Dartmouth DIFUSE
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difuse-research
Public- 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.
astronomy-imaging
Public.github
Public- Students reinforce the introductory statistical concepts through the process of building a data analysis pipeline. Statistical concepts are explored to gain an understanding of the data, then used to implement three supervised machine learning models in MATLAB.
- Students model air quality dispersion using the “openair” package in R, analyze air quality datasets in Germany, and make recommendations based on their findings.
ecology-eddy-covariance
PublicStudents 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 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.
biology-remote-sensing
PublicStudents learn data analysis and visualization in Google Colab while investigating a dataset at the intersection of remote sensing, biology, and ecology. Students work with data in table format, map format, and PCA and k-means plots in the main lab assignment.- 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.
- 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 the effect of different factors on self-rated health in Texas counties using interactive maps and regression analyses in Google Colab Python notebooks.
- 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.
- Students learn basic functional R commands/procedures whilst tying in key statistical content. Repository for ENGS93 text files
- 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.
21x_ENGS20_old
Public archive21w_ASTR15
Public