Curriculum Analysis for Data Systems Education

Daphne Miedema, Abdussalam Alawini, Toni Taipalus, Martin Goodfellow, Vangel V. Ajanovski, Michael Liut, Svetlana Peltsverger, Tiffany Young

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The field of data systems has seen quick advances due to the popularization of data science, machine learning, and real-time analytics. In industry contexts, system features such as recommendation systems, chatbots and reverse image search require efficient infrastructure and data management solutions. Due to recent advances, it remains unclear (i) which topics are recommended to be included in data systems studies in higher education, (ii) which topics are a part of data systems courses and how they are taught, and (iii) which data-related skills are valued for roles such as software developers, data engineers, and data scientists. This working group aims to answer these points to explain the state of data systems education today and to uncover knowledge gaps and possible discrepancies between recommendations, course implementations, and industry needs. We expect the results to be applicable in tailoring various data systems courses to better cater to the needs of industry, and for teachers to share best practices.

Original languageEnglish (US)
Title of host publicationITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery
Pages761-762
Number of pages2
ISBN (Electronic)9798400706035
DOIs
StatePublished - Jul 8 2024
Event29th Conference Innovation and Technology in Computer Science Education, ITiCSE 2024 - Milan, Italy
Duration: Jul 8 2024Jul 10 2024

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume2
ISSN (Print)1942-647X

Conference

Conference29th Conference Innovation and Technology in Computer Science Education, ITiCSE 2024
Country/TerritoryItaly
CityMilan
Period7/8/247/10/24

Keywords

  • curriculum
  • data systems
  • database
  • education
  • industry
  • knowledge gap
  • skill set
  • student

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Education

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