I am an APS DSECOP Fellow, which is associated with the APS Group of Data Science. Five other fellows and I have been working to develop coursework aimed at undergraduates in topics such as machine learning and data science. The aim is that these modules could be integrated as-is (or with minimal changes) into existing physics courses such that undergraduates can be exposed to machine learning in a practical setting as early as possible.
The module that I have been working on is called Introduction to Data Processing, and it covers basics topics such as creating histograms, curve fitting the distributions, and evaluating the goodness-of-fit. If you would like to use my module in your course, or if you have any suggestions about improvements or additions to the module, please don’t hesitate to contact me!
I am working on a series of interactive jupyter / google colab notebooks to teach interesting phenomena in physics at the upper high school / lower undergraduate level. My goal is that each notebook takes no longer than an hour (ideally half of that) to go through.