Teaching Data Science to Students and Teachers I

Chair(s):
Grover, M., Georgia Tech
Co-chair(s):
Westmoreland, P., North Carolina State University

There is plenty of enthusiasm about the future of "data science" being an essential expertise for chemical engineers. Analytics and machine learning build on statistics and use it to identify and quantify correlated behaviors, enabling decision-making. That's powerful, but both students and their instructors need to know about more than means and standard deviations. Participants in this session will share their experiences with teaching statistics and beyond, aiming to benefit education and other educators.

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Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

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Individuals

AIChE Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00