Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
5
10.18260/1-2--41966
https://peer.asee.org/41966
216
This paper describes the design and development of an appropriate data science curriculum accessible to non-computing majors with little or no programming background. This project took a two-prong approach to address such a curriculum: (1) a Web-based Data Science Learning Platform was developed to offer such students hands-on practice with processing and analyzing data without needing to write code, and (2) a Data Science Curricular Module for teaching data science concepts in both an existing Computer Science Principles course and a follow-on Data Science Principles course. The paper also discusses initial experiences with deploying the curricular module at Rochester Institute Technology.
Liu, X., & Golen, E., & Raj, R. (2022, August), Developing a Hands-on Data Science Curriculum for Non-Computing Majors Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41966
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