multidisciplinaryapproach which draws on various concepts and knowledge base in an iterative process. The ‘Engineering Clinics’ atRowan University a design infused, multidisciplinary, eight-semester sequence of courses in the College ofEngineering. Inter/multi-disciplinary student teams engage in laboratory hands on activities focused on solving realworld problems related to automation, additive manufacturing, embedded systems, renewable energy, artificialintelligence and biomedical technology to name a few. The aim is to prepare the students for highly evolving,competitive marketplaces. It also serves as an excellent testbed for conceptualizing and iterating engineeringinnovation and research.This paper will discuss two projects where multidisciplinary groups of
Muci-Kuchler, South Dakota School of Mines and Technology Dr. Karim Muci-K¨uchler is a Professor of Mechanical Engineering and Director of the Experimental and Computational Mechanics Laboratory at the South Dakota School of Mines and Technology (SDSM&T). Before joining SDSM&T, he was an Associate Professor of Mechanical Engineering at the University of Detroit Mercy. He received his Ph.D. in Engineering Mechanics from Iowa State University in 1992. His main interest areas include Computational Mechanics, Solid Mechanics, and Product Design and Development. He has taught several different courses at the undergraduate and graduate level, has over 50 publications, is co-author of one book, and has done
and refining soft robot fingers, thendesigning and improving soft grippers.ParticipantsUsing a purposive sample, to “maximize what we can learn” [17, p. 4], two students wereselected and invited to engage in this research as a design team. First, the teacher Mr. Gray (allnames are pseudonyms) was chosen for his past participation in the broader soft robotics study,and therefore familiarity with the design context, as well as his willingness to host the in-classobservations and research for the case study. Mr. Gray began the soft robot design lessons in hisclassroom and moved to a nearby laboratory space as students began fabrication stages of design.Students worked individually on conceptual phases of design, before forming a team to
design communicate a design redesignStudent experience factors used in this study include: 1. Gender: male, female, other/prefer not to respond 2. Project sponsor type: from where the project originated. The options were industry, faculty, national laboratory, or service. 3. Project validation method: students used various validation methods, some of which they were familiar and some of which were new to them. The options were physical product and testing, simulation and analysis (FEA, CFD, etc.), calculations, other. 4. Effort level: the average hours per week a student spent on project-related work outside of lecture and studio. The options were less than 4 hours, 4-8 hours, 8-12 hours, and more than 12 hours
”, Self-efficacy beliefs of adolescents 5, 307–337.http://web.stanford.edu/dept/psychology/bandura/pajares/014-BanduraGuide2006.pdf[11] Barr, D. A.; & Burke, J. R. (2013). “Using confidence-based marking in a laboratory setting: A tool for student self-assessment and learning.”The Journal of chiropractic education, 27(1), 21. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3604960/[12] Carberry, A.; Lee, H. & Ohland, M. (2010), “Measuring engineering design self-efficacy”, Journal of Engineering Education 99 (1), 71–79.http://www.ceeo.tufts.edu/documents/journal/carberry_lee_ohland.pdf[13] Fantz, T.; Siller, T. & Demiranda, M. (2011), “Pre-Collegiate Factors Influencing the Self-Efficacy of Engineering Students”, Journal ofEngineering
toexpose students “to the language of the mechanical things that surround us” [3] (pg. 2). Due tothe success of this work, product dissection in engineering education has become moreprominent in introductory engineering courses [7]. While prior work has also brought awareness to the potential learning benefits of physicalproduct dissection, there are still many obstacles that keep dissection from being adopted on awider scale [8, 9]. For instance, there is a wide range of the products dissected in these courses;early adopters dissected anything from a see-and-say children’s toy to a four stroke engine [4, 5,10]. In addition, the material cost and the space and safety requirements of the laboratories alsohinder the large scale deployment
Electrical Engineering and MS Biomed- ical Engineering degrees from Drexel University, and her PhD Bioengineering degree from the University of Washington. Between her graduate degrees, she worked as a loop transmission systems engineer at AT&T Bell Laboratories. She then spent 13 years in the medical device industry conducting medical de- vice research and managing research and product development at several companies. In her last industry position, Dr. Baura was Vice President, Research and Chief Scientist at CardioDynamics. She is a Fellow of the American Institute of Medical and Biological Engineering (AIMBE).Vincent Chen, Loyola University Chicago Dr. Vincent Chen is an Assistant Professor of Biomedical
Paper ID #27039Proven Professional Development Strategies: Data from an ENG ASAP Trans-fer Student ProgramDr. Armando A. Rodriguez, Arizona State University Prior to joining the ASU Electrical Engineering faculty in 1990, Dr. Armando A. Rodriguez worked at MIT, IBM, AT&T Bell Laboratories and Raytheon Missile Systems. He has also consulted for Eglin Air Force Base, Boeing Defense and Space Systems, Honeywell and NASA. He has published over 200 tech- nical papers in refereed journals and conference proceedings – over 60 with students. He has authored three engineering texts on classical controls, linear systems, and
land and marine environ- ments and ship design for the U.S. Navy.Dr. Stephanie Sheffield, University of Michigan Dr. Sheffield is a Lecturer in Technical Communication in the College of Engineering at the University of Michigan.Mr. Magel P. Su, California Institute of Technology Magel P. Su is a PhD student in the Department of Applied Physics and Materials Science at the California Institute of Technology. He earned a B.S.E in materials science and engineering and a minor in chemistry from the University of Michigan. At Michigan, he was a member of the Ultrafast Laser - Material Interac- tion Laboratory and the Engineering Honors Program. He also served as an instructor for several courses including
produce computer-based models at theexpense of physical models. This fact is behind a general trend of teaching applied engineeringsubjects with minimal students’ involvement with physical set-ups including: laboratoryexperiments. Carrying out laboratory experiments and generating experimental data, visiting aproject site, and using pencil and paper to produce a schematic, are gradually fading away. Thesetraditional tools were instrumental in developing an engineering common sense. It is argued herethat generating data from physical models is potentially a great learning tool, particularly whenthe model is built by the students. Building a model, testing a model, generating physical datafrom the model, and analyzing said data, help students
monitoring methods Identify, formulate and solve an appropriate queueing model that applies IE4520 Stochastic Modeling to a given queueing system Formulate and solve problems using dynamic programming Carry out background research IE4522 Human-Machine Systems Conduct laboratory experiments in human response and performance, Interpret results statistically, use findings to design human-asset systems Apply concept of supply chain management IE4525
their support with the changes to the curriculum. Additionally,we are grateful to our scheduling office and laboratory managers who helped with organizationalaspects of running the course. Thank you, also, to Michael McCarthy and Derek Dunn-Rankinfor providing guidance on the history of MAE projects. Finally, thank you to the two anonymousreviewers for their helpful comments and feedback.ReferencesAdams, R. S., Turns, J., & Atman, C. J. (2003). Educating effective engineering designers: Therole of reflective practice. Design studies, 24(3), 275-294.American Association for the Advancement of Science [AAAS]. (2001). Atlas of science literacy.Washington, DC: National Science Teachers Association.Archer, L. B. (1965). Systematic method for
design processes.Dr. Kathleen H. Sienko, University of Michigan Kathleen H. Sienko is an Arthur F. Thurnau Professor and Associate Professor of Mechanical Engineering at the University of Michigan (UM). She earned her Ph.D. in 2007 in Medical Engineering and Bioastro- nautics from the Harvard-MIT Division of Health Science and Technology, and holds an S.M. in Aero- nautics & Astronautics from MIT and a B.S. in Materials Engineering from the University of Kentucky. She co-founded the UM Center for Socially Engaged Design and directs both the UM Global Health De- sign Initiative (GHDI) and the Sienko Research Group. The Sienko Research Group is a multidisciplinary laboratory developing novel methodologies to create
Foundation (NSF) funded projects: Professional Formation of Engineers: Research Initiation in Engineering Formation (PFE: RIEF) - Using Digital Badging and Design Challenge Modules to Develop Professional Identity; Professional Formation of Engineers: REvolutionizing engineering and computer science Departments (IUSE PFE\RED) - Formation of Accomplished Chemical Engineers for Transform- ing Society. She is a member of the CBE department’s ABET and Undergraduate Curriculum Committee, as well as faculty advisor for several student societies. She is the instructor of several courses in the CBE curriculum including the Material and Energy Balances, junior laboratories and Capstone Design courses. She is associated with
This is challenging for the students,especially in a group environment such as senior capstone design. Likewise, studies have shownthat the international students have a difficult time succeeding in courses requiring the students togive formal presentations, which is true in senior capstone design.9,36,54 During the qualitative datacollection, international students often cited the nontraditional mode of course presentationsinstead of traditional course learning modes (sitting in class or laboratory). Further, internationalstudents expressed concern that their limited English-speaking ability may adversely affect theirteam.It was also found that the student’s intrinsic value decreased overall from the beginning of the fallsemester of senior