Affiliation:
1. University of Pennsylvania
2. Microsoft
3. Technical University of Munich
4. University of California, San Diego
5. University of British Columbia
Abstract
Database education is at an inflection point. With the surge of interest in all things "data", enrollments in traditional database courses are at an all time high. At the same time, the rise of Data Science as a discipline has led to the creation of new courses whose content significantly overlaps that of an introductory database course (e.g. data preparation, cleaning, SQL). Students from all across campus aspire to take data science courses, even with limited Computer Science backgrounds. This juxtaposition of content and proliferation of audiences is causing many database educators to question what we should be teaching in our data-oriented courses, and what resources we should use to teach them.
Publisher
Association for Computing Machinery (ACM)
Subject
Information Systems,Software
Cited by
3 articles.
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1. Teaching Multiple Data Models and Query Languages;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03
2. MOCHA;Proceedings of the VLDB Endowment;2022-08
3. Teaching about Data and Databases;ACM SIGMOD Record;2022-07-29