Webinar: Teaching Data Science to Physicists
Join us on Friday, March 4th, at 10:30 am to learn about teaching data science to physicists and material scientists. In this hour-long webinar, the panelists will discuss strategies and challenges of incorporating data science into physics curricula for students and researchers from all backgrounds. They will provide guidance on how to best implement data science and machine learning in physics teaching and research.
The webinar will be moderated by the PI of the program, William Ratcliff. The panelists are Boris Kozinsky from the Harvard School of Engineering and Applied Sciences, Aaron Gilad Kusne from the National Institute of Standards and Technology, Federica Bianco from the University of Delaware, Trevor David Rhone from the Rensselaer Polytechnic Institute, and Mohammad Soltanieh-Ha from Boston University.
Please register here for the webinar: https://go.umd.edu/gds-webinar
For more information, please visit: https://gds-education-community-of-practice.github.io/events/
DSECOP - Data Science Education Community of Practice (William Ratcliff, PI)
Sponsored by the APS Innovation Fund
Additional support from the Institute for Physical Sciences and Technology, University of Maryland
DSECOP Community Manager: Anil Zenginoglu, anil@umd.edu