Document Type

Conference Paper

Publication Date

2023

Publication Title

2023 ASEE Annual Conference & Exposition

Pages

1-11

Conference Name

2023 ASEE Annual Conference & Exposition, June 25-28, 2023, Baltimore, Maryland

Abstract

Data science has gained the attention of various industries, educators, parents, and students thinking about their future careers. Statistics departments have traditionally offered data science courses for a long time. The main objective of these courses is to examine the fundamental concepts and theories. However, teaching data science courses has also expanded to other disciplines due to the vast amount of data being collected by numerous modern applications. Also, someone needs to learn how to collect and process data, especially from industrial devices, because of the recent development of Internet of Things (IoT) technologies. Hence, integrating data science into the curricula of different engineering branches becomes a matter of relating the statistics background to the specific discipline. There are several reasons for this transition. Firstly, as the increased computational power and massive availability of the data make the use of statistical theories possible in more engineering applications, there is a growing need for engineering students to build knowledge in data science concepts. Secondly, the wide availability of libraries and models allows for the implementation of diverse solutions to engineering problems. This paper will discuss introducing a new data science curriculum in an Engineering Technology (ET) program with a focus on Electrical Engineering Technology (EET) program.

Rights

© 2023 American Society for Engineering Education, ASEE Annual Conference Proceedings, Baltimore, Maryland, June 25-28, 2023.

Included in accordance with publisher policy.

Original Publication Citation

Sarp, S., Kuzlu, M., Popescu, O., Jovanovic, V. M., & Acar, Z. (2023, June). Development of a data science curriculum for an engineering technology program [Paper presentation]. 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. https://peer.asee.org/43109

ORCID

0000-0002-8719-2353 (Kuzlu), 0000-0002-8626-903X (Jovanovic)

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