Abstract

In this poster the authors report the approaches for presenting Data Science topics in Flipped Classroom mode, incorporating topics in Data Science into existing courses as well as in stand-alone courses. It provides an insight on listing of learning goals, central data science topics, content modules, and a framework for implementing a flipped classroom approach to introduce data science to students with limited technical backgrounds. The presenters are NSF-funded investigators on a collaborative team of computer scientists and statistician to create flipped material for an introductory data science class.After SIGCSE, materials described in the poster will be available in Ensemble, at http://computingportal.org/?q=VU-WSSU-DataScience

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