several course-related, co-op, and extracurricular projects withundergraduates, including security [2, 3] and digital/computer hardware projects. In each project,the pedagogical outcomes are similar: 1. The student should learn a new technical concept or skill outside of their typical courses. 2. The student should practice independent research techniques, including task management, reading/writing academic papers, and self-guiding exploratory tasks. 3. The student should gain insight into graduate-level research and/or industry laboratories. 4. The student should advance their own (self-defined) career and educational goals.The past experiences of undergraduate research gave the faculty member a default structure toguide the student
. 98, no. 1, pp. 53–66, Jan. 2009. DOI: 10.1002/ j.2168-9830.2009.tb01005.x.[21] H. C. Powell, R. W. Williams, M. Brandt-Pearce, and R. Weikle, “Restructuring an electrical and computer engi- neering curriculum: A vertically integrated laboratory/lecture approach,” presented at the 2015 ASEE Southeast Section Conference, Gainesville, Florida: American Society for Engineering Education, Apr. 2015. [Online]. Available: http://se.asee.org/proceedings/ASEE2015/papers2015/53.pdf.[22] S. A. McLeod. (Aug. 3, 2019). Likert Scale, [Online]. Available: https://www.simplypsychology. org/likert-scale.html (visited on 03/13/2020).
Department of Electrical and Computer Engineering at Colorado State University, where he also is Director of Electromagnetics Laboratory. He received a Ph.D. in elec- trical engineering from the University of Belgrade, Yugoslavia, in 1995. His research publications in computational and applied electromagnetics include more than 150 journal and conference papers. He is the author of textbooks Electromagnetics (2010) and MATLAB-Based Electromagnetics (2013), both with Pearson Prentice Hall. Prof. Notaros served as General Chair of FEM2012, Colorado, USA, and as Guest Editor of the Special Issue on Finite Elements for Microwave Engineering, in Electromagnetics, 2014. He was the recipient of the 1999 Institution of Electrical
. Stanley, "A Brief Survey of Machine Learning Methods and their Sensor and IoT Applications," Proceedings 8th International Conference on Information, Intelligence, Systems and Applications (IEEE IISA 2017), Larnaca, August 2017.Journal article [20] A. Spanias and V. Atti, “Interactive On-line Undergraduate Laboratories Using J-DSP,” IEEE Trans. on Education Special Issue on Web-based Instruction, vol. 48, no. 4, pp. 735-749, Nov. 2005.Conference paper [21] F. Khondoker, U. Shanthamallu, T. Thornton, A
) in Year 1. The same teams ofstudents meet regularly throughout the semester in which they will work on a series of problems.Each team has one allocated “home room” in which they can work together and meet theirsupervisor on a weekly basis. In addition, students have access to laboratories to runexperiments. Meetings with student teams and supervisors follow the PBL five main stepsadapted from the PBL handbook10.The 5 step cycle is illustrated in Figure 2. Each week, students meet with their respectivesupervisor for one hour in which an agenda is discussed. The agenda should contain topics thatthe students can obtain most guidance from their supervisor. In semester 1 and 2 of year 1, theproblems were defined and selected by the teacher. This
command window. This will give us the “Create Quick Start” window shown in Figure 1.ffffffffffffffffffffffffffffffffffffffffffffw fThis is not entirely true, as the laboratory accompanying the class on Digital Logic is a class on its own.Also, the class on Electromagnetism is cross-listed with the Physics Department and, thus, does not have a Page 12.362.3laboratory component. Choose “ ł̨œıf‹ fifn¤ªŁ̨ ł o” to make the desired new GUI system and click “OK”. The window in Figure 2 will be invoked to design your own GUI system. On the window in Figure 2, you may design any kind of GUI system by clicking and dragging from the menu
13.943.16ConclusionThe software tool was designed to help students in solving problems related to electric machinesand power systems. The information and data collected from the surveys were analyzed andused for the assessment and evaluation. Students have responded favorably to and expressedtheir satisfaction in the developed tool. I believe that the media based instructional tool offerssome advantages such as it is a completely learner-paced, it can be followed easily, it does notrequire a great deal of time or effort and the learner does not have to be at a specific time andplace to use it. In the course, Electric Machines and Power Systems, it is no longer necessary todevote additional classroom or laboratory time to provide and solve examples; students can
Member of the IEEE. He typically teaches courses in digital signal processing, microprocessors, and senior design.Owe Petersen, Milwaukee School of Engineering Dr. Petersen is Department Chair and Professor of Electrical Engineering and Computer Science at the Milwaukee School of Engineering (MSOE). He is a former Member of Technical Staff at AT&T Bell Laboratories and received his Ph.D. degree from the University of Pennsylvania in 1971. He is a Senior Member of the IEEE and an ABET EAC program evaluator in Electrical Engineering. Page 13.1070.1© American Society for Engineering Education
). Prentice Hall, 1995.13. S. K. Mitra. Digital Signal Processing: A Computer-Based Approach, 2e with DSP Laboratory using MATLAB. McGraw-Hill Science/Engineering/Math. 2001.14. R. C. Gonzalez, R. E. Woods, S. L. Eddins. Digital Image Processing Using MATLAB. Prentice Hall; 1st edition. 2003.15. www.canalys.com16. .A. Panchul, D. Akopian, "On porting computer applications into Symbian cell phone platform", IEEE Region 5 Conference, April 2006, San Antonio, TX.17. .A. Panchul, D. Bhupathiraju, S. Agaian, D. Akopian, "An imaging toolbox for smart phone applications", accepted to Mobile Multimedia/Image Processing for Military and Security Applications, SPIE Defense and Security Symposium Symposium, 17-21 April 2006, Orlando, FL18
of his/her team in the EPICS laboratory.During this laboratory time the team members will take care of administrative matters, do projectplanning and tracking, and work on their project. Class meeting rooms are located adjacent todesign, test and build space for the teams in order to facilitate the project work. Divisions aresupervised by faculty, practicing engineers from local companies or university staff such as ITprofessionals.All students must also attend a number of one-hour lectures or interactive workshops eachsemester. The lectures/workshops are designed to supplement the work on the project. Many ofthe lectures/workshops are by guest experts, and have covered a wide range of topics related toengineering design, communication
Math & CS, TrumanState University,1997 – 1999 Director of CAD Laboratory, Institute of Technology, PANDA ElectronicsCo., Ltd, 1995 – 1997 Electronic Engineer, Institute of Technology, PANDA Electronics Co., Ltd, 1995 –1997 Assistant Electronic Engineer, Institute of Technology, PANDA Electronics Co., Ltd, 1989 – 1996(c) Publications Five publications closely related to the project[1] W. Zhu & W. He, ”Wavelet Tight Frames for linear NURBs: Intervals”, Essays on Mathematics andStatistics, Volume 4, Athens Institute for Education and Research, November 2013. [2] W. Zhu, ”Themultilevel structures of NURBs and NURBlets on intervals: Monograph on NUMBlets modeling,” ISBN:978-3-659-19291-3, Lambert Academic Publishing, Germany, November 2012
whoare enrolled in these classes. Based on the results from these pilot studies, a multi-year studywas implemented to investigate the use of online quizzing and incremental feedback to promotestudent self-directed learning and improve student confidence. This approach is not areplacement for, but instead a supplement to traditional assignments and projects.This paper describes the results of that multi-year study implemented in different types ofelectrical engineering courses. The purpose of the project and student outcomes aresummarized. The implementation differences and limitations for the different types of electricalengineering courses (theoretical, mathematical, laboratory) are discussed. The results of studentsurvey data clearly show that
first year engineering faculty. A new elective course is proposed to supplementthe current curriculum and implement this research study. Currently, the first engineering coursethat students take at Texas A&M University, ENGR 102: ENGR Lab I Computation, is a 2-credithour course to learn programming with Python 3. The new proposed course will be a 1-credithour laboratory-based course taken concurrently that will mimic the course taught at UniversidadT´ecnica Federico Santa Mar´ıa. First-year engineering students at Texas A&M University aregeneral engineering majors; they have not selected their major yet and will be a mix of differentdisciplines and backgrounds.The proposed course will follow the same methodology as the original course
implemented. After alearning tool was implemented, improvement with that tool is also noted.Table 6: Implementation schedule for learning tools Semester Learning Tools Spring 2014 Flipped class, Real-world examples, Laboratory redesign (improved continuously in following semesters), Step-by-step cookbooks, Color the nodes, Circuit System Design cards (basic), Circuit analysis toolbox (rough), Online feedback Fall 2015 Circuit System Design cards (improved) Spring 2015 Circuit analysis toolbox (improved) Summer 2015 In class demos Fall 2016 In class demos (improved) Spring 2016 Circuit analysis toolbox (improved), Muddiest Point feedback Spring 2017
workindividually or in self-selected pairs on a directed active learning assignment as faculty and labassistants employ a “teaching by walking around (TBWA)” philosophy. By implementingTBWA, faculty can interact with every student in the class in an informal manner as each student/ student-pair work at their own pace. Students receive individual attention and can receiveimmediate feedback as they work.During the ECE-322 annual continuous improvement cycle, it was suggested that the existingmixed-mode format and TBWA style could easily be adapted into a MOOC [6]. In turn, theMOOC could serve as an interactive textbook that integrates many components such as readings,video lectures, homework assignments, self-assessments, quizzes, laboratory projects, and
. M. Cummings and T. Cooklev, “Tutorial: Software-Defined Radio Technology”, IEEE 25th International Conference on Computer Design, Oct. 2007.3. V.Goverdovsky, et.al., “Modular Software-Defined Radio Testbed for Rapid Prototyping of Localization Algorithms”, IEEE Transactions on Instrumentation and Measurement, vol. 65, No. 7, July 2016.4. C.R. Johnson and W.A. Sethares, Telecommunications Breakdown, Pearson Prentice Hall, New Jersey, 2004.5. S. Mao, et al., “Introducing Defined Radio into Undergraduate Wireless engineering Curriculum through a Hands-on Approach”, ASEE Proceedings, 2013.6. S. Mao, Y. Huang, and Y. Li, “On Developing a Software Defined Radio Laboratory Course for Undergraduate Wireless Engineering Curriculum
Pacific Gas & Electric.Dr. Farid Farahmand, Sonoma State University Farid Farahmand is an Associate Professor in the Department of Engineering Science at Sonoma State University, CA, where he teaches Advanced Networking and Digital Systems. He is also the director of Advanced Internet Technology in the Interests of Society Laboratory. Farid’s research interests are optical networks, applications of wireless sensor network technology to medical fields, delay tolerant networks. He is also interested in educational technologies and authored many papers focusing on eLearning and Active Learning models. c American Society for Engineering Education, 2016 Techniques in Data
Paper ID #13632Impact of a First and Second Year Culminating Experience on Student Learn-ing in an Electrical Engineering CurriculumDr. Cory J. Prust, Milwaukee School of Engineering Dr. Cory J. Prust is an Associate Professor in the Electrical Engineering and Computer Science Depart- ment at Milwaukee School of Engineering (MSOE). He earned his BSEE degree from MSOE in 2001 and his Ph.D. from Purdue University in 2006. Prior to joining MSOE in 2009, he was a Technical Staff mem- ber at MIT Lincoln Laboratory. He teaches courses in the signal processing, communication systems, and embedded systems areas.Dr. Richard W
Paper ID #11453A Paramedic Method Drill Master to Improve Student WritingProf. David Braun, California Polytechnic State University David Braun received the Ph.D. degree in Electrical and Computer Engineering from the University of California at Santa Barbara in 1991. From 1992 to 1996, he worked for Philips Research Laboratories in Eindhoven, The Netherlands, on semiconducting polymers for display applications. He joined California Polytechnic State University, San Luis Obispo in 1996 and is now a Professor in the Electrical Engineer- ing Department. See www.ee.calpoly.edu/faculty/dbraun/ for more information. He teaches
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 laboratory development, antennas, wireless communica- tions, signal processing, and instrumentation. Page 26.116.1 c American Society for Engineering Education, 2015 A Successful “Applications
, TX.Hoffbeck, J. (2014). Using Practical Examples in Teaching Digital Logic Design. Proceedings of the 2014 ASEE Annual Conference. Indianapolis, IN.McCarthy, D., Wright, C., Barrett, S., & Hamann, J. (2010). Student-created laboratory exercises for a Digital Systems Design Course using HDL and PLDs. Proceedings of the 2010 ASEE Annual Conference. Louisville, KY.Peterson, B., & Clark, A. (2012). PRISM: The reincarnation of the Visible Computer. Proceedings of the 2010 ASEE Annual Conference. Louisville, KY. Page 26.1062.15Vahid, F. (2011). Digital Design. Wiley.Wang, G. (2010). Preview, Exercise, Teaching and
paper discusses a Real Time Embedded System Course I designed that uses theXilinx Zynq platform to give students first-hand experience with modern System-on-Chip designmethodologies and the challenges that designers face in both hardware and software bring-up fora modern IP-based design.The first portion of this paper discusses how students were trained to use the Zynq platform. Thefirst weeks of the class were dedicated to teaching students the basics of real-time system andcustom hardware design. Students used a Zynq-based port of Free-RTOS to learn about Real-time operating systems. Through a series of laboratory assignments, students are taught how tointerface the RTOS with custom hardware that they place on the FPGA portion of the chip
head of Electrical and Computer Engineering at Colorado State University. He is a fellow of the IEEE. A complete vita is available at: http://www.engr.colostate.edu/ ˜aam.Prof. Branislav M. Notaros, Colorado State University Branislav M. Notaros is Professor in the Department of Electrical and Computer Engineering at Colorado State University, where he also is Director of Electromagnetics Laboratory. He received a Ph.D. in elec- trical engineering from the University of Belgrade, Yugoslavia, in 1995. His research publications in computational and applied electromagnetics include more than 150 journal and conference papers. He is the author of textbooks Electromagnetics (2010) and MATLAB-Based Electromagnetics (2013
., et al., The Wave Concepts Inventory – An Assessment Tool for Courses in Electromagnetic Engineering, in Frontiers in Education1998: Tempe, Arizona.6. Acuna, A. and R. Sosa, 2010. The Complementary Role of Representations in Design Creativity: Sketches and Models. Proc. Int. Conf. Design and Creativity. Japan.7. Moore, T.J., et al., Modeling in engineering: the role of represntational fluency in students' conceptual understanding. Journal of Engineering Education, 2013. 102(1): p. 141-178.8. R. A. Cheville, A. McGovern, and K. Bull, The Light Applications in Science and Engineering Research Collaborative Undergraduate Laboratory for Teaching (LASER CULT)-Relevant Experiential Learning in Photonics
there must be a forward transmitted and backward reflected wave at adiscontinuity in the characteristic impedance in order to conserve energy. We exploit thisconsequence to calculate the attributes of the transmission line. This project can be conductedunder the pretext of a power company or communications company who want to locate faults intheir transmission lines.CharacteristicsStudents are asked to find: 1. velocity of propagation in the transmission line, 2. length of the transmission line, 3. attenuation coefficient of the transmission line, 4. impedance of an unknown termination.Initial ConditionsThis project is best presented a laboratory project. In other words, the only equipment need is anoscilloscope, function generator
Midwest Symposium on Circuits and Systems, and as the Guest Editor of IEEE Trans. on Computer- Aided Design of Integrated Circuits and Systems Special Issue on Design Quality and Design Closure: Present Issues and Future Trend”, 2005. He also served as the Guest Editor of the Microelectronics Journal on Quality Electronic Design, 2005. His research interests include VLSI circuit and system design, CAD methodology for VLSI design, and bioelectronics.Prof. Branislav M. Notaros, Colorado State University Branislav M. Notaros is Professor in the Department of Electrical and Computer Engineering at Colorado State University, where he also is Director of Electromagnetics Laboratory. He received a Ph.D. in elec- trical
offered by theDepartment of Computer Science. Both courses are sophomore-level courses that are requiredfor the departments’ undergraduate majors. The two courses cover almost identical material:representation of information, both combinational and sequential circuit analysis and design, andcomputer organization and control. Both courses use the same text3, but they are not jointlyoffered, primarily due to their large enrollments of 200 and 120 students per semesterrespectively. In both courses, students attend three hours of class every week; two hour-longlectures are taught by faculty and one hour-long recitation is taught by graduate teachingassistants. Students complete schematic-capture and simulation-based laboratory assignments ona bi
equipment. Student teams are given keys to the laboratory facility, a work bench,and locking storage cabinets.The teams are organized to simulate the manufacturing process. The original goal was for teamsto learn teamwork and the importance of deadlines by completing the design in consecutivestages. For example, the Simulation team begins work and finishes simulating the project at thebeginning of the second week of class. The Simulation team then passes their schematic file tothe CAD team who lays out the board and then passes a file to the PCB Fabrication team. For allsix teams, including professional fabrication of printed circuit boards and error checking, theprocess of completing Project #1 follows the flowchart shown in Figure 2
level to mostly primary cosmic rays near balloon-float altitudes. Additionally, this project intended to study how the intensity of cosmic rays changeswith altitude, based on measurements of cosmic ray intensity from multiple arrival directions,providing a more complete picture of the high‐altitude radiation environment caused by cosmicrays.To achieve the project goal, a payload integrating various subsystems for cosmic-ray detection andevent processing has been designed in a top-down design approach: initially establishingengineering requirements of the payload for the experiment, carrying out functionaldecomposition, and actual laboratory design of subsystems by student team members from the
shorteningthe length to cover only the two days of the competition. In the case of USMA, the trip is fullysponsored by our international office at no cost to the students or academic department.In 2011, one very interesting collaborative opportunity our students came across was with theIntelligent Control Laboratory at Peking University. Several Chinese graduate students had beenworking on building and controlling robotic fish. Our students were very excited about theproject and had a great deal of discussions with the Chinese students about the mechanics,controls, communications, and image processing involved in the project. We learned that theunderwater robot platform developed at Peking University has been used for robotic fishcompetitions annually