). xy abcdefg a y x y x 00 0111000 f g b 1 DQ DQ DQ 10 1100011 e d c 11 1101010 (0 lights the segments) 0 1 (blank) 1111111 Figure 5: Showing letters on the seven-segment displayThe functions for the seven segments of the display to
Research in Computing and Communications. His research interests include the performance analysis of computer and sensor networks, signal and image processing, and engineering education. He was a co-recipient of both the Myril B. Reed Best Paper Award from the 32nd Midwest Symposium on Circuits and Systems and the 1986 Best Paper Award for Authors under 30 from the Signal Processing Society of the IEEE. He has served as an associate editor of the IEEE Transactions on Circuits and Systems and was an elected member of the Board of Governors of the IEEE Circuits and Systems Society. He was the general chair of the 1997 IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing
for The Royal Academy of Engineering, UK (2006) 1, the paceof change in industry is expected to intensify in both the technological and non-technologicaldomains. Certain disciplines, including electrical/electronic and system engineering are seen asparticular likely to be of increasing importance over the next ten years. Looking at particularskills and attributes needed for engineers, there is strong evidence that the top priorities in termsof future skills will be: (a) practical applications, (b) theoretical understanding and (c) creativityand innovation. Page 22.1590.2The same report claims that certain topics are seen by students to be
study, andassistance from class instructors to post announcements on the course website, we recruitedstudents who met the following criteria: (a) they were 18 years of age or older; (b) they weremajoring in a CES major; and (c) were currently enrolled in one of two courses currentlyundergoing redesign: a second-year electrical engineering course called Circuits or a second-yearcomputer engineering course called Embedded Systems. Interviews took place in a private placeof the participant’s choosing, typically the interviewer’s office in another building on campus.Once informed consent was obtained, students completed a pre-interview survey to gatherdemographic information about them, and then interviews lasted on average 45-minutes to 1hour
instructors (“A”, “B”, and “C”) were involved in these trials. Page 14.608.6Question List: 1. I chose the traditional lecture option by default (i.e., arbitrarily). 2. I chose the traditional lecture option based on my Index of Learning Styles survey results. 3. I was glad that I had a choice between two different course delivery options. 4. I used the on-line lectures in addition to attending the “live” class lectures. 5. I used the on-line lectures instead of attending the “live” class lectures 6. The Lecture Workbook class note format helped me learn the course material. 7. I made effective use of both formats of the Lecture Workbook (skeleton and
improved.Worldwide Digital Design Competitions; Logistic and ChallengesAccording to a predecessor paper4 regarding the topic, “design contest is a good vehicle to offerstudents, outside the class, a consistent design experience”. Trying to organize a competitivedesign contest, organizers have set the following criteria: a) the complexity of the project relative to the author’s level of knowledge; b) the hardware is used to its capacity, in an ingenious and effective manner; c) the software is mainly original and fully functional; d) the core underlying idea is understandable, believable, innovative, creative, feasible, path-breaking; e) the feedback from the community, if existing, has influenced the project in a progressive
.[11] A. Koenig, B.E. Moo, Accelerated C++: Practical Programming by Example, Indianapolis, IN: Pearson Education, 2000.[12] N.S. Nise, “Digital Control Systems,” in Control Systems Engineering 6th ed. Hoboken, NJ: Wiley, 2011, pp. 723-780.[13] D. Ibrahim, Microcontroller Based Applied Digital Control, Hoboken, NJ: Wiley, 2006.[14] M. Buckland, Programming Game AI by Example, Sudbury, MA: Jones & Bartlett, 2005.[15] B. Schwab, AI Game Engine Programming 2nd ed., Boston, MA: Course Technology, 2009. Page 23.737.12
Paper ID #25890Teaching and Learning of Electrical and Computer Engineering Courses withHigh Mathematical ContentsDr. S. ”Hossein” Mousavinezhad P.E., Idaho State University 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
class. and responsive.current period)Theoretical background and research methodsResearch questionsThe practice of “flipping lectures” is based on assumptions that students are able to learn certaintypes of knowledge and skills without instructional support while requiring instructionalinterventions for other learning tasks.13, 14 For example, students are expected to read and knowposted online lecture notes before coming to the classroom, but need instructional support forproblem solving and other activities. To design an instructional model that flips lectures, twoquestions need to be addressed: (a) what learning activities are suitable in “flipped classrooms”,and (b) what instructional interventions are required. We applied the
that shown in Figure 2, but typically had simplertopologies. This curricular change led to another modest improvement in the initialmicroelectronics quiz and exam scores when compared to the previous year’s scores. Again, thisimprovement is discussed in the results section. 12V 3kΩ A 2IX 1kΩ 6kΩ B Figure 2: Example sophomore exam problem. Find Voc, Isc, and Rth.The third feedback round brought significant changes to the sophomore linear
AC 2008-544: EMPLOYING SOCRATIC PEDAGOGY TO IMPROVEENGINEERING STUDENTS’ CRITICAL REASONING SKILLS: TEACHING BYASKING INSTEAD OF BY TELLINGMichael Golanbari, University of the Pacific Michael Golanbari received the Ph.D. degree in Electrical and Computer Engineering from the University of California, Davis, in 1999. From 2000 to 2003 he was a communications systems engineer on the technical staff of Alantro Communications Corporation and Texas Instruments (TI) Corporation, Santa Rosa, California. At Alantro and TI, he worked on wireless local area network (WLAN) transceiver design and development (IEEE 802.11 a/b/g/n, WiFi). Since 2003 he has been on the faculty of the Department of
AC 2011-522: DISTANCE EDUCATION PROGRAM IN ELECTRICAL EN-GINEERINGEsteban Rodriguez-Marek, Eastern Washington University Esteban Rodriguez-Marek is an Associate Professor at Eastern Washington University.Min-Sung Koh, Eastern Washington University MIN-SUNG KOH obtained his B.E. and M.S. in Control and Instrumentation Engineering in the Uni- versity of ULSAN, South Korea, and his Ph. D in Electrical Engineering and Computer Engineering at Washington State University. He was with KEPCO (Korea Electric Power Co.) for 9 years before en- rolling in the Ph. D. program at Washington State University. In KEPCO, he worked at the NPP (Nuclear Power Plant) as a nuclear engineer. In the Fall ’02 quarter he joined the department
differently than they normally do. The authors believe that the single-most informative take-away from the Analog Page 26.430.5 Discovery exercises was the observation that it boosted students self-confidence. Researchhas shown that effective use of student teams has powerful positive impacts on minoritiesand women in terms of achievement and attitudes 10, 11.b) Summative assessment: A summative assessment was done by administering a survey tostudents of both courses after they had been provided experience on the ADB, and relatedlearning of some electrical engineering concepts. The responses of the survey formed animportant part of the
responsibility. V. Lessons LearnedThis paper concludes with reflections on lessons that were learned over the last four years whileattempting to perfect our outreach, recruiting, and retention programs. a) Don’t Lecture - Engage!This simple piece of advice was found early in the implementation of our program in an onlinearticle by Seelman.8 We interpreted this statement as talk less and show more. The pupils willlikely not remember your words, but they will remember the interesting things you show them. b) Don’t Spam the PupilsThere is nothing more time consuming than written and verbal correspondence. After initiallyputting considerable efforts on these activities, we started to realize that there was little responseor evidence that it made much
Engineering – Bioelectronics Option, and –Biocomputing Option (BioE or BioC, respectively) as shown in Table 1. Each of these coursesfollows a similar format. In the traditional format for these courses, there is a weekly one hourlecture which introduces or reviews concepts for the upcoming laboratory. The goal of thelecture component is to teach the students good engineering practice regarding lab work,including pre-lab preparation, lab procedures, and post-lab practices. The objectives for thelecture are to (a) review/explain needed concepts; (b) demonstrate the required analysis or designtechniques; and (c) introduce or reinforce appropriate lab or equipment procedures. The studentsthen complete a pre-laboratory assignment in which they are
Totals A 3 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 94 B 3 2 3 1 3 1 3 3 2 3 1 2 3 3 1 1 3 3 1 3 2 47 C 2 3 2 3 1 1 3 2
to compare it to the analyticalformulation presented above.>> n=0:1:10; B=[1]; A=[1, -5/6, 1/6]; x=2.^n; y=filter(B,A,x)y = 1.0e+003 * Columns 1 through 10 0.0010 0.0028 0.0062 0.0127 0.02550.0512 0.1024 0.2048 0.4096 0.8192 Column 11 1.683 1800 1600 1400 1200 1000 y(n) 800 600 400 200 0 0 1 2 3 4 5 6 7 8 9 10 nExample 2. Design a digital lowpass prototype filter using bilinear transformation (withpre-warping) and Chebyshev-I analog filter which has 0.5 dB ripple in the passband,0 Hz to 3.5 kHz. The minimum
studentsmay experience in a remote classroom.Generally, a flipped classroom embraces (a) an exposure to the content before the class meeting(e.g., video lectures), (b) a motivator for students to prepare for class, (e.g., pre-class oraccountability quizzes), (c) a method to assess student understanding, (e.g., graded accountabilityquizzes), and (d) higher-level cognitive in-class activities that involve active learning, peerlearning, and/or problem-solving [16]. In this study, we used short videos to present the materials.Also, accountability quizzes were used to motivate the students to pursue the videos. Problem-solving, group discussions, and demos were adapted as in-class activities. Finally, to assess studentlearning, we used graded homework
dothose on their own time.Finally, since the role of instruction is not to distribute facts but to grant students with ways toassemble knowledge, educators must find favored strategies that build students’ confidence andenhanced course relevance. This can be achieved through the continual investigation ofappropriate ways to introduce new technologies into the classroom.Bibliography[1] P. Cohen, B. Ebeling & J. Kulik, “A meta-analysis of outcomes studies of visual-based instruction,” Educational Communications and Technology Journal, 29, pp 26-36, 1981.[2] J. V. Powell, V. G. Aeby Jr. & T. Carpenter-Aeby, “A comparison of student outcomes with and without teacher facilitated computer-based instruction,” Computers &
contributing to thedevelopment of these projects. Page 11.777.14Bibliography[1] www.ece.utah.edu/~cfurse/NSF[2] C. Furse, L. Griffiths, B. Farhang, G. Pasrija, “Integration of signals/systems and electromagnetics coursesthrough the design of a communication system for a cardiac pacemaker,” IEEE Antennas and PropagationMagazine, Volume 47, Issue 2, April 2005 Page(s):117 – 119[3] C.Furse, R.Woodward, M. Jensen, "Wireless Local Area Network Laboratory for Microwave EngineeringCourses," IEEE Trans. Education,Feb2004, pp.18-25[4] Frank Cassara, personal communication, Polytechnic University, 1999[5] Numerical Electromagnetics website, www.ece.utah.edu
Recognition, 2015.17. A G. Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, M Andreetto, H Adam. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, Computer Vision and Pattern Recognition, 2017.18. Available at: https://developer.apple.com/machine-learning/core-ml/19. Available at: https://developer.android.com/studio20. Available at: https://matplotlib.org/21. Available at: https://pandas.pydata.org/22. Available at: https://numpy.org/
Mai. A. (2014, June), Synchronized Robot: A PID Control Project with the LEGOMindstorm NXT, 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana.[3] Alavi, Z. and Meehan, K. (2019 June), Enhancing a Control Systems Design Course by UsingExperiential Learning Model, 2019 ASEE Annual Conference & Exposition, Tampa, Florida.[4] Dunne, B., Parikh, C. and Sterian, A. (2009 June), Introducing Sophomore Engineering Students ToControl Theory Using Mobile Robots, 2009 ASEE Annual Conference & Exposition, Austin, Texas.[5] Y. Kim (2011 August), Control Systems Lab Using a LEGO Mindstorms NXT Motor System, in IEEETransactions on Education, vol. 54, no. 3, pp. 452-461.[6] A. Valera, M. Valles, J. Tornero (2001), Real-Time Robot
Traditional Electrical Engineering Courses for Non-Traditional Students,” Proceedings of the 2008 ASEE Annual Conference, Pittsburgh, PA, June, 20083. M. Plett, D. Peter, S. Parsons, and B. Gjerding, "The Virtual Synchronous Classroom: Real Time Off-Campus Classroom Participation with Adobe Connect," Proceedings of the 2008 ASEE Annual Conference, Pittsburgh, PA, June, 2008.4. J. Crofton, J. Rogers, C. Pugh, K. Evans, "The Use of Elluminate Distance-Learning Software in Engineering Education," Proceedings of the 2007 ASEE Annual Conference, Honolulu, Hawaii, June, 2008.5. H. Salehfar, J. Watson, and A. Johnson, "Internet Based Class Presentations to Enhance Distance Engineering Degree," Proceedings of the 2003 ASEE Annual
is the larger the fiber loss is. The fiberbending loss is more sensitive to the longer wavelength light. Compared to the MM fiber, the SMfiber experiences more fiber bending losses. b. Fiber Continuity Testing and Core Size Identification: The objectives of this activity are totest the continuity of the optical fiber and to identify different optical fiber core sizes. Thematerials needed include inspection microscope and different optical fiber patch cords: 50/125,62.5/125, 9/125, and plastic fiber. Page 23.653.4 The first step to take when a problem occurs with a fiber link is to test the fiber continuity.Light was sent from one
testing techniques.Bibliography[1] ABET “Criteria for Accrediting Engineering Programs,” http://www.abet.org/wp- content/uploads/2015/04/E001-14-15-EAC-Criteria.pdf , accessed Jan. 30, 2016[2] M. McCracken, V. Almstrum, D. Diaz, M. Guzdial, D. Hagan, Y. B.-D. Kolikant, C. Laxer, L. Thomas, I. Utting, and T. Wilusz, “A multi-national, multi-institutional study of assessment of programming skills of first-year CS students,” ACM SIGCSE Bulletin, vol. 33, no. 4, pp. 125–180, 2001.[3] R. S. Lemos, “Measuring Programming Language Proficiency,” AEDS Journal, vol. 13, no. 4, pp. 261–273, Jun. 1980.[4] M. J. Stehlik and P.L. Miller, “Implementing a mastery examination in computer science,” 1985, downloaded from
to repeat this researchover the next several years and disseminate the results to the educational community in suitablepublications.References1. P. Cohen, B. Ebeling and H. Kulik, “A meta-analysis of outcomes studies of visual-based instruction,” Educational Communications and Technology Journal, vol. 29, no. 1, pp.26-36, March, 1981.2. J.V. Powell, V.G. Aeby Jr. and T. Carpenter-Aeby, “A comparison of student outcomes with and without teacher facilitated computer-based instruction,” vol. 40, no. 2, pp. 183-191, February, 2003.3. L. W. Nagel, “SPICE2: A Computer Program to Simulate Semiconductor Circuits.” Tech. Rep. UCB/ERL M520, University of California, Berkeley, 19754. A. S. Sedra and K. C. Smith, Microelectronic
point ofview is that having only half of the students in a lab section write notebook entries each weekgreatly reduces the grading load. We encourage others to consider the use of a notebook rotationstrategy as a way to ensure a better balance in the achievement of learning objectives by all teammembers in an engineering laboratory experience.References1. W. G. Bowers, “Notebooks in laboratory instruction,” J. Chem. Ed., vol. 3, no. 4, pp. 419-424, April 1926.2. J. B. McCormack, R. K. Morrow, H. F. Bare, R. J. Burns, and J. L. Rasmussen, “The Complementary Roles of Laboratory Notebooks and Laboratory Reports,” IEEE Trans. Educ., vol. 34, no. 1, pp. 133-137, February 1991.3. B. Beason, K. Cox, A. Saterbak, D. Caprette, and J. Bordeaux
(CMS), only difference was in the laboratory and simulation assignments.Various student learning (ABET) outcomes have been tested throughout the course for bothgroups. These outcomes are: an ability to (a) apply knowledge of mathematics, science, andengineering, (b) design and conduct experiments as well as analyze and interpret data, (c) designa system, component, or process to meet desired needs, and (k) use techniques, skills and modernengineering tools necessary for engineering practice.A post-assessment has been administered at the end of the course via an online survey. Onlinesurveys were used to ensure confidentiality of student responses. This also reduced data entryerrors and costs. Using online surveys, students have been asked their
proposedprocess.To further investigate these conclusions, Fisher's comparisons were conducted with a confidencelevel of 99% as illustrated in Figure 6-a,b,c. The outcome of these comparisons further supportsour initial conclusions that the improvement in students’ writing performance due to theimplementation of the proposed process is significant. (a) (b) (c)Figure 6 – Fisher pairwise comparisons of, (a) initial lab 1 vs revised lab 1; (b) initial lab 1 vs initial lab 7; (c) revised lab 1 vs revised lab 7In addition to SLO 1, students also completed surveys
10Bibliography1 Zimmerman, B. J., Bonner, S., & Kovach, R., 1996. “Developing self-regulated learners: Beyond achievement toself-efficacy.” Washington, DC: American Psychological Association2 Zimmerman, B. J. (1990). “Self-regulated learning and academic achievement: An overview,” EducationalPsychologist, 25, 3-17.3 Boekaerts, M. (1997). “Self-regulated Learning: A New Concept Embraced by Researchers, Policy Makers,Educators, Teachers and Students”, Learning and Instruction: Current and Future Directions”, Electronic Journal ofResearch of Educational Psychology, 2(1), pp 1-34.4 Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry.American Psychologist, 34, 906-9115 Mayer, R. (1998). 'Cognitive