Statistics-infused introduction to computer science

Olaf A. Hall-Holt, Kevin R. Sanft

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

8 Scopus citations

Abstract

The ability to use computational tools to collect, organize, visualize, and analyze data is a valuable skill both inside and outside of computer science. In this paper we describe the design and implementation of a statistics-infused introduction to computer science, developed in collaboration with statistics faculty, at St. Olaf College. We propose that there exists a growing demographic of 'data-centric' students who expect to write small amounts of code in the context of work in other fields, and who are eager to take a CS course adapted to their needs. This particular data-centric CS1 course has been a catalyst for collaboration between faculty in multiple fields and multiple institutions.

Original languageEnglish (US)
Title of host publicationSIGCSE 2015 - Proceedings of the 46th ACM Technical Symposium on Computer Science Education
EditorsCarl Alphonce, Adrienne Decker, Kurt Eiselt, Jodi Tims
PublisherAssociation for Computing Machinery, Inc
Pages138-143
Number of pages6
ISBN (Electronic)9781450329668
DOIs
StatePublished - Feb 24 2015
Event46th SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2015 - Kansas City, United States
Duration: Mar 4 2015Mar 7 2015

Publication series

NameSIGCSE 2015 - Proceedings of the 46th ACM Technical Symposium on Computer Science Education

Other

Other46th SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2015
CountryUnited States
CityKansas City
Period3/4/153/7/15

Keywords

  • CS1
  • Computer science education
  • Data science
  • Statistics

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