has been created.Students are assigned a permanent lab partner for the semester; all experiments arecompleted with this lab partner. For the preparation of each lab report the lab groups arepaired with another lab group to form a team of 4 students. The teams of four arechanged with each new lab assignment. See Table 1 for an example.Table 1 A typical group’s (Group 01) activities for the third week of the semester. Team Tasks Group 01 Completed Lab 1 two weeks prior. Finishing the lab report for Lab 1. Group 02 Group 01 Completed Lab 2 one week prior. Commencing the writing and data Group 03 analysis for Lab 2’s report. Group 01 Creating a cost
yearsprogramming is still considered to be a difficult course demands the location of a new, probablyearlier, starting point, and different methods and media to teach it. “Programming is a very usefulskill and can be a rewarding career. In recent years the demand for programmers and studentinterest in programming has grown rapidly, and introductory programming courses have becomeincreasingly popular.”4 Since the early 70’s there has been an intense effort towards determiningand adopting appropriate and efficient methods that would optimize the learners’ ability tounderstand and solve programming related problems. 4, 5 For these reasons, identifying theoptimum way to teach programming and algorithmic thinking has for decades been one of thebiggest
are involved in making major focus and study decisionsc) Participants work together as a group with facilitator(s) to promote cohesiond) All aspects of the inquiry are undertaken in ways that are understandable and meaningful toparticipantse) The ideas of all involved are valued; status and power differences between novices andexperts are minimized as much as possible.Because of this level of participation, the faculty mentor, educational researcher, and participantsdecided upon co-authorship of the paper. Similar decisions about authorship have been used inthe health sciences among other fields41,42.The students‘ faculty mentor and the educational researcher initiated preparation of the paperafter facilitating an interview/discussion of the
technical specificationsWhen designing either a transformer or an inductor, a wire is required for the winding(s) aroundthe magnetic core. Wire selection is typically based on the window area of the core as well astolerable amount of copper losses in watts. The web-based magnetic design contains a sub-routine that automatically looks for the wire size (gauge) that most closely fits the calculatedcore material and type. However, since the program is meant to aid in basic calculations ofsimple inductor and transformer designs, the wire selection does not take into account complexconfiguration of winding such as bifiliar or more, interleaving, etc. Figure 5 illustrates the stepwhere wire size is determined including three data related to the selected
integrated circuit layouts for CHIP1 and CHIP2, respectively. Thelayouts were created using L-Edit from Tanner Research, Inc. Page 22.548.3 Fig. 2. High-level block diagrams of MOSIS CHIP1 and CHIP2Fig. 3. L-Edit layout of CHIP1 Fig. 4. L-Edit layout of CHIP2 Page 22.548.4Brief description of MOSIS CHIP1 The detailed block diagram of MOSIS CHIP1 is shown in Figure 5. To keep the initialdesign simple, the input is limited to eight four-bit signed samples in the 2's complement format.In order to avoid overflow, the final output consists of eight complex pairs of
harmonics for continuous-conduction-mode boost power-factor correction,” Proc. IEE Electric Power Applications, Vol. 148, Issue 2, pp. 202 – 206, March 2001.3. B. Choi, S. Hong, and H. Park, ”Modeling and small-signal analysis of controlled on-time boost power-factor- correction circuit,” IEEE Trans. On Industrial Electronics, Vol. 48, Issue 1, pp. 136 – 142, Feb. 2001. Page 22.160.74. M. Orabi, T. Ninomiya, and J. Chunfeng, “Nonlinear dynamics and stability analyses of boost power-factor- correction circuit,” Proc
Applications, v 24, n 6, November/December, 2004, p 22-30.5. Kezunovic, Abur; Huang, Bose, Tomsovic, The Role of Digital Modeling and Simulation in Power Engineering Education, IEEE Transactions On Power Systems, Vol. 19, No. 1, February 2004.6. Cunningham,S.; Hubbold, R. J., Interactive Learning Through Visualization, Springer-Verlag, 1992, ISBN: 0- 387-55105-0, The Multi-Faceted Blackboard: Computer Graphics in Higher Education, Page 1037. Humar, Iztok; Sinigoj, Anton R.; Bester, Janez; Hagler, Marion O., Integrated Component Web-Based Interactive Learning Systems for Engineering, IEEE Transactions on Education, v 48, n 4, November, 2005, p 664-675.8. Wang, Hao-Chuan; Chang, Chun-Yen; Li, Tsai-Yen, The
, “Engineering education—Is problem-based or project-based learning the answer,” Australas. J. Eng. Educ., vol. 3, no. 2, pp. 2–16, 2003.[5] H. A. Hadim and S. K. Esche, “Enhancing the engineering curriculum through project-based learning,” in 32nd Annual Frontiers in Education, 2002, vol. 2, pp. F3F-F3F.[6] M. Frank, I. Lavy, and D. Elata, “Implementing the project-based learning approach in an academic engineering course,” Int. J. Technol. Des. Educ., vol. 13, no. 3, pp. 273–288, 2003.[7] M. Lehmann, P. Christensen, X. Du, and M. Thrane, “Problem-oriented and project-based learning (POPBL) as an innovative learning strategy for sustainable development in engineering education,” Eur. J. Eng. Educ., vol. 33, no. 3, pp. 283–295
research purposeseasy to accomplish. One idea for expansion is to add capacitance-voltage measurementcapability by purchasing an additional source measurement unit for the measurement system.There is also interest in redesigning the switch matrix to allow multiple SMU’s to drive the DUTand enable 3 terminal device testing. This could most likely be accomplished with minimalalterations to the current test system and only minor updates to the control program. All of thesepossibilities will be explored by graduate and undergraduate students in the coming years.References[1] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P.Wenderoth, "Active learning increases student performance in science, engineering
apply their learning of abstract and intangibleconcepts. Moreover, educators and curriculum designers will be able to innovate course andinstructional designs that offer students ways to improve how they can make sense of theirlearning.References [1] S. Sheppard, A. Colby, K. Macatangay, and W. Sullivan, “What is Engineering Practice?,” International Jounral of Engineering Education, vol. 22, no. 3, pp. 429– 438, 2006, Accessed: Mar. 15, 2019. [Online]. Available: https://www.ijee.ie/articles/Vol22-3/02_ijee1751.pdf. 8[2] R. A. Streveler, T. A. Litzinger, R. L. Miller, and P. S. Steif, “Learning Conceptual Knowledge in the Engineering Sciences
Paper ID #34635 Don-Roberts Emenonye (S’16–M’20) received the B.S. (with first-class honors), in electrical engineering from the University of Lagos, Lagos, Nigeria in 2016. He received the M.S. from Virginia Tech in 2020. He is currently pursuing a Ph.D. degree in Wireless @ Virginia Tech at Virginia Tech, Blacksburg, VA, USA. His research interests include differential modulation, massive MIMO, and Reconfigurable intelligent surfaces.Mr. Xavier GomezMr. Joseph TolleyCameron MakinDr. Joseph Gaeddert, Virginia Polytechnic Institute and State University Dr. Joseph D. Gaeddert is a Research Associate Professor with the Hume Center, at the Center for Na- tional Security and Technology, Virginia Polytechnic Institute and
of two online discussion TAs. Thanks go to National Instruments forsupplying the myDAQ, and to Newark element 14 for their efforts in sourcing parts for EE40LXworldwide.References[1] S. D. Sheppard, K. Macatangay, A. Colby, and W. M. Sullivan, Educating engineers: Designing for the future of the field. Jossey-Bass, 2008, vol. 2.[2] L. Yuan and S. Powell, “MOOCs and open education: Implications for higher education,” White Paper, Mar 2013.[3] D. Lowe, “MOOLs: Massive open online laboratories: An analysis of scale and feasibility,” in Remote Engineering and Virtual Instrumentation (REV), 2014 11th International Conference on. IEEE, 2014, pp. 1–6.[4] P. F. Mitros, K. Afridi, G. J. Sussman, C. J. Terman, J. K
researchexperience can provide quick and valuable information for faculty mentors. Faculty mentors canuse this feedback to address with participants issues that may be influencing their learning ortheir thinking about future educational or career goals, and make adjustments to improve thelearning environment before the end of the experience.References 1. Willis, D. A., Krueger, P. S., and Kendrick, A.(2013). The influence of a research experiences for undergraduates program on student perceptions and desire to attend graduate school. Journal of STEM Education, 14(2), 21-28. 2. Zydney, A. L., Bennett, J. S., Shahid, A., and Bauer, K. W. (2002). Impact of undergraduate research in engineering. Journal of Engineering Education, 91
. Check with alumni and industrial contacts to learn of their evaluation of the quality of the software. Look for well-designed software that provides an integrated development environment. ‚ Examine the available evaluation boards, including those from third-party manufacturers. Look for a board that will support the various objectives of your course with few external components needed. ‚ Test the hardware and software systems together. How much training will be necessary before your students are able to compile an example program, load it, and run it on hardware?Support from the manufacturerThe degree of support from the manufacturer(s) of your development system and hardwarecomponents can make the
. Studentsprovided drafting masks for the fabrication of their PCB board design. Thus, Cal Poly has a richhistory in integrating manufacturing technology into the engineering curriculum, and this historyprovided the foundation for the present project to integrate system design into the curriculum.Reviewing the literature for the integration of manufacturing technology into the engineeringcurriculum for the last two decades is illuminating and provides the foundation for this project.In the 1990's, engineering programs which had either manufacturing technology, ormanufacturing engineering programs, as part of their engineering colleges, were proposing theintegration of electronic manufacturing technology into the electrical and computer
Association for Signal Processing (Eusipco) 2006, Florence Italy, Sep. T 2006.12. Chiang, K.H; Evans, B.L.; Huang, W.T.; Kovac, F.; Lee, E.A.; Messerschmitt, D.G.; Reekie, H.J.; Sastry, S.S.; “Real-time DSP for sophomores”, ICASSP-96. Conference Proceedings., Volume 2, 7-10 May 1996 Page(s):1097 - 1100 vol. 213. Wright, C. H. and Welch, T. B., “Teaching DSP concepts using MATLAB and the TMS320C31 DSK,” Proceedings of the IEEE International Conference Acoustics, Speech, and Signal Processing (ICASSP), 199914. Lisa G. Huettel, “A DSP Hardware-Based Laboratory for Signals and Systems,” 12th Signal Processing Education Workshop, 4th Volume, Issue, Sept. 2006 Page(s):456 - 45915. Lisa G
AC 2008-1221: RESEARCH TRAINING OF UNDERGRADUATES THROUGHBIOMEMS SENIOR DESIGN PROJECTSJin-Hwan Lee, University of Cincinnati Jin-Hwan Lee earned his M.S. and B.S in Material Science Engineering at the Korea University, Seoul, South Korea. He is currently a PhD candidate in the Department of Electrical and Computer Engineering at the University of Cincinnati. He was awarded the Rindsberg Fellowship in 2005 and again in 2006, and has participated in the Preparing Future Faculty program. His research interests include biosensors and microfluidic biochips for environmental and medical applications.Ali Asgar Bhagat, University of Cincinnati Ali Asgar S. Bhagat earned his M.S. in electrical
for Symbian OS, Supporting Feature Pack 2.3. Digital Communications, Bernard Sklar, 2nd ed. ISBN 0-13-084788-74. Windows 2000 Graphics API Black Book by Damon Chandler and Michael Fotsch ISBN 1- 57610-876-75. C. Branigan, “Schools dial up cell-phone content,” eSchool News online at www.eschoolnews.com, Oct. 20, 2004.6. P. Thornton, C. Houser, “Using mobile phones in education,” 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE’04), 2004.7. J. Lubega, R. McCrindle, S. Williams, U. Armitage, I. Clements, “Uses of mobile phones in higher education,” In Cantoni & McLaughlin (eds) Proceedings of ED-MEDIA 2004
Research Assumptions attitude scale R opportunities Laboratory High quality research M • Underrepresented groups Experiences experiences activities Employer success survey including women and people increase interest & S of color are less likely to enter knowledge U and remain in engineering and Student access, C other STEMS fields
course. The goal is to autonomously drive around the track as quickly as possible.Teams have multiple attempts, including a qualifying and finalists round, to record the fastesttimes. Awards are given to first, second and third place winners. Additionally, awards are givenfor innovative design, technical merit and quality of production as determined by the regions.The track layout is not known to the challengers until race day. Each year changes are made tothe tracks which contain several elements of difficulty including hills, hairpin turns, S-curves,and high speed straight-aways. The surface of the track is white, with a 1 inch black stripe pathfor the onboard vehicle sensors to track.Teams are broken down into two divisions, the camera
technology.III. What is Software Defined Radio(SDR)?Software Defined Radio (SDR)11-14 is an emerging technology built on one of the greatdevelopments of the 20th Century: fast and cheap microcomputers. It represents a new method inprocessing radio signals that is a quantum leap over the older, original method of analogprocessing.Since the invention of radio in the late 1800’s, signals have been processed through a singlemethod: the signal is picked up by an antenna that turns the radio wave back into a fluctuatingvoltage signal. This signal is passed on to various components in the receiver which react with itto eventually produce the sound, video or data that is desired.The function of these components and systems has been modeled mathematically in
to the question “List the part(s) of today’s program you enjoyed most,” were more varied,but many fell into two general categories: • Nearly half of the responses (37/75, 49%) included some element of the overall experience that was enjoyable, such as learning something new, interacting with the University students, and the satisfaction of getting the circuit to function correctly. • A large portion of responses (30/75, 40%) included specific portions of the project that were enjoyable, such as learning how to wire circuits or learning about how computers work.There were relatively fewer responses to the question “List two ways to improve today’s program.” • A majority of the responses (40/67, 60%) indicated that no
-27, 2018, Salt Lake City, Utah.[9] Khan, M., and Wu, N.," On Measuring Personal Perception of Self-Efficacy of Students in Engineering Modeling and Design Courses", Proceedings of ASEE Midwest Section Conference, September 25, 2017, Stillwater, OK.[10] Khan, M., Ibrahim, M., "Flipped Classroom in Technology Courses – Impact on Personal Efficacy and Perception Based on Learning Style Preferences", Proceedings of the IEEE Integrated STEM Education Conference (ISEC 2017), March 11, 2017, Princeton, NJ.[11] Brown, I., Stothers, R., Thorp, S. and Ingram, L., "The Role of Learning Styles in the Acceptance of Web-based Learning Tools". 36th Annual Conference of the Southern African Computer Lecturers Association SACLA2006, 1(1
preparinggraduates for new challenges.REFERENCES[1] Chu, P.P., "Integrating Computer Engineering Labs with a ‘Sound Theme’ ", Proceedings 2016 ASEE Annual Conference & Exposition, June 2016.[2] Sheppard, S., et al., Educating Engineers: Designing for the Future of the Field. Jossey-Bass, 2009.[3] Sheppard, S., et al., Educating Engineers: Designing for the Future of the Field. Jossey-Bass, 2009, Book Highlights, http://archive.carnegiefoundation.org/pdfs/elibrary/elibrary_pdf_769.pdf; see Figures 1 and 2 on pages 9-10.[4] Foist, R.B., Xu X., Gage, T., Truitt, S., and Schmidt, M., “A First-Year Electronics Lab Project—Design of Basic Voltmeter plus Soldering Tutorial”, Proceedings 2018 First Year Engineering Conference, June 2018.[5
engineering curriculum is not new. Many engineeringprograms meet EAC of ABET General Criterion 5 requirements through the use of project-basedsenior design course(s). Project-based design courses have been shown to have positive impacton professional skills post-graduation3. However, such courses occur at the end of thecurriculum and the ability to study the impact on the curriculum as a whole is not possible.Oregon State University demonstrated the use and benefits of a robotics project-based courseearly in an electrical engineering curriculum4,5 with the TekBot platform. Since that time otherengineering programs have implemented and studied the impact of project-based roboticscourses early in the curriculum. As an example, the United States Naval
identify the applicationsof digital circuits, perform simulations, and conduct experiments firsthand. As a result, they havea better grasp of the subject, and have a better understanding and significance of digital circuits.The proposed format became very attractive to students as they were able to see the benefits intheir learning during a short span of time, and were better prepared for future courses inengineering disciplines.Bibliography1. A. Ganago, H. Liao, “Student learning in a required Electrical Engineering (EE) course for non-EE majors: Perception of values for future work in multidisciplinary teams,” Proceedings of American Society for Engineering Education Annual Conference and Exposition, June 2013.2. D. G. Rosa-Pohl, S. A
. Fig. 4: Buck Converter SchematicThe small signal transfer function of the power stage is , where is a small changein the switching signal duty cycle, and is the corresponding change in the average outputvoltage. Simple s domain analysis shows that the transfer function of the output filter is 1 1 1 1It is well known that the change in average diode voltage due to a duty cycle change is . Making this substitution in the above equation yields 1 (2
’s two-sided of view of SoC design may have some drawbacks: Giventhe number of comments expressing frustration over certain aspects of the design, there may be arisk that the course discouraged some students from pursuing further study or employment inSoC work. If that were the case, some students might be better served by a more traditionalcourse offering that focuses more on standardized course learning objectives rather than open-ended student-driven learning. This last point is a serious consideration, and one I intend to studyin the future. I believe, however, that as I gain more experience teaching this course andaccumulate more sample projects and Zybo tutorials, students’ perceived experience willimprove. I also believe that students
class was taught in a flipped classroom format rather than by lecture using a formatpreviously demonstrated by the author [8]. Students were assigned pre-class readings and shortexplanatory videos to watch and took a short online quiz that focused on the “understand” and“apply” levels of Bloom’s Taxonomy [1]. Students could attempt the quiz multiple times.Students also were given the outline of the problem(s) they would solve in class. The outlineframed the problem(s) but did not provide any data or details. The students turned a brief outlineof the process they would use to solve the problem(s) so they would be prepared in theclassroom. In a typical class period teams of 3-4 students worked on problems with mini-lectures or assistance from the
processing algorithmsand SDR waveforms required to perform Cognitive Radio (CR) experiments in real time. Inaddition to the 24 racks connected to USRP2’s, the testbed employs four racks dedicated tonetwork management and administration. An image server provides automated re-imagingcapabilities, a firewall, and a LDAP server provides security/authentication. A dedicated NFSserver is employed at the user plane in order to provide researchers a private directory to storescripts, programs, and test results. Many of the experiments and demos that have been producedthus far have exploited the remote capabilities of this COgnitive Radio NETwork (CORNET) [3]testbed, by employing custom web interfaces, and many of the administrative tasks can now beperformed