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Teaching Embedded Systems in the Context of Internet of Things (IoT)

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Embedded Systems & Cybersecurity for ECE

Tagged Division

Electrical and Computer

Page Count

11

DOI

10.18260/1-2--33347

Permanent URL

https://peer.asee.org/33347

Download Count

768

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Paper Authors

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Shiny Abraham Seattle University

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Shiny Abraham is an Assistant Professor of Electrical and Computer Engineering at Seattle University. She received the B.E. degree in Telecommunication Engineering from Visveswaraiah Technological University (VTU), India in 2007 and Ph.D. from Old Dominion University, Norfolk, VA in 2012. Her research interests span the areas of Wireless Communication, Internet of Things (IoT), Optimization using Game Theory, and Engineering Education Research. She is a member of the IEEE and ASEE, a technical program committee member for IEEE Globecom, ICC, ICCCN and VTC conferences, and a reviewer for several international journals and conferences.

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Mehmet Vurkaç Seattle University

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Mehmet Vurkaç is an assistant professor in the Department of Electrical and Computer Engineering at Seattle University.

Teaching at the college level since 1994 and in engineering since 2004, and previously an associate professor of EE at Oregon Tech, Vurkaç earned his Ph.D. in Electrical and Computer Engineering in December 2011 at Portland State University with research at the confluence of machine learning, information theory, and mathematical music theory. His current research areas are transfer learning and evolutionary computation in image processing, music perception in computational neuroscience, ensemble learning, engineering education, multivariate modeling in mathematical music theory, and music information retrieval.

Phone: 206-296-5983
E-mail: vurkacm@seattleu.edu

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Agnieszka Miguel Seattle University

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Agnieszka Miguel received her Ph.D. in Electrical Engineering in 2001 from the University of Washington, and MSEE and BSEE from Florida Atlantic University in 1996 and 1994. Dr. Miguel's professional interests involve image processing, machine learning, and engineering education especially active learning, diversity, retention, and recruitment. Her teaching interests include MATLAB, circuits, linear systems, and digital image processing. She is a member of the IEEE, ASEE, SWE, and Tau Beta Pi.
Currently, Dr. Miguel is the Chair of the ASEE Professional Interest Council I (PIC I), and a Vice President of PICs which gives her a seat on the ASEE Board of Directors. Dr. Miguel has held several other officer positions across the ASEE including: Division Chair and Program Chair of the ECE and New Engineering Educators Divisions, and ASEE Campus Representative. Dr. Miguel is also a member-at-large of the Electrical and Computer Engineering Department Heads Association (ECEDHA) Board of Directors. She has been a member of the ECEDHA Annual Conference Program Committee since 2013.

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Nhan K. Nguyen Seattle University

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I am an aspiring Undergraduate Research Assistant with a demonstrated history of working on designing embedded systems utilizing voice recognition, computer vision and machine learning. Skilled in programming with C++, Python, MATLAB, C# and Java. I am currently pursuing a Bachelor of Science (B.S.) focused in Electrical Engineering with Computer Engineering Specialization, and a Minor in Computer Science at Seattle University.

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Olsen John Salgado Ong Seattle University

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Olsen received his Bachelor's degree in Electrical and Computer Engineering with Minors in Computer Science and Mathematics at Seattle University.

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Abstract

Teaching Embedded Systems in the Context of Internet of Things (IoT)

Abstract The global adoption of Internet of Things (IoT) technology in a wide range of industry sectors has enabled a seamless confluence of our cyber and physical worlds [1]. The rapid proliferation of IoT devices is attributed to advances in key enabling technologies, among which communication and networking are paramount. As embedded systems converge with ubiquitous connectivity, it gives rise to an IoT ecosystem that drives a digital transformation, inspires innovation, and fuels economic growth. The resulting change in the technology landscape is creating a shift in demands of the Electrical and Computer Engineering (ECE) workforce. This emphasizes the need to reassess ways in which ECE programs prepare graduates in bridging the skills-gap. This paper documents the process of integrating IoT-based activities in an Embedded Systems course at Seattle University, for two consecutive years. In the first iteration, the course included a two-week long project that had students work in teams of two to build a voice-based control system using custom Alexa skills, in other words, a DIY Amazon Alexa device for voice-controlled robots. Over the duration of this project, students encountered concepts related to wireless communication, computer networking, cloud computing, and network security, among many others. In the second iteration, computer vision and image processing, in addition to the above-mentioned concepts were used to implement a hand-gesture-based control system. Survey and focus group results provide qualitative feedback on students’ learning experiences. A comparative study on the differences between implementations and resulting feedback from both iterations of the course is presented. Observations and lessons learned contribute to the body of knowledge on curricular enhancement using IoT and help identify best practices for teaching Embedded Systems in a world that is more connected now, than ever before.

Abraham, S., & Vurkaç, M., & Miguel, A., & Nguyen, N. K., & Ong, O. J. S. (2019, June), Teaching Embedded Systems in the Context of Internet of Things (IoT) Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33347

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