Paper ID #33052Applying Complexity Theory and Project-based Learning onto ProjectDesigns of Complex Computing Systems ¨ CampusVictor E. Lugo V´elez, University of Puerto Rico, Mayaguez Born and raised in Puerto Rico. Finished my Bachelor’s in 2017 and my Master’s in 2019 in the University of Puerto Rico, Mayag¨uz Campus. ¨ CampusDr. Nayda G. Santiago, University of Puerto Rico, Mayaguez Nayda G. Santiago is professor at the Electrical and Computer Engineering department, University of Puerto Rico, Mayaguez Campus (UPRM
Paper ID #32409Resilient Course Design for Teaching a Project-based Engineering CourseOnlineDr. Xiaorong Zhang, San Francisco State University Dr. Xiaorong Zhang is an Associate Professor in Computer Engineering in the School of Engineering at San Francisco State University (SFSU). She is the Director of the Intelligent Computing and Embedded Systems Laboratory (ICE Lab) at SFSU. She has broad research experience in human-machine interfaces, neural-controlled artificial limbs, embedded systems, and intelligent computing technologies. She is a re- cipient of the NSF CAREER Award to develop the next-generation neural
Stein, University of California, San Diego Works as the Project Development and Outreach Coordinator for the Electrical and Computer Engineering Department at UC San Diego.Prof. Truong Nguyen, University of California, San Diego Truong Nguyen is a Distinguished Professor at UCSD. His current research interests are video processing and machine learning algorithms with applications in health monitoring/diagnosis and 3D modeling. He received the IEEE Signal Processing Paper Award for the paper he co-wrote with Prof. P. P. Vaidyanathan on linear-phase perfect-reconstruction filter banks (1992). He received the NSF Career Award in 1995. While serving as department Chair (2014-2019), Prof. Nguyen and several faculty and
Paper ID #34625WIP: Collaborative Undergraduate Research Project to Develop aRemotely-Accessible, Open-Source, Portable, Software-Defined Radio-BasedAntenna Range for Research, Education, and OutreachCarl B. Dietrich, Virginia Polytechnic Institute and State University A licensed Professional Engineer in Virginia, Carl Dietrich earned a BS EE degree from Texas A&M University, and MS EE and PhD EE degrees from Virginia Tech. He has taught courses in software defined radio, communications systems, electronics, and electromagnetic fields. He has also taught short courses on software defined radio since 2007, covering
Paper ID #32780An Undergraduate Independent Study Project on the Design of a HomeAutomation System Using Global System for Mobile CommunicationDr. Eleanor Leung, York College of Pennsylvania Dr. Eleanor Leung is an assistant professor with the Electrical and Computer Engineering program of York College of Pennsylvania. Her research area is in wireless communications focusing on space-time block coding and the design of signal constellations. Her technical research area is in wireless communications focusing on space-time block coding and the design of signal constellations. She is also doing research work focused on
Paper ID #34793Work in Progress: Investigating the Role of Entrepreneurial-mindedLearning (EML) in Enhancing Student Learning for a Freshman Engineer-ingCourseDr. Chandana P. Tamma, Marquette University Chandana P. Tamma received her PhD in Electrical Engineering (2009) from Rensselaer Polytechnic Institute, Troy. NY. She is currently an Adjunct Assistant Professor with the Department of Electrical and Computer Engineering at Marquette University, Milwaukee. WI.Mr. Matthew Curran, Marquette University Matt Curran supports efforts related to KEEN’s Entrepreneurial Mindset at Marquette University as a KEEN Project Associate
capabilities, IoT Edge Devices require more sophisticated designsthan typical IoT Sensor Nodes that in turn require more sophisticated Design Engineers to buildthem. To prepare our students for these new challenges, we developed a hands-on laboratorycourse focused on the development tools, system components, and design paradigms used whenbuilding IoT Edge Devices. In this paper we describe the development of the course, oureducational objectives, course syllabus, project assignments, results and suggestions for futurecourse improvements.KeywordsInternet of Things, IoT Education, Remote Learning, Edge Computing, Embedded LinuxIntroductionOver the past year, we have developed a new university-level Internet of Things (IoT) courseprimarily focused on
real-time DSPlaboratory course that aims to give students hands-on experience with real-time embeddedsystems using Android tablets at an early stage of their careers. The students broaden and deepentheir understanding of basic DSP theory and techniques and learn to relate this understanding toreal-world observations and applications. The students learn industrially relevant skills such asrapid design prototyping in Python and Android development of DSP applications in C++/Javafor computationally constrained mobile devices. The course advances in two phases: structuredlabs and team projects. In the first half of the course, a series of structured labs are provided toimplement and analyze real-time DSP systems that utilize fundamental DSP
ECE program offers a Feedback and Control course tojunior students in the Electrical Engineering and Electromechanical Engineering majors. Thiscourse is a 3-hour lecture, 2-hour lab, as a 4-credit course. Topics discussed include modeling inboth the time and the frequency domains, time response, model reduction, stability, steady-stateerror, root locus, design via root locus, frequency response, and design via frequency response.Due to the COVID-19 pandemic, both students and faculty in our institution were forced to workand study from home in summer 2020. In order to engage students in distance learning,application-oriented and active-learning opportunities were created. A series of exclusivelysoftware-based labs and projects were designed
annual earnings. However, minorities continue to be underrepresented in scienceand engineering fields as reported by the National Science Board, Science & EngineeringIndicators. This work-in-progress project presents our attempts to tackle the challenges andimprove undergraduate training in EE program. Considering that the next generation electricalengineers should be exposed to the latest technology and have significant technical and scientificcapabilities, deep interdisciplinary understandings, and soft skills such as self-learning abilitiesand communication competence, Cyber-physical systems (CPS)/Internet of Things (IoT), thefeasible and effective platforms to present the undergraduate EE students with various sub-disciplines of EE, are
is focuses on engineering pathways, career and technical education, digital thread, cyber physical systems, mechatronics, digital manufacturing, broadening participation, and engineering education. She is a Director of Mechatronics and Digital Manufacturing Lab at ODU and a lead of Area of Specialization Mechatronics Systems Design. She worked as a Visiting Researcher at Commonwealth Center for Advanced Manufacturing in Disputanta, VA on projects focusing on digital thread and cyber security of manufacturing systems. She has funded research in broadening participation efforts of underrepresented students in STEM funded by U.S. Department of Education, focusing on com- puter science and cybersecurity pathways, and
—how we define it, how students perceive it, and how to measure it—an interest that continues to inform her work. American c Society for Engineering Education, 2021 Measuring Changes in Students’ Engineering Practice Skills in a Project-Based LaboratoryIntroductionUndergraduate engineering curricula across the United States are largely designed to preparestudents to enter industry upon graduation, yet studies over the past decade have suggested a gapbetween what is emphasized in this curriculum and the competencies that are most useful inindustry [1-4]. These studies indicate that important competencies are often underdeveloped inthe
enterprise; graduate more and better prepared minority engineers;increase efficiency and productivity at MSIs; and develop a sustainable and effectiveinfrastructure to support minority students, faculty and staff at all universities. In time, IEC willgrow and the model being developed can be replicated and implemented for other disciplines.Experimental Centric Based Engineering Curriculum for HBCUs: The ECP project createdan HBCU Engineering Network which successfully demonstrated that an experimental centricpedagogy combined with hands-on educational technology stimulates student interest in theSTEM area, promotes content acquisition, and problem solving, and retention. Hands-onactivities were shown to be successful across a variety of
firstprinciples. During the journey, they attain foundational Python software development skills andare exposed to many facets of ECE curriculum. In their final project, they repurpose theirwearable to address a new, unrelated problem so as to be challenged to be critical thinkersworking on open-ended problems – a highly sought-after skill by employers we surveyed.Due to the modular, often self-paced nature of the course, it has had a serendipitous outcomeduring the pandemic – namely, while being a highly hands-on course, it actually works extremelywell in settings of remote instruction. Feedback from students has been surprisingly positive asthey have had to work on their project kits from their homes rather than in the lab setting. Sincemuch of their
Science (Quantitative Economics) also from UC San Diego.Nicholas Stein, University of California, San Diego Works as the Project Development and Outreach Coordinator for the Electrical and Computer Engineering Department at UC San Diego.Katie Hsieh, University of California, San Diego Katie Hsieh is currently a second year undergraduate student in the Electrical and Computer Engineering Department at UC San Diego. She has been a tutor for an introductory ECE course since 2020 and is involved in engineering outreach programs.Ravi D. PatelFarnia Nafarifard, University of California, San DiegoChen Du, University of California, San Diego Chen Du received the B.S. degree in electrical engineering from Shanghai Jiao Tong
Servo Motor, Stepper Motors, DCmotors with encoders, Drivers for motors, Relays and solenoids, PWM based control of motors,Feedback methods such as PID to control motors and design of a robotic system. Student assessment in the course had the following components: homework/quizzes,development of a project and its presentation, service-learning activity, mid-term, and finalexamination. The Project assessment criteria are given in Table 1. Students constructed an “obstacle avoiding robot” on Arduino platform using ultrasonicsensor, DC motors, motor driver board and a chassis. The robot was powered by batteriesmounted on a small chassis with wheels driven by motors and other commercially availableelectronic parts. The Arduino accepted
overall communication costs. 2Students are introduced, through a series of laboratory projects, to the development tools anddesign paradigms required to build, deploy, and manage embedded Linux-based IoT Edge Deviceproducts. Students create their own custom Linux image for the laboratory development system,learn how-to configure system services, and build device drivers to interface with sensorhardware. Once students have a functioning system, they learn about common IoT networkprotocols, such as MQTT, WebSockets, and HTTP, looking at both the on-the-wire packet formatsand how to build applications using these protocols. By the end of the course, they will have builta working IoT Edge Device from end-to-end.Laboratory StationsThe laboratory was
reviewed publications in these fields.Mr. Lawrence David Landis, Intel Programmable Solutions Group Senior Manager University Academic Outreach, Intel Programmable Solutions Group Lawrence has 35 years’ experience in a wide variety of functions in the electronics industry including marketing, sales and project management for numerous ASIC and FPGA products. Larry teaches part time digital electronics and ASIC design at Santa Clara University and UC Berkeley.Prof. Perry L. Heedley, California State University, Sacramento PERRY L. HEEDLEY earned his Ph.D. and M.S. degrees from Auburn University and his B.E.E. from the Georgia Institute of Technology. He has over 20 years of industrial experience designing analog and mixed
second year students and serve as a motivating introduction to the program. The coursesoften use prototype boards to interface sensor and actuator modules from a system-levelintegration perspective. There are also courses at the other end of the spectrum that focus on thelow-level development of microcontroller firmware and how microcontrollers interface withindividual sensors, actuators, and other devices. Due to the detailed nature of the material, it canbe challenging to present these topics and labs within the context of an overarching project whilestill limiting the scope to fit within a single term.Pinball machines integrate many core topics of electrical engineering, computer engineering,mechanical engineering, and computer science in
the best paper in the Journal of Engineering Education. He was awarded an IEEE-USA Professional Achievement Award in 2013 for designing the nation’s first BS degree in Engineering Education. He was named NETI Faculty Fellow for 2013-2014, and the Herbert F. Alter Chair of Engineering (Ohio Northern University) in 2010. His research interests include success in first-year engineering, engineering in K-12, introducing entrepreneur- ship into engineering, and international service and engineering. He has written texts in design, general engineering and digital electronics, including the text used by Project Lead the Way.Mr. Joshua Alex´ei Garc´ıa Sheridan, Virginia Polytechnic Institute and State University
– knowing how databases interact with servers inbuilding IoT products, for example.The Agile Experiment (History of the Course)To meet these challenges, we established three project objectives. Our first objective was to findmore agile and sustainable processes to develop and continuously improve engineeringcurriculum. The second objective was to improve our pedagogical methods to make theclassroom learning experience more engaging [1]. The third objective was to develop a newlearning experience for our students that produced measurably better learning outcomes.An essential idiom that emerged from student, faculty, industry, and professional surveys was thewidespread use of agile methodologies. Since these methods are part of the curriculum we
graduating out of the major did not have necessaryexperience or knowledge in robotics. Using best practices in engineering education, the course transitioned from a lecturemodel to a project-based learning model that includes three blocks over a forty-lesson semester:block 1, introductory topics; block 2, robotics design and implementation; and block 3, mazecompetition. Each laboratory includes a brief fifteen-minute introduction to a fundamentalelectrical and computer engineering concept and 3.5-hours of hands-on application. For example,after learning how the average power of a system can be controlled via pulse-width modulation,students integrate motors into the robot and connect each motor to a modern measurement tool toobserve the
assignments, quizzes, and project reports to evaluate thestudents' performance on flipped modules versus their performance on traditional lecturingmodules or against other students in a non-flipped offering of the same course.Video lectures were recorded via the Panopto desktop application and were uploaded to the coursewebsite at least five days before the scheduled class meeting. For both courses, the videos rangedbetween 7 to 20 minutes long. The students were required to watch 4 to 6 videos before each classmeeting. To make sure that students watch the videos on time, they were quizzed at the beginningof each class meeting on the materials that were presented in the videos for that class. Theseaccountability quizzes were mainly multiple-choice
Optimization, Design, and Engineering Education Lab) Group. His research group currently performs research in the areas of system design, manufacturing, and their respective education. His system design research focuses on developing computational representation and reasoning support for managing complex system design through the use of Model Based approaches. The goal of Dr. Morkos’ manufacturing research is to fundamentally reframe our understanding and utilization of product and process representations and computational reasoning capabilities to support the development of models which help engineers and project planners intelligently make informed decisions. On the engineering education front, Dr. Morkos’ research
could become significant undertaking for the instructor and has likelydissuaded adaptation into some courses. With a better understanding of the time commitment andpossible avenues for implementation, more instructors could be compelled to try.In this work, an instructor in the field of Electrical and Computer Engineering converted threecourses to competency-based grading and allowed unlimited resubmissions for all quizzes, exams,and homework assignments (only final projects were exempt from resubmission). Data weregathered regarding the number of resubmissions, the faculty time grading, and the impact of theinfinite resubmission policy. In two semesters, these data are compared for three different courses,as well as compared to previous
curriculum and in considering the impact on the electronic measurement practices acrossall courses. Several of the key best practices are summarized below: • Utilization of common platforms when appropriate. A single mobile measurement platform is to be used throughout the curriculum in order to minimize costs for students and avoid requiring students to constantly learn new hardware platforms. • Utilization of a flipped lab environment as appropriate. With a mobile studio platform, the weekly lab is envisioned to serve as an open meeting where students can work on their experiments, ask questions, and demonstrate performance, but is no longer the sole work time for building and testing their projects. This allows
Paper ID #32829Introducing Communications to High School Students by Leveraging Zoomasa Communications PlatformProf. Curt Schurgers, University of California, San Diego Curt Schurgers is an Associate Teaching Professor in the UCSD Electrical and Computer Engineering Department. His research and teaching are focused on course redesign, active learning, and project- based learning. He also co-directs an undergraduate research program, Engineers for Explorations, in which undergraduates spearhead real-world engineering challenges that impact the world of exploration and resource conservation. Curt Schurgers received his B.S
September 4, 1999 Version 2c: Mountaineering, The Freedom of the Hills, 6th Edition, 1997 Q3: AC Power: Fundamental Electrical Quantities: Charge and Energy Conceptual Physics, Paul G. Hewitt, 9th Edition, 2002. Addison Wesley Q4: Fundamental Electrical Quantities: Charge and EnergyParticipantsThe data used for this study extend from a larger project conducted at Purdue University with thegoal to investigate engineering students’ misconceptions on scientific concepts [9], [12]. Juniorand senior electrical engineering students who had taken at least two electrical circuit
engineering topics and projects consisting of designproblems. For elementary grades, the LEGO engineering program was developed by the TuftsCenter for Engineering Educational Outreach and had a design focus. For middle and highschool, there were programs like those offered by Project Lead the Way, the Infinity Project, andthe modular Vanderbilt Instruction in Biomedical Engineering for Secondary Science, whichbased its curriculum on an iterative learning process [2]. Many institutions like ASEE haddeveloped guidelines for engineering curriculum, but not until 2013 were there any nationalstandards for engineering. Currently, twenty states have adopted NGSS and twenty-four haveadopted standards based on the National Research Council Framework for K-12
CS II, may alsoend up taking the same higher-level courses as students that have taken CS I and CS II.We study student performance in the two courses CS I and CS II to investigate the relationshipbetween grades in these two courses and advanced courses such as Object-oriented ProblemSolving, Data Structures, and Capstone Software Engineering course. The analysis of student datahelps us answer the research questions.Software Engineering is an advanced course that utilizes concepts learned in foundation coursesas well as 200- and 300-level courses. Students take up a term project and go through all phasesof software development i.e., Requirement gathering, Design, Development, Testing andDeployment. It is for this reason that we consider