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 language | English (US) |
|---|---|
| Title of host publication | SIGCSE 2015 - Proceedings of the 46th ACM Technical Symposium on Computer Science Education |
| Editors | Adrienne Decker, Kurt Eiselt, Jodi Tims, Carl Alphonce |
| Publisher | Association for Computing Machinery |
| Pages | 138-143 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450329668 |
| DOIs | |
| State | Published - Feb 24 2015 |
| Event | 46th SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2015 - Kansas City, United States Duration: Mar 4 2015 → Mar 7 2015 |
Publication series
| Name | SIGCSE 2015 - Proceedings of the 46th ACM Technical Symposium on Computer Science Education |
|---|
Other
| Other | 46th SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2015 |
|---|---|
| Country/Territory | United States |
| City | Kansas City |
| Period | 3/4/15 → 3/7/15 |
Bibliographical note
Publisher Copyright:Copyright © 2015 ACM.
Keywords
- CS1
- Computer science education
- Data science
- Statistics