Teaching Process Data Analytics and Machine Learning at MIT
In: Chemical Engineering Education, Jg. 56 (2022), Heft 4, S. 226-230
Online
academicJournal
Zugriff:
This article describes experiences with teaching process data analytics and machine learning, including in: (1) a joint undergraduate/graduate course for students in chemical and mechanical engineering and engineering management; and (2) an undergraduate chemical engineering concentration in process data analytics. The article also describes challenges in teaching data science to chemical engineers, and strategies for overcoming those challenges.
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Teaching Process Data Analytics and Machine Learning at MIT
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Autor/in / Beteiligte Person: | Hong, Moo Sun ; Sun, Weike ; Anthony, Brian W. ; Braatz, Richard D. |
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Zeitschrift: | Chemical Engineering Education, Jg. 56 (2022), Heft 4, S. 226-230 |
Veröffentlichung: | 2022 |
Medientyp: | academicJournal |
ISSN: | 0009-2479 (print) ; 2165-6428 (electronic) |
DOI: | 10.18260/2-1-370.660-130947 |
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