Paper ID #21580Incorporating PlutoSDR in the Communication Laboratory and Classroom:Potential or Pitfall?Dr. John ”Ed” E. Post P.E., Embry-Riddle Aeronautical University John. E. Post received the B.S. degree in electrical engineering from Texas Tech University in 1981, the M.S. degree in engineering from the University of Texas at Austin in 1991, and the Ph.D. degree in electri- cal engineering from Stanford University in 2005. He was commissioned a second lieutenant in the United States Army in December, 1981 and served on active duty until his retirement as a lieutenant colonel in June, 2006. His military service
Paper ID #24034Design and Implementation of Electric Drives Laboratory using CommercialMicrocontroller Development KitsMr. Bhanu Babaiahgari, University of Colorado, Denver Mr. Bhanu Babaiahgari received his M.S degree from University of Colorado Denver, Denver, in 2015. He is currently pursuing PhD at University of Colorado Denver supervised by Dr. Jae-Do Park. Since 2016, he has been teaching Electric drives and Energy conversion laboratory and Energy conversion lab- oratory as part-time graduate instructor. He is a research assistant at Dr. Park’s Energy and Power lab under Energy Conversion Research Force (ECRF). His
Paper ID #22479Student Engagement and Industry Readiness in a Systems Exploration, En-gineering, and Design Laboratory (SEED Lab)Dr. Vibhuti Dave, Colorado School of Mines Dr. Vibhuti Dave is a Teaching Professor in the department of Electrical Engineering at Colorado School of Mines since 2011. She also serves as the assistant department head. She is heavily involved with un- dergraduate curriculum updates, assessment of learning outcomes and teaching core EE classes. Prior to Mines, she was at Penn State Erie, The Behrend College as an Assistant Professor in the Electrical, Com- puter, and Software Engineering program
University, we have partnered with Xilinx, a leading manufacturer ofFPGAs and a leading provider of programmable platforms to develop a graduate level course forComputer Engineering curriculum to bridge the gap between computer engineers and softwaredevelopers. This course would allow students from engineering and computer science majors tobe able to develop and implement applications on FPGAs using Python programming languageand overlays that are similar to software libraries. In this paper, we describe the structure of thecourse along with the associated topics and laboratory exercises.I. IntroductionToday, Field Programmable Logic Devices (FPLDs) are considered as an alternative toApplication Specific Integrated Circuits (ASICs) in
working in the Office of Undergraduate Education, School of Engineering and Applied Science at SUNY-Buffalo. Previously, he held a position of post- doctoral research associate in the Department of Electrical & Computer Engineering at the University of Nebraska-Lincoln. He formerly held a position of teaching assistant in the Engineering Education Department at Utah State University. He also worked as a laboratory instructor of Telecommunication Engineering at Technological University of Honduras teaching courses of Transmission System to senior students. He received his B.S. in Electrical Engineering from the National Autonomous University of Honduras and his Ph.D. in Engineering Education at Utah State University
Exposition in New Orleans, we look to transform some of our “cookbook” labprocedures to design of experiment projects. In addition to providing a better learning experience,these projects will also be able to support the new ABET student outcome 6: An ability to developand conduct appropriate experimentation, analyze and interpret data, and use engineeringjudgment to draw conclusions [1]. In this work, we will present our methods and results, alongwith a completed rubric to assess the new ABET student outcome.Background – the Radio LabThe RF Systems Laboratory is a required 1 credit hour junior-level course for the ElectricalEngineering program at AuburnUniversity (AU) [2]. Students simulate, Table 1: RF Systems Lab
Paper ID #22711Work in Progress: Reinventing the Undergraduate Electrical EngineeringCurriculum to Address Tomorrow’s Cross-Disciplinary Global ChallengesProf. Jamie Phillips, University of Michigan Jamie Phillips is an Arthur F. Thurnau Professor in the Department of Electrical Engineering and Com- puter Science at the University of Michigan. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Michigan, Ann Arbor, MI, USA, in 1994, 1996, and 1998, respec- tively. He was with Sandia National Laboratories, Albuquerque, NM, USA, and the Rockwell Science Center, Thousand Oaks, CA
electrical engineering examplesthroughout the text. This course differs from those above by not fully adopting the WSU modelbut using the precalculus engineering application concepts throughout the text to drive ourlectures while maintaining the laboratory experiments that were previously developed. Inparticular, this work in progress will analyze the course’s effect on students’ performance withinthe circuit sequence at MSOE. A study is proposed, in which we will perform a gradecomparison between students who took the introductory course in the three years before theinclusion of engineering math content and those who took the introductory course in the twoyears after the addition of engineering math content.Course evolutionFirst-Term Electrical
National Laboratories in Albuquerque, NM. He directs the KSU Medical Com- ponent Design Laboratory, a facility partially funded by the National Science Foundation that provides resources for the research and development of distributed medical monitoring technologies and learning tools that support biomedical contexts. His research focuses on (1) plug-and-play, point-of-care medi- cal monitoring systems that utilize interoperability standards, (2) wearable sensors and signal processing techniques for the determination of human and animal physiological status, and (3) educational tools and techniques that maximize learning and student interest. Dr. Warren is a member of the American Society for Engineering Education and
antennas for wildlife tracking. She has over 100 publications and 5 U.S. patents.Dr. Melde is an IEEE Fellow and was University of Arizona College of Engineering TeachingFellow in 2012. She is currently the director of Graduate Studies in ECE at the University ofArizona. Her teaching interests are in Antenna engineering, Microwave Engineering, andElectrical Packaging.Dr. Jonathan Chisum, Assistant Professor, Department of Electrical Engineering, Universityof Notre DameJonathan Chisum is an Assistant Professor of Electrical Engineering at the University of NotreDame. Prior to this he was a Member of Technical Staff at MIT Lincoln Laboratory where hisresearch focused on millimeter-wave circuits, antennas, and phased arrays for wirelesscommunications
students this opportunity, especially if done in an in-class orlaboratory setting. Laboratory courses give students a more hands-on approach to the conceptsand skills they are learning, making it a great time for individual and group reflection. However,if reflection is to be implemented within the laboratory setting, it is critical that the workload ofthe laboratory is not significantly increased. Adding a reflective portion to laboratory exerciseswithout revising the other activities will most likely contribute to students becoming overworked,which is detrimental to the very thing trying to be accomplished. This is discussed more later.Overall, this evolution towards making connections and reflective learning necessitates a shift inthe mindset
. Especially true in the first year course,where material is rapidly introduced. They want to have a better sense of underlying conceptsthan that which is presented in laboratories. In the Intro to ECSE class, I do find that the moreinvolved students are sometimes unsatisfied with the short attention we can give topics. Anumber of times I did stay late, trying to provide a deeper insight while not overwhelming themwith math. At a higher level, I credit the Circuits Beta labs for strongly encouraging students togo beyond the classroom. I have tried a similar approach in Intro to Electronics, though, withoutquite the same incentives. I still have about 20% of the class doing extra work, some of which isvery creative and beyond the scope of anything I
design industry for IBM and Broadcom for over ten years. He holds five US patents, several publications, and has circuits in over a billion chips around the world. His current research interests include laboratory teaching pedagogy, matrix converters in electric drives, and the application of power electronics in HVDC power systems.Mr. Kia Bazargan, University of Minnesota Kia Bazargan is an Associate Professor with the Department of Electrical and Computer Engineering at the University of Minnesota. Has has published over 70 peer-reviewed papers and book chapters related to FPGAs and VLSI computer-aided design. He received his Bachelors degree in Computer Science from Sharif University, Tehran, Iran, and the MS and
outcomes were assessed for the actual course (F and J),but all could be considered. These assessment tools are representative examples, and moreexamples could be created. The new ABET outcomes would also be able to map similarly to thecourse activities. Student Outcome Potential Assessment Tool(s) Mathematics: cryptology proof; science: electromagnetic (A) An ability to apply knowledge of mathemat- side-channel attack recreation or simulation; engineering: ics, science, and engineering any of the laboratory assignments listed in Table 1 (B
engineering students. In Integrated STEM Education Conference(ISEC), 2016 IEEE, 193-196.Ferri, B. H., Ahmed, S., Michaels, J. E., Dean, E., Garyet, C., & Shearman, S. (2009). Signal processingexperiments with the LEGO MINDSTORMS NXT kit for use in signals and systems courses. InAmerican Control Conference (pp. 3787-3792). Piscataway, NJ: IEEE. doi:10.1109/ACC.2009.5160602.Han, B., Zhang, C., & Qin, X. (2011). Based on Matlab signals and systems course project-driventeaching method research. In IEEE 3rd International Conference on Communication Software andNetworks (pp. 466-469). Piscataway, NJ: IEEE. doi:10.1109/ICCSN.2011.6013873.Huettel, L. G. (2006). A DSP hardware-based laboratory for signals and systems. In Proceedings, 4thDigital Signal
articles attempted to address misconceptions. Thus, there appears to be a need forresearch that addresses misconceptions. We might suggest focusing on prevalently reportedmisconceptions, such as physics term confusion and appropriate application of Ohm's Law.IntroductionMisconceptions in circuit analysis have been investigated by many researchers, and researchershave identified numerous issues: Conceptual [1][2][3][4], term confusion [5][6], fundamentalmathematical skills [7][8], incomplete metaphor [9][10], and diagnostics to identify suchmisconceptions [5][11]. Further, researchers have investigated many aspects: Communitycollege through research university levels, laboratory and lecture settings, and across differentlearning materials.However
Paper ID #21119Automated Formation of Peer-learning Cohorts Using Computer-based As-sessment Data: A Double-blind Study within a Software Engineering CourseDr. Ronald F. DeMara P.E., University of Central Florida Ronald F. DeMara is a Professor of Electrical and Computer Engineering at the University of Central Florida where he has been a faculty member since 1992. His educational research interests focus on classroom and laboratory instructional technology, and the digitization of STEM assessments. He has completed roughly 225 technical and educational publications, 43 funded projects as PI/Co-PI, and es- tablished two
college students to expose and increase their interest in pursuing Science Technology Engineering and Mathematics (STEM) fields. For over a decade now, Dr. Astatke has facilitated the donation of 250+ Electrical and Computer Engineering (ECE) portable laboratory instrumentation boards and has conducted capacity-building training workshops for five universities in Ethiopia. This work has improved the education of thousands of ECE students in Ethiopia annually. He has expanded his services to other African countries such as Nigeria, South Africa, and Cameroon. Dr. Astatke is recipient of several awards, including the 2016 Global Engineering Deans Council (GEDC)-Airbus Diversity Award, 2016 Black Engineer of the Year
university, with attendance of over 300+ members, in a 1200square foot space, and is staffed with skilled technicians. Students work one-on-one or in a smallgroup with a technician which allows them to collaborate and develop their teamwork andtechnical skills. Classes can consist of training on various pieces of laboratory equipment,soldering skills, microcontroller implementations, practical electronic components, PCB design,and much more. Once a student has gone through training on the equipment, they are able to useit for their projects, coursework, or research. The classes build on each other to provide acontinuous learning environment that can rapidly build student confidence in being able to tackleengineering problems. By integrating the
experiential learning. This can beas complicated as laboratory experiences or projects, or as simple as providing students an activerole in lecture. To facilitate student involvement in a lecture format, students must be prepared tocontribute to the discussion of new material.One common model for experiential learning is the Kolb Experiential Learning Cycle [1,2], whichhas four steps: 1. Introduction of new experience, 2. Reflection on this experience, 3. Abstractionof this experience, and 4. Application of this experience. An essential component of this cycle isallowing students the time to reflect on new experiences. If students are introduced to a new topicduring lecture, little reflection can take place prior to abstraction or application of that
study was set up as a traditional lecture classroom.Based on student comments, students attended class expecting to listen to a lecture with noexpectations of participating in group exercises. In the future, the course will be offered in aclassroom that is more conducive to group exercises. A classroom configured for groupexercises (such as a laboratory setting) [2] should inform student expectations regarding classactivities.Conclusions and Future WorkThe data from this preliminary study do not yield a firm conclusion about the effectiveness of theguided-inquiry active learning system. The results do indicate a modest gain in learning;however, it is not clear whether students would have demonstrated a higher gain in knowledgewithin a
laboratories [5, 6, 7, 8]. By building complete working devices in lab(often with a small amount of open-ended design), students more readily see the connectionbetween the theoretical work they are doing and its practical application in the “real world”.Course evaluation results, surveys of student interest in EE, statistics of final grades, andperformance in subsequent classes all indicate that this approach does in fact increase motivationfor non-majors and pique interest in those who might otherwise not pursue EE as a major.As we redesigned ENGR 40 to create a new course, ENGR 40M (‘M’ for “making”), we alsodrew heavy inspiration from CS 106A, the introductory computer science class at Stanford. Morethan 80% of undergraduates at Stanford take CS
. 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
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
. 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
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
learned. In an online environment that is asynchronous, learnersdo not have the constraints of time and place. By leveraging online technologies, studentlearning should be designed with transfer of same information to all learners. For the freshmanstudent, online learning is most suitable for factual type learning or less challenging learningactivities [12].F2F would be recommended for intensively challenging, high-benefit learning activities. Forexample, the hands-on laboratory experiments in EE110 solidify key concepts learned from themultimedia content: online videos, text readings, assigned homework and frequent onlinequizzes. Through peer collaboration, students can help each other work through the labs as wellas learning how to troubleshoot
’ understanding andexperience, especially for an undergraduate course.After a number of brainstorming sessions early-on to decide what “thing” (device) to build thecourse around, we chose a simple desk lamp. The decision to use a desk lamp was chosen basedon several criteria: • The device’s use and utility should be obvious to most any user; avoid devices requiring substantial domain knowledge (e.g., motor control), particularly since the target audience of students is broad (EE, CE, CS) • The device should have some state to manage, but that state should not be overly complicated • The device should be easily portable, so students can develop and use it in the classroom, home, dorm room, laboratory, or wherever they
. Graduateor advanced undergraduate students assist the team leader with the preparation andexecution of the hands-on activities.Each year, about 40-42 students are selected from a competitive application process, opento continuing students and incoming transfer students. To be eligible, students must havecompleted at least one semester of calculus, one laboratory science course, and oneadditional course in their majors. The first priority is given to the target population ofstudents transitioning between the sophomore-level and junior-level coursework. Thesecond priority is given to freshmen transitioning to sophomores and early-stagesophomores. Once the candidates are chosen, selection aims to optimize the diversity ofthe cohort within the groups
Computer Engineering at Colorado State University.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), both with Pearson Prentice Hall. Prof. Notaros served as General Chair of FEM2012, Colorado, USA, and as Guest Editor of