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On the Integration of Big Data and Cloud Computing Topics (Abstract Only)

Published: 08 March 2017 Publication History

Abstract

Big data and cloud computing (BDCloud) collectively offer a paradigm shift in the way businesses are now acquiring, using and managing information technology. With the fast growth of this paradigm, we argue that each and every CS and IT students should be equipped with foundation knowledge in this collective paradigm and should possess hand-on-experiences in managing big data applications in clouds to acquire skills that are necessary to meet current and future industry demands. This poster presents our research that proposes gradual and systematic integration of big data and cloud computing related topics into multiple core (required) courses of CS/IT curriculum. The poster, supported by a NSF grant, will be useful for CS/IT students and their instructors as it identifies big data and cloud computing related topics that are important to cover, finds a sequence of the prescribed topics that can be incorporated into existing core courses most effectively, and suggests specific core courses in which their coverage might find an appropriate context. The poster further identifies the major challenges this proposed intervention may encounter and provides a deeper analysis of them. Finally, the poster describes our experience of implementing one such course with proposed interventions during Fall of 2016 semester. The pre- post- test results that measure student opinion and understanding of big data and cloud computing topics are presented in the poster and demonstrate improved student interest and learning.

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Published In

cover image ACM Conferences
SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
March 2017
838 pages
ISBN:9781450346986
DOI:10.1145/3017680
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 March 2017

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Author Tags

  1. CS curriculum
  2. IT curriculum
  3. big data
  4. cloud computing

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  • Poster

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SIGCSE '17
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Acceptance Rates

SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

Upcoming Conference

SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

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