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Developing System-Thinking Oriented Learning Modules of Networked Measurement Systems for Undergraduate Engineering Curriculum

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Capstone Design Courses and Tools in support of Systems Engineering Education

Tagged Division

Systems Engineering

Page Count

12

Page Numbers

23.406.1 - 23.406.12

Permanent URL

https://peer.asee.org/19420

Download Count

51

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Paper Authors

biography

Xiaojing Yuan University of Houston (CoT)

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Dr. Xiaojing Yuan is Associate Professor in the Computer Engineering Technology program of Engineering Technology Department. She is the founder and director of the ISGRIN research lab and actively incorporating undergraduate research activities as part of final project requirements in several undergraduate junior and senior level courses dealing with sensors, instrumentation, and microprocessor hardware and software. Her research interest includes wireless sensor network, quality-of-service enhanced networking protocols, pattern recognition, and data mining.

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biography

Heidar Malki University of Houston (CoT)

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Heidar A. Malki is currently a Professor and chair of Engineering Technology Department at the College of Technology. He also has a joint appointment with Electrical and Computer Engineering Department at UH. He holds a PhD. degree in Electrical Engineering from the University of Wisconsin-Milwaukee. He is a senior member of IEEE and was associate editor for the IEEE Transactions on Fuzzy Systems. Dr. Malki was the general chair for the 1997 ASEE/GSW Conference and one of co-chairs of 1997 ICNN-IEEE International Conference on Neural Networks. His research interests are: applications of neural networks, fuzzy logic controllers, and design of fuzzy logic controllers for industrial applications

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Xiaohui Yuan University of North Texas

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Xiaohui Yuan received B.S. degree in Electrical Engineering from Hefei University of Technology, China in 1996 and Ph.D. degree in Computer Science from Tulane University in 2004. He is an Associate Professor at the University of North Texas with research interests including computer vision, data mining, machine learning, and artificial intelligence. He is a member of IEEE.

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Abstract

Developing System-Thinking Oriented Learning Modules of Networked Measurement Systems for Undergraduate Engineering CurriculumAbstractThis paper describes in detail the design of a set of system-thinking oriented learning modules ofnetwork measurement systems for data acquisition and instrumentation. Our courseware wasdesigned based entirely on open source components: including commercial-off-the-shelf (COTS)Wireless Sensor Nodes (WSN) and open source TinyOS-based software. The objective is tointroduce students to system-thinking oriented design of networked measurement systems, takeinto consideration the details at component, system, and networking levels. The pedagogicalmodel harnesses a wide range of wirelessly networked hardware/software co-design skills inengineering and technology education to address a need in instrumentation and measurementworkforces. Students learn about the system-oriented design procedures, configuration andprogramming of wirelessly networked sensor nodes, visualization and analysis of monitoringdata from any individual sensor on the node, as well as the state of the node. The twenty-twolearning modules developed for the networked measurement systems cover topics from how toselect a sensor, fundamentals in analog and digital systems, and fundamentals of networking anddata logging. Six exemplary hands-on experiments and projects are depicted to show how theycan be reused in multiple courses across the engineering and technology curriculum. After goingthrough these learning modules, students will be able to implement and deploy a completenetworked measurement system solution.

Yuan, X., & Malki, H., & Yuan, X. (2013, June), Developing System-Thinking Oriented Learning Modules of Networked Measurement Systems for Undergraduate Engineering Curriculum Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19420

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