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Autor/inAlderson, David L.
TitelInteractive Computing for Accelerated Learning in Computation and Data Science
QuelleIn: INFORMS Transactions on Education, 22 (2022) 2, S.130-145 (16 Seiten)
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ZusatzinformationORCID (Alderson, David L.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
SchlagwörterCurriculum Design; Introductory Courses; Computation; Data Science; Programming; Acceleration (Education); Interaction; Instructional Materials; Teaching Methods; Data Analysis; Military Training; Graduate Students; California
AbstractThis article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students both in and out of the classroom. We emphasize the importance of organizing the interaction with course material so that students learn not only to "think computationally" but also to "do computationally." We provide details of existing courses in computation offered at the Naval Postgraduate School, and we describe their ongoing evolution in response to increased demand from members of the civilian and military workforce. (As Provided).
AnmerkungenInstitute for Operations Research and the Management Sciences (INFORMS). 5521 Research Park Drive Suite 200, Catonsville, Maryland 21228. Tel: 800-446-3676; Tel: 443-757-3500; Fax: 443-757-3515; e-mail: informs@informs.org; Web site: https://pubsonline.informs.org/journal/ited
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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