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Holistic Approaches to Computer Science

Published:21 February 2018Publication History

ABSTRACT

Computer science curricula has been well defined for many years through the publication of the Computer Science Curricula reports developed jointly by the two major professional societies, the Association for Computing Machinery (ACM) and the IEEE Computer Society. These documents define computer science curricula by providing knowledge areas and course exemplars. The most recent curriculum report, the Computer Science Curricula 2013 (CSC13 [1]), provides 18 knowledge areas (KAs). Though it stresses that KAs do not necessary represent courses, computer science departments have traditionally created courses around the KAs. Indeed, the course exemplars presented in the CSC13 report, for the most part, center around KAs.

References

  1. ACM and Association for Computing Machinery IEEE Computer Society Joint Task Force on Computing Curricula. 2013. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. ACM, New York, NY, USA. 999133. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. Blank and D. Kumar. 2003. Patterns of Curriculum Design. In Informatics Curricula and Teaching Methods, L. Cassel and R. A. Reis (Eds.). Kluwer Academic Publishers, 3300 AA Dordrecht, the Netherlands.Google ScholarGoogle Scholar
  3. Ali Erkan and John Barr. 2016. Algorithms + Organization = Systems. In Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '16). ACM, New York, NY, USA, 65--70. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Holistic Approaches to Computer Science

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        • Published in

          cover image ACM Conferences
          SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
          February 2018
          1174 pages
          ISBN:9781450351034
          DOI:10.1145/3159450

          Copyright © 2018 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 21 February 2018

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          SIGCSE '18 Paper Acceptance Rate161of459submissions,35%Overall Acceptance Rate1,595of4,542submissions,35%

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