accessibility andavailability of laboratory facilities offered by the department. In dealing with this issue, a mobilelaboratory kit 'Analog Discovery' (AD) kit is integrated into EML and offered to all students. Fig. 2shows the AD kit, its pin-out, and the software interface [15]. (a) (b) (c) © American Society for Engineering Education, 2016 Fig. 2. a) Analog Discovery kit, b) pin-out, and c) interface of ‘Waveform’. The AD kit is a small (3.2"×2.6"×0.8"), portable and low-cost ($99 for US student) multifunctioninstrument that can measure, record and generate analog and digital signals. Driven by a
0.4711 b-score and post-test 0.5597Nonetheless, it was encouraging that the students in Section 1 (where conceptual-understandingbased instruction was implemented) rated the module higher. However, there was no significantcorrelation between student rating of the instructional module and their performance on the test,as indicated by the ρ (rho) = -0.112/0.1127 value, as presented in Table 7.As would be expected, there is a slightly more significant relationship between studentperformance and their background as indicated by ρ (rho) = 0.4711/0.5597 in Table 7. Studentswho were concurrently enrolled in introductory circuits course offered by ECE department orwho had completed an electronics course in high school
section for each of the other three years. The grades of students who droppedthe course during the term are not included in the data below. Page 22.203.10Figure 8. Lab grade distributions for 2007-2010.Figure 9. Course grade distributions for 2007-2010. 2007: n = 36, 2008: n = 14, 2009: n = 12,2010: n = 17.Bibliography 1. TIMS-301 User Manual, Emona Instruments, Sydney, Australia. 2. Lathi, B. P. and Z. Ding, Modern Digital and Analog Communication Systems, 4th ed, Oxford University Press, 2009. 3. A. Sadat and M. Nasabi, Characterizing EMONA TIMS-301 Modeling System for digital communications, Proceedings of the 2008 Asia
description files are shown in thefigure below. Note that heading changes are always positive for “red” pylons andnegative for “green” pylons. By convention, each course is set up as a loop, so that thecourse description may be repeated from the beginning when the end is reached.Initially, the truck is placed facing the first pylon from the direction of the last pylon. −240 −180 180 120 −180 −0 120 180 −0a. An asymmetric figure 8 b. A clockwise loop c. A double figure 8As
, “Context, self, and action: A motivational analysis of self-system processes across the life-span,” in The Self in Transition: Infancy to Childhood, D. Cicchetti, Ed. Chicago: University of Chicago Press, 1990, pp. 61–97.[9] V. Hospel, B. Galand, and M. Janosz, “Multidimensionality of behavioural engagement: Empirical support and implications,” Int. J. Educ. Res., vol. 77, pp. 37–49, 2016.[10] S. Lam et al., “Understanding and measuring student engagement in school: The results of an international study from 12 countries.,” Sch. Psychol. Q., vol. 29, no. 2, p. 213, Jun. 2014.[11] L. M. Thien and N. A. Razak, “Academic coping, friendship quality, and student engagement associated with student quality of school life: A partial
the Annual ASEE Conference & Exposition, 2004.[4] PBS, "http://video.wpt.org/video/2365363062/".[5] C. F. Herreid and N. Schiller, "Case Studies and the Flipped Classroom," Journal of College Science Teaching, vol. 42, no. 5, pp. 62-66, 2013.[6] M. E. McIntire, "More professors flip the classroom looking to better engage students," Hatchet Publications, Inc, Washington, 2014.[7] G. Mason, T. R. Shuman and K. E. Cook, "Inverting (Flipping) Classrooms – Advantages and Challenges," in Proceedings of the ASEE Annual Conference & Exposition, Atlanta, 2013.[8] K. M. Kecskemet and B. Morin, "Student Perceptions of Inverted Classroom Benefits in a First-Year Engineering," in Proceedings of the ASEE Annual Conference &
concepts", V. Mitin, X-F. Liu, M. Bell, and G. Fulmer, J. Materials Education, 2009, Vol. 31, No. 3-4, pp. 175-200.6. “Developing a Lab Course in Nanotechnology for Undergraduate Engineering Students” V. Mitin, N. Vagidov, X. Liu, ASEE Annual Conference, June 22-25, 2008, Pittsburgh, Pennsylvania, Proceedings, AC 2008-1736, pp. 1-8.7. S. A. Maier, M. L. Brongersma, P. G. Kik, S. Meltzer, A. A. G. Requicha, and H. A. Atwater, "Plasmonics - A route to nanoscale optical devices," Advanced Materials, vol. 13, pp. 1501-1505, 2001.8. J. C. Weeber, J. R. Krenn, A. Dereux, E. Bourillot, J. P. Goudonnet, B. Schider, F. R. Aussenegg, and C. Girard, "Optical near-field properties of lithographically designed me-tallic nanoparticles
systemsengineering methodologies, design architecture, and hardware issues. The SoftwareCommunications Architecture (SCA), a military SDR design standard, is used as anillustrative example of smart systems engineering through establishment of a well-definedarchitecture. Software topics include software architectures, object oriented programming,the SCA and other relevant software standards, multi-rate signal processing, and softwareengineering. Hardware topics include the radio frequency front end, analog-to-digital anddigital-to-analog converters, microprocessors, digital signal processors, and fieldprogrammable gate arrays. Hands-on SDR laboratories undergird project-based learning.Laboratories include development of SCA-based modular signal processing
the relationship easily characterized? (a) (b) Figure 4. Experiment setup on transmission line impedance matching and various termination scheme (a) Tee-connection on source end (b) Termination with 100 Ω on load endThen we turn the waveform to 1 MHz and change the oscilloscope termination to 50 Ω. Thestudent should observe that the amplitude measured drops to 2.5 V, even if the functiongenerator shows a 5 V output. The student should then repeat the experiment as previouslydescribed; however, the student will now observe different behavior at high frequencies. Thestudents should now answer: • Why does the oscilloscope now
advancement of electronic design automation (EDA) tools coupled with thecontinual evolution of the semiconductor industry in terms of higher transistor densities andsmaller process geometries has made it possible for design engineers to develop highperformance systems-on-chip (SoC) designs for a verity of compute-intensive applications and toimplement such systems on reconfigurable logic Field Programmable Gate Arrays (FPGA). Themain characteristics of such complex system include: a) the use high level languages programs indesigning complex systems, embedded controllers and applications; b) extensive use ofintellectual property (IP) cores; b) employ hardware/software (HW/SW) co-design principles;and c) the use soft core and/or hard core embedded
and Computer Engineering from Kettering University. She worked for Delphi from 1997 to 2009 in various positions, most recently focusing in applications engineering and project management. Michelle is doing project management support activities and assisting with software development for the Green Mobility Laboratory.Kevin (Hua) Bai, Kettering Univ Kevin Bai received B S and PHD degree in Department of Electrical Engineering of Tsinghua University., Beijing, China in 2002 and 2007, respectively. He was a post-doc fellow and research scientist in Univ of Michigan-Dearborn, USA, in 2007 and 2009, respectively. Now he is an assistant professor in Department of Electrical and Compurter Engineering, Kettering University
AC 2012-4423: UNDERGRADUATE RESEARCH EXPERIENCES USINGFPGASProf. David H. Hoe, University of Texas, Tyler David Hoe received his Ph.D. in electrical engineering from the University of Toronto. He held a position as a Staff Engineer at the General Electric Corporate Research and Development Center for five years prior to assuming his current position as an Assistant Professor in the Electrical Engineering Department at the University of Texas, Tyler, in 2008. Page 25.1389.1 c American Society for Engineering Education, 2012 Undergraduate Research Experiences Using
twosubstitute projects needed to be added to cover both cryptographic algorithms [2] and messageauthentication [3]. After taking this course, students should be able to: (a) Describe the operation of an encryption algorithm, (b) explain the design principles of message authentication mechanisms, (c) implement and test encryption algorithms on a FPGA, and (d) debate, criticize, and assess the operation of different implementations of the same encryption algorithm.Students taking this course are assumed to only have background knowledge in digital systemdesign, without any prior exposure to the mathematical background of encryption andauthentication algorithms. The challenge for this course then becomes the development ofimpactful projects to
) on Group Dynamics and Group Outcome in EFL Creative Writing,” J. Lang. Teach. Res., vol. 6, no. 1, pp. 147–156, Jan. 2015.[10] W. McKeachie and M. Svinicki, McKeachie’s Teaching Tips. Cengage Learning, 2013.[11] B. Oakley, R. M. Felder, R. Brent, and I. Elhajj, “Turning student groups into effective teams,” J. Stud. Centered Learn., vol. 2, no. 1, pp. 9–34, 2004.[12] N. Houston, “Assigning Students to Small Groups,” The Chronicle of Higher Education Blogs: ProfHacker, 30-Aug-2010.[13] R. Likert, “A technique for the measurement of attitudes.,” Arch. Psychol., 1932.
LaboratoryIntroductionTraditional undergraduate communications courses have focused on analog transmissionschemes such as amplitude (AM) and frequency modulation (FM). Given the comparativelysimple design of analog modulation circuitry, offering a laboratory component to the course isstraightforward. In a typical laboratory session, students could construct and investigate theperformance of AM or FM transmitters or receivers.With the emergence of technology such as digital cellular telephony and wireline and wirelessdata communications, the emphasis has shifted from analog to digital modulation. Because ofthis shift, digital communications has become an important component to all levels ofcommunications instruction. Due to the complexity of equipment that can emulate
Detroit Mercy. He has published more than 60 journal and conference papers. He is the Publicity Chair in 2011 IEEE International Conference on Automation and Logistics. He is on the Conference Committee in 2012 International Conference on In- formation and Automation and International Symposium on Biomedical Engineering and Publicity Chair in 2012 IEEE International Conference on Automation and Logistics. He was Chair of IEEE SEM - Com- putational Intelligence Chapter and is currently a Vice Chair of IEEE SEM-CIS and Chair of Education Committee of IEEE SEM. He was Chair in International Conferences such IEEE IJCNN2014 and IEEE SSCI2014
lab courses which provide students with hands-on experience with electrical engineering. These labs/courses are: electrician foundation lab; analog electronic technology lab; digital electronic technology lab; power electronics technology lab; microcomputer lab; automatic control lab; electrical machine lab; power system dynamics lab; and at least 40 working hours of industrial engineering training in practice factory.In the second semester of the senior year, students are divided into the following six specialties: A. Electric Power System B. Electric Power System Protection C. Electric Machinery and Apparatus D. Power
extremely slow lightphenomena with positive ng as large as 30. The current research challenge is to understand whatthese unusual electromagnetic propagation properties really mean. For example, if we launch anelectromagnetic pulse in the frequency band where the group index is negative, will the pulse Fig. 5: Single-layer Mandatori structure (Right) that exhibit negative group index in a frequency band (a), which is also equivalent to a negative index of refraction within a range of thickness (b).come out the fast light structure even before it enters in it as implied by the negative group delaypredicated by Fourier transform principles? Can we apply this fast light scheme to transmitinformation encoded by the electromagnetic pulses faster
midterm test scores of students from Instructor B who used the hands-onapproach (only) with test scores of students (from Instructor A) who used simulation method(only). The criterion for statistical significance was set to alpha = .05. Two low score outlierswere identified in the midterm scores of the simulation group for Instructor A and these outlierswere changed to the nearest higher value within the group, (Outliers were not changed to themean scores to retain the scoring pattern of the students in the group assuming from the scoringpattern that the students were low scorers.) Examination of histograms, Q-Q plots, andKolmogorov-Smirnov test statistics indicated that the assumption of normality was met.Levene’s test indicated that the
of Section-02, which demonstrates that the students were activelyparticipating in the panel discussion.4.2 Student Perception Survey Results (a) (b) (c) (d) (e) Pie Chart Legend (a) Working on a Capstone Report helped me to better understand the process of creating a research paper (b) The Capstone Report motivated me to explore beyond the course materials (c) Attending the panel discussions increased my understanding of research topics related to the course materials (d) I have understood how to prepare a technical report in IEEE Format by composing a
undergraduates understand what the formula means by seeing it representedmultiple ways. For both iterations of the course students were given explicit training in how tocreate videos which covered both technical aspects—green screen use, stop motion methods,1 The formulas chosen to represent concepts (drawn from the 6th edition of Ulaby) are:Video #1: 2.39, 2.46, 2.53, 2.73, 2.84 and 2.93, 2.97, 2.104Video #2: 4.13, 4.19 and 4.21, 4.26, 4.29, 4.43, 4.51, 4.60, 4.63, 4.71, 4.79, 4.109, 4.121, 5.10, 5.22 and 5.24, 5.47Video #3: 7.15, 7.32, 7.54, 7.66, 7.75, 7.77, 7.100, 8.12, 8.28 a or b, 8.32, 8.58VideoScribe animation software, and Final Cut Pro X video editing software—as well as how tolay out a coherent plot, create a storyboard, and gain a basic
Engineering Education, 1995. 3(2): p. 89-96.39. Ionescu, C.M., et al., A remote laboratory as an innovative educational tool for practicing control engineering concepts. IEEE Transactions on Education, 2013. 56(4): p. 436-442.40. Aktan, B., et al., Distance learning applied to control engineering laboratories. IEEE Transactions on education, 1996. 39(3): p. 320-326.41. Méndez, J.A. and E.J. González, A reactive blended learning proposal for an introductory control engineering course. Computers & Education, 2010. 54(4): p. 856- 865.42. Mason, G.S., T.R. Shuman, and K.E. Cook, Comparing the effectiveness of an inverted classroom to a traditional classroom in an upper-division engineering course. IEEE
Purdue University Calumet. In August 1986 he joined the department of electrical and computer engineering at IUPUI where he is now professor and Associate Chair of the department. His research interests include solid state devices, applied superconducting, electromagnetics, VLSI design, and engineering education. He published more than 175 papers in these areas. He received plenty of grants and contracts from Government and industry. He is a senior member of IEEE and Professional Engineer registered in the State of IndianaLauren Christopher, Electrical and Computer Engineering, IUPUI Dr. Lauren Christopher attended Massachusetts Institute of Technology, where she received her S. B. and S. M. in Electrical Engineering
not done in a timely manner, students from the other discipline might not be given enough time to implement their part of the project. Time management as well as enabling the students to engage in the project in cross-functional ways is key in this situation. b. Students of one discipline do not appreciate the contributions of the other discipline; alternatively, they tend to think in very structured ways about their respective disciplines and do not appreciate and take advantage of the overlap and complementary skill sets that exist between disciplines.As advisors of long standing of teams that have, at one time or the other exhibited at least one,but
d(k) + Input x(n) Adaptive Output y(n) Error e(n) Signal Filter Signal - Signal Adaptive Algorithm Figure 1. Block diagram of a typical adaptive noise cancellation systemThe signals shown in Figure 1 are described as follows:a. The vector ( ) represents the is the input vector of time delayed input values and ( ) is the input at time . ( ) [ ( ) ( ) ( ) ( ) ( )] (1)b. The vector ( ) is used to represent the
conceptually expressed through aprogram educational objective. A second point of contention is that, for the assessment andevaluation of program educational objectives, there exists a long time constant that exceeds othershorter system time constants that do affect results, such as university institutional and curricularchanges, university personnel changes, or changes in the economy. This long time constant foreffecting change in the program educational objectives includes: (a) detecting a problem via the collected assessment data, (b) creating and implementing a solution plan, and (c) assessing the effectiveness the solution.The time constant for such a process is six to eight years or longer, depending on the solutionplan. If there is a
short segmentsof about a minute’s length or less. The visual content is developed using Adobe®Flash®, Soundbooth®, Fireworks® and other tools and is carefully synchronized withthe audio track. It seems to take about a hour’s time to produce a segment of about aminute’s length. Of course, once a segment is developed it can be used infinitely often. Detailed data is collected as the concepts are taught to attain new insight into thelearning process. Student A viewed all the concepts at a single sitting with no pauses orrollbacks, indicating a more reflective approach to learning. Student B paused andrestarted the presentation frequently, and often went back to hear/view a sequence ofconcepts many times. Student C switched back and forth
only difference between the two groups will be around the method ofinstruction (i.e. animation or, alternatively, static diagrams).We recommend that our colleagues include animations, developed with an eye toward thestudents' background, when teaching the operation principles of electronic devices such as theBJT.Bibliography1. Karmalkar, S. (1999). Simple unified elucidations of some semiconductor device phenomena. IEEE Transactions on Education, 42, 323 – 327.2. Benesen, L. & Robinson, B. (1983). A study of the mathematics requirements for Israeli technicians and Page 25.700.7 practical engineers. International
) (b) Figure 3. J-DSP simulation for plotting the step response of a transfer function model.3.1. Step Response of Transfer Function Models A simple system is constructed by providing the transfer function and the step responseis plotted. In order to execute the block diagram, the student needs to place the Control Block in Page 22.445.5the workspace and set the parameter Dt. The student also experiments by varying the Dt fieldand observes that the Dt field has an effect on the resolution of the output plot. Figure 3demonstrates the block diagram and the step response obtained for the transfer function.3.2. Cascading Transfer Functions
higher engagement and learning outcomes[8], [11], [16]–[18]. This motivates researchers to conduct studies to qualitatively and quantitativelyevaluate the effectiveness of the flipped classroom in different disciplines. The flipped classroom literaturevaries greatly in methodological rigor. However, most of the findings are consistently encouraging [11].Much of the existing research assessing the effectiveness of the flipped classroom in higher educationcontexts (a) compares a flipped course to previous, more traditional iterations [19]–[21] (b) utilizes pre-post designs assessing changes from the beginning of the flipped course to the end [22]–[24], or (c) focuseson student perceptions and satisfaction with the flipped approach [25], [26]. In