Interactive Computing for Accelerated Learning in Computation and Data Science

This 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 platfo...

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Bibliographic Details
Published in:INFORMS Transactions on Education 2022-01, Vol.22 (2), p.130-145
Main Author: Alderson, David L
Format: Article
Language:English
Subjects:
Acceleration (Education)
Computation
Curriculum Design
Data Analysis
Data Science
end-user development
Graduate Students
Instructional Materials
Interaction
Introductory Courses
Military Training
Programming
Teaching Methods
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Description
Summary:This 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.
ISSN:1532-0545
1532-0545
DOI:10.1287/ited.2021.0261