. Students investigate the vibration responses of vehicle suspensionssubjected to harmonic and impulse excitations. The second project is based on distributed-parameter aircraft wing models. Students build parametric wing CAD models and subsequentlyperform FEA vibration analysis for natural frequencies and modes. Informal student feedbackon integrating the two projects is positive.Acknowledgements This research is sponsored through the Indiana Space Grant Consortium (INSGC). Thesupport is gratefully acknowledged.References[1] D.L. Inman, Engineering Vibration, 4rd edition, Prentice Hall, 2014.[2] R. J. Ruhala, “Five Forced-Vibration Laboratory Experiments using two Lumped Mass Apparatuses with Research Caliber Accelerometers and Analyzer,” ASEE
[9,10]. Software tools can help achieve teaching goals that are unattainablethrough traditional teaching methods [11]. For example, Kobayashi [12] improved the datamatching module of a virtual mechanics laboratory software for the application of biomechanicseducation. Kobayashi’s work was presented as a work-in-progress and did not specify theteaching effectiveness of the improved module. Furthermore, Rahman and Bula [13] developed atutorial based software to aide undergraduate students in a “Thermal Systems and Economics”course. They found the instruction process was greatly enhanced because the application resultedin interactive learning. This interactive learning tool allowed students to cover more material bylearning at their own pace and
in educational robotics laboratories”, Proceedings of the 2015 ASEE Annual Conference & Exposition, Seattle, Washington, USA, June 14-17, 2015.[21] Malisiewicz, T., 2016, “The future of real-time slam and deep learning vs slam”, Tombone's Computer Vision Blog, pp. 1-14.[22] https://www.mathworks.com/help/vision/ug/monocular-visual-simultaneous-localization-and-mapping.html, accessed in April 2022.[23] Kim, H., Lee, D., Oh, T., Choi, H.T. & Myung, H., 2015, “A probabilistic feature map-based localization system using a monocular camera. Sensors”, Vol. 15, No. 9, pp. 21636-21659. 2022 ASEE Annual Conference & Exposition Minneapolis
development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He received his B.S. in mechanical engineering from Michigan State University. Dr. Johnson received his S.M. and Ph.D. from the Massachusetts Institute of Technology. Dr. Johnson’s research focuses on engineering education, production economics, and design tools. Dr. Johnson has over 80 peer reviewed publications and several patents. His research has been funded by the National Science Foundation, the Department of Energy, and industry. Dr. Johnson is a member of the American Society for Engineering Education, the American Society of Mechanical Engineers, SME, and a senior member of IEEE. He served as the president of the Tau Alpha Pi
you noticed first? • For each of the four resumes, what were some features that you would have liked to see? • In general, do you have any further insights to share regarding key experiences, skills, etc. that would lead you to offering an applicant an interview? Appendix B: Sample Resume John Appleseed johnapple@institution.edu | 1234 Main St. Collegetown, US 12345 | (123) 456-7890EDUCATION Collegetown Institution - College of Engineering B.S.E in Biomedical Engineering ● Cumulative GPA: 3.85/4.00EXPERIENCE Jones Laboratory, Biomedical Engineering Department Research Assistant, Professor
Paper ID #38283Transitioning Sustainable Manufacturing UndergraduateResearch Experiences from an In-Person to a Virtual FormatJeremy Lewis Rickli (Assistant Professor) Dr. Jeremy L. Rickli received his B.S. and M.S. Degrees in Mechanical Engineering from Michigan Technological University in 2006 and 2008 and received his Ph.D. in Industrial and Systems Engineering from Virginia Tech prior to joining Wayne State in 2013. At Wayne State, he has created the Manufacturing and Remanufacturing Systems Laboratory (MaRSLab). MaRSLab targets fundamental and applied research in manufacturing, remanufacturing, and
has demonstrated promise for broadening participation in STEM (NASEM,2019). Peer mentoring is defined as “a reciprocal, dynamic relationship between or among peerswhere one peer is usually more skilled or experienced than the other” (Rockinson-Szapkiw,Herring Watson et al., 2021, p. 2). However, most research on mentoring has been situatedwithin the context of the research laboratory, and a dearth of research exists that examines thepeer mentoring relationship outside of the research laboratory, utilizing a peer mentoring model,and within the context of historically black institutions (Rockinson-Szapkiw, Herring Watson etal., 2021; Rockinson-Szapkiw, Wendt et al., 2020). Thus, the current study sought to examinethe impact of racially and
understanding of the various welding processes, weldingterminology, joints, symbols, welding defects, and equipment, only the most essential manualwelding processes like SMAW, GTAW, and GMAW processes are taught in this course. Thecollege of engineering and technology at University A did not have a welding laboratory until2021. To improve students' learning, the instructors had arranged several visits to a communitycollege nearby to expose them to actual welding processes in 2017, 2018, and 2019. Although thetraining was beneficial for students, since most of them had not acquired academic training before,there were still some challenges in terms of commuting to an off-campus location. Many studentsat Univerisity A live in on-campus housing and do not
Paper ID #36578Entrepreneurial Mindset (EM) in Undergraduate Vibration ClassDr. Chau M. Tran, Mechanical and Aerospace Engineering, North Carolina State University Chau Tran is an Associate Teaching Professor in the Mechanical and Aerospace Engineering department at NC State University. He is currently the course coordinator for capstone senior design and previously was the course coordinator for Vibration, the director for undergraduate advising and the director for undergraduate laboratory. He teaches senior design and Vibration annually. He received his Ph.D. in Mechanical Engineering from NC State University in 1998
circuits, design, build, and test PCBs in both hardware and software aspects.The quality of the PCBs that students produced was encouraging indication that students weregreatly motivated. Further, the PCB design experience appeared to reduce a commondissatisfaction of students with a circuit course. From the student surveys, the students seemed toenjoy learning circuits and electronics through the lab exercises and PCB project, but not fortests or exams. The deficiency would be insufficient reviews to assist the students to prepare fortests/exams. This can be improved by managing the laboratory time and tests more efficiently.The course is offered in 2022 and another student survey results will be evaluated as a part of thecontinuous improvement
Paper ID #36432Student Learning Outcomes in a Statistics and ProbabilityCourse with a Credit/No Credit OptionGary Koenig Professor Gary Koenig is an Associate Professor in the Department of Chemical Engineering at the University of Virginia. He received a B.S. in 2004 from The Ohio State University and a Ph.D. in 2009 from University of Wisconsin-Madison, both in chemical engineering. He followed graduate studies with postdoctoral research in the Electrochemical Energy Storage Group at Argonne National Laboratory before starting a faculty position at University of Virginia. His current research interests include
Director of Teaching Laboratories for ECE prior to joining the Faculty as a Teaching Stream professor. He has received multiple awards on innovation, and was the first staff member to receive the Gordon R. Slemon Award for excellence in the teaching of design. Motivated by his strong interest in laboratory teaching within engineering education, he is presently completing a PhD in Cognitive Neuroscience at the University of Waterloo, with his research concentrating on prospective attention as applied to video instruction. In addition to his technical training and practice, he also holds a B.A. in Political Science/Int’l Relations (Calgary) and an MBA in Marketing (FGV – Brazil). He is a licensed Professional Engineer in the
rod to allow the precise, fine movement of the stage (Figure2b). After some trials, the students developed a very effective system to 3D print with classroomavaliable materials that was later finalized into curriculum [14], [15]. a bFigure 2. a) Stereolithography set up on top left corner makes submicron structures in a laboratory environment.Students simplified this process using a data projector to make a Lincoln memorial replica, sitting on a penny for scale.b) Stage device students created to allow a slide to lower into the polymer solution as the 3D object polymerized.Explore an Advancement in a Field A second strategy is to use an advancement in a
as avirtual four-week research camp. For Summer 2021, megaGEMS hosted the inaugural eight-week in-person Apprenticeship Research Camp from June 7-August 6, 2021, for eight risingjuniors or seniors. This Apprenticeship Research Camp was held at the Autonomous VehicleSystems (AVS) Research Laboratories located at the University of the Incarnate Word providedthe students with an experiential research camp mentored by both faculty and graduate studentsin the science of autonomy. The camp was funded through two grants provided by the ArmyEducation Outreach Program.Examples of projects included brain-computer interfacing, virtual reality, and Infrared andLIDAR sensor collection. One apprentice was able to obtain her FAA Part 107 UAS
Engineering at Rose-Hulman Institute of Technology, since 2003. He has a history of supervising student teams there. Prior to that he was a Member of Technical Staff at Bell Laboratories and at NCR Corp, where he worked on and led teams for many years. His PhD dissertation was in the area of AI Search. © American Society for Engineering Education, 2022 Powered by www.slayte.com A Team Taught Undergraduate Course on Data MiningAbstractWe summarize our experience team teaching an undergraduate data mining course and providerecommendations for those interested in developing and teaching their own course. We alsocompare and contrast our course to other data
Implementation: The foundation for this new design course was based on previousimplementations of electrospinning in senior design projects [13, 14], educational modules [15,16, 17], and research courses [18, 19, 20]. However, the novelty of this course was its goal ofcontrolling ambient conditions to improve manufacturing electrospun fibers. Specifically, studentsin teams of 4-5 were tasked to design an electrospinning system that could monitor temperature orhumidity and regulate the appropriate ambient parameter to stay within an ideal range.The course was designed to be a required 2-credit hour course that would be held once a weekduring a standard 3-hour laboratory period with ~20 students (5 teams). The course was led by oneprimary instructor and
Paper ID #39729Board 418: Understanding Context: Propagation and Effectiveness of theConcept Warehouse in Mechanical Engineering at Five Diverse Institutionsand Beyond – Results from Year 4Dr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. He has been at Cal Poly San Luis Obispo since 2006, where his research interests include aerospace
electrical engineering from the University of Wisconsin-Madison in 1992. Currently, he is a Distinguished Professor and Schweitzer Engineering Laboratories Endowed Chair in Power Engineering in the Department of Elec ©American Society for Engineering Education, 2023 Building and Testing an Economic Faraday Cage for Wireless, IoT Computing Education and Research Colton R. Hotchkiss, Ananth A. Jillepalli, Stu A. Steiner, Daniel Conte de Leon, Herbert Hess, Brian K. Johnson University of Idaho, Eastern Washington University [hotchkiss, ajillepalli, dcontedeleon, hhess, bjohnson]@uidaho.edu, ssteiner
utilize cobots in preparing future workforce-ready graduates.Engineering Technology faculty at Illinois State University redeveloped an existing IntegratedManufacturing Laboratory (IML) to include five industrial cobots to be used concurrently withfive six-axis articulated industrial robots in an undergraduate-level, applications-focused roboticssystems integration course. This paper describes the rationale for deploying industrial cobots intoa traditional industrial robotics systems integration course. It describes the lab redevelopmentprocess, provides initial assumptions and early observations, and discusses lessons learned todate. The next steps for research and practice are also outlined.BackgroundThe IML was initially established in 2007
Paper ID #37537An Upper-level Undergraduate Course in Renewable Energy with PowerElectronics and SimulinkDr. Harry O Aintablian, University of Washington Harry Aintablian is an Associate Teaching Professor of Electrical Engineering at The University of Wash- ington at Bothell. He received his Ph.D.in Electrical and Computer Engineering from Ohio University. His research interests include power electronics and renewable energy systems. He worked for several years in aerospace power electronics/power systems at Jet Propulsion Laboratory and at Boeing Space Systems. ©American Society for Engineering
successful and promising practices for inclusive STEMmentoring along several STEM pathways in various learning environments. The Center represents acollaboration between academic institutions, Department of Energy (DoE) national laboratories,professional societies, and regional industrial partners in researching and augmenting inclusive mentoringactivities for historically underrepresented minority students and students from other underservedpopulations.Five institutions serve as co-principal investigators in The Center: The University of Texas at Austin, TheUniversity of Texas at El Paso, The University of Texas at San Antonio, El Paso Community College,and Colorado State University. Within The Center, three working groups established a definition
• Waste Vegetable Oil • Algae • Sugarcane • Non-Woody Biomass: Grasses • Soybeans • Non-Woody Biomass: Municipal • Jatropha and other seed crops Solid WasteFor each example, we review regions suitable for cultivation, advantages, and disadvantages.The objective is that students learn about the benefits of biofuels and understand why, despitethese benefits, they have not been successful in replacing conventional fuels.We also include a laboratory activity on Greenhouse Gas Regulated Emissions and Energy Usein Transportation (GREET). This lab aims to train students to evaluate the energy and emissionimpacts of advanced and new transportation fuels and evaluate different vehicles and
, epistemologies, assessment, and modeling of student learning, student success, student team effectiveness, and global competencies He helped establish the scholarly foundation for engineering education as an academic discipline through lead authorship of the landmark 2006 JEE special reports ”The National Engineering Education Research Colloquies” and ”The Research Agenda for the New Dis- cipline of Engineering Education.” He has a passion for designing state-of-the-art learning spaces. While at Purdue University, Imbrie co-led the creation of the First-Year Engineering Program’s Ideas to Inno- vation (i2i) Learning Laboratory, a design-oriented facility that engages students in team-based, socially relevant projects. While
learning new skills with a semester-long independentdesign project. Every week, students attend a lecture dedicated to teaching and exemplifying theskills necessary for the week. Following the lecture, students have a weekly 4-hour, TA-ledlaboratory section that is split into a pre-lab consisting of tutorials for building the skills necessaryto complete the laboratory assignments and actual work on the lab within the context of theirdesign project. A schedule of the weekly topics covered can be found in Appendix A and arrangedsuch that students simultaneously develop their skills in CAE and apply those new skills to thedesign of their project.The design project chosen is a fidget toy colloquially known as a fidget spinner. This was chosenfor the
Paper ID #37609Design and Study of a Packed Absorption Column for CO2 ScrubbingDr. Maddalena Fanelli, Michigan State University Dr. Maddalena Fanelli is a Teaching Specialist in the Department of Chemical Engineering and Materials Science at Michigan State University. Dr. Fanelli teaches and coordinates a number of undergraduate courses and laboratories, helping students learn chemical engineering fundamentals and gain hands-on experience.Alexis ChuongMr. Robert Selden, Michigan State University Mr. Robert Selden is a Research and Instructional Equipment Technologist in the Department of Chemical Engineering & Material
a previous robotics course, and the earliercourse module on image processing. MATLAB also presents a more shallow learning curve, isinteractive, and supports prototyping and visualization. MATLAB fully supports CV and DLwith the Computer Vision Toolbox and Deep Learning Toolbox. Another constraint was therequired use of low-cost hardware and limited laboratory resources. As mentioned, all thenetwork training was used with standard laptops with CPUs and minimal GPU support. Nospecialized GPU hardware was required.Student projects focused on computer vision applications in robotics and manufacturing such asvisual defect analysis involved identifying good/broken cookies on a conveyor belt, missing ormisaligned bottle caps on small bottles
, Mexico City Campus. She obtained a Ph.D. in Computer Science from the Tecnol´ogico de Mon- terrey. She is co-leader of the Advanced Artificial Intelligence research group. She is responsible for the Cyber-Learning & Data Sciences Lab. She belongs to the National Research System of Mexico (SNI level II), the IEEE Computer Society, the IEEE Education Society, the Mexican Society of Artificial Intel- ligence, and the Mexican Academy of Computing. She got 3 awards (2 Gold winners and 1 silver winner) for her participation in the Project ”Open Innovation Laboratory for Rapid Realization for Sensing, Smart, and Sustainable Products”. QS Stars Reimagine Education. She obtained seven first-place awards for Ed- ucational
Paper ID #37324Board 314: Implementing the Vertically Integrated Projects (VIP) Modelat a Public Urban Research University in the Southeastern United StatesDr. Chrysanthe Preza, The University of Memphis Chrysanthe Preza is the Kanuri Professor and Chair in the Department of Electrical and Computer Engi- neering at the University of Memphis, where she joined 2006. She received her D.Sc. degree in Electrical Engineering from Washington University in St. Louis in 1998. She leads the research in the Computa- tional Imaging Research Laboratory at the University of Memphis. Her research interests are imaging science, estimation
Chemical Engineering at L.D. College of Engineering for 5 years before pursuing a PhD in Chemical Engineering from Imperial College London. Umang has developed surface preferential ap- proaches for nucleation and crystallisation of biological and complex organic molecules. More recently, he has worked as a Research Associate investigating the role of surface properties on particle-particle in- teraction and developed approaches for decoupling contribution of different surface attributes on powder cohesion. In 2012, as recognition to his contributions to Undergraduate laboratory teaching, he was been nominated for the Graduate Teaching Assistant Awards for the Faculty of Engineering. Umang currently has a role in leading
milliseconds which is not attainable when using the cloud computing paradigm.Instead, edge computing, which occurs physically close to the sensors and actuators, isimplemented. Thus, it is important for engineering students to gain hands-on experience with edgecomputing devices capable of performing AI tasks.What follows are sections on Previous Work justifying experiential learning in general, then,Description of AI Development Kits, Comparative Analysis, and Summary and Conclusions.2. Previous Work This section provides a short review of education literature related to the developments ofan experientially-based educational continuum as well as the AI in edge computing. Over 80 yearsago, Dewey [1] recognized that practical laboratory