Displaying all 9 results
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- EM Program Design
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- 2011 ASEE Annual Conference & Exposition
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- Mary A. Viola, School of Engineering, Tufts University
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- Engineering Management
‘data’ from various assessmentinstruments, including Myers-Briggs, Fundamental Interpersonal Relations Orientation-Behavior(FIRO-B), and 360-degree feedback. These assessments enable students to better understandtheir own tendencies and their impact on others. This is quite different from a more traditionalapproach involving the identification and discussion of core values2. This approach is deliberateand provides students with practical tools and concepts that they can quickly use to increase theireffectiveness in both their class projects as well as their professional work. These early positiveoutcomes reinforce the value of the leadership training and also motivate students who areinitially doubtful of the value.In our view, teaching and
- Conference Session
- Tools of the Trade
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- 2011 ASEE Annual Conference & Exposition
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- Craig G. Downing, Rose-Hulman Institute of Technology
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- Engineering Management
; Williams, B. (2005). Six Sigma for Dummies. Hoboken, NJ: Wiley Publishing, Inc.2. Cloutier, M., Richards, J. (1994). Examining customer satisfaction in a big school. Quality Progress (September), 117-19.3. Mazur, G. H. “The Application of Quality Function Deployment (QFD) to Design a Course in Total Quality Management (TQM) at The University of Michigan College of Engineering”, Proceedings of International Conference on Quality-1996 Yokohama, JUSE, October 15-18, 1996, pp.1-7.4. Wang Q, "Program Design for Industrial Engineering Education in China Based on QFD," vol. 3, pp.333-336, 2010 Second International Workshop on Education Technology and Computer Science.5. El-Haik, B., & Al-Aomar, R. (2006). Simulation-Based Lean Six-Sigma
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- Tools of the Trade
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- 2011 ASEE Annual Conference & Exposition
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- Valeria Quevedo, Universidad de Piura; Susana Vegas, Universidad de Piura; Reynaldo Villar, Universidad de Piura
- Tagged Divisions
- Engineering Management
-614.5. Imbens G. & Lemieux T. (2008). “Regression discontinuity designs: A guide to practice,” Journal of Econometrics, 142 (2008) 615-6356. Jacob B & Lefgren L. (2004). “Remedial education and student achievement: A regression-Discontinuity Analysis,” The Review of Economics and Statistics, Feb., 86(1): 226-244.7. Lalive R (2008). “How do extended benefits affect unemployment duration? A regression discontinuity approach,” Journal of Econometrics, 142, 785-806.8. Lemieux T. & Milligan K. (2007). “Incentive effects of social assistance: A regression discontinuity approach” Journal of Econometrics, Volume 142, Issue 2, Feb., 807-828.9. Matsudaira J (2008). “Mandatory summer school and student achievement
- Conference Session
- Frontiers in EM Education
- Collection
- 2011 ASEE Annual Conference & Exposition
- Authors
- Stephen A. Raper, Missouri University of Science & Technology
- Tagged Divisions
- Engineering Management
AC 2011-625: MISSOURI S&T ENGINEERING MANAGEMENT CAP-STONE SENIOR DESIGN: LESSONS LEARNED AND CHALLENGES TOCOMEStephen A. Raper, Missouri University of Science & Technology Stephen A. Raper, received the B.S., (1985) M.S., (1987) and Ph.D. (1989) degrees in Engineering Man- agement from the University of Missouri-Rolla. Stephen graduated from Republic high school in 1978 and enlisted in the United States Air Force, serving 4 years and also began his higher education pursuits on a part-time basis. During his transfer enrollment visit to UMR, he met Professor Bernie Sarchet and quickly knew that he wanted to study Engineering Management. His experiences outside of the university and the military include an
- Conference Session
- Frontiers in EM Education
- Collection
- 2011 ASEE Annual Conference & Exposition
- Authors
- Ertunga C. Ozelkan, University of North Carolina, Charlotte; Agnes Galambosi, University of North Carolina, Charlotte
- Tagged Divisions
- Engineering Management
AC 2011-2554: PERCEPTION AND PREFERENCES OF FACULTY FORONLINE LEARNINGErtunga C Ozelkan, University of North Carolina, Charlotte Ertunga C. Ozelkan, Ph.D., is an Associate Professor of Engineering Management and the Associate Director of the Center for Lean Logistics and Engineered Systems at the University of North Carolina at Charlotte. Before joining academia, Dr. Ozelkan worked for i2 Technologies, a leading supply chain software vendor and for Tefen USA, a systems design and industrial engineering consulting firm. Dr. Ozelkan holds a Ph.D. degree in Systems and Industrial Engineering from the University of Arizona. He teaches courses on supply chain management, lean systems, decision analysis, and systems
- Conference Session
- EM Program Design
- Collection
- 2011 ASEE Annual Conference & Exposition
- Authors
- Kathryn D. Abel, Stevens Institute of Technology; Anirban Ganguly, Stevens Institute of Technology
- Tagged Divisions
- Engineering Management
that shoould be incluuded in Research R h quuality/processs managemeent course taaught as a paart of graduaate EM S Stages cuurriculum • (B B) Prioritizinng the identiffied topics too assess theirr relative criiticality Research R h • A list of idenntified and prrioritized sett of topics thhat might aid d the E program EM m directors annd course deevelopers to designd and F Findings
- Conference Session
- Tools of the Trade
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- 2011 ASEE Annual Conference & Exposition
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- Douglas H. Timmer, University of Texas, Pan American; Miguel Gonzalez, University of Texas, Pan American; Connie M. Borror, Arizona State University, West
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reflective of the UTPA student demographics. Thirteen of the 15 studentsidentified themselves as Hispanic and two students identified themselves in the Other category.One of the students who selected the other category specified Latino. Thus 14 out of 15 or 93%of the students were Hispanic. Male students comprised 60% of the course. Two-thirds of thestudents reported a family income of $60,000 or less. An interesting statistic is that only 6.7% ofthe students responding had English as a first language.Table 2 contains the evaluation of student performance for the first DOE laboratory. Studentperformance was classified as either exceptional, effective, acceptable or unsatisfactory. Theselevels of performance correspond to approximately A-level, B
- Conference Session
- EM Program Design
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- 2011 ASEE Annual Conference & Exposition
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- Amy K. Zander P.E., Clarkson University
- Tagged Divisions
- Engineering Management
) Page 22.599.6through (k) Student Outcomes. ABET (a) through (k) are given here (ABET Criteria, 2010): Engineering programs must demonstrate that their students attain the following outcomes: (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 needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability (d) an ability to function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering
- Conference Session
- EM Program Design
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- 2011 ASEE Annual Conference & Exposition
- Authors
- Amy Hsiao, Memorial University of Newfoundland
- Tagged Divisions
- Engineering Management
is a course-based graduate program that can be completed on a fullor part-time basis and draws on the expertise of both the Faculty of Engineering and AppliedScience and the Faculty of Business Administration. The completion of twelve courses results ina Master of Engineering Management, or MEM, degree. The program consists of five coursesoffered by the Faculty of Engineering and Applied Science, five courses offered by the Facultyof Business Administration, and a two-course project. These courses are shown in Table 1.To be eligible for the program, applicants must have a Bachelor of Engineering or Bachelor ofScience degree in an engineering discipline from a university of recognized standing, with acumulative B-average. The three