Engi- neers. In 2013, she was invited as a visiting researcher to collaborate with the EVOVision Group at the computer department of CICESE in Baja California. In 2014, B. Lorena Villarreal earned a nomination on MIT Technology Review’s ”Innovators under 35 Mexico” (TR35) list for her work on the development of an artificial olfactory system for odor-source tracking and localization using rescue robots. In 2015, she was awarded through a program between INFOTEC, CONACYT, the Newton Fund, and the Mexican Secretariat of Economy, with the opportunity to participate in a training course on technology commer- cialization as part of the Leaders in Innovation Fellowship program offered by the Royal Academy of
) (b) E(3) => [1000,1413]Hz vs E(4) => [1413,1995]Hz E(1) => [501,708]Hz vs E(5) => [1995,2818]Hz 0.45 0.9 0.4 a - blue 0.8 i - red 0.7 0.35 o - black 0.3 0.6 a - blue
2018.[15] G. Hoople, A. Choi-Fitzpatrick, and E. Reddy, “Educating Changemakers: Cross Disciplinary Collaboration Between a School of Engineering and a School of Peace,” in Proc. of the Frontiers in Education (FIE) Conference Proceedings, San Jose, CA, October 2018.[16] B. Przestrzelski, E. Reddy, and S. M. Lord, “Integrating Social with Technical: “Bring in your Trash” module for a Materials Science Class,” in Proc. of the American Society for Engineering Education Annual Conference, Salt Lake City, UT, June 2018.[17] B. Przestrzelski, E. Reddy, and S. M. Lord, “Mission Possible: Blending the social and technical through an innovative biodesign challenge module for a materials science class,” in
students’ understanding of this topic. Submissions per student Number of submissions by each student 30 100 25 80 20 60 15 40 10 5 20 0 0 (a) (b)Figure 1: Submission data. In (a), the bars indicate the average per-student number of
were hardware basedhands-on activities and others were software based simulations.Hardware based hands-on included amplitude modulation (AM), demodulation, and sampling byTelecommunication Instructional Modelling System (TIMS). Software-based simulationexercises included filter design and signal synthesis to strengthen understanding of the frequencyresponse.Evaluations were based on student performance of the new laboratory assignments, course grade,and student surveys (course evaluations). Recent offerings of this course taught in the traditionalway by the same instructors resulted in only 53% of the students receiving a “B-” or higher gradefor the course. In the first iteration of new laboratory exercises, the number of students whoreceived
): anability to develop and conduct appropriate experimentation, analyze and interpret data, and useengineering judgment to draw conclusions [formerly student outcome (b)] [4].In many of the universities, courses similar to our control system design course do not includelaboratories. Likely reasons for this is the cost to purchase, maintain, and upgrade experimentalapparatus; facilities requirements that can include compressed air and/or hydraulics in addition toelectric power; and the lab space to house the traditional control system equipment, which canhave a fairly sizable footprint. Given the low demand, there are a limited number of vendors whosell control system lab equipment and, hence, the range of apparatus that is available is alsolimited
B. Kollöffel, occurred for both complex conceptual and procedural Engineering 2013 inquiry learningeducation: combining traditional T. de Jong problems. Since students in the virtual lab condition Education in a virtual labinstruction with inquiry learning acquired better conceptual understanding and alsoin a virtual lab [19] developed better procedural skills than students in the
switch through the SIO interface. 4. Change the switch input and monitor the LED behavior. a. If the switch is open, the LED will turn ON. b. However, if the switch is closed, the LED will turn OFF.After assembling the circuit and successfully testing the SIO module functionality using the switchand the LED, it is required to monitor the transmitted signal between the master and the slave asfollows. 1. Connect channel 1 and 9 from the MSO to the master and slave PICs serial clock respectively to monitor the system clock. 2. Connect channel 2 and 10 from the MSO to the master serial output and the slave serial input respectively to monitor the SIO signals when turning on/off the switch. 3
Regulator ePWMCH Inverter Slip V/Hz ePWMCL limiter profile A P eQEP B Fr 120 ωr I
: Transforming undergraduate education for future research biologists”. Washington, DC: The National Academies Press, 2003.[2] F.A. Banakhr, M.J. Iqbal and N. Shaukat, "Active project based learning pedagogies: Learning hardware, software design and wireless sensor instrumentation," in 2018 IEEE Global Engineering Education Conference (EDUCON), Tenerife, Spain, April 17-20, 2018, pp. 1870-1874.[3] D. Perkins, “Beyond Understanding,” in Threshold Concepts Within the Disciplines, R. Land, J.H.F. Meyer, and J. Smith, Eds. Rotterdam: Sense Publishers, 2008, pp. 3-19.[4] D. Reeping, L. McNair, M. Wisnioski, A. Patrick, T. Martin, L. Lester, B. Knapp, and S. Harrison, “Using Threshold Concepts to Restructure an Electrical and Computer
] Barendt, N., & Sridhar, N., & Loparo, K. A. (2018, June), A New Course for Teaching Internet ofThings: A Practical, Hands-on, and Systems-level Approach Paper presented at 2018 ASEE AnnualConference & Exposition , Salt Lake City, Utah.[3] Zhang, L., & Badjo, J., & Dabipi, I. K., & Tan, X. (2017, June), Board # 53 : On the Design ofExoskeleton Suit: An Interdisciplinary Project Development Platform for Experiential Learning inEngineering Education Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio.[4] Danowitz, A., & Benson, B., & Edmonds, J. (2017, June), Board # 48 : Teaching Systems and Roboticsin a Four-Week Summer Short Course Paper presented at 2017 ASEE Annual Conference &
builds.In an attempt to quantify differences between the 270 on-line and classroom students, 210projects were reviewed and assigned two scores on a scale from zero to five where a score ofzero is the lowest indicating the student did not deliver a functioning project and five is anexceptional score where the student showed mastery of the material. The two scores were basedon the Arduino code and the other for the circuit design. The scores were weighted based on twoquestions from the survey: 1) What prior level of Arduino builds experience did you have? a. Essentially No Experience (I have used a hammer and screw driver a few times to assemble furniture, etc. but that's about it) b. A Little Experience (I have
evenly as three grades, namely A, Band C. The next class with traditional homework had 11 students. The grades distribution forthese classes are not statistically different (p-value 0.52). The class in which the author includeda video explanation of homework problems had 17 students enrolled but one student wasauditing the course. The grade distribution for this class shows a significant increase in numberof Grade A results and consequently decrease in number of Grades B and C. The gradedistribution for the class with video responses is statistically significantly different from thetraditional homework classes (p-value < 0.05).Course Evaluation ResultsThe course was perceived as very difficult by students when they were assigned traditional
OS RTOS Wire/Wireless PCI (b) (c) USB (d) PCI (a) Interface + FPGA + P2P VP-1 VP-2 VP- VP-N+1 (f) Wireless P2P (c)3~N Sensor Signal Processing & Wireless Communication (g) Virtual-/Real-Road Test Speed Controller Battery Module
Conference and Exhibition, Salt Lake City, UT, USA, 2018.[5] N.M. Smith, J. Smith, L. Battalora, and B. Teschner, “Industry-University Partnerships:Engineering Education and Corporate Social Responsibility,” Journal of Professional Issues inEngineering Education and Practice, vol. 144, no. 3, 2018.[6] J.M. Smith, C. McClelland and N. Smith, “Engineering Students’ Views of Corporate SocialResponsibility: A Case Study from Petroleum Engineering,” Science and Engineering Ethics,vol. 23, no. 6, p. 1775-1790, 2017.[7] A.C. Heinricher, P. Quinn, R.F. Vaz, and K.J. Rissmiller, “Long-term Impacts of Project-Based Learning in Science and Engineering,” in Proceedings of the 2013 American Society forEngineering Education Annual Conference and Exhibition
teams.References: [1] Rutar, T., & MS, B. S. (2011, June), A Modular Project Management Approach to Undergraduate Senior Design Projects Paper presented at the 2011 ASEE Annual Conference & Exposition, Vancouver, BC. https://peer.asee.org/17350 [2] Lawanto, O., & Cromwell, M., & Febrian, A. (2016, June), Student’s Self-Regulation in Managing Their Capstone Senior Design Projects Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. [3] Chen, Z. (2017, June), Applying Scrum to Manage a Senior Capstone Project Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/27605 [4] Porter, J., & Wright, G., & Morgan, J
comprehensive numericalstudies and application-based projects, as further described below. The instruction started withthe wave nature of light, as depicted in the left column of Figure 1. Wave Nature of Light Particle Nature of Light Maxwell Eqn. Helmholtz Eqn. Einstein A/B Coefficient Uniform Plane Wave (UPW) Rate equation Properties of UPW, Phase Blackbody radiation Photon statistics Polarization, TE/TM waves Reflection/Transmission (R/T) on interface Rate equation Total Internal Reflection 3- and 4- level
consists of four parts: 1. The target, or subject: the information to be learned. 2. The source, or analog: the familiar thing to which the new information is compared. 3. The connector: the means by which the subject and analog are compared. 4. The ground: the description of the similarities and differences between the subject and analog.To facilitate the use of analogies, the ABCDE method of constructing an analogy is considered[23]. A. Analyze the subject: what is it you most want the learners to understand about the subject? B. Brainstorm potential analogs: what concrete items share the important features you have identified? C. Choose the analog: which candidate analog has the best
first five labs are mainly construction labs where students are developing practical, hands-onskills and gaining familiarity with common prototyping practices. These skills include (a)utilizing a 3-D printer in order to create the chassis, wheels, and sensor mounts, (b) disassembly,modification, and reassembly of two servo motors, and (c) assembly and soldering two custom-designed printed circuit boards (PCB)—totaling approximately 50 components and 200 solderpoints. Once all the subsystems are complete, they are screwed together, along with a batterypack and front contact sensing bumper.In the final six labs, the students systematically build-up the various digital designs needed inorder to autonomously control their individually-built mobile
,andhencecomputationalmethodsforprocessingimagedataareofcriticalimportance. Extracting useful information from raw images involves a broad range ofmathematical techniques and algorithms including but not limited to optimization,modeling, discrete algorithms, and methods for high‐level image understanding.Researchers are creating new algorithms in a range of applications, from astronomy, toreconstructing volume data from medical scans, to automatically reconstructing 3Dgeometryfrom2Dphotos.WeeklyAgenda:Week1IntroductiontoDigitalCameraandPhotographya. IntroductiontoDigitalPhotographyb. IntroductiontoCameras a. CameraSensors b. Lensesc. IntroductiontoMatlabImageProcessingToolboxd. CameraBasicse. FundamentalofDigitalImagesf. ColorPhotographyg. IntroductiontoPhotographyFilters Labs1
during the discussion section the night before the homeworkassignments were due. The help session was led by an undergraduate teaching assistant. All ofthe homework assignments were graded and comprised 20% of the student’s grade. Thesolutions for the homework assignments were posted on-line shortly after the assignments wereturned in. A typical homework problem might be: (a) Show that the circuit in Figure P3.2 isfunctionally equivalent to the circuit in Figure P3.1. (b) How many transistors are needed tobuild this CMOS circuit?Three open-book, open-note non-comprehensive exams were given. The students were allowedto use their phones, tablets, or laptops to access their notes, lecture slides, and homeworksolutions. The first two exams were
Paper ID #25696Supervising Undergraduate Cybersecurity ProjectsProf. Aaron Carpenter, Wentworth Institute of Technology Professor Carpenter is an Assistant Professor at the Wentworth Institute of Technology. In 2012, he completed his PhD at the University of Rochester, and now focuses his efforts to further the areas of computer architecture, digital systems, cybersecurity, and computer engineering education.Prof. Raymond A. Hansen, Wentworth Institute of Technology c American Society for Engineering Education, 2019 Supervising Undergraduate Cybersecurity Projects Aaron
Paper ID #26251A Comparative Analysis on the Engineer of 2020 - A Holistic REU ProgramMrs. Kristen Booth, North Carolina State University Kristen Booth is an NSF Graduate Research Fellow and PhD candidate with a focus in Power Electron- ics within the Department of Electrical and Computer Engineering at North Carolina State University (NCSU). She graduated from NCSU with a Master of Science in 2017 and Murray State University with a Bachelor of Science in Engineering in 2015. Kristen’s research interests include electrical engineering education, medium frequency transformer optimization, and electric vehicle fast charger
. J. (2015). Maker pedagogy and science teacher education.Journal of the Canadian Association for Curriculum Studies, 13(1), 60-87.Chamberlin, M., & Powers, R. (2010). The promise of differentiated instruction forenhancing the mathematical understandings of college students. Teaching Mathematicsand Its Applications: An International Journal of the IMA, 29(3), 113-139.Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitativeanalysis (1st ed.). London: SAGE Publications Ltd.Charmaz, K. (2014). Constructing grounded theory (2nd ed.). London: SAGE PublicationsLtd.Crabtree, B. F., & Miller, W. F. (1992). A template approach to text analysis: Developingand using codebooks. In B. F. Crabtree & W. L. Miller
. Educ., vol. 94, no. 1, pp. 87–101, 2005.[4] E. Mazur, Peer instruction: A user’s manual. Upper Saddle River, NJ: Prentice Hall, 1997.[5] C. H. Crouch and E. Mazur, “Peer instruction : Ten years of experience and results,” Am. J. Phys., vol. 69, pp. 970–977, 2001.[6] D. Hestenes, M. Wells, and G. Swackhamer, “Force concept inventory,” Phys. Teach., vol. 30, pp. 141–158, 1992.[7] M. K. Smith et al., “Why peer discussion improves student performance on in-class concept questions.,” Science (80-. )., vol. 323, pp. 122–124, 2009.[8] B. Brooks and M. Koretsky, “The effect of Peer Instruction on students’ construction of conceptual understanding in thermodynamics,” in ASEE Annual Conference and
Paper ID #25842Design & Evaluation of a Multipurpose Course Structure for Teaching Digi-tal LogicDr. Brock J. LaMeres, Montana State University Dr. Brock J. LaMeres is a Professor in the Department of Electrical & Computer Engineering at Mon- tana State University (MSU) and the Director of the Montana Engineering Education Research Center (MEERC). LaMeres is also the Boeing Professor at MSU where he is responsible for initiatives to im- prove the professional skills of engineering graduates. LaMeres teaches and conducts research in the area of computer engineering. LaMeres is currently studying the effectiveness of
Paper ID #27623ABET Accreditation: Best Practices for A Systematic Coordinated Multi-Program ApproachDr. Petronella A. James-Okeke, Morgan State University Dr. Petronella James-Okeke serves as the Accreditation Coordinator for the School of Engineering, at Morgan State University (MSU), where she leads the 2019 multi-program accreditation process. Dr. James-Okeke previously served as the Assessments and Online Program, Faculty coordinator for the Department of Electrical and Computer Engineering. She teaches at the graduate and undergraduate level, using both face-to-face and blended online learning instruction. She is an
Paper ID #27433Deepen Students’ Understanding of Computer Networking via a Project-orientedCooperative Learning StrategyDr. Guodong Wang, Massachusetts College of Liberal Arts Dr. Guodong Wang is currently an Assistant Professor in the Computer Science Department, Mas- sachusetts College of Liberal Arts (MCLA). His research topics include: (1) Big data transfer in high- speed networks; (2) Future Network Architecture, e.g., Software Defined Networking (SDN); (3) Future Smart Grid Architecture; and (4) Cyber Security in Wireless Sensor Networks (WSN) and Internet of Things (IoT). He has published over 30 research papers
Paper ID #26611Designing an ABET-ready Computer Engineering Program in a Medium-Sized Liberal Arts CollegeGina Martinez, Lewis University Gina Martinez is an Assistant Professor in the Department of Computational and Mathematical Sciences and the Director of Computer Engineering at Lewis University in Romeoville, Illinois. She earned a Ph.D. in Electrical Engineering from Illinois Institute of Technology in December 2014 for her dissertation on ”Optimal Routing Algorithms in Energy-harvesting Wireless Sensor Networks”. Prior to that, she re- ceived an M.S. degree in Computer Engineering from Illinois Institute of
Paper ID #26718Board 57: Work in Progress: A Balancing Act - Evolution of Assessments inAn Introductory Programming Course in ECE After Curriculum RedesignProf. Yuting W. Chen, University of Illinois at Urbana-Champaign Dr. Yuting W. Chen received the B.S. degree from University of Illinois - Urbana Champaign in 2007, and the M.S. and Ph.D. degrees from Rensselaer Polytechnic Institute in 2009 and 2011, all in Electrical Engineering. Prior to joining the Department of Electrical and Computer Engineering at University of Illinois at Urbana-Champaign as a faculty in 2015, she worked at IBM Systems Group in Poughkeepsie, NY in