2021 Virtual Capstone Conference Abstract Detail Page
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| Abstract Title: | Incorporating Open Data and Aspects of Modern Physics Research in a Course on Scientific Computing |
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| Abstract: | Numerous scientific collaborations release datasets to the public. So-called "Open Data" represents an excellent learning tool for physics students seeking to learn aspects of modern scientific research. Increasingly, high-level data analysis techniques are used in physics research for the purposes of classification, clustering, and regression. Through the utilization of Python-based data analysis packages and Open Data, students are able to engage with these techniques and visualize their performance. The use of Open Data in an upper level physics course on the topic of Scientific Computing at Purdue University Northwest will be discussed. Open Data from NASA, CERN, and the Major Atmospheric Gamma Imaging Cherenkov Telescopes (MAGIC) will be included as examples. A summary of project-based learning strategies focussed on these concepts will be examined. |
| Abstract Type: | Contributed Talk |
| Submission Category: | Upper-level |
| Session: | Thursday Contributed Session |
| Presentation: | Download the Presentation |
| Video: | |
| Abstract DOI: | 10.1119/PICUP.Abstract.2021Capstone.8655 |
Primary Author Information | |
| First name: | James |
| Last name: | Dolen |
| Institution: | Purdue University Northwest |
