Computing competencies for undergraduate data science programs

Andrea Danyluk, Paul Leidig, Andrew McGettrick, Lillian Cassel, Maureen Doyle, Christian Servin, Karl Schmitt, Andreas Stefik

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

10 Citations (Scopus)

Abstract

In this session, members of the ACM Data Science (DS) Task Force will present the final draft of Computing Competencies for Undergraduate Data Science Programs. Drafting this document has been a three-year process, in which the task force has released preliminary drafts, sought input from the community, and responded to the community's helpful feedback. Our intent is that the session be an exchange that will clarify the contents of the report and provide participants with ways to put the report into practice at their own institutions. This session should be of interest to all SIGCSE attendees, but especially to faculty developing college-level curricula in Data Science.
Original languageEnglish
Title of host publicationSIGCSE '21
Subtitle of host publicationProceedings of the 52nd ACM Technical Symposium on Computer Science Education
EditorsMark Sherriff, Laurence D. Merkle, Pamela Cutter, Alvaro Monge
Place of PublicationNew York
Pages1119-1120
Number of pages2
DOIs
Publication statusPublished - 3 Mar 2021

Keywords

  • curriculum
  • data science

Fingerprint

Dive into the research topics of 'Computing competencies for undergraduate data science programs'. Together they form a unique fingerprint.

Cite this