Curriculum analysis for data systems education.

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

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.

Citation

MIEDEMA, D., TAIPALUS, T., AJANOVSKI, V.V., ALAWINI, A., GOODFELLOW, M., LIUT, M., PELTSVERGER, S. and YOUNG, T. 2024. Curriculum analysis for data systems education. In Monga, M., Lonati, V. Barendsen, E. et al. (eds.) ITiCSE 2024: innovation and technology in computer science education: proceedings of the 29th Innovation and technology in computer science education 2024, 8-10 July 2024, Milan, Italy. New York: ACM [online], volume 2, pages 761-762. Available from: https://doi.org/10.1145/3649405.3659529

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 29th Innovation and technology in computer science education 2024 (ITiCSE 2024)
• Start Date: Jul 8, 2024
• End Date: Jul 10, 2024
• Acceptance Date: Mar 4, 2024
• Online Publication Date: Jul 8, 2024
• Publication Date: Jul 31, 2024
• Deposit Date: Jul 25, 2024
• Publicly Available Date: Jul 25, 2024
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Pages: 761-762
• Book Title: ITiCSE 2024: innovation and technology in computer science education
• ISBN: 9798400706035
• DOI: https://doi.org/10.1145/3649405.3659529
• Keywords: Curriculum; Data systems; Database; Education; Industry; Knowledge gap; Skill set; Student
• Public URL: https://rgu-repository.worktribe.com/output/2403897