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Goals, Topics and Tools of Computer Science for All University or College Courses: (Abstract Only)

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Published:21 February 2018Publication History

ABSTRACT

As the importance of Computer Science for all grows, questions about the foundation of CS related skills and knowledge everyone should be familiar with arise. Different education institutions or initiatives offer courses or other materials to provide CS knowledge and skills necessary to participate in future life, or any profession. Among these institutions are numerous universities and colleges which started to offer Computer Science courses explicitly aimed at non-CS majors. These course materials form an extensive data pool for determining crucial CS knowledge for non-majors. While the courses differ with regards to intention and topics, reflect a personal perception of the designer, or address specific local demands, they may still contain a foundation of CS for everyone. By examining multiple university and college courses, one can determine this foundation. In this preliminary study, we analyzed an initial sample of thirty different international Computer Science for all courses offered at colleges and universities between 2010 and 2017. The materials - syllabi and schedules of these different courses - were examined using a qualitative content analysis as proposed by Mayring. Based on coding results from the content analysis we identified the types of learning objectives those courses aim at. We also list inductively derived topic categories (e.g., representation of data, security, and social implications) and present different programming languages or tools used within those courses. Afterwards, the frequencies of topics in proportion to the number of courses were reported and associated with the previously identified learning objectives.

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  1. Goals, Topics and Tools of Computer Science for All University or College Courses: (Abstract Only)

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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

      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: 21 February 2018

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

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