AC 2009-158: TEACHING COURSES ON PROBABILITY AND STATISTICS FORENGINEERS: CLASSICAL TOPICS IN THE MODERN TECHNOLOGICAL ERANatarajan Gautam, Texas A&M University Dr. Gautam is an Associate Professor in the Department of Industrial and Systems Engineering at Texas A&M University since Fall 2005. Prior to that he was on the faculty at the Department of Industrial and Manufacturing Engineering at Penn State University for eight years. He teaches courses in applied probability and stochastic processes. Dr. Gautam has taught eight different courses in each of the universities he has worked in and has won several teaching awards. His research is in design, control and performance evaluation
AC 2009-220: A QRW PARADIGM FOR INDUSTRIAL ENGINEERINGCURRICULAMarlin Thomas, Air Force Institute of Technology MARLIN U. THOMAS is Dean, Graduate School of Engineering and Management, Air Force Institute of Technology, past Professor and past Head of the School of Industrial Engineering at Purdue University. He received his BSE at the University of Michigan-Dearborn, and MSE and PhD at the University of Michigan. He has held other academic appointments at Lehigh University, Cleveland State University, University of Missouri-Columbia, University of Wisconsin-Milwaukee, and the Naval Postgraduate School. He has also served as a Program Director for the National Science Foundation; Manager
Psychology from University of Missouri-Columbia and is currently working toward her Master’s degree in Research Psychology at East Carolina University. Page 14.624.1© American Society for Engineering Education, 2009 Factors Influencing High School Students Career Considerations in STEM FieldsAbstractWhile sporadic gains have been made in recent years in attracting minority and female studentsto STEM (science, technology, engineering and math) fields, there yet remains a significantunderrepresentation of females and minorities who pursue academic degrees in these areas. Thisstudy assessed
AC 2009-938: CONVERTING FACE-TO-FACE CLASSES TO WEB-BASEDON-LINE COLLEGE CLASSESHarry Petersen, Minnesota State University, Mankato Dr. Harry Petersen is an associate professor in the Department of Automotive and Manufacturing Engineering Technology at Minnesota State University, Mankato. He has a BA in Physics and an MS in Chemistry Education from Bemidji State University in Minnesota, an MS in Railroad Civil Engineering from the University of Illinois, and a PhD in Industrial Engineering from Texas A & M University. A former high school science teacher, he also worked for ten years in manufacturing and railroad industries. Dr. Petersen has taught industrial and manufacturing
AC 2009-1166: DEVELOPMENT OF A HEALTH-SYSTEMS CURRICULUM ININDUSTRIAL AND SYSTEMS ENGINEERINGShengyong Wang, State University of New York, Binghamton Dr. Shengyong Wang is a Research Assistant Professor in the Department of Systems Science & Industrial Engineering at the State University of New York at Binghamton. He received his Ph.D. in Industrial Engineering from Purdue University in 2006, his M.S. in Innovation in Manufacturing System and Technology from Singapore Massachusetts Institute of Technology Alliance in 2001, and his B.S. in Mechanical Engineering from Beijing University of Aeronautics and Astronautics, China, in 2000. Dr. Wang’s research is focused on applying Industrial and
. J., Groh, S. E., & Allen, D. E. (2001). The power of problem-based learning. Sterling: Stylus Publishing, LLC.7. Felder, R. M., Felder, G. N., Mauney, M., Hamrin, J. C. E., & Dietz, E. J. (1995). A longitudinal study of engineering student performance and retention. III. Gender differences in student performance and attitudes. Journal of Engineering Education, 84, 23.8. Fiore, S. M., & Salas, E. (2007). Toward a science of distributed learning (1 ed.). Washington D.C.: American Psychological Association.9. Hayes, R., Pisano, G., Upton, D., & Wheelwright, S. (2005). Operations, strategy, and technology: pursuing the competitive edge. Hoboken, NJ: Wiley.10. Herron, C
AC 2009-1333: APPLYING THE SIX SIGMA PROCESS WHEN CREATING AMODULAR SIX SIGMA GREEN BELT PROGRAMAndrew Jackson, East Carolina UniversitySherion Jackson, East Carolina UniversityMerwan Mehta, East Carolina University Page 14.229.1© American Society for Engineering Education, 2009 Applying the Six Sigma Process when Creating a Modular Six Sigma Green Belt ProgramAbstractBusiness demand for Six Sigma educational programs has been on the rise the past several yearsand it appears that this trend will continue. In response to this demand from both industrial andacademic customers, the Department of Technology Systems at East Carolina University
AC 2009-5: A UNIVERSITY'S APPROACH TO TEACHING A FRESHMAN-LEVELINTRODUCTORY COURSE IN INDUSTRIAL ENGINEERINGMatthew Elam, Texas A&M University, Commerce Matthew E. Elam, Ph.D., is an Associate Professor of Industrial Engineering in the Department of Industrial Engineering and Technology at Texas A&M University-Commerce. He has taught courses, authored publications, performed funded research, and consulted with industry in several statistics related areas, engineering education, mathematics, and other subject areas. He has presented his research and served as session chairs at conferences. He has served as a reviewer for several journals and conference proceedings, and on the editorial board
explore how changes in global manufacturing should be reflected in changes tothe PEOs. They note: “This situation highlights the critical importance for programs inmanufacturing not to just react to the needs of current employers but to consider the new roles,challenges and opportunities that technical and business changes will create for graduatingmanufacturing engineers.” Also, “we need to be sure that our continuous improvement processcontinues to look for shifts in technology and business processes that can impact our students. Ifwe sit back and wait for external constituents to tell us what is required it will typically be toolate for us to react and change to meet the challenge. As engineers we are comfortable withreacting to changes in
• Masters degree program started in 1997 • Interdisciplinary course • Financial Theory University of • Mathematics Michigan5 • Computer Technology • Operations research and financial engineering department (ORFE) • Interdisciplinary association • Statistics and Operations Research • Applied and Computational Mathematics Princeton University6 • Bendheim Center for Finance • Masters of science in finance • Department of
Electrospace Systems, E-Systems, Raytheon Systems and Stephen Meyers & Associates. He is a member of ASEE, Institute of Industrial Engineers and senior member of Institute of Electrical and Electronics Engineers.Matthew Elam, Texas A&M University, Commerce MATTHEW E. ELAM, Ph.D., Dr. Elam is an Associate Professor of Industrial Engineering in the Department of Industrial Engineering and Technology at Texas A&M University-Commerce. He has taught courses, authored publications, performed funded research, and consulted with industry in several statistics related areas, engineering education, mathematics, and other subject areas. He has presented his research and served as session
testing twodifferent groups of students (activity and no activity). The results of these measures would helpdetermine if the activities improved student learning as expected.Bibliography1. Croal, N., & Kashiwagi, A. (2006, May 29). Playing with gaming: Nintendo’s recently unveiled Wii gaming console could cap off a remarkable comeback. Newsweek, archived at http://www.newsweek.com/id/47942.2. Gadgets. (2006, November). Engineering and Technology, 1(8), 46-47.3. Snider, M. (2006, May 10). Video-game makers unveil the fun to come. USA Today, 5D.4. Voth, D. (2007). Evolutions in gaming. Pervasive Computing, IEEE, 6(2), 7-10.5. Felder, R. M. (1996). Matters of style. ASEE Prism, 6(4), 18-23.6. Felder, R. M., & Brent, R. (2005
haveexercises designed around individual concepts. “This instructional method, while somewhatattributable to the usual trend to compartmentalize course material into homogeneous blocks, ismore often due to an attempt to model traditional manufacturing organizations in which theproduct design function, manufacturing engineering, and production planning are separatecorporate entities”4.This paper reports on the use of simulation to enhance learning in a production systems course atWichita State University. Production systems have become more complex due to technology aswell as capital investment and the increase in the number and variety of products manufactured5.The factory is a complex system and most students have difficulty understanding