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Computing Curricula 2020: Introduction and Community Engagement

Published: 22 February 2019 Publication History

Abstract

This session presents an overview of the Computing Curricula 2020 (CC2020) project and provides a status report for the project. CC2020 seeks to generate a modern revision of the well-known CC2005 document by reflecting a more current view of computing, including the addition of new and emerging sub-disciplines like cybersecurity and data science. Further, CC2020 proposes a competency-based characterization of computing, as well as a bottom-up organization of computing into its sub-disciplines based on an analysis of competencies. This session imparts the results of the project to date and provides an opportunity for participants to infuse new ideas on the current computing disciplinary landscape, as well as input for the competency model it proposes.

References

[1]
M. Jafar, L. Waguespack and J. Babb, A Visual Analytics Approach to Gain Insight into the Structure of Computing Curricula, 2017 Proceedings of the EDSIG Conference, Austin, TX, ISSN: 2473--3857 V3 n4377.
[2]
H. Topi, "Role of Information Systems in the CC2020 Initiative," ACM Inroads, December 2017, vol 8, no 4.
[3]
J. Impagliazzo and A. Pears, "The CC2020 Project -- Computing Curricula Standards for 2020 and Beyond," Proceedings of Educon, 2018.

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    cover image ACM Conferences
    SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
    February 2019
    1364 pages
    ISBN:9781450358903
    DOI:10.1145/3287324
    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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    New York, NY, United States

    Publication History

    Published: 22 February 2019

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    Author Tags

    1. cc2005.
    2. cc2020
    3. competencies
    4. computing model curricula
    5. disciplinary taxonomy

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    SIGCSE '19 Paper Acceptance Rate 169 of 526 submissions, 32%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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    • (2024)Automatic Assessment of Architectural Anti-patterns and Code Smells in Student Software ProjectsProceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering10.1145/3661167.3661290(565-569)Online publication date: 18-Jun-2024
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