An Alternative Approach to Teaching Bigdata and Cloud Computing Topics at CS Undergraduate Level

Authors: Debzani Deb (Winston-Salem State University), Muztaba Fuad (Winston-Salem State University), Keith Irwin (Winston-Salem State University)

Abstract: Big data and cloud computing collectively offer a paradigm shift in the way businesses are now acquiring, using and managing information technology. This creates the need for every CS student to be equipped with foundation knowledge in this collective paradigm and to possess some hands-on-experience in deploying and managing big data applications in the cloud. We argue that, for substantial coverage of big data and cloud computing concepts and skills, the relevant topics need to be integrated into multiple core courses of undergraduate CS curriculum rather than creating additional standalone core or elective courses. Our approach to including these topics is to develop learning modules for specific core courses in which their coverage might find an appropriate context. In this poster, three such modules are presented and our classroom experiences during these interventions are documented. Our objective is to share our experience and to receive feedback about our approach.

Best Poster Finalist (BP): no

Poster: pdf
Poster summary: PDF
Reproducibility Description Appendix: PDF


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