research-article

A Data-centric Computing Curriculum for a Data Science Major

Authors:

Uwe RöhmAuthors Info & Claims

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Pages 865 - 871

https://doi.org/10.1145/3408877.3432457

Published: 05 March 2021 Publication History

Abstract

Many universities are introducing a new major in Data Science into their offering, to reflect the explosive growth in this field and the career opportunities it provides. As a field Data Science has elements from Computer Science and from Statistics, and curricula plans differ widely, both in the balance between the CS and Stats aspects, and also in the emphasis within the computing topics. This paper reports on the curriculum that has been taught for three years now at the University of Sydney. In particular, we describe the approach of a sequence of computing subjects which were developed specifically for the major, in order to bring students over several years to a sophisticated understanding of the data-handling aspects of Data Science. Students also take traditional subjects from both CS (such as Data Structures or AI) and from Statistics (such as Learning from Data and Statistical Inference). The data-centric specially-designed subjects we discuss in this paper are (i) Informatics: Data and Computation (in the first year), (ii) Big Data and Data Diversity (in the second year), and then upper-division subjects on (iii) Data Science Platforms, and (iv) Human-in-the-Loop Data Analytics.

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Cited By

Ehlers JMonga MLonati VBarendsen ESheard JPaterson J(2024)Teaching Multiple Data Models and Query LanguagesProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653628(234-240)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653628
Wu WStephenson BStone JBattestilli LRebelsky SShoop L(2024)Learning Big Data Systems via EmulationProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630888(1449-1455)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630888
Singh AFariha ABrooks CSoares GHenley ATiwari AM CChoi HGulwani SStephenson BStone JBattestilli LRebelsky SShoop L(2024)Investigating Student Mistakes in Introductory Data Science ProgrammingProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630884(1258-1264)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630884
Show More Cited By

Index Terms

A Data-centric Computing Curriculum for a Data Science Major
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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cover image ACM Conferences

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

March 2021

1454 pages

ISBN:9781450380621

DOI:10.1145/3408877

General Chairs:
Mark Sherriff
University of Virginia, USA
,
Laurence D. Merkle
Air Force Institute of Technology, USA
,
Program Chairs:
Pamela Cutter
Kalamazoo College, USA
,
Alvaro Monge
California State University, Long Beach, USA
,
Judithe Sheard
Monash University, Australia

Copyright © 2021 ACM.

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Published: 05 March 2021

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Cited By

Ehlers JMonga MLonati VBarendsen ESheard JPaterson J(2024)Teaching Multiple Data Models and Query LanguagesProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653628(234-240)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653628
Wu WStephenson BStone JBattestilli LRebelsky SShoop L(2024)Learning Big Data Systems via EmulationProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630888(1449-1455)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630888
Singh AFariha ABrooks CSoares GHenley ATiwari AM CChoi HGulwani SStephenson BStone JBattestilli LRebelsky SShoop L(2024)Investigating Student Mistakes in Introductory Data Science ProgrammingProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630884(1258-1264)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630884
Fekete A(2022)Teaching Data Management Concepts for Data in FilesProceedings of the 1st International Workshop on Data Systems Education10.1145/3531072.3535326(51-55)Online publication date: 12-Jun-2022
https://dl.acm.org/doi/10.1145/3531072.3535326

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