June 24, 2017
June 24, 2017
June 28, 2017
Computing & Information Technology
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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