AC 2011-222: MAKING IT REAL: SCALING UP INTERDISCIPLINARYDESIGN TO MODEL REAL-WORLD ENGINEERING ENTREPRENEUR-SHIPEckehard Doerry, Northern Arizona University Eck Doerry is an associate professor of Computer Science at Northern Arizona University. His research interests fall within the broad area on ”Groupware support for Online Groups”, with active research in portal-based tools to support distributed scientific communities, groupware tools to support small, dis- tributed engineering design teams, and distance education tools and environments. He has been a long- time advocate of realistic, interdisciplinary team design projects as a key element in engineering educa- tion, and has been managing advanced project
professional and ethical responsibility (g) an ability to communicate effectively (h) the broad education necessary to understand the impact of solutions in a global and societal context (i) a recognition of the need for, and an ability to engage in life-long learning (j) a knowledge of contemporary issues (k) an ability to use the techniques, skills, and modern scientific and technical toolsThe electrical engineering department at Oklahoma State University uses a two coursecapstone design sequence. The first course teaches skills required for design, while thesecond course has teams tackle open-ended design projects. The paper addressescurricular changes made to the first capstone course which prepare students for team-based design
. Silk, Rutgers, The State University of New Jersey Eli Silk is an Assistant Professor of Professional Practice in the Graduate School of Education at Rutgers, The State University of New Jersey. c American Society for Engineering Education, 2016 Predictive Modeling of Cognitive Style using Quality Metrics1 Motivation and Research QuestionsBy developing ways of assessing how engineers think and how their preferred cognitive stylesimpact their ideas, engineers can come to understand their ideation better. With such improvedunderstanding, they will be able to apply themselves to problems more effectively, as well asknow how to overcome possible issues faced in the ideation phase of design. This
had its own advantages and challenges. In this paper,we present some of the techniques we have used that have helped us improve studentlearning in large class settings. We discuss challenges associated with large classesinside and outside of the class. We present this research as a case study of a particularlarge computer science graduate course with information that may be replicable to otherlarge classes across computer science and engineering education. For our case study weselected a graduate level algorithms design class to demonstrate the effectiveness ofdifferent approaches to addressing the ever-increasing enrollment numbers for theseclasses. We share our experience with both pedagogical and logistical challenges insuch class settings
Paper ID #11100An Approach to Teaching People Skills in Senior Design Project CoursesDr. Robert G. Batson P.E., University of Alabama Bob Batson is a professor of construction engineering at The University of Alabama. His Ph.D. training was in operations research, and he has developed expertise in applied statistics over the past thirty years. He currently teaches the required courses in project management, safety engineering, engineering man- agement, and engineering statistics within the undergraduate programs of the Civil, Construction, and Environmental Engineering Department, and graduate courses in operations
Paper ID #12393CDHub 2.0: Laying the Foundation for an Online Repository for CapstoneDesignProf. Susannah Howe, Smith College Susannah Howe, Ph.D. is the Design Clinic Director in the Picker Engineering Program at Smith College, where she coordinates and teaches the capstone engineering design course. Her current research focuses on innovations in engineering design education, particularly at the capstone level. She is invested in building the capstone design community; she is a leader in the biannual Capstone Design Conferences and the Capstone Design Hub initiative. She is also involved with efforts to foster
. Page 13.775.1© American Society for Engineering Education, 2008 Integration of Industry Partners into a Capstone Design ProgramAbstractIn September 2004, the University of California, Santa Barbara, Department ofMechanical Engineering initiated a Capstone Design course requirement for seniormechanical engineering students. The course has transitioned from a three unit coursetypically taken in the final Spring quarter of the curriculum to a two unit course takeneach quarter of the academic year for a total of six units. Students work in teams underthe direction of a faculty advisor to tackle a mechanical engineering design project.Engineering communication, such as reports and oral presentations are covered. Thecourse emphasizes a practical
AC 2007-17: A TEN-STEP PROCESS FOR IMPLEMENTING ASERVICE-LEARNING COURSEMysore Narayanan, Miami University DR. MYSORE NARAYANAN obtained his Ph.D. from the University of Liverpool, England in the area of Electrical and Electronic Engineering. He joined Miami University in 1980 and teaches a wide variety of electrical, electronic and mechanical engineering courses. He has been invited to contribute articles to several encyclopedias and has published and presented dozens of papers at local, regional , national and international conferences. He has also designed, developed, organized and chaired several conferences for Miami University and conference sessions for a variety of organizations. He
theoretical review and clarification. Br J Educ Psychol,. 63(Pt 1): p. 3-19. 14. Prosser, M. and K. Trigwell, (1999) Understanding Learning and Teaching: The Experience in Higher Education. 15. Felder and Brent (2005) Understanding Student differences Journal of Engineering Education 94(1), p.57-72 16. Wilson, V., Harris, M. (2004) Review of Effective Teaching and Learning of Design and Technology. International Journal of Technology and Design Education 223-241 17. Pink, D., (2005). A Whole New Mind: Why Right-Brainers Will Rule the Future the Berkely Publishing Group, Published by the Penguin Group. New York
in an engineeringgraphics course as a mechanism to expose students to relevant business processes, digital thread,and data management practices that are commonly used in industry. According to Pezeshki et al.[14], “a PLM method can be viewed as a sophisticated tool for analysis and visualization,enabling students to improve their problem-solving and design skills, but more importantly toimprove their understanding of the behavior of engineering systems.”The importance of PLM in engineering education was discussed by Fielding et al. [15] and someinstructors have reported successful implementations of Product Data Management (PDM)systems to support collaboration within large teams in multi-CAD environments [16, 17]. In thispaper, we build on
experimental datato verify their hypothesis. Each student’s work is then arranged either in poster format or aconference proceeding, as if they were submitting their work to a conference. We believe thatthis experience educates all of our undergraduate engineering students in proper laboratory use,experimental design, and research methodologies.IntroductionUndergraduate education in engineering has traditionally prepared students to excel atengineering analysis and design, with a much lesser focus has been placed on experimentalmethods, especially scientific experimental methods. This engineering education hastraditionally been formulated by means of students taking courses in engineering science anddesign with supplemental laboratory experiences
Session 2209 Laboratory Courses Focused on Tissue Engineering Applications Ann Saterbak Department of Bioengineering, Rice University, Houston TX 77005AbstractTwo new laboratory courses focused on tissue engineering have been developed andimplemented in the undergraduate Bioengineering Department at Rice University. The contentof these courses is quite unique, yet fully supports the department’s emphasis on biomedicalengineering at the molecular, cellular, and tissue levels. This sequence of required laboratorycourses is designed to teach students mammalian tissue culture techniques, to
transfer phase and manufacturing related topics results in aknowledge gap among many engineering students in the areas of manufacturing operations, leanmanufacturing principles, and design for manufacturability.An understanding of manufacturing operations allows engineers to modify designs to ensure thatthe product can be produced at a reasonable cost. The ability to apply lean manufacturing anddesign for manufacturability principles can help speed assembly operations, avoid repetitivemotion injuries among production workers, and reduce waste and scrap, resulting in time andcost savings. Students need to understand that their role on a project team in industry will not
associated with providing fair and accurate assessment of individual studentperformance.This paper is based on our work over the past ten years.4 It begins with a brief discussion ofsome of the factors that influence capstone projects, an overview of the characteristics of ourprogram and then a process timeline for our capstone design course. The following sectionfocuses on three changes that were made in 2008-09 to improve understanding of studentassessment, namely; project level administration, separation of mentoring and assessment roles,and grading rubrics for engineering communication assignments. The concluding sectiondiscusses the consistency of assessment inputs in our current approach and summarizes lessons
presentations, which is just from the design that is pretty standard for us, soit's not ... I think most of the engineering has already been done in my group, so anytime we do asite that's standard, it's pretty easy to just take from the designs that we have built up, so thatmakes it easy. There is some engineering. There's definitely some times where I'll have to makeadjustments to something to fit the site, and that requires some calculations and some talking topeople. I think there's a lot of hands-on stuff that is still really new to me. A lot of basicunderstanding of things that I don't quite understand. So I understand how to use the tools, but Idon't always know what I'm supposed to use the tools on, if that makes sense.There’s a lot of
cases, engineers tend to fixate on one/few methods even if there are additional methodsavailable. This is most of the times related to avoiding time-consuming methodologies or thelack of time to learn other design tools. All these aspects produce a lack of understanding onselecting an appropriate method during the design process. It is true that sustainability methodsfollow principles and guidelines, but the principles and guidelines to apply sustainability towardsa product provide a “vague” description of methodologies raising the complexity of utilizing andsuccessfully applying them. This in part complicates the application of the sustainable designprinciples on a product. A very similar situation happens with the selection of idea
sense,made for each other; possibly for the purpose of communicating important truths? This idea goesa long way toward explaining the fine-tuning of the cosmos for life, and the success humanshave had in reverse engineering the cosmos.It is proposed that engineering design principles, along with “the engineering mindset”, can beprofitably applied to establish a coherent understanding of the fundamental nature of the cosmosand the place of humanity within it. This paper represents the start of an ambitious project whichnecessarily draws upon many fields of knowledge, but what better way to use the diverse andabundant resources of the university setting. An interdisciplinary course has been introduced toassist and encourage students to
introduced to a material selection strategy that focuses on understanding the function, objectives, constraints, and free variables (properties that can be changed) of a desired product. During their course project, students must consider the translation of customer desires into functional attributes for the purpose of selecting materials that will yield a valuable and sustainable final product. Based on functional attributes identified, students determine the properties that need to be limited or maximized within the selection process. Teams identify three materials within the assigned family of materials to perform an in-depth diagnostic material analysis using the CES EduPack by Granta. 22• Engineering Design IV
Paper ID #26291Board 31: Assessing the Impact of Embedding Nursing Students in Bio-engineering Senior Design Projects: Student Perceptions of InterprofessionalTeam Benefits and ChallengesDr. April A Dukes, University of Pittsburgh April Dukes (aprila@pitt.edu) is the Faculty and Future Faculty Program Director for the Engineering Educational Research Center (EERC) and the Institutional Co-leader for Pitt-CIRTL (Center for the Inte- gration of Research, Teaching, and Learning) at the University of Pittsburgh. April studied at Winthrop University, earning a BS degree in Chemistry and a BA degree in Psychology in 2000. She then
interdisciplinary collaborations is growing due to the increasing complexity and scale ofsystems-based engineering problems. As a result the future of engineering education must emphasizepreparing engineers who can deal with complexity, innovate on demand and bridge disciplinaryboundaries [6]. “Where disciplinary approaches to design are situated in specific bodies of knowledge,cross-disciplinary approaches focus on the nature of the problem, integrating several perspectives tosynthesize a collective whole.” [3]. Therefore the ability to exhibit interdisciplinary knowledge is vital tothe development of the modern engineer. In the context of this study, interdisciplinary knowledge willrefer to the common understanding among engineers which centers around
first year, a course in the second year focusing on measurement andfabrication, a course in the third year to frame technical problems in societal challenges, andculminates with our two-semester, client-driven fourth-year capstone design sequence.The impetus to create a design thread arose from preparation for an ABET visit where weidentified a need for more “systems thinking” within the curriculum. Here systems thinkingrefers to understanding abstraction and its relation to system decomposition and modularity;students having difficulty making engineering evaluations of systems based on data; andstudents’ difficulty transferring skills in testing, measurement, and evaluation from in-class labscenarios to more independent work on projects. We
Paper ID #12201Lawnmowers and Prospective Engineers: A Recruitment ExerciseCmdr. Linda E. Craugh PhD, United States Naval Academy CDR Craugh is a Permanent Military Professor in the Mechanical Engineering Department at the United States Naval Academy, a Surface Warfare Officer, and a registered Professional Engineer.Mr. Ethan E. Lust, U.S. Naval Academy LCDR Ethan E. Lust is a Junior Permanent Military Professor in the Mechanical Engineering Department at the U.S. Naval Academy. He is currently pursuing his PhD in ME from the University of Maryland, College Park. Since 2008 he has taught courses in engineering design and
, evaluation, and selection of design alternatives against multiple and perhaps conflicting requirements e.) analysis and verification of the design throughout the various stages of the process, leading to a product that is validated against design requirements2. Design systems in a team environment where multiple disciplines or ME specialty areas are used.3. Understand the ethical responsibilities associated with the mechanical engineering profession.4. Prepare formal written design documentation (e.g. memos and technical reports) and present effective oral presentations.5. Utilize a variety of sources in researching the field(s) and concepts appropriate to the design and benchmarking (e.g : US Patent and Trademark Office, vendor
simulation result.2.4 Performance Page 12.1539.8Performance was based on students’ understanding of the design process, measured using theircompletion of the “Design Summary” document for their design projects. Common errors were(1) students confusing “Requirements” with “Constraints”, and (2) students confusing“Requirements” with “Ranking Criteria”. Problem statements were generally entered correctly.The data was processed in terms of the number of errors in these documents. Table 4 presentsresults for 20 Civil/Environmental Engineering students and 20 Mechanical Engineeringstudents. For both groups of students, over half made at most one error, and
Paper ID #12026Assessing Graduate Attributes Within a Two-Semester Capstone Design CourseDr. Jacqueline Ann Stagner, University of Windsor Dr. Stagner is the Undergraduate Programs Coordinator in the Faculty of Engineering, at the University of Windsor.Dr. Jennifer L Johrendt, University of Windsor Dr. Johrendt is an Associate Professor in the Department of Mechanical, Automotive & Materials Engi- neering at the University of Windsor. She holds degrees in Mathematics and Engineering from Queen’s University in Kingston (B.Sc., M.A.Sc.) and Mechanical Engineering from the University of Windsor (Ph.D.). She began a
Paper ID #17427WORK IN PROGRESS: Design, Creativity, and Creativity Techniques: Find-ing, Encouraging, and Developing the ’Voice of the Designer’Dr. Allen R. White MRSC, Rose-Hulman Institute of Technology Allen White is an Associate Professor of Mechanical Engineering and Chemistry at Rose-Hulman Institute of Technology, an Adjunct Professor of Chemistry at Indiana University, Bloomington, and a sixth level wizard.Dr. Glen A. Livesay, Rose-Hulman Institute of Technology Glen Livesay is a Professor of Biology and Biomedical Engineering; he co-developed and co-teaches the biomedical engineering capstone design sequence at
AC 2007-465: EVERYDAY PROJECT MANAGEMENT PRODUCTS ARCHIVEDAS E-PORTFOLIO: EVIDENCE OF SOCIAL LEARNING IN AN ENGINEERINGDESIGN CURRICULUMCharles Pezeshki, Washington State University Chuck Pezeshki is a professor at Washington State University in the School of Mechanical and Materials Engineering, and is the DIrector of the Industrial Design Clinic.Kelley Racicot, Washington State University Kelley Racicot is a graduate student in the Department of Teaching and Learning at Washington State University. She is employed at the Center for Teaching, Learning, and Technology at WSU. Page 12.702.1© American
Mohammed, The Petroleum Institute Jaby Mohammed is a faculty at The Petroleum Institute, Abu Dhabi, UAE. He received his PhD in Indus- trial Engineering from University of Louisville (2006), masters in Industrial Engineering from University of Louisville (2003) and also a master’s in business administration from Indira Gandhi National Open Uni- versity (2001). His research interests include advanced manufacturing, design methodologies, six sigma, lean manufacturing, and engineering education. He previously taught at Indiana Purdue Fort Wayne, IN and at Morehead State University, KY. He is a member of IIE, SME, ASQ, ASEE, and Informs
appropriateness of the capstone experience. Moreover, the consistency ofthe gaps identified by industry and professional organizations points to the need for more workin this area, particularly around students’ transitions between environments. Some key work isbeginning to emerge that helps us better understand the relationships between school and workexperiences. For example, Lauff et al. have identified significant differences in design practicesbetween industry and capstone classrooms [12, 13]. Others have explored the experiences ofnew engineers more broadly, particularly through the Academic Pathways Study (APS) andsubsequent Engineering Pathways Study (EPS). Work from these studies has included Korte’s[14] exploration of the importance of peers and
students. The current ABET outcomes that have been established are provided inTable 1. In the capstone design course sequence, all outcomes should be addressed through anappropriate design experience, as accomplished throughout the UND/Imation projects. Table 1. ABET outcomes1 A An ability to apply knowledge of mathematics, science, and engineering B An ability to design and conduct experiments, as well as to analyze and interpret data C An ability to design a system, component, or process to meet desired goals D An ability to function on multi-disciplinary teams E An ability to identify, formulate, and solve engineering problems F An understanding of