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Teaching and Learning of Electrical and Computer Engineering Courses with High Mathematical Contents

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2019 ASEE Annual Conference & Exposition


Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

New Developments in ECE

Tagged Division

Electrical and Computer

Tagged Topic


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Paper Authors


Seyed Mousavinezhad Idaho State University

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Dr. Mousavinezhad, P.E., was the principal investigator of the National Science Foundation’s research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE Fellow having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical Engineering and Computer Engineering. He is Founding General Chair of the IEEE International Electro Information Technology Conferences. Hossein served as 2002/2003 ASEE ECE Division Chair. He was IEEE Education Society Membership Development Chair and now serves as MGA Vice President (2013/2014) and Van Valkenburg Early Career Teaching Award Chair. Dr. Mousavinezhad received Michigan State University ECE Department’s Distinguished Alumni Award, May 2009. He is recipient of ASEE ECE Division’s 2007 Meritorious Service Award, ASEE/NCS Distinguished Service Award, April 6, 2002, for significant and sustained leadership. In 1994 he received ASEE Zone II Outstanding Campus Representative Award. He is also a Senior Member of IEEE, has been a reviewer for IEEE Transactions including the Transactions on Education. His teaching and research interests include digital signal processing (DSP) and Bioelectromagnetics. He has been a reviewer for engineering textbooks including Essentials of Digital Signal Processing, Cambridge University Press, 2014, "DSP First", published by Prentice Hall, 1998 and Signal Processing First, Prentice Hall, 2003. He is a member of the Editorial Advisory Board of the international research journal Integrated Computer-Aided Engineering.

Professor Mousavinezhad was EE/EECS Department Chair, 2007-2013 and teaches classes in circuits & systems, digital signal processing and communication systems. Before joining Idaho State University in 2007, Dr. Mousavinezhad served as Electrical/Computer Engineering Department Chair and Professor at Western Michigan University, Kalamazoo, Michigan. He has been an invited keynote speaker for national and international conferences. He has been a Program Evaluator for ABET Electrical/Computer Engineering, Computer Science and Engineering programs in the US and for international programs.

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Ed Tatar Ph.D. Idaho State University

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Dr. Tatar received a BS degree in Physics from Sofia University, Bulgaria in 1989. He worked as a junior physicist at the Joint Institute for Nuclear Research in Dubna, Russia, before moving to the USA to study Physics at the University of Notre Dame under the supervision of Professor Neal Cason. In 1999 Mr. Tatar presented a paper on Groups and Representation Theory and was awarded a MS degree in Applied Mathematics. A year later, he completed a dissertation on Hadron Spectroscopy of Light Mesons and earned a PhD in Experimental Particle Physics. Dr. Tatar joined the faculty of Idaho State University in August 2001, where he remains until now.
Dr. Tatar’s scientific interests are in experimental and phenomenological studies of strong and weak interactions and the possible extensions of the Standard Model. He was a member of the team that discovered the first mesons with exotic quantum numbers, after analyzing a large data set from Brookhaven National Laboratory. His current scientific work includes high-precision measurements of the neutron decay asymmetry at Los Alamos, and neutrino oscillation experiments at Fermilab.

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Cheryl Xu North Carolina State University

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Dr. Cheryl Xu received her Ph.D. degree in 2006 from Purdue University. Her research interests are: high temperature wireless sensing, multifunctional ceramic composites, and artificial intelligence (AI) for process modeling/control. Dr. Xu is active in conducting research in the field of materials and advanced manufacturing and has attracted a high level of research funding ($5.5M). She has graduated six Ph.D. and five M.S. students. She has co-authored a textbook (Intelligent Systems: Modeling, Optimization and Control, CRC Press, 2008) and written four book chapters. She has published about 50 peer-reviewed journal articles and 30 refereed conference proceedings. She has nine US patent applications.
Dr. Xu won the Office of Naval Research (ONR) Young Investigator Award and was awarded the Society of Manufacturing Engineering (SME) Outstanding Young Manufacturing Engineer Award in 2011. She was the only recipient of the IEEE Education Society Teaching Award in 2015, chaired NSF National Wireless Research Collaboration Workshop in 2015 and serves as an Associate Editor of ASME Transactions, Journal of Micro- and Nano- Manufacturing since 2015.

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Teaching and learning of electrical and computer engineering courses with high mathematical contents

ABSTRACT. In engineering subjects where many topics deal with mathematical abstractions, it is challenging for students to fully understand and learn the concepts and apply them to solve given problems. We have taught classes in Signals and Systems as well as Digital Signal Processing and Electromagnetics (EM) and have found it useful to supplement lectures with examples where some solutions are presented using software packages and simulations. This Fall we are trying to present examples in the electromagnetics class where given problems are solved using concepts learned in the class followed by results, graphical representations obtained using modern tools for illustration and graphical representation. These software tools are available in our engineering computer Labs and students can try these solutions outside of the classroom as well. It is useful at the start of the course to show what are applications of materials they will learn in the course. One useful example is wireless communications, e.g., cellular phone system, where for example antennas are used as transmitting and receiving systems for electromagnetic waves carrying information signals. In their next course they will also encounter applications of digital signal processing (DSP), for example digital filters, used in smartphones. As electrical/computer engineering educators are using more and more information technology tools in the classroom, it is important that these modern tools are used at the right place, right time to enhance student learning. One approach will be to first introduce students to concepts and science/engineering principles then use the software package to verify results and for simulations purposes. In the case of electromagnetics ECE course the topics in the first course include studying static and stationary electric and magnetic fields, time-varying fields, wave propagation, Maxwell’s Equations, and transmission lines. Additional topics including antennas and waveguides may be difficult to cover in a one-semester course, but some schools cover these in a second EM course. Especially for a one-semester EM course use of demonstrations, computer simulations, examples using practical applications, will enhance student learning and some will be encouraged to elect more advanced courses dealing with antennas, waveguides, and microwave engineering. At the conclusion of the course we will be collecting assessment data for achievement of student outcomes covered in the course and present some data during the Annual Conference.

Mousavinezhad, S., & Tatar, E., & Xu, C. (2019, June), Teaching and Learning of Electrical and Computer Engineering Courses with High Mathematical Contents Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33343

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