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Innovation in Undergraduate Data Science Education

Published: 26 February 2020 Publication History

Abstract

The workshop will allow participants to gain experience with a series of innovations developed at UC Berkeley that have enabled the teaching of undergraduate data science at scale to students from all backgrounds. Rather than beginning with established introductory strategies as the gateway to computer science, students in the "Foundations of Data Science" (data8.org) learn computational skills and concepts in relation to real world issues and with attention to societal implications. By engaging with students' interest in the applications of computing on data, and integrating societal impact from the start, the program has developed long term commitment to advance computational skills for large numbers of students. These innovations in teaching not only convey important computational content, but also broaden participation beyond existing approaches to computer science, and integrate issues of human contexts and ethics throughout the full curriculum. Goals include increasing diversity among students learning computer science, giving students a strong ethical foundation within their computer science work, and encouraging critical thinking in the application of inference and statistical techniques. Bringing a laptop is recommended

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cover image ACM Conferences
SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education
February 2020
1502 pages
ISBN:9781450367936
DOI:10.1145/3328778
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: 26 February 2020

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Author Tags

  1. broadening-participation
  2. cloud-based-instruction
  3. data science
  4. ethics
  5. jupyter

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SIGCSE '20
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Overall Acceptance Rate 1,787 of 5,146 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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