Robotics and Automated Manufacturing (IRAM) Laboratory, the studentsget a chance to experience the actual integration and utilization of mid-sized industrial robots andautomated equipment that is used to manufacture customized parts. Overall, the newly updatedand improved IRAM laboratory enhances student learning at the university and helps to improveSTEM education within the curriculum in the IE department, as well as, help to meet theNational Robotics Initiative previously mentioned.Other researchers at various universities are using robotics education in undergraduatecurriculums as well. Touretzky discusses how various computer science (CS) departmentsaround the country utilize robots to help teach and promote computer programming7. AtCarnegie
AC 2012-4441: TEACHING CREATIVE THINKING USING PROBLEM-BASED LEARNINGProf. Ralph Ocon, Purdue University, Calumet Page 25.1245.1 c American Society for Engineering Education, 2012 Teaching Creative Thinking Using Problem-Based LearningAbstractAs global competition and technological innovation continue to challenge businessorganizations, the ability to solve diverse and complex problems has become essential forstudents in every academic discipline. While pursuing their careers, technology andengineering students will soon realize that the development of creative problem solvingskills is fundamental for success in today’s
tower,is now an integral piece of laboratory equipment to be used in future courses. Students weretherefore exposed to systems engineering concepts and the program acquired a low-cost piece oflaboratory equipment: a positive outcome for students, teaching faculty and the program.IntroductionThe University of Colorado Boulder (CU-Boulder) and Colorado Mesa University (CMU),formerly Mesa State College, entered into a partnership in February 2008 to deliver a mechanicalengineering (ME) program in its entirety in Grand Junction, Colorado, the home of CMU. Thefirst cohort of students will graduate in the spring of 2012.The CU-Boulder/CMU ME Partnership Program enables students to earn a Bachelor of Sciencein Mechanical Engineering (BSME) degree
AC 2012-3811: TEACHING CONTROL CHARTS FOR ATTRIBUTES US-ING THE MOUSE FACTORYDr. Douglas H. Timmer, University of Texas, Pan American Douglas Timmer is a professor in manufacturing engineering and the Interim Associate Dean of the Col- lege of Engineering and Computer Science at the University of Texas, Pan American.Dr. Miguel Gonzalez, University of Texas, Pan American Miguel A. Gonzalez serves as the Interim Vice Provost for Research and Sponsored Projects at the Uni- versity of Texas, Pan American. He has a significant amount of executive industry experience where he held managerial and executive positions including President and CEO of a large citrus processor, and throughout his experience, Gonzalez
AC 2012-3945: DEVELOPMENT OF A VIRTUAL TEACHING ASSISTANTSYSTEM APPLYING AGILE METHODOLOGYDr. Pablo Biswas, Texas A&M International UniversityDr. Runchang Lin, Texas A&M International University Runchang Lin received a Ph.D. in mathematics and a M.A. in statistics from Wayne State University, De- troit, Mich., and a M.S. in computational mathematics and a B.S. in mathematics from Tongji University, Shanghai, China. He is an Associate Professor of mathematics at Texas A&M International University, Laredo, Texas, and has been a Visiting Assistant Professor at Purdue University, West Lafayette, Ind., in spring 2009. Lin’s research interest is in numerical analysis and applied mathematics. He has published
possible that with proper, routine, maintenance, suchequipment may be adequate in a laboratory setting to teach machining processes. Therefore, anydecision to adopt bench-top lathes will need to be carefully weighed against the additionalmaintenance that might be required when using these lathes.Modifications to the CurriculumIndustry and faculty were asked whether they would be open to changing the curriculum taughtin traditional programs to accommodate the smaller sizes of bench-top metal lathes. The majorityof individuals surveyed (90.6% of those from industry and 73% of faculty) believe coursecontent can be adjusted to accommodate the smaller material sizes that are necessary when usingbench-top lathes without presenting adversely affecting
AC 2012-4293: INCORPORATING AND ASSESSING RISK ANALYSIS INUNDERGRADUATE ENGINEERING ECONOMY COURSESDr. Joseph C. Hartman, University of Florida Joseph C. Hartman is professor and Chair of Industrial and Systems Engineering. He received his B.S. in general engineering from Illinois and M.S. and Ph.D. in industrial and systems engineering from Geor- gia Tech. His teaching and research interests are in economic decision analysis and applied operations research. He is currently Editor of the Engineering Economist and is author of the textbook Engineering Economy and the Decision-Making Process. Page 25.758.1
AC 2012-5561: ASSESSMENT OF DISCOVERY APPROACHDr. Mysore Narayanan, Miami University 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 ency- clopedias 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 is a Senior Member of IEEE and is a member
various disciplines.These techniques encourage students to stay interested and engaged in the courses. Just like anyother engineering discipline, such techniques are often necessary in systems engineering classes.In this paper, we explore various student centered, active learning, and teaching techniques invarious disciplines and investigate their feasibility for implementation in systems engineering.Key Words: Active Learning, Student Centered, Teaching TechniquesIntroductionIn this research, the author explores a few key student centered active learning techniques thatare applicable in core systems engineering classes at the undergraduate level. Some of thesetechniques are also applicable in graduate classes. Currently there are few
programs. He has been ME evaluator for ABET over the last 12 years.Dr. Karinna M. Vernaza, Gannon University Karinna Vernaza joined Gannon University in 2003, and she is currently an Associate Professor in the Mechanical Engineering Department. She earned her Ph.D. and M.S. in mechanical engineering from the University of Notre Dame. Her B.S. is in Marine Systems Engineering from the U.S. Merchant Ma- rine Academy. Her primary teaching responsibilities are in the solid mechanics and materials areas. She was awarded the 2012 ASEE NCS Outstanding Teacher Award. Vernaza consults for GE Transporta- tion and does research in the area of alternative fuels (biodiesel), engineering education (active learning techniques
AC 2012-4343: SYSTEMS ENGINEERING EDUCATION THROUGH PAR-TICIPATION IN ENGINEERING COMPETITIONSDr. Fernando Garcia Gonzalez, Texas A&M International University Fernando Gonzalez is an Assistant Professor of engineering at Texas A&M International University in Laredo, Texas. Previously, he was a technical staff member at Los Alamos National Laboratory and an Assistant Professor at the University of Central Florida in Orlando, Fla. Gonzalez holds a Ph.D. in electrical engineering from the University of Illinois, Urbana-Champaign. His research interests include intelligent control of autonomous systems, robotics, and modeling and simulation
AC 2012-4088: INTEGRATING INNOVATIVE PEDAGOGIES INTO EN-GINEERING ECONOMICS COURSESDr. Naveen Seth, New Community College at CUNY Naveen Seth is a founding faculty member in business at the City University of New York’s New Commu- nity College. He has also taught at Pratt Institute in the Construction Management Program. At Vaughn College of Aeronautics and Technology, he headed the Aviation Management programs and also taught engineering economics in the B.S. program in engineering.Prof. Donald P. O’Keefe, Farmingdale State College Donald P. O’Keefe has 15 years experience teaching at the college level. He taught courses in engineering graphics, quality control, and project management
AC 2012-4003: REDESIGNING A LEAN SIMULATION GAME FOR MOREFLEXIBILITY AND HIGHER EFFICIENCYDr. Hung-da Wan, University of Texas, San Antonio Hung-da Wan is an Assistant Professor of the Mechanical Engineering Department and the Director of the Sustainable Manufacturing Systems Lab at the University of Texas, San Antonio (UTSA). He teaches Six Sigma and lean methodologies, computer integrated manufacturing systems, and manufacturing systems engineering. He is among the core faculty of the Center for Advanced Manufacturing and Lean Systems at UTSA and has been offering short courses to the industry. His research interests include sustainability of manufacturing systems and web-based applications in manufacturing.Miss
, “Developing a Systems Approach to Engineering Problem Solvingand Design of Experiments in a Racecar-Based Laboratory Course,” Journal of EngineeringEducation, January 2011, pp. 109-112.7 Dym, C.L., “Design, Systems, and Engineering Education,” International Journal ofEngineering Education, Vol. 20, No. 3, pp. 305-312, 2004.8 “The Engineer of 2020: Visions of Engineering in the New Century”, The National AcademiesPress, USA, 2004. Available: http://books.nap.edu/openbook.php?record_id=10999&page=389 Prince, M.J. and R.M. Felder, “Inductive Teaching and Learning Methods: Definitions,Comparisons, and Research Bases,” Journal of Engineering Education, April 2006, pp. 123-138.10 Mills, J.E., and Treagust, D.F., “Engineering Education—Is Problem
-year engineering educa- tional environment through the use of collaborative learning, problem-based and project-based learning, classroom interaction, and multiple representations of concepts.Dr. Scott Sink, Ohio State University Scott Sink, Ph.D., P.E., teaches in industrial and systems engineering from the Ohio State University. He is Director, LeanSigma Certification, College of Engineering, Integrated Systems Engineering, the Ohio State University. He was VP, Business Process Improvement and Reengineering, at MDS and ESI, Toronto, 1997-2007, and [rofessor, ISE, and Director, the Virginia Quality and Productivity Center, Vir- ginia Tech, 1984-1997. He was also Associate Professor, IEM, and Director, Oklahoma
the the Systems Development and Maturity Laboratory (http://www.SysDML.com/), which seeks to advance the state of knowledge and practice in how we manage system lifecycles. He teaches courses in Project Manage- ment of Complex Systems, Designing and Managing the Development Enterprise, Advances in System of Systems Engineering, and Systems Thinking. In addition, he is a National Aeronautics and Space Ad- ministration Faculty Fellow, Editor-in-Chief of the Systems Research Forum, and Associate Editor of the IEEE Systems Journal.Dr. Brian Emery White, Complexity Are Us - Systems Engineering Strategies Brian E. White received Ph.D. and M.S. degrees in computer sciences from the University of Wisconsin, and S.M
AC 2012-4481: EDUCATION APPROACH IN JAPAN FOR MANAGEMENTAND ENGINEERING OF SYSTEMSProf. David S. Cochran, Southern Methodist University and Meijo University David Cochran is a professor of industrial and systems engineering management. He is Founder and Prin- cipal of System Design, LLC, Visiting Professor with the School of Business, Meijo University, Nagoya, Japan and faculty of systems engineering, Southern Methodist University, Dallas, Texas. Cochran devel- oped the Manufacturing System Design Decomposition (MSDD) to determine the underlying design of the Toyota Production System (and ”lean”) from a systems engineering viewpoint and was Founder and Director of the Production System Design Laboratory in the
Paradigmlaboratory exercises. Let’s examine each of these further.The Plug & Chug ParadigmThe Plug & Chug Paradigm represents an instructional teaching model for engineering students.Solutions to the classical boundary condition engineering problems require students to considerinputs, initial states and dynamic boundary conditions, constraints, and assumptions to arrive atsolution / results.The Educational Design-Build-Test-Fix ParadigmThe educational Design-Build-Test-Fix Paradigm has origins in scientific inquiry methods and isoften acquired informally and experientially through laboratory exercises. The paradigm evolvesfrom students having a requirement to design a widget, verify, and validate the design solution. Ifthe test fails, they enter an