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Computational Modeling and Interdisciplinary Projects for Engineering Technology Students

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Conference

2017 ASEE Annual Conference & Exposition

Location

Columbus, Ohio

Publication Date

June 24, 2017

Start Date

June 24, 2017

End Date

June 28, 2017

Conference Session

Emerging Computing and Information Technologies II

Tagged Division

Computing & Information Technology

Tagged Topic

Diversity

Page Count

21

Permanent URL

https://peer.asee.org/28061

Download Count

56

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Paper Authors

biography

Mohammad Rafiq Muqri DeVry University, Pomona

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Dr. Mohammad R. Muqri is a Professor in College of Engineering and Information Sciences at DeVry University. He received his M.S.E.E. degree from University of Tennessee, Knoxville. His research interests include modeling and simulations, algorithmic computing, analog and digital signal processing.

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Javad Shakib DeVry University, Pomona

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James R. Lewis DeVry University, Pomona

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Abstract

Abstract

The advances in nanotechnology, tissue engineering, and robotics has precipitated the need for engineering technology students who can understand and contribute to simulation and development of computer models for complex command, communications, biological and control systems.

The engineering faculty at our university is developing multidisciplinary projects/classes, which include hands-on application-oriented laboratory exercises, which can actively engage students. These laboratory projects will also be helpful to students who will take capstone senior project coursework.

This paper will discuss the new, interesting multidisciplinary projects and attempt to incorporate real world applications in robotics, biomedical signal processing, signal transduction, instrumentation and control theory. The new labs are not limited to learning and teaching the solutions to differential equations for signal transduction, and enzyme phosphorylation.

These multidisciplinary labs employing practical Python, MatLab/Simulink, and LabView endeavor to engage our students, enhance their skill-set and challenge their creativity. Students will be encouraged to co-author and present numerous research papers introducing novel solutions in different conferences. The result of this new approach is expected to strengthen the capacity and quality of our undergraduate degree programs and enhance overall student enrollment. It will open new horizons and expand the breadth of faculty and student involvement in research and development.

Muqri, M. R., & Shakib, J., & Lewis, J. R. (2017, June), Computational Modeling and Interdisciplinary Projects for Engineering Technology Students Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/28061

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