Interactive Computing for Accelerated Learning in Computation and Data Science

Autor: David L. Alderson
Rok vydání: 2022
Předmět:
Zdroj: INFORMS Transactions on Education. 22:130-145
ISSN: 1532-0545
Popis: 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.
Databáze: OpenAIRE