2022
DOI: 10.1287/ited.2021.0261
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Interactive Computing for Accelerated Learning in Computation and Data Science

Abstract: 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 computational… Show more

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