C-HACK: A Data Science Tutorial and Hackathon for Undergraduate Students in Chemical Engineering

Authors

  • Evan Komp University of Washington
  • Brenden Pelkie University of Washington
  • Nida Janulaitis University of Washington
  • Micheal Abel The Dow Chemical Company
  • Ivan Castillo The Dow Chemical Company
  • Leo Chiang The Dow Chemical Company
  • You Peng The Dow Chemical Company
  • David Beck University of Washington
  • Stéphanie Valleau University of Washington

DOI:

https://doi.org/10.18260/2-1-370.660-131105

Abstract

We present a two-week active learning chemical engineering hackathon event specifically designed to teach undergraduate chemical engineering students of any skill level data science through Python and directly apply this knowledge to a real problem provided by industry. The event is free and optional to the students. We use self-evaluation surveys to measure improvements in both data science knowledge and team soft skills, finding that participants report a substantial increase in self-confidence with Python, a popular coding language with support for data science tools. The reported improvement is found to be statistically significant, to a greater extent for women who have traditionally been undersupported in computing.

 

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Published

2022-12-21

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