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WIP: A Brief Introduction of Deep Learning and IoT to Freshman Engineering Students

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2022 ASEE Annual Conference & Exposition


Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

Electrical and Computer Engineering Division Poster Session

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Paper Authors


Chao Wang Arizona State University

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Chao Wang received her Ph.D. in Electrical Engineering from University of Wisconsin, Madison. She is
currently a senior lecturer in Ira. A Fulton Schools of Engineering at Arizona State University.

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In a recent survey conducted by American Society of Engineering Education (ASEE) Corporate Member Council, Artificial Intelligence (AI) and Internet of Things (IoT) are identified as areas where substantial skill gaps exist in recent engineering graduates meeting the industry demands. To get students exposed to these two important technologies, a pre-existing MATLAB workshop on deep learning and IoT developed by MathWorks is adopted in an Introduction to Engineering course for first year students from different engineering disciplines. Survey results show that the learning module on deep learning and IoT is effective in providing an introduction and raising awareness of the importance of these two topics among first year engineering students, especially female students.

Wang, C. (2022, August), WIP: A Brief Introduction of Deep Learning and IoT to Freshman Engineering Students Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN.

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