distribution with A = 1 and B = 7. In the(N + 1)st column compute the sample mean of the N columns for each of the 1000 rows.(a) For the case N = 25 compute the mean and variance of the sample mean using the (N +1)stcolumn statistics. Compare with the theoretical results. Note that you only have 1000 data pointsand hence the observed value would only be close to the theoretical but not exact. Attach thedensity plot and verify the normal distribution property of the Central Limit Theorem.(b) For the case N = 100 compute the mean and variance of the sample mean using the (N +1)stcolumn statistics. Compare with the theoretical results. Note that you only have 1000 data pointsand hence the observed value would only be close to the theoretical but not
." Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Session 2600.23. Pierrakos, O., Alley, M., Vlachos, P. (2006). "Using Research to Educate Freshman Engineers and High School Students about the Multidisciplinary Character of Engineering." Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Session 1470.24. Baker, M., Nutter, B., Saed, M. (2008). "Development of a Freshman and Pre-Freshman Research and Design Program in Electrical Engineering." Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Session 1459.25. Boudreaux, A., Crittenden, K., Nelson, J., Turner, G. (2008). "Increasing Student Success in
do, inorder. Think in terms of what you have learned (or will learn) in this class.” There was onemultiple choice question concerning perceived impact of production decisions on theenvironment and the student was then asked their confidence about their response to thatquestion. This set of questions is shown in figure 2. How easily/compatible are environmental (green) issues with production systems? a. very compatible b. compatible c. not compatible d. not at all compatible What is the impact of waste in a production system on the environment? How confident are you about answering the previous questions correctly? a) I feel very confident I answered everything correctly b) I feel somewhat confident that
widely among IEprograms a single approach is not likely to be applicable. The following approach shouldtherefore be taken as guidelines for developing an integrated course. It is convenient to assumethere are three existing sets of courses topics A, B, and C, from which the integrated course, I isto be developed. The procedure is as follows: (1) Start with development of course objectives for I. (2) Decompose each of A, B, and C into learning elements. (3) Construct a concept map from the combined set of elements in (2) that will achieve the objectives in (1). (4) Detail an outline and syllabus for the proposed course. For our purpose here, A, B, and C represent concepts from quality control, reliabilityengineering, and
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
AC 2009-169: THE DEVELOPMENT AND IMPLEMENTATION OF ANEXPANDED CAPSTONE DESIGN EXPERIENCE BY REPLACING ANINTERNSHIP COURSEE. Delbert Horton, Texas A&M University, Commerce E.DELBERT HORTON, Ph.D., P.E., Assistant Professor of Industrial Engineering. Dr. Horton teaches a variety of engineering courses, including: Industrial Operations Research courses, Industrial Capstone System Design, and a Project Management course. He has over 38 years experience in academia and in product development and manufacturing, and intelligence systems development and integration for U.S. Government agencies. His experience includes various engineering development and management, and consulting roles at
AC 2009-2203: A SPECIALIZATION IN FINANCIAL SYSTEMS IN SYSTEMSSCIENCE AND INDUSTRIAL ENGINEERING DEPARTMENTNagen Nagarur, State University of New York, Binghamton Dr. Nagen Nagarur is an Associate Professor in the department of Systems Science and Industrial Engineering at Binghamton University. Dr. Nagarur has a B.Tech. in Chemical Engineering from the Regional Engineering College, Warangal, India. He has an M.S. degree in Industrial Engineering from Wichita University, Kansas, and he obtained his Ph. D. degree in Industrial Engineering and Operations Research at Virginia Polytechnic Institute and State University. Dr. Nagarur has been with the Binghamton University since 2001, and prior to that
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
be given by r = (r1,…,rn), where riis the stated probability (the student’s answer) that answer i is correct, and the sum of theseresponses is equal to one. Students are likely to have many different objectives in such a situation, ranging fromlearning the material to getting a good grade. We assume that letter grades are a strictlyincreasing function of the total points earned on the exam and that students seek to maximizetheir points. This simplification seems reasonable, particularly in programs that fractionalizeletter grades (e.g., B+, A-, A). If the student is scored according to some function R, then her expected score when sheassigns r and believes p is R (r | p) i pi Ri (r ) , where Ri is the score received for
the institution Page 14.651.2 and these criteria (b) a process that periodically documents and demonstrates that the objectives are based on the needs of the program's various constituencies (c) an assessment and evaluation process that periodically documents and demonstrates the degree to which these objectives are attained.”In particular, the program should be designed using PEOs that “are based on the needs of theprogram’s various constituencies.”This paper focuses on designing PEOs that meet the needs of employers who might hiregraduates of the program. Most ABET-accredited programs include
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
: a review of literature on its outcomes and implementation issues. Academic Medicine, 68(1), 29.2. Bangert, A. W. (2004). The Seven Principles of Good Practice: A framework for evaluating on-line teaching. The Internet and Higher Education, 7(3), 217-232.3. Barrows, H. S., & Tamblyn, R. (1980). Problem-based learning an approach to medical education. New York: Springer.4. Boud, D., & Feletti, G. (1998). The challenge of problem-based learning (2nd ed.). London: Kogan Page Limited.5. Council on Competitiveness. (2004). Supercharging U.S. innovation and competitiveness. Paper presented at the First Annual High Performance Computing Users Conference, Washington D.C.6. Duch, B
how to use of the Nintendo Wii® game console to teach students a varietyof human factors principles. First, the concept of Signal Detection Theory (SDT) is explainedusing a personalized searching game on the Wii®. Next, an activity involving human sensorysystems is discussed. Finally, a learning module that addresses control design and feedback,focusing on the game’s controller (Wii Remote or Wiimote) is presented. Potential topic areasfor future activities, including human computer interaction, are also discussed. The teachingactivities described in this paper have been successfully used by the author in past semesters. Asampling of student feedback is provided in the paper. Finally, a discussion of how the activitiescould be extended to non
AC 2009-460: INTEGRATING STUDENT EXPERIENCE INTO THE CLASSROOMTerri Lynch-Caris, Kettering UniversityDaniel Ludwigsen, Kettering University Page 14.769.1© American Society for Engineering Education, 2009 Integrating Student Experience into the ClassroomAbstractEngineering educators seek to inspire their students to integrate classroom theories with theirown experience. This paper describes the development of an activity integrating co-opexperiences and/or research interests with classroom learning. The resulting instrument, CITIES– Beyond the Classroom, will be useful for STEM educators to create a participative classroomenvironment. The instrument may be
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