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Developing a Hands-on Data Science Curriculum for Non-Computing Majors

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

NSF Grantees Poster Session

Page Count

5

DOI

10.18260/1-2--41966

Permanent URL

https://peer.asee.org/41966

Download Count

216

Paper Authors

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Xumin Liu

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Erik Golen

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Rajendra Raj Rochester Institute of Technology (GCCIS)

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Abstract

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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