Columbus, Ohio
June 24, 2017
June 24, 2017
June 28, 2017
Electrical and Computer
26
10.18260/1-2--27555
https://peer.asee.org/27555
1221
Dr. Lanzerotti is an Assistant Professor of Physics at Augsburg College (Minneapolis, MN), an Adjunct Associate Professor of Computer Engineering in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, and an Affiliate Researcher at the University of Minnesota (Minneapolis, MN). She received her A.B. summa cum laude from Harvard College, M. Phil. from University of Cambridge (U.K.), and her Ph.D. from Cornell University, all in physics.
Christopher I. Allen is the Deputy Chief of the Battlespace Environment Division, Air Force Research Laboratory, Space Vehicles Directorate, Kirtland Air Force Base, New Mexico. He received his B.S. in electrical engineering from the University of Houston in 1993, his M.S. in electrical engineering from the Air Force Institute of Technology (AFIT) in 2010, and his Ph.D. in electrical engineering from AFIT in 2015. His research interests include microelectronics, the energy value of information, and effects of radiation on electronic devices.
Michael Seery is a graduate of the United States Air Force Academy (BS, Computer Engineering) and the Air Force Institute of Technology (MS, Computer Engineering). His thesis work, "Complex VLSI Feature Comparison for Commercial Microelectronics Verification", and its derivative works have been presented at GOMACTech and NAECON as well as highlighted by the Armed Forces Communications and Electronics Association. He is a member of Tau Beta Pi and Eta Kappa Nu.
Mr. Orlando is a Senior Research Engineer with the Air Force Research Laboratory Sensors Directorate Wright Patterson AFB. Over his career Mr. Orlando focused on integrated circuit design for advanced electronics systems using the state of the art commercial design environments. Currently, Mr. Orlando is the lead for the Integrated Microelectronics Research Facility.
Farid Khafizov received a Master of Science degree from the University of Kazan in Kazan, Russia, and a Ph.D. degree in mathematics from the University of North Texas, in Denton, Texas, U.S.A. In 1996 he joined Nortel Networks, assuming various functional roles including management and technical leadership positions in wireless system research, design, and business development. In 2007 he began working at Huawei, where he was a Chief Engineer and Head of System Design and Optimization. Currently Dr. Khafizov is a Sr. Lecturer at the University of Texas at Dallas. His research interests include system design, resource management algorithms, self-organizing systems, statistical learning, predictive modeling, and massive data analysis.
For the United States to maintain a globally competitive advantage in an increasingly advanced technology-based society, science and engineering curricula must produce technically competent leaders, researchers, scientists, and engineers. No field is more important in this regard than semiconductor design and fabrication of integrated circuits (ICs). A state-of-the-art course sequence in ICs that produces technically-competent circuit designers must include exposure to real-world design experience. This paper describes a three-year study to introduce nine learner-centered instructional techniques into a two-course electrical engineering graduate course sequence in ICs targeted to real-world problems in industry, defense, and security. The study measures the student learning in this two-course sequence with the use of a pre-test/post-test teaching methodology and is carried out through a collaboration of Air Force Research Laboratory Sensors Directorate and the Air Force Institute of Technology. The participants in the study were officers at AFIT. Military graduates from AFIT become project managers in national organizations, technology leaders in defense organizations, and practicing engineers at institutions such as AFRL.
In recent years, considerable attention has been given to pretest-posttest knowledge gain assessment. Results presented in this paper demonstrate the effectiveness of a pre-test/post-test teaching methodology even when data is restricted to samples of small size. In addition to being an objective measurement of knowledge gain, this approach provides a framework for accurately assessing the influence of other factors on a student’s success. Results presented in this paper show that a statistically significant improvement was observed in the first course of the two-course sequence when the Diagnostic and Post-Diagnostic evaluation results were compared. Analysis of the final exam results for one course for Year 2 and Year 3 shows that there is statistically significant improvement in performance. This change is attributed to the improved teaching methodology presented in this paper.
Future work will build statistical models for identifying what causes students the most difficulty in learning, so that the education can be made more effective.
Lanzerotti, M. Y., & Allen, C. I., & Doroski, M., & Medve, C., & Seery, M., & Orlando, P. L., & Khafizov, F. T. (2017, June), An Electrical Engineering Graduate Course Sequence in Integrated Circuits Targeted to Real-World Problems in Industry, Defense, and Security Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--27555
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