techniques. The primary focus of his studies at OU has been in power systems, and he will be joining the ExxonMobil Corporation in Baton Rouge, La., upon graduation.Dr. Mark B. Yeary, University of Oklahoma Mark B. Yeary received the B.S. (honors), M.S., and Ph.D. degrees from the Department of Electrical Engineering, Texas A&M University (TAMU), College Station, in 1992, 1994, and 1999, respectively. Following his graduation in 1999, he was a member of the DSP group and a lecturer with the Depart- ment of Electrical Engineering, TAMU, where he continued to lead a variety of industrially sponsored projects. Since Fall 2002, he has been with the University of Oklahoma (OU)’s School of Electrical and Computer
theIEEE Region-5 competition platform during the first part of the semester. In addition to thetheoretical coverage of the course subjects and hands-on design preparations, the teams werefurther asked to a) develop and submit a project design, timeline and a required component listfor the robot assembly based on the 2011 IEEE Region-5 competition guidelines, deadlines andobjectives; b) participate in the mentorship program; and, c) to establish an official robotics club.All robot design components were obtained by the project management based on the teamproposals. The students enhanced their robotics educational experiences significantly byproviding mentorship to a number of middle-high schools teams during the local BEST middle-high school
as the one shown in Figure 4. Page 25.89.4Figure 1: Partially pre-wired protoboard for a state machine implementation.12 X=1 A (00) X=1 X=0 X=1 C B (10) X=0 (01) Figure 2: State Transition Diagram for X=0 example system..12
Education. Honolulu, HI, 2007.4. M. Haungs, J. Clements, and D. Janzen, “Improving engineering education through creativity, collaboration, and context in a first year course,” ASEE Annual Meeting, Pittsburgh, PA, 2008.5. Council on Competitiveness, Innovate America, 2005.6. K. Kazerounian and S. Foley, “Barriers to creativity in engineering education: A study of instructors and students perceptions,” Journal of Mechanical Design, vol. 129, pp. 761-768, July 2007.7. N. Genco, N., K. Hölttä-Otto and C. C. Seepersad, “An experimental investigation of the innovation capabilities of engineering students,” ASEE Annual Meeting, Louisville, KY, 2010.8. B. Cooperrider, “The importance of divergent thinking in engineering
AC 2012-3579: A NOVEL WEB-BASED SUPPORT TOOL FOR LEARN-ING RANDOM VARIABLESDr. Anahita Zarei, University of the PacificDr. Jinzhu Gao, University of the PacificMr. Jason Roy OrtizMr. Alan Joe Page 25.84.1 c American Society for Engineering Education, 2012 A Novel Web Based Support Tool for Learning Random VariablesAbstractIn probability and statistics, a random variable is a function that assigns a number to eachoutcome of a random experiment. Random variables have various applications in differentscientific and engineering fields including health-care, genetics, communication, engineeringmanagement, etc. There is an
screen, or cellphone, or etc. may generate a plenty of RF noise), put a 10 resistor in series with the 10µF capacitor between pins 1 and 8. 3. Turn the amplitude of the function generator to a minimum. 4. Now, you need to setup amplitude modulation at the transmitter. Use TAs help if you have any questions. To do so: a. Push the button MOD/ON. b. Push the button MOD/EXT. c. Pull out MOD/DEPTH knob and rotate it all the way clockwise. d. Connect the cable from the back of the function generator to audio plug from your PC. e. Start play a sample audio clip “Sleep away” by Robert Acri. f. Slowly increase the amplitude of the function
experiment setup and output sample will also be described. The oldpower laboratory equipment is shown in Figure 1. Figure 1. Old laboratory equipment. (a) DC machine (b) Wound rotor AC machine (c) DC machine field control circuit (d) RLC load panel (e) resistor bank (f) DC machine starter (g) AC machine configuration Page 25.391.3 panel (h) AC machine starter2. Hardware DesignThe hardware design of the new laboratory has focused on cost-effectiveness whilemaintaining reasonably high performance. Furthermore, ability to offer a "real-world"experience has been taken into consideration as an important
engineering students is difficult; most consider privacyissues enough to squash this idea. The alumni themselves are hard to find. ABET seems to sense the difficulty and our evaluators weresatisfied with our limited survey results.Criterion 3’s program outcomes are a different matter. These are the abilities that students are supposed to have on graduation fromyour program. For example, the a-k outcomes that ABET suggests for a computer science program are: Page 25.90.2a) An ability to apply knowledge of computing and mathematics appropriate to the discipline;b) An ability to analyze a problem, and identify and define
13% 14% 0% 29% 57% 87% Page 25.1376.6Figure 4: Grade distribution: 2010 vs. 2011 6 7 5 6 A 5 A 4 Students Students B 4 B 3
Russian Language)15. Dewey, J.: How We Think: a Restatement of the Relation of Reflective Thinking to the Educative Process. Boston: Heath. (1933)16. Gokhale, A. A.: Collaborative learning enhances critical thinking," Journal of Technology Education, 7(1). (1995)17. Chan, Y.-Y., Lam, H. F., Yang, H. H. et al. : Hybrid Inquiry-based Learning, Handbook on Research on Hybrid Learning Model, Information Science Reference. (2010)18. Hofer, B. K: Dimensionality and Disciplinary Differences in Personal Epistemology, Contemporary Educational Psychology, 25, 378 – 405. (2000)19. Baxter Magolda, M. B. (1992). Knowing and Reasoning in College: Gender-Related Patterns in Students’ Intellectual Development, Jossey Bass, San
Defuzzification Crisp Input 2 Rule BaseFig. 10. A block diagram of the fuzzy controller utilized in this paper. S SB M MB B BB VS S SM SB B VB 1 1 0.8 0.8 Membership Membership 0.6 0.6 0.4 0.4
).2. S. Coradeschi and J. Malec “How to make a challenging AI course enjoyable using the RoboCup soccer simulation system, in RoboCup-98: Robot soccer world cup II: Lecture notes in artificial intelligence, vol. 1604, pp.120-124, ed. M. Asada and H. Kitano. Berlin: Springer, (1999).3. M. Goldweber, et al. “The use of robots in the undergraduate curriculum: Experience reports,” Panel at 32nd SIGCSE Technical Symposium on Computer Science Education, Charlotte, North Carolina..4. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments with LabVIEW and the LEGO NXT Platform,” submitted to the ASEE Annual Conference and Exposition, San Antonio, (June 2012).5. F. Klassner, K. Lehmer, J.C. Peyton Jones
, Release 2.5.2, 21st February, 2008, Python Software Foundation.11. B. Chatterjee, D. Dey, and S. Chakravorti, "A Modular Approach for Teaching Partial Discharge Phenomenon Through Experiment", IEEE Transactions on Education, vol. 54, no. 3, august 2011, pp. 410-415. Page 25.455.9
PAUL R. LEIFFER, PhD, PE Paul R. Leiffer is a professor in the School of Engineering and Engineering Technology and Chairman of the Engineering Department at LeTourneau University, where he has taught since 1979. He is the co-developer of LeTourneau’s program in BioMedical Engineering. He received his B.S.E.E. from the State University of New York at Buffalo and his M.S. and Ph.D. degrees from Drexel University. Prior to joining the faculty at LeTourneau, he was involved in cardiac cell research at the University of Kansas Medical Center. His professional interests include bioinstrumentation, engineering design, digital signal processing, and engineering ethics. Email: paulleiffer@letu.edu
AC 2012-4308: INTRODUCING GRAPHICS PROCESSING FROM A SYS-TEMS PERSPECTIVE: A HARDWARE/SOFTWARE APPROACHMr. Michael Steffen, Iowa State University Michael Steffen is a Ph.D. candidate in computer engineering and NSF Graduate Research Fellow. His research interests include computer architecture, graphics hardware, computer graphics, and embedded systems, and specifically he focuses on improving SIMT processor thread efficiency using a mixture of custom architectures and programming models. He received a B.S. degrees in both mechanical engineer- ing and electrical engineering from Valparaiso University in 2007.Dr. Phillip H. Jones III, Iowa State University Phillip H. Jones received his B.S. degree in 1999 and
DSP and FPGA, and designing and implementing digital signalprocessing methods, and Radio RF components such as Antenna, LNA, Mixer and RF Filters.This paper investigates the contents and the dynamics of a set of curriculum for WirelessCommunications. A survey that is distributed across multiple industries in WirelessCommunication is analyzed to determine (a) the general topics (curriculum subsets) that shouldbe covered to create a complete curriculum in Wireless Communications, (b) specificinformation that should be transferred in each general topic (curriculum subset), and (c) topicsimportant for developing hands on experience and improving students skills (such as lab andenterprise experiences).1. IntroductionWireless communications has
Page 25.486.2through the Electrical Engineering or Computer Engineering programs. Incorporation of globallearning into our curriculum gives us an opportunity to better prepare our students for careers astruly global engineers 3;6 .Three key results of this integration of global learning elements into the ECE curriculum are thefollowing: 1. Several elements of global learning were already present in our ECE curriculum, but were not formalized or assessed. The most common were: (a) Discussion of historical background of course topic; (b) Sustainability, in the form of efficient design or use of resources (for example, mini- mized logic, efficient code or spectrum usage). 2. Global learning
enableimmediate localized hands-on exploration of STEM education principles, devices, and systemsthat have historically been restricted to expensive laboratory facilities. a Page 25.943.2a Hardware/software platforms are now readily available from a variety of sources including RPI’s Mobile StudioI/O Board and similar products developed by National Instruments® and Digilent®.Notable among these is the Mobile Studio learning platform developed at RPI. b A typicalexperimental configuration for a mobile studio based activity is shown below. The laptop, USBcable and Mobile Studio I/O board and Desktop Software provide the necessary
AC 2012-3167: INFORMATION ASSURANCE STUDENT GROUP: HOWTO TURN A CLUB INTO A VALUABLE LEARNING EXPERIENCE FORSTUDENTSDr. Julie Ann Rursch, Iowa State University Julie A. Rursch is currently is a Ph.D. candidate in the Department of Electrical and Computer Engineering at Iowa State University. She will graduate with a degree in computer engineering with a focus on secure computing. Her research includes a unique approach to critical infrastructure modeling which provides emergency planners and first responders with resilient and flexible critical infrastructure evaluation in the face of non-recurrent, disruptive events. Her approach creates a new paradigm for modeling critical infrastructure sectors, analyzing real
developers,the emphasis is on providing the knowledge they need to select and use cryptographic softwareappropriately.ProjectsThe course contains two major projects: a project case study and a programming assignment.For the case study, students will work in teams of two or three to assess the security of a large,open source software product. Students are required to select a case study that has (a) significantsecurity implications if exploited, (b) a public record of fixed vulnerabilities, and (c) publicly-available source code. The project involves incrementally submitting three parts of a paper:domain analysis, design analysis, and code analysis. As the material is covered in class, studentsanalyze their own case studies to enumerate the threats
AC 2012-5383: DESIGN TOOLS: THE SOPHOMORE COURSE IN A FOUR-YEAR DESIGN SEQUENCEDr. Jeffrey L. Schiano, Pennsylvania State University, University Park Jeffrey L. Schiano is an Associate Professor of electrical engineering at the Pennsylvania State University. He earned a bachelor’s of science degree in electrical and biomedical engineering (with university honors) from Carnegie Mellon University in 1983, and the master’s of science and doctorate of philosophy degrees from the University of Illinois, Urbana-Champaign (UIUC) in 1985 and 1991, respectively. His expertise is in the areas of feedback control systems and magnetic resonance engineering
AC 2012-3915: STRUCTURING A SYSTEM DESIGN LABORATORY COURSETO FACILITATE OUTCOMES ASSESSMENTProf. Victor P. Nelson, Auburn University Victor P. Nelson is a professor and Assistant Chair of electrical and computer engineering at Auburn University. His primary research interests include embedded systems and computer-aided design and testing of digital systems and application-specific integrated circuits (ASICs). He is co-author of the textbook Digital Logic Circuit Analysis and Design and a tutorial book on fault-tolerant computing. He has been Chair of the ECE Curriculum Committee, Coordinator of the ECE Graduate Program, and served one year as Associate Dean for Assessment in the College of Engineering. He is a
compatible with spreadsheets or other analysistools. The experiment is a cantilever beam with strain gauges mounted on the top and bottom ofthe beam. The interface circuitry incorporates a Wheatstone bridge and instrumentation amplifierwhose output is monitored by one of the Mobile Studio oscilloscope channels. The voltage fromthe bridge is calibrated to represent the displacement of the beam as it oscillates. Note thecharacteristic decaying sinusoid of an harmonic oscillator displayed on the laptop screen. Thissetup is used for a laboratory experiment and a design project in RPI’s ‘ElectronicInstrumentation’ course, which is taken by students outside of electrical engineering.17, 18 C B
AC 2012-4400: EVALUATION OF COOPERATIVE LEARNING ASSIGN-MENTS AS A SUPPLEMENT TO HOMEWORK TO IMPROVE STUDENTLEARNINGDr. Craig A. Chin, Southern Polytechnic State University Craig A. Chin received his Ph.D. in electrical engineering from Florida International University in 2006. He is currently an Assistant Professor in the electrical and computer engineering technology at Southern Polytechnic State University. His research interests include biomedical signal processing, pattern recog- nition, and active learning techniques applied to engineering education.Dr. Garth V. Crosby, Southern Illinois University, Carbonale Garth V. Crosby is an Assistant Professor in the Department of Technology at Southern Illinois University
AC 2012-3585: IMPROVING ENGINEERING RECRUITMENTProf. Dale Anthony Carnegie, Victoria University, Wellington Dale Carnegie is the Head of the School of Engineering and Computer Science at Victoria University in Wellington, New Zealand. He founded and directs the Mechatronics Research Group. He has degrees in applied mathematics, theoretical physics, electronics, and computer ecience. His current areas of expertise include mechatronics, sensors, embedded control systems, and engineering education.Mr. Craig A. Watterson, Victoria University, Wellington School of Engineering and Computer Science Page 25.745.1
AC 2012-5049: USEFUL STRATEGIES FOR IMPLEMENTING AN ON-LINE UNDERGRADUATE ELECTRICAL ENGINEERING PROGRAMDr. Craig J. Scott, Morgan State University Craig Scott is a professor and Chairperson for the Department of Electrical and Computer Engineering at Morgan State University, Baltimore, Md. He is currently directing research in developing tools for visual analytics, image/spatial data fusion, and aircraft synthetic vision systems. Additionally, he is conducting pedagogical studies on learning technologies and remedial math preparation for engineering students. He instructs courses in electromagnetics, solid state theory, characterization of semiconductor materials, computer vision, and computational electrical
AC 2012-3187: SERVICE LEARNING: ASSISTIVE TECHNOLOGY UN-DERGRADUATE DESIGN PROJECTSDr. Steven F. Barrett, University of Wyoming Steven F. Barrett, Ph.D., P.E., received a B.S. in electronic engineering technology from the University of Nebraska, Omaha, in 1979, a M.E.E.E. from the University of Idaho at Moscow in 1986, and a Ph.D. from the University of Texas, Austin, in 1993. He was formally an active duty faculty member at the U.S. Air Force Academy, Colorado, and is now professor of electrical and computer engineering and Associate Dean for Academic Programs, College of Engineering and Applied Science, University of Wyoming. He is a member of IEEE (senior) and Tau Beta Pi (Chief Faculty Advisor). His research
above, it may be concludedthat 36% of students showed an awareness of Newton’s third law. By contrast, 53% of studentschose answer (b), believing that the larger current would exert a stronger force. Similar resultswere obtained by Maloney et al1 in testing students enrolled in general-physics courses: about45% of both algebra-based and calculus-based students answered (b) in both the pretest and theposttest. Encouragingly, Maloney et al did find an improvement from the pretest to the posttestfor option (c), 7% versus 22% for the calculus-based students.Another year-two pretest question asked students to compare the forces that unlike, unequalpoint charges exerted on each other. Students were not offered the distractor choice of unlikecharges
; Inan,3 and Ulaby et al.4 considers that transmission line effects may besignificant for wire length-to-wavelength ratio as low as 0.01. In this paper, a MATLABdemonstration5 illustrates when a distributed transmission line must be used to model wireinterconnects.Figure 1(a) shows a load RL connected to a source (of voltage vs and source resistance RS) Page 25.918.2through a pair of connecting wires of length l. The voltage across the load, vL, is to be examined Figure 1: (a) Connecting wires between source and load are modeled by a length l of transmission line. (b) Equivalent circuit with input impedance Zin replacing
(kHz) Figure 7: Spectrum of Recording of Owl Hoots and Backup BeeperTherefore a lowpass filter can be designed to pass the owl hoots and eliminate the backupbeeper. Although FIR or IIR filters could be used in this application, the author uses this projectwhile teaching FIR filters. The students are simply asked to design an FIR filter that eliminatesthe sound of the backup beeper while passing the owl hoots. The MATLAB commands todesign and test one possible FIR filter with a cutoff frequency of 730 Hz are shown below. [x,fs] = wavread('owl_beep.wav'); % load audio file soundsc(x,fs) % listen to the input file b