Skip to main content
SearchLogin or Signup

Interleaving Computational and Inferential Thinking in an Undergraduate Data Science Curriculum

Forthcoming in April. Now Available: Just Accepted version

Published onMar 19, 2021
Interleaving Computational and Inferential Thinking in an Undergraduate Data Science Curriculum
·

Abstract

The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses that emphasize computational thinking, inferential thinking, and the perspective gained by working on real-world problems. We believe that interleaving these elements within our core courses is essential to preparing students to engage in data-driven inquiry at the scale that contemporary scientific and industrial applications demand.  This new curriculum is already reshaping the undergraduate experience at Berkeley, where these courses have become some of the most popular on campus and have led to a surging interest in a new undergraduate major and minor program in data science.


Just Accepted - Preview

3/19/20: To preview this content, click below for the Just Accepted version of the article. This peer-reviewed version has been accepted for its content and is currently being copyedited to conform with HDSR’s style and formatting requirements.


Comments
0
comment

No comments here