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- Starting the Last Day with New Ideas
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- 2009 Annual Conference & Exposition
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Natarajan Gautam, Texas A&M University
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Industrial Engineering
chalk-and-talk type of class by carefully usingtechnology in strategic places and avoiding technology in certain other places. We quantitativelyevaluate the effectiveness of our strategies and provide insights. Next, a good portion of thispaper is devoted to one specific use of technology which is in laboratory-like exercises. Theseexercises were developed to teach more difficult concepts such as Central Limit Theorem andshow how it applies to project evaluation and review technique (PERT). As a result, not only didthe student understanding of complex material improve, but also the material was covered in amuch shorter time. Finally the paper concludes with a qualitative discussion of issues where it isunclear whether technology boosts or
- Conference Session
- Best Practices in IE Education
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- 2009 Annual Conference & Exposition
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Matthew Elam, Texas A&M University, Commerce; E. Delbert Horton, Texas A&M University, Commerce; Sukwon Kim, Texas A&M University, Commerce; Bob Wilkins, Texas A&M University, Commerce
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Industrial Engineering
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
- Conference Session
- Concluding Thoughts in Engineering Education
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- 2009 Annual Conference & Exposition
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Harry Petersen, Minnesota State University, Mankato; William Peterson, Minnesota State University, Mankato
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Industrial Engineering
time he earned an MBA and managed engineering, manufacturing, and plants in a wide variety of industries. He has spent the last 16 teaching industrial and manufacturing engineering, engineering management, and the management of technology. He is current program chair of the IE Division of ASEE and a director in two other divisions. He is past president of SEMS and ASEM. Page 14.369.1© American Society for Engineering Education, 2009 Converting Face-to-Face Classes to Web-Based On-Line College ClassesAbstractDue to the increasing interest in web-based
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- Starting the Last Day with New Ideas
- Collection
- 2009 Annual Conference & Exposition
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Nagen Nagarur, State University of New York, Binghamton; Krishnaswami Srihari, State University of New York, Binghamton; Sarah Lam, State University of New York, Binghamton
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Industrial Engineering
, he was at the Asian Institute of Technology, Thailand. Dr. Nagarur had been a visiting professor at Kansas State University, University of Technology at Eindhoven, the Netherlands, Thammasat University, Bangkok, and Bangkok University. Dr. Nagarur’s areas of research interest are operations management of supply chains, option pricing and risk assessment of financial systems, and clustering techniques for cell formations. His teaching interests include supply chains, stochastic processes, and financial engineering.Krishnaswami Srihari, State University of New York, Binghamton Distinguished Professor Srihari is currently the Chairman of the Department of Systems Science and
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- Issues and Opportunities in IE Education
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- 2009 Annual Conference & Exposition
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J. Eric Bickel, University of Texas, Austin
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Industrial Engineering
AC 2009-2249: EXPERIENTIAL LEARNING AND STRICTLY PROPER SCORINGRULESJ. Eric Bickel, University of Texas, Austin Page 14.607.1© American Society for Engineering Education, 2009 Experiential Learning and Strictly Proper Scoring RulesAbstractExperiential learning is perhaps the most effective way to teach. One example is the scoringprocedure used for exams in some decision analysis programs. Under this grading scheme,students take a multiple-choice exam, but rather than simply marking which answer they think iscorrect, they must assign a probability to each possible answer. The exam is then scored with aspecial scoring rule, under which students’ best strategy is to