Online Graduate Certificate in Data Science for the Chemical Industry

Autor/inn/en	Medford, Andrew J.; Boukouvala, Fani; Grover, Martha A.; Sholl, David; Meredith, Carson; Cheng, Pengfei; Choi, Sihoon; Gusmão, Gabriel S.; Kilwein, Zachary; Ravutla, Suryateja; Wirth, Fatimah; Wooley, Jennifer; Sewer, Zaid
Titel	Online Graduate Certificate in Data Science for the Chemical Industry
Quelle	In: Chemical Engineering Education, 56 (2022) 4, S.249-259 (11 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Medford, Andrew J.) ORCID (Boukouvala, Fani) ORCID (Grover, Martha A.) ORCID (Cheng, Pengfei) ORCID (Choi, Sihoon) ORCID (Gusmão, Gabriel S.) ORCID (Ravutla, Suryateja)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0009-2479
Schlagwörter	Chemistry; Science Instruction; Statistics Education; Chemical Engineering; Engineering Education; Elective Courses; Online Courses; Graduate Students; State Universities; Course Descriptions; Certification; Georgia + Suchen Sie Ihr Suchwort? Chemie; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Chemisches Prüfverfahren; Ingenieurausbildung; Elective course; Wahlkurs; Online course; Online-Kurs; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Staatliche Universität; Kursstrukturplan; Abschlusszeugnis; Zertifizierung
Abstract	The Graduate Certificate in Data Science for the Chemical Industries was designed to provide skills to working professionals, via a fully online and asynchronous format. The certificate may also be earned by undergraduate and graduate students at Georgia Tech. The certificate consists of four courses. The two core courses are Data Analytics for Chemical Engineers and Data Driven Process Systems Engineering, which focus on providing basic data analytics skills with examples that are relevant to chemists and chemical engineers. Students also select two electives from a wide range of online offerings at Georgia Tech, allowing them to explore more fundamental or applied aspects of data science. (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