Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB

Ting Xiao, Ronald I. Greenberg, Mark V. Albert

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

Original languageEnglish
Title of host publicationITiCSE 2021 - Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery
Pages290-295
Number of pages6
ISBN (Electronic)9781450382144
DOIs
StatePublished - Jun 26 2021
Event26th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2021 - Virtual, Online, Germany
Duration: Jun 26 2021Jul 1 2021

Publication series

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

Conference

Conference26th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2021
Country/TerritoryGermany
CityVirtual, Online
Period6/26/217/1/21

ASJC Scopus Subject Areas

  • Management of Technology and Innovation
  • Education

Keywords

  • Jupyter notebook
  • computational science
  • data science
  • multiple languages
  • task-driven

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