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 de- sign, resource management algorithms, self-organizing systems, statistical learning, predictive modeling, and massive data analysis. c American Society for Engineering Education, 2017 1 An Electrical Engineering Graduate Course Sequence in Integrated Circuits Targeted to Real-World Problems in Industry, Defense, and SecurityAbstractThis
or through the NSF grant. The relationships that are establishedbetween the mentors and the undergraduate students are crucial in motivating the students to dotheir best work and to increasing their interest level in the pursuit of careers in research. Thefaculty mentors are expected to foster this relationship to a point where the mentor becomes apotential reference for the students and/or their advisors in graduate school.Appropriate Projects: The intellectual focus area of the REU site must match the targetapplicant pool. In the case of the IREECE program, the projects were selected to appeal to youngstudents. The projects were selected to cover a broad spectrum of areas, such that participantswere likely to find at least one area of
part-time students who were in no hurry to graduate, the Capstone Experience dragged on for up to five quarters.As part of our ongoing ABET assessment process and after several teams completed theprogram, we made some significant changes and these changes represent the CapstoneExperience as currently implemented. Three key changes were implemented: 1. The Capstone course was extended to two quarters. Capstone I is a two-credit course in which the students research the project and create a formal specification that must be approved by their industry mentor. Capstone II is a three-credit course in which the students actually build, debug and validate their design. Capstone II ends with a report, a
by trend line equation)For example, the change in sensor reading from 5 cmto 10 cm was much greater than the change in sensorreading from 30 cm to 35 cm. To account for the Figure 8.0 Sensor Output vs. Distance [cm]non-linear characteristics of the IR sensors thestudents needed to develop an approximate managerial and invaluable teamwork experiences.exponential curve that was best fit. To do so, The process of starting a research project and seeingstudents placed the host RC at different distances it through has many moving parts which the teamranging from 10 cm to 40 cm while measuring the was unfamiliar with but can now say they
facultyloads are reasonable. Student confidence increases as students participate in a challenging projectwith a high potential for success. TA and faculty loads are managed by the availability of: 1) adedicated youTube channel that provides a series ¡of “how-to” and demonstration videos, and 2) acomprehensive set of test software and hardware fixtures that help students to incrementally testtheir system to ensure that each implemented module meets specifications and is bug-free. The“how-to” videos teach students how to use commercial design software based on best practices.Demonstration videos depict, in an unambiguous way, the system behavior that is expected duringthe pass-off of each milestone.The resulting laser tag system runs on battery power
Paper ID #18696Development of an Experimental Platform for Analysis of Cyber Attacks onthe Power GridMr. James Dylan Kollmer, Temple University James Kollmer is currently a second year master’s student in Electrical and Computer Engineering at Temple University. His research is focused on networked control systems and more specifically, Smart Grid resiliency and protection schemes via control theory applications. He is particularly interested in power systems, power electronics, and resilience control applications. Before coming to Temple Univer- sity, he graduated from East Stroudsburg University and Temple University
processing for wireless sensor network applications and secure communications in wireless networks.Dr. John Andrew Lund, Western Washington University Dr. Lund’s research involves the development of novel control systems, sensing and measurement tools for unique environments. His previous and ongoing research efforts include the development of a high- resolution wireless instrumented mouthguard for the assessment of severity of head impacts, development of an ultra-long lifespan wireless sensor devices designed to form robust data networks in remote areas lacking infrastructure, and the development of of an electron-tunneling spectroscopy based microscope control system for molecular analysis.Prof. Todd D. Morton, Western
and Technology, Ghana. Dr. Attia has over 75 publications including four engineering books. His research interests include innovative electronic circuit designs for radiation environment, radiation testing, and power electronics. Dr. Attia is the author of the CRC book, Electronics and Circuits Analysis Using MATLAB, 2nd Edition He has twice received outstanding Teaching Awards. In addition, he is a member of the following honor societies: Sigma Xi, Tau Beta Pi, Kappa Alpha Kappa and Eta Kappa Nu. Dr. Attia is a registered Professional Engineer in the State of Texas.Dr. Lisa D. Hobson Ph.D., Prairie View A&M University Dr. Lisa Hobson is Associate Professor of Educational Leadership at Prairie View A&M
Security and Software Engineering Research Center (S2ERC). Prior to joining ISU he was at Northwestern University in Evanston, IL, where he graduated with his Ph.D. degree in Electrical and Computer Engineering in 2006, his M.S. degree in Electrical and Computer Engineering in 2002, and his B.S. degree summa cum laude in Computer Engineering in 2001. While at Northwestern University, Dr. Zambreno was a recipient of a National Science Foundation (NSF) Graduate Research Fellowship, a Northwestern University Graduate School Fellowship, a Walter P. Murphy Fellowship, and the EECS department Best Dissertation Award for his Ph.D. dissertation titled ”Compiler and Architectural Approaches to Software Protection and
flipped classroom pedagogy and hands-on experimental practice promotes thehierarchy of student learning in groups. The paper concludes with a discussion of need forfurther research on faculty developmental patterns, how they are impacted by varied supports,and the need for more research on the role of student grouping and related outcomes.IntroductionInstructional processes and supporting curriculum in higher education STEM settings areundergoing rapid reform; institutions are now striving to match the needs of incoming students,the expectations of business and industry, and the requirements of technological advances. Newor refined pedagogy is now being implemented that reflects real-world problem solving; theemphasis in today’s STEM classroom is
that have been attempted over the past two decades at asummer science camp for high school students. The most successful designs are showcasedalong with the teaching methodology that produced them. The project was designed to teachstudents about engineering research, teamwork, and electrical engineering principles. To assessthe outcomes, the journal papers written by the teams of high school students and feedback fromformer students who are now engineers were analyzed. The student’s papers show that everyyear the project resulted in a circuit that could at least produce sound. The students surveyedoverwhelmingly considered the project an influentially positive experience. Former studentsconsistently reported that the greatest impact was not
particular, physical therapy students are often subject to skills checks, where theymust demonstrate competency in standard techniques for physical therapy practice. Thisapproach was adapted to an introductory circuit theory lab, in which students were given regularskills checks to test competency with hardware and software standard in circuit theory courses.Data were collected for three years by asking students to complete anonymous Likert scalesurveys designed to allow students to self-assess their achievement of the laboratory learningoutcomes. The first year was a control group in which performance-based assessment was notused, while year two and three were separate experimental groups which were subject to skillschecks. As a result of the