iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1145/2839509.2850498
Brainstorming Data Science as a Fluency Course for Non-Majors and as a New Specialization (Abstract Only) | Proceedings of the 47th ACM Technical Symposium on Computing Science Education skip to main content
10.1145/2839509.2850498acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
abstract
Public Access

Brainstorming Data Science as a Fluency Course for Non-Majors and as a New Specialization (Abstract Only)

Published: 17 February 2016 Publication History

Abstract

Data Science programs are emerging in many areas and are related to many disciplines. This includes sciences, social sciences, business, journalism, history, and any other area dealing with massive amounts of data. Some institutions are establishing majors or minors in data science while others need to incorporate some level of introduction to relevant topics within the context of other coursework. The BOF will engage SIGCSE participants who have views on the content and role of courses and programs in data science. Two existing NSF sponsored projects will seed the discussion. One of the projects investigates the use of flipped classroom instruction for course material in data science, with significant attention to what can be done with a minimum of prerequisites. The other project produced a workshop to elicit opinions from a number of perspectives on what are the core elements of data science and how the subject is seen by different disciplines. Results from the workshop will be available at SIGCSE. With these as a starting point, participants in the Birds of a Feather session will explore the emerging field of data science and its relationship to computer science education.

Index Terms

  1. Brainstorming Data Science as a Fluency Course for Non-Majors and as a New Specialization (Abstract Only)

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education
    February 2016
    768 pages
    ISBN:9781450336857
    DOI:10.1145/2839509
    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.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 February 2016

    Check for updates

    Author Tags

    1. data science
    2. flipped classroom

    Qualifiers

    • Abstract

    Funding Sources

    Conference

    SIGCSE '16
    Sponsor:

    Acceptance Rates

    SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

    Upcoming Conference

    SIGCSE Virtual 2024
    1st ACM Virtual Global Computing Education Conference
    December 5 - 8, 2024
    Virtual Event , NC , USA

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 0
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 29 Nov 2024

    Other Metrics

    Citations

    View Options

    View options

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media