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Targeted Curricular Innovations in Data Science | IEEE Conference Publication | IEEE Xplore

Targeted Curricular Innovations in Data Science


Abstract:

Many employers expect skills such as proper data generation, collection, storage, and analysis; however, these skills are often not taught in the undergraduate experience...Show More

Abstract:

Many employers expect skills such as proper data generation, collection, storage, and analysis; however, these skills are often not taught in the undergraduate experience. Many STEM disciplines require computing coursework that includes coding in a modern programming language but does not explicitly address data stewardship. In this research, we present a faculty-focused data science program to address this educational gap. The faculty at two undergraduate institutions participate in a year-long slate of activities to learn about data science and design mechanisms for classroom dissemination. We describe the program details and provide sample classroom implementations as well as a summary of faculty post-participation perceptions.
Date of Conference: 16-19 October 2019
Date Added to IEEE Xplore: 12 March 2020
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Conference Location: Covington, KY, USA

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