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Tuesday, August 4 • 10:30am - 11:45am
Workshop 3K: Data-driven modeling in applied math and science

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We have moved from the information age into the data analytics age. Data-driven modeling (or empirical modeling) is describing a system through curve fitting and general data analysis. There may or may not be a theoretical description of the system, and the model is based solely on measurement and observation. Curve-fitting gives a mathematical description (i.e. "the model") and can be used to make predictions. In this hands-on workshop, you will use Python to fit curves to experimental or observational data in a breadth of applications including allometry (e.g. growth of organisms) and model rockets, for example. With no previous coding required, this can be a gentle introduction to coding and its application in data science. Although a spreadsheet is useful for linear trendlines and a few other functions, it does not scale to general data-driven modeling. 

Speakers
avatar for Aaron Titus

Aaron Titus

Professor of Physics, High Point University
Aaron Titus is a Professor of Physics at High Point University. Aaron’s contributions are at the intersection of undergraduate research, educational technology, computational physics, leadership, and student mentoring. In 1997, Aaron and Larry Martin co-created WebAssign—a web-based... Read More →


Tuesday August 4, 2020 10:30am - 11:45am EDT
Zoom Room 11