for data collection, system monitoring, and remote control. Thesystem is required to simultaneously record data from 30 to 40 sensors with samplingfrequencies between kilo to mega samples/s depending on the diagnostic input level and speed.During the preliminary planning of the project, students were responsible for developing theDAQ system from the probe (sensor) amplifier box to the GUI interface. A flow diagram wascreated with a “systems engineering” approach to constructing a timeline and procedure fordevelopment of the system. Project management eventualy became the most prominent hurddle for the collaboration.There were many competing demands on multiple key contributors to the collaboration and timeon task was imperative for
were writing. Additionalinstructions on how to conduct peer review sessions were also provided on the TA website.Giving guided feedback was found to be a major aspect of importance in peer reviews (againthrough the use of a rubric) so that students knew what they were looking for. For instance, ifstudents were asked to include information on how the individual lab related to the overallproject, the peers were asked to circle or number the sentence(s) that included that information.Students were often surprised when their peers could not find information they thought they hadincluded, which meant their writing was not as clear as they thought it was. The process ofreviewing someone else’s paper also caused students to question how clearly they
Digital Age: Reconciling the Roles of Pedagogy,Technology, and the Business of Learning, IEEE Transactions on Engineering Management, November 2003.[4] Woit, D and D. Mason, “Effectiveness of Online Assessment”, SIGCSE ’03, February 2003.[5] Shen, J., K-E. Cheng, M. Bieber, and S. R. Hiltz, “Traditional In-class Examination vs. Collaborative OnlineExamination in Asynchronous Learning Networks: Field Evaluation Results, Conference on Information Systems,August 2004.[6] English, J., “Experience with a Computer-Assisted Formal Programming Examination”, ITiCSE ’02, June 2002. Page 14.925.8
requires the student to apply the knowledge of the three laboratory assignments to a realworld application. These applications include generating functional elements and libraries thatcan be used as building blocks in a larger VLSI implementation. The project is reviewed by thecourse instructor(s).Course 2 - Advanced VLSI DesignThe second course focuses on the “Early Design Planning” of complex SoC platforms andfeasibility analysis of critical circuits in the design. The students are required to do a class projectin lieu of individual lab assignments. The class project is designed to be as “real-world” aspossible utilizing a synthesizable open source Verilog model of a SoC as the design platform.The design platform undergoes detailed power and
exam questions. To determine the similarity of the SS1 and SS2’s exams in terms of difficulty, we firstclassified the questions from the four exams (two midterms and two finals) into five topicalgroups. These kinds of problems were tested on each exam in each iteration of the class. We thenrandomly sampled the questions in each group, selecting 23 questions in total. We asked severalfaculty members from the Engineering Department to use their expert opinions on the difficultyof each question without identifying which class or exam the questions originated. We wouldthen ask the experts to discuss the questions to evaluate the difficulty of each question and cometo a consensus, assigning each question a score of 1-5.1 – Not at all
Jun Ot cla Se o de gin s ph Fre Un En SoFigure 1: Total enrollment for four offerings of ENGR 40, from Spring 2012 through Fall
traditional class instruction and lab work. In newer use settings, thishomework often was for extra credit or exploratory purposes and was an extension of regularlyassigned work. As use became more embedded and the instructor(s) more familiar, inclusion inhomework reflected advanced opportunities to practice/learn material.Variations by Instructional Use. Method of use also varied by site with multiple uses found ateach of the 13 settings. The key methods of use included: 1) instructor demonstration (e.g.,faculty active; student passive, instructor usually at the front of the classroom); 2) cooperative(e.g. student-student dyad or triad collaboration working on a specific assignment in classroomand in lab settings); and 3) independent (e.g
Paper ID #12279Student Outcome Assessment and Course Continuity for Programs With Mod-erate Faculty TurnoverDr. Paul Benjamin Crilly, U.S. Coast Guard Academy Paul Crilly is an Associate Professor of Electrical Engineering at the United States Coast Guard Academy. He received his Ph.D. from New Mexico State University, his M. S. and B.S. degrees at Rensselaer Poly- technic Institute, all in Electrical Engineering. He was previously an Associate Professor of Electrical and Computer Engineering at the University of Tennessee and was a Development Engineer at the Hewlett Packard Company. His areas of interest include
circuits. Students discover the utility of parameter sweeps to optimize theirdesign instead of guessing different values and the utility of their ideal design as astarting point for their finished design. Students were able to use chapters 10 and 11from the SONNET ™ User’s Manual to learn about parameterization. The concept of de-embedding a circuit from connectors and feed lines was introduced. Students readchapters 7 and 8 of the User’s Manual and use SONNET™ ’s de-embedding capability Page 15.850.4during the laboratory exercise. In addition students discover the efficacy of using aSmith Chart rather than a linear graph to display their simulation
-44.de Camargo Ribeiro, L. R. (2008). Electrical engineering students evaluate problem-based learning (PBL). International Journal of Electrical Engineering Education, 45(2), 152- 161.Hung, W., D. Jonassen, and R. Liu. 2008. Problem-based learning. In Handbook of research on educational communications and technology, eds. J.M. Spector, M.D. Merrill, J.V. Merriënboer, M.P. Driscoll, 485-506. New York: Lawrence Erlbaum Associates.Eberlein, T., Kampmeier, J., Minderhout, V., Moog, R. S., Platt, T., Varma-Nelson, P., et al. (2008). Pedagogies of engagement in science. Biochemistry and Molecular Biology Education, 36(4), 262-273.Ehrlich, T. 1998. Reinventing John Dewey’s “pedagogy as a university
. Page 22.1412.6[3] Brown, C. and Y-H. Lu, “Integration of Real World Teaming into a Programming Course”. InProceedings of 2010 American Society for Engineering Education Annual Conference & Exposition, July20-23, 2010.[4] Smith, K. A., “Teamwork and Project Management”, 3rd Ed., McGraw-Hill, 2007.[5] Williams, L. and R. Kessler, “Pair Programming Illuminated”, Addison-Wesley Longman, 2002.[6] Adams, S. G., “Building Successful Student Teams in the Engineering Classroom”. Journal of STEMEducation. July-December. Auburn, AL., 27-32, 2003.[7] Morris, D., “Automatic Grading of Student’s Programming Assignments: An InteractiveProcess and Suite of Programs”. In Proceedings of the 33rd ASEE/IEEE Frontiers in EducationConference, S3F-1 – S3F-5
microcontroller (Microchip TechnologyInc.’s PIC16F684) via an analog to digital converter module of the microcontroller.This design decision was dictated by the need for reliable and independent operationof the accident detection algorithm and also by the limitation of the number of theinput/output channels on the main microcontroller. The primary job of the PIC16F684chip is to take the G-force readings from the MMA7260QT accelerometer periodically.The simplicity of operation on MMA7260QT determines that its programming code isvery robust and runs fast; this, in turn, leads to desired sensitivity and reliability of theoperation. If a spike in G-force is detected, an accident may have happened. ThePIC16F684 chip then sets one of the inputs on the main
) The amount I learned from the course was 4.17 4.30 (compared to other classes)More assessment results will be reported based on the ongoing classes.Certain elements of our classroom teaching strategy can easily be adopted by professors andinstructors who are assigned to teach introductory ECE classes for non-majors.References [1]. A. Hambley, Electrical Engineering: Principles and Applications, 5th Edition, Jan. 2010, Prentice Hall, Upper Saddle River, NJ, 912 p. [2]. J. W. Nilsson and S. Riedel, Electric Circuits, 8th Edition, May 2007, Prentice Hall, Upper Saddle River, NJ, 880 p. [3]. G. Rizzoni, Fundamentals of Electrical Engineering, 1st
the following parameter values Z0 = 300 Ω L = 5200 m Zg= 300 Ω up = 2x108 m/s f = 105 Hz Vg = 1 ∟0° VWe shall examine what happens as we vary the load impedance ZL by considering three cases:1) ZL = ∞ (open circuit termination, Γ = 1 ), 2) ZL = 300 Ω (the matched case, Γ = 0 ) and 3) ZL= 500 Ω (the arbitrary unmatched case, Γ = 0.25 ).Case 1 ZL = ∞ (Open Circuit Termination)The voltage on the line is shown in Figure 2 for 10 values of time over one temporal period. Inthis case the voltage on the line is a standing wave with the associated nodes and antinodes
to increase the Q-factor, can decrease output amplitude. Page 15.974.7 Oscillating Output of the VCO 5 4.5 4 3.5 3 Voltage (V) 2.5 2 1.5 1 0.5 0 0.00E+00 5.00E-09 1.00E-08 1.50E-08 2.00E-08 2.50E-08 -0.5 Time (s
Engineering”, McGraw Hill, 2008.5. A. Hambley, “Electrical Engineering, Principles and Applications”, 4th Edition, Prentice Hall, 2007.6. W. Hayt, J. Kemmerly, S. Durbin, “Engineering Circuit Analysis”, 7th Edition, McGraw Hill, 2008. Page 15.1357.8
supports high altitudeballoon launches. http://www.nearspaceventures.com/3. Snyder, S.; Romines, E.; and Dodge, R.; "New Heights High Altitude Balloon Research Program", ASEEConference, 2009, Austin Texas.4. http://www.stratostar.net/ This site sells a complete turnkey system. Page 23.1257.7
engineering programs at Case Western Reserve University.Dr. Kenneth A. Loparo, Case Western Reserve University Kenneth A. Loparo is the Arthur L. Parker Professor in the Department of Electrical, Computer and Systems Engineering, holds academic appointments in the Departments of Biomedical Engineering and Mechanical and Aerospace Engineering in the Case School of Engineering and the Faculty Director the Institute for Smart, Secure and Connected Systems. He has received numerous awards including the Sigma Xi Research Award for contributions to stochastic control, the John S. Diekoff Award for Distin- guished Graduate Teaching, the Tau Beta Pi Outstanding Engineering and Science Professor Award, the Undergraduate
technologies, and their applications. The course will berevised continuously based on student feedback and lessons learned about the content, projectassignment, and hands-on activities. 9References[1] Yoder, B. L. (2017). Engineering by the Numbers, American Society of Engineering Education, Retrieved on January 1, 2021 from: https://www.asee.org/documents/papers- and-publications/publications/college-profiles/2017-Engineering-by-Numbers- Engineering-Statistics.pdf[2] Sen, P. K. (2011, April). Electric power and energy engineering education in USA: A status report, issues and challenges. In 2011 Rural Electric Power Conference (pp. A1-1).[3] Holland, S. (2020). Power
responses were generally quite supportive of teaching this subject usingthis new approach, with 85% finding it superior to the traditional one.6. AcknowledgmentsThis work was supported by the National Science Foundation through the ImprovingUndergraduate STEM Education Program under Grant No. 1821628. The first author thanksDon Fowley of Wiley for his support.References[1] J. D. Irwin and R. M. Nelms, Basic Engineering Circuit Analysis, 11th ed. Hoboken, NJ: Wiley, 2013.[2] J. W. Nilsson and S. A. Riedel, Electric Circuits, 11th ed. Boston: Prentice-Hall, 2019.[3] W. H. Hayt Jr., J. E. Kemmerly, and S. M. Durbin, Engineering Circuit Analysis, 8th ed. New York: McGraw-Hill, 2011.[4] C. K. Alexander and M. N. O. Sadiku
summary of the “Do Not Know” responses at the start vs. the end of thesemester. The results of the ttests were statistically significant for each question; note that thevalues were 1’s for “Do not Know” and 0’s for another response (fewer “Do Not Know”responses at the end of the semester than at the start). There were no statistically significantdifferences by gender, graduation year, or engineering discipline. Table 2. Summary of “Do Not Know” Responses for Content Questions start of end of Question semester semester ttest start
of the media on the perception of alternative/greener technology. 10. Understanding the concepts of sustainability Scale: 1 = Fablusi was very useful 5 = Fablusi was uselessThe Minute Paper in both semesters asked the following questions: ‚ Would the use of an Internet based simulation such as this influence your decision to take a course? If so, why? If not, why? ‚ The mail system in the simulator is NOT a real e-mail system. Please state what you think are the advantage(s), if any, of using this system ‚ Did the role play simulations create a learning environment that engaged you in the PBL exercise and did you find it enjoyable?Semester 1 2006At the end of the
with an engineeringapproach is also nothing new. The contribution of this paper is to note the two simultaneouslyand apply the latter in the context of the former.We expect to continue using intracourses as a change mechanism in our own curricula andrecommend them to others confronted with similar challenges. Future work includes developinga formal assessment and evaluation process for determining the effectiveness of an intracoursemove.Bibliography1. Belytschko, T., Bayliss, A., Brinson, C., Carr, S., Kath, W., Krishnaswamy, S., Moran, B., Nocedal, J., AndPeshkin, M. "Mechanics in the Engineering First Curriculum at Northwestern University," International Journal ofEngineering Education, Vol. 13, No. 6, 1997, pp. 457-472.2. Gomes, V. G
. Online available: http://www.engsc.ac.uk/downloads/awards/load.pdf. Accessed: August 13, 2008.2 Bergen, A. R. and Vittal, V. Power systems analysis, 2nd edition, Prentice Hall, 1999.3 Glover, J. D. and Sarma, M. S. Power system analysis and design, 3rd edition. Thomson-Engineering, 2001.4 Grainger, J. and Stevenson, W. D. Power systems analysis, McGraw-Hill Publishing Co, 1994.5 Lau, M. A. and Kuruganty, S. P. Spreadsheet implementations for solving power-flow problems, eJournal of Spreadsheets in Education, 3(1): 27-45, August 2008. Online: http://epublications.bond.edu.au/ejsie/vol3/iss1/3/.6 Rao, N. D. and Haddad, N. Y Typical applications of new generation spreadsheets to power system problems, Proceedings of the 33rd
answer of thequestion displayed. This can be used in testing different courses. In short, with the support of fastadvancing VR technologies, the learning process of STEM students will become more and moreattractive and fascinating.References[1] X. Chen, "STEM Attrition: College Students' Paths into and out of STEM Fields. Statistical Analysis Report. NCES 2014-001," National Center for Education Statistics, 2013.[2] S. Tang and M. Hanneghan, "A Model-Driven Framework to Support Development of Serious Games for Game-based Learning," in Developments in E-systems Engineering (DESE), 2010, 2010, pp. 95-100.[3] S. Chatterjee, A. Mohanty, and B. Bhattacharya, "Computer Game-Based Learning and Pedagogical Contexts: Initial Findings from a
Paper ID #19715Remote EE Laboratory EnvironmentProf. Arnold Stanley Berger PhD, University of Washington, Bothell Arnold S. Berger is an Associate Professor and former Chair of the Engineering and Mathematics Division in the School of STEM at the University of Washington Bothell where he teaches classes in embedded systems, computer system design, digital and analog circuitry. He is also the program administrator for the UWB Capstone program. Dr. Berger is the author of two books on the subjects of computer architecture and embedded systems. Before coming to UWB he was an engineer and engineering manager for HP and AMD
now taken the course. Like other introductory computer engineeringcourses, the course topics include: • Number systems (binary, 2's complement, octal, and hexadecimal) • Binary arithmetic • Forming basic digital circuits using logic gates • Boolean Algebra • Karnaugh maps • Combinational structures like Multiplexers, Full Adders, Comparators, Decoders, and Encoders • Designing Combinational Circuits such as an Arithmetic Logic Unit (ALU) • Storage using Latches and Flip-Flops • Finite State Machines (FSM) • Designing a Sequential Circuit • Timing and Propagation Delay • Register Design • Designing a Control and Datapath • Operation of a basic Reduced Instruction Set Computing-like
basic concepts of µPs/ µCs as presented in [1,2],and using troubleshooting problem-solving method to teach high school students as presented in [3], justto name a few. Back to 90’s a traditional course on µPs/ µCs mainly involves assembly programming andsoftware-only lab using simulators as mentioned in [4] and the references therein. Nowadays, more andmore college-level courses on µPs/ µCs would cover scopes from the architecture of processors to the bigpicture of embedded systems, and combine lectures with mixed software/hardware-based labexperience. This trend of introducing the ever-growing complexity of µPs/ µCs to students and preparingthem to design larger and more complex systems have brought educators big challenges and discussionson