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Discussing the History of Ideas in a Data Science Seminar

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Jonathan VenturaAuthors Info & Claims

SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2

Page 1328

https://doi.org/10.1145/3545947.3576274

Published: 06 March 2023 Publication History

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Abstract

As one part of an NSF-sponsored Data Science Fellowship at Cal Poly, San Luis Obispo, a group of faculty offered a unique one-unit quarter-long seminar on the history of ideas behind the core principles of Data Science. We present an overview of this seminar, its learning objectives, and outcomes and lessons learned.

References

[1]

Angela Saini. 2019. Superior: The return of race science. Beacon Press.

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[2]

David Salsburg. 2001. The lady tasting tea: How statistics revolutionized science in the twentieth century. Macmillan.

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Index Terms

Discussing the History of Ideas in a Data Science Seminar
1. Computing methodologies
  1. Machine learning
2. Information systems
  1. Data management systems
  2. World Wide Web

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Published In

SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2

March 2023

1481 pages

ISBN:9781450394338

DOI:10.1145/3545947

General Chairs:
Maureen Doyle
Northern Kentucky University, USA
,
Ben Stephenson
University of Calgary, Canada
,
Program Chairs:
Brian Dorn
University of Nebraska at Omaha, USA
,
Leen-Kiat Soh
University of Nebraska-Lincoln, USA
,
Lina Battestilli
North Carolina State University, USA

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: 06 March 2023

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National Science Foundation

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SIGCSE 2023

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SIGCSE

SIGCSE 2023: The 54th ACM Technical Symposium on Computer Science Education

March 15 - 18, 2023

Toronto ON, Canada

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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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The 56th ACM Technical Symposium on Computer Science Education

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Recommendations

Sharing computer science education ideas: Israeli-Russian collaboration

The National Science Foundation (seminar session): funding opportunities for CS faculty through the CCLI program

The National Science Foundation (seminar session): funding opportunities for CS faculty through the CCLI program