Literaturnachweis - Detailanzeige
| Autor/inn/en | Hong, Moo Sun; Sun, Weike; Anthony, Brian W.; Braatz, Richard D. |
|---|---|
| Titel | Teaching Process Data Analytics and Machine Learning at MIT |
| Quelle | In: Chemical Engineering Education, 56 (2022) 4, S.226-230 (5 Seiten)
PDF als Volltext |
| Zusatzinformation | ORCID (Hong, Moo Sun) ORCID (Anthony, Brian W.) ORCID (Braatz, Richard D.) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0009-2479 |
| Schlagwörter | Teaching Methods; Graduate Students; Undergraduate Students; Chemical Engineering; Engineering Education; Data Analysis; Barriers; Statistics Education; Course Descriptions; Course Evaluation; Student Attitudes; Teaching Experience; Teacher Evaluation; College Faculty; Massachusetts (Cambridge) |
| Abstract | 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. (As Provided). |
| Anmerkungen | Chemical Engineering Education, Chemical Engineering Division of ASEE. 675 Wolf Ledges Parkway Suite 2459, Akron, OH 44309. Tel: 352-682-2622; e-mail: cee@che.ufl.edu; Web site: https://journals.flvc.org/cee/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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