab Python notebook.

This repository contains data from different research projects associated with the DIFUSE project (NSF IUSE 1917002).

Students find numerical solutions to a first order ordinary differential equation (ODE) model of glucose-insulin system using Euler’s method and least squares in MATLAB.

Students learn the way astrophysicists manipulate observatory data and perform analyses in Google Colab Python notebooks with an emphasis on data visualization and plot interpretation.

This repository contains all of the materials for the Survey of Attitudes towards Data Science, developed by the DIFUSE project (NSF IUSE-1917002).

Students collect and analyze solar incidence angles over time to evaluate their own hypotheses, coupling this with the additional data analysis in Excel to draw conclusions about environmental change.

Students explore and observe patterns from raw eddy covariance data and implications towards net ecosystem exchange. Students discover important meteorological and phenological properties that contribute towards the overall ecosystem.

Students model air quality dispersion using the “openair” package in R, analyze air quality datasets in Germany, and make recommendations based on their findings.

This repo contains data and code for a web app designed for the visualization and analysis of geospatial data for the ENVS3 course, developed by the DIFUSE project (NSF IUSE-1917002).

Students examine drought, famine, floods, landslides and other extreme weather events looking through the lens of climate change, while developing skills in Python’s Numpy and pandas.