, engineering economy, discretemathematics, and probability and statistics. Using the brief description that Industrial Engineersimprove processes, students were taught to think of equations as models for processes. Theindependent variable(s) is (are) the input(s) to the process and the dependent variable(s) is (are)the output(s) from the process.Systems of linear equations, matrices, and truth tables from discrete mathematics were taught tohelp prepare students for the computer programming courses and the linear algebra course taughtby the Mathematics department. Both of these courses were prerequisites for the first operationsresearch course taught in the Industrial Engineering degree program. It was emphasized thatlinear programming was mathematical
of the internet and supporting programs, many institutions of higher learning areexamining the possibility of offering at least some classes over the internet. Whilecorrespondence courses by mail have been offered for many decades, the immediate responseand information bandwidth of the internet offer the possibility of real-time remote interaction,electronic homework and exams, and instant streaming video and audio not available by mail.With proper support, web-based instruction computer programs such as Desire2Learn (D2L) 1, acommercial classroom management system (similar to Blackboard, etc.), allows remote studentsto password-access materials on their own schedule while requiring online discussions atspecified times, at the instructor‟s
, T(r | p) T(p | p) for all r p andT(r* | p) T(p | p) when r* = p. [1-4] Many strictly proper scoring rules have been developed.Three of the most popular are given below.Quadratic (Q): Qi (r ) 2 ri r r [1,1] (2)Spherical (S): Si (r) ri / (r r)1/2 [0,1] (3)Logarithmic (L): L i (r ) ln( ri ) ( ,0] (4)The range of possible scores differs considerably. For example, logarithmic scoring holds thepossibility of an infinitely negative score. While this may seem like a defect, we will argue thatthis feature is a benefit of log scoring. Any linear
, their workersare forced to adopt complex understanding and problem solving skills in technical areas.However, research pertaining to worker preparedness indicates that colleges and universities arenot adequately preparing graduates for this new work environment (Wieman, 2008)24.Manufacturing has become a field where global view and technical savvy are desirous qualitiesfor all persons involved. Since the 1980’s, manufacturing has undergone significant changes inoperational costs and product quality. The lean mangers of the 20th century are now retiring andthere are not enough new lean experts to lead US manufacturing into the next 20 years (Linford,2007)13.BackgroundResearch surrounding instructional design models has found that effective
traditionally taught students. Journal of Engineering Education, 87(4), 469- 480.11. Prince, M. J., & R. M. Felder. (2006). Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of Engineering Education, 95(2), 123-138.12. Smith, K. A., Sheppard, S. D., Johnson, D. W., & Johnson, R. T. (2005). Pedagogies of engagement: Page 14.1334.8 Classroom-based practices. Journal of Engineering Education, 94(1), 87-101.
Manufacturing Engineering Department at Wichita State University. She teaches graduate and undergraduate courses in modeling and simulation, neural networks, sustainability, and probability and statistics. Dr. Twomey’s current research is in sustainable systems.Barbara Chaparro, Wichita State University Barbara S. Chaparro has a Ph.D. in Experimental Psychology from Texas Tech University and a B.S. in Psychology from University of Richmond, VA. She is an Assistant Professor in the Department of Psychology and director of the Software Usability Research Lab at Wichita State University. Her research interests include human-computer interaction, usability evaluation methods, and onscreen
sigma: Statistical quality control and design ofexperiments and systems. Springer-Verlag, London.[2] Creveling, C. M., Slutsky, J. L., & Antis, D. (2003). Design for six sigma in technology and product development.Prentice Hall PTR, Upper Saddle, NJ.[3] Gryna, F. M. (2001). Quality planning & analysis (4th Edition). McGraw-Hill Irwin, Boston, MA.[4] Gryna, F. M., Chua, R. C. H., & Defeo, J.A. (2007). Juran’s quality planning and analysis for enterprise quality.McGraw-Hill, Boston, MA.[5] Summers, D. C. S. (2006). Quality (4th Edition). Pearson Prentice-Hall, Upper Saddle River, NJ.[6] The Six Sigma Green Belt Primer. (April 3, 2006). Quality Council of Indiana. West Terre Haute, IN
Resources Statistics, Women, Minorities, and Persons with Disabilities in Science and Engineering: 2007, NSF 07-315 (Arlington, VA: February 2007). Available from http://www.nsf.gov/statistics/wmpd5. Clewell, B (1996).Access to Mathematics and Science Careers For Underrepresented Minority Students: Research Findings and Explorations . A Report from the National Science Foundation Minority Postdoctoral Research Fellows and Mentors Annual Meeting.6. Adya, M., & Kaiser, K. M. (2005). Early determinants of women in the IT workforce: a model of girls' career choices. Information Technology & People. 18, 230-259.7. Miller, P. H., Blessing, J. S., & Schwartz, S (2006). Gender Differences in High-school
knowledge into the domain of healthsystems.A careful review of the current ISE curriculum reveals the following facts: (i) ISE knowledge isbuilt in large on manufacturing systems, (ii) the majority of examples in textbooks are based onmanufacturing systems, (iii) very few universities have health systems concentration in their ISEprograms, and (iv) there is no good textbook(s) generalizing ISE tools in health systems. Whilemany researchers and practitioners have been successfully applying ISE tools to modeling andoptimizing health systems, there is a gap between the healthcare industry needs and academiccourse settings. For examples, although lean and six-sigma have been widely adopted andimplemented in the healthcare settings to reduce wastes and
Conference & Exposition. 5. Mayes, Terry S., and John K. Bennet. “ABET Best Practices: Results from Interviews with 27 Peer Institutions.” Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition. 6. Petersen, Owe, Stephen Williams, and Eric Durant. “Understanding ABET Objectives and Outcomes.” Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition. 7. Younis, Nashwan. “Establishing and Assessing Educational Objectives for Engineering Programs.” Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition
million dollars in external funding every year. Dr. Srihari has published over 325 technical papers in leading peer-reviewed journals and at conferences, and authored over 950 technical reports. He has directed and graduated over 175 graduate students, both at the MS and the PhD level.Sarah Lam, State University of New York, Binghamton Sarah S. Lam is an Associate Professor in the Systems Science and Industrial Engineering Department at the State University of New York at Binghamton. She is an Assistant Director of the Watson Institute for Systems Excellence at Binghamton. She received a B.A. (HONS) degree in quantitative analysis for business from the City University of Hong Kong, an M.S
other things.The down side is that students would never learn from the mistakes, in fact they would not evenrealize they made a mistake punching something on the calculator. This is an important aspect,but when calculators were first allowed (replacing slide rules and logarithmic tables), there wereperhaps such similar arguments!Bibliography1. G. Moses, B. Ingham, K. Barnicle, J. Blanchard, J. Cheetham, S. Courter, E. DeVos, M. Immendorf, M.Litzkow, G. Svarovsky and A.Wolf, “Effective Teaching with Technology”, 36th ASEE/IEEE Frontiers in EducationConference (session T1G), 2006.2. R.E. Walpole, R.H. Myers, S.L. Myers and K. Ye, “Probability & Statistics for Engineers & Scientists”, 7thedition, Prentice Hall, Upper Saddle River, NJ
. This also presents the greatest challenge for IE educators tomaintain a curricula core for the discipline and profession.End NotesThe views expressed in this article are those of the author and do not reflect the official positionof the Air Force, Department of Defense, or the U.S. Government.References1. ALDRICH, J.G., 1912. “The Present State of the Art of Industrial Management,” Trans. of the ASME, Vol. 34, Paper 1378, pp. 1182-11872. BILLINGS, C., J.J. Junguzza, D.F. Poirier, and S. Saeed, 2001. “The Role and Career of the Industrial Engineer in the Modern Organization,” Ch. 1.2, Maynard’s Industrial Engineering Handbook, Ed. K.B. Zandin, Ch. 1.2, pp. 1.21-1.373. EMERSON, H.P. and D.C.E. Naehring, 1988 , Orgins of