remained unanswered. Meanwhile technologycontinued to evolve.The department spent these years developing certificate programs and streamlining the programcurriculum. Downward trends in enrollment, shifts in market demographics, and changes in thelocal industry indicated that the traditional two-year program was no longer meeting thecommunity’s needs as well as it had at one time. Enrollment had dropped significantly in the late1990’s to early 2000’s which was due partially to a merger and name change undergone by thecollege during that time. The college, once named State Technical Institute, became SouthwestTennessee Community College and overnight ENTC lost a decades-long reputation for technicaleducation. The name change is considered by some to
electronic voting system and their learning outcomes. Journal of Computer Assisted Learning, Volume 21 (4) Page 260 - August 2005.7. Stuart, S. A. J., Brown, M. I. & Draper, S. W. (2004) Using an electronic voting system in logic lectures: one practitioner's application. Journal of Computer Assisted Learning, Volume 20, Issue 2, Page 95 - April 20048. Carnaghan,C. & Webb, A. (2005) Investigating the Effects of Group Response Systems on Learning Outcomes and Satisfaction in Accounting Education. Paper presented at the University of Waterloo accounting research workshop, the 2005 European Accounting Congress, the 2005 Annual Meeting of the Canadian Academic Accounting Association.9. Williams, J. (2003
into a position or velocity output (s = ut + 0.5at2).X Beginning of Test. Position in mm YX End of Test. Position in mm Y Page 11.960.7 Velocity (mm/sec)Various tests were performed to determine if the readings are repeatable.The
Intelligence, 22, (1984), 235-267. 3. Ballard, D. H. & Brown, C.M., Computer Vision, Prentice Hall, N.J., (1982). 4. Batchelor, B.G., Pattern Recognition, Plenum Press, N.Y., (1978). 5. Campbell, F.W., & Robson, J.G., Application of Fourier Analysis to the Visibility of Gratings, J. Physiol. 197, (1968), 551-566. 6. Gonzalez, R.C., & Wintz, P., Digital Image Processing, Addison-Wesley Publ. Co., MA. (1987). 7. Jain, A., K., Fundamentals of Digital Image Processing, Prentice Hall, NJ, (1989) 8. Lim, J., S., Two-Dimensional Signal and Image Processing, Prentice Hall, NJ, (1990). 9. Nagy, G., State of the Art in Pattern Recognition, Proc. IEEE, 56, (1968), 836-862. 10. Pedrycz, W., Fuzzy Sets in Pattern
Systems 1 course enrolledin the follow-up course, Power Systems 2.Bibliography1. PowerWorld Corporation, Champain, IL. PowerWorld Simulator Version 10.0 http://www.powerworld.com2. “Power System Analysis and Design”, Third Edition, by J. Duncan Glover & Mulukutla S. Sarma. Page 11.216.7
, "The Next Level in TC2K: Continuous Quality Improvement," published in the Proceedings of the 2004 ASEE Annual Conference and Exhibition in Salt Lake City, Utah, June 20-23. Available from http://www.asee.org/acPapers/2004-1262_Final.pdf. 4. Neff, Gregory and R. Roley, "Using the SME Certification Exam in TC2K or EC2000 Outcomes Assessment," published in the Proceedings of the ASEE 2004 Conference for Industry and Education Collaboration, February 3-6, 2004 at Biloxi, Mississippi. Available from http://www.pa.utulsa.edu/CIEC/Papers/neff_roley.pdf. 5. Neff, Gregory, S. Scachitti, and J. Higley, “Counting Down to 2004: Some Insights and Strategies for Satisfying TC2K While There is Still Time
accessed January 18, 2006.6. Humanmetrics, “Jung – Myers-Briggs Topology Test”, http://www.humanmetrics.com/cgi-win/JTypes2.asp. Last accessed January 18, 2006.7. eInstruction™, “Classroom Performance System”, http://www.einstruction.com/. Last accessed January 18, 2006.8. Bloom, B. S. et al., (1956) Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook 1: Cognitive Domain, David McKay Company, New York.9. Mazur, Eric, (1997) Peer Instruction: A User’s Manual, Prentice Hall, Upper Saddle River, New Jersey. Page 11.785.510. Harris, A. H., A Manual for the VaNTH
the Summer semester or Summer quarter(s), his/her cumulative GPA at the end of the Summer is used as the cumulative GPA for the Spring semester of that academic year. Semester 1 is the first semester of enrollment and can be either the Fall or Spring term as defined above. Non- enrolled semesters do not add to the number of semesters tracked in this study. • Cumulative GPA: Grade point average for all courses taken at the University as obtained directly from the SUCCEED LDB. When a cumulative GPA for a student is missing, the Census GPA at the beginning of the following semester for that student is used. The census GPA is the cumulative GPA at census point of a semester, typically two weeks
, R. (1998). Learning vs. Performance: Retention and Transfer of Knowledge and Skills from Long-TermMemory. In Building Expertise, Cognitive Methods for Training and Performance Improvement (pp. 83-94).Washington, DC: International Society for Performance Improvement.2 Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001, Winter). What makes professionaldevelopment effective? Results from a national sample of teachers. American Educational Research Journal 38(4),915-945.3 Guskey, T. R. (1999). New perspectives on evaluating professional development. Paper presented at the annualmeeting of the American Educational Research Association. Montreal, 19-23 April.4 Guskey, T. (March, 2002). Does it make a difference
proxies for the program andcourse outcomes, all of these instruments deal directly with the outcomes themselves.2 Inthe following section, the three primary instruments that form the M.E.E.T.(“Measurement and Evaluation in Engineering Technology”) system will be described. 1. Student Performance. Faculty are presented with a list of their students, along with a list of the course-level outcomes associated with their course(s). They are asked to rate each student’s ability to perform each outcome using a 3-point scale (“Exceeded”, “Met”, “Not Met”). They are then asked to specify the evidence Page 11.915.2 used to make this judgment
confirms that rapid advances in Virtual Instrumentation programs on the one handand precise data acquisition technology on the other hand, enable the analysis of complexvibration problems to be feasible in a normal research laboratory.Students through this project were able to build a measurement set up for a solid structure and beconfident about their results by verifying their data using computer simulation. This project hasalso established an open-ended undergraduate research lab in the area of structural dynamics.AcknowledgmentsThe author acknowledges the support of Virginia State University’s Research Initiation Grant aswell as the U. S. Department of Education MSEIP Grant Number DUNS 074744624.Bibliography 1. LabVIEW, “Data Acquisition
, New Jersey Institute of Technology Linda A. Haydamous received a B.E. in Electrical Engineering with a minor in Information Technology from the American University of Beirut in 2005. She is currently an M.S. candidate in the Engineering Management program at New Jersey Institute of Technology, and is working as a graduate Research Assistant in Operations Research. She is a Student Member of the IEEE since 2003.Wissam Kazan, Stanford University Wissam S. Kazan received his B.E. in Computer and Communications Engineering with distinction from the American University of Beirut in 2005. He is currently an M.S. candidate in the Computer Science program at Stanford University, and is
workbook will be available through the SMEsometime in the near future. Over time, it may be possible to establish a growing and freelyavailable collection of workable DFX exercises through the contribution of thoughtful problemsfrom skilled design practitioners. No formal repository or mechanism is yet in place to do so, butthe authors will investigate the possibility of making this workbook ‘expandable’.References1. Andreasen, M., Kahler, S., and Lund, T., (1983), Design for Assembly, IFS Publications Ltd., U.K.2. Bakerjian, R., (1992) Tool and Manufacturing Engineering Handbook (vol 6) Design for Manufacturability,Fourth Edition, Mc Graw-Hill Book Co.3. Boothroyd, G., Dewhurst, P., and Knight, W. (1997), Product Design for Manufacture and
CoE students participating as mentees after the two-week trial period was Page 11.887.6320. Of the 320 mentees, 310 were freshman accounting for 26.8% of the entering freshman CoEpopulation. Original Number of Mentoring Program Participants as of 08/22/2005 381 Mentees, 79 Mentors 300 274 250 Total Num ber of S tudents
s = Atr * ( *Ds) / ( *Ds2/4*Pitch) = 0.0127Minimum Value of s = 0.45*(Ag/Ach-1)*f'c/fys= 0.0230 NG, use other spiral or reduce the pitchMaximum Axial Capacity: Pn(max) = 3794 kip Scale of the DrawingMaximum Axial Capacity: *Pn(max) = 2656 kip 1 : 3/32
production reports are eliminated and incoming and outgoingsigns are provided to allow the stations to be organized well, introducing the concept of 5-S. 5-Sis a Japanese philosophy of workplace organization where the central theme is to have a place foreverything and keep everything in its place, is practiced. In the second round, there is someimprovement in terms of the profit numbers, however the variation in between the forecastedproduction schedule and the actual customer requirement still produces excess inventory inbetween the operations, resulting in substantial chaos within the simulated cell.In the final round, the layout is created with kanbans in between the operations as shown inFigure 3, and the concept of Takt time is introduced. Takt
manufacturing engineering curricula into a substantively new format. The paper concludes with observations and measures of student response gathered in application of the four-stage model in the author’s classes.Context and Continuity: As a formal field for academic preparation, the discipline ofmanufacturing engineering has been evolving for only two or three decades. Through thesponsorship and leadership of the Society of Manufacturing Engineers, documents offeringcurricular structuring, suggested course content and focused central learning objectives appearedfrom the mid-1980’s through the 1990’s.1,2,3 Likewise, over the past ten years, competency mapsand gaps for various stages of manufacturing engineering careers have been published by SMEand
teachers meaningfulengineering-related research experience that they can draw upon to educate their students aboutengineering career opportunities.To date, the UH-RET site has hosted 25 participants from 17 schools in nine independent schooldistricts, with another 14 participants expected in the summer of 2006. The diverse nature of theHouston community allows RET participants to subsequently reach a wide range of ethnic andsocio-economic groups, including numerous under-represented minorities. Teachers who haveparticipated teach a variety of subjects and levels, including courses in mathematics, physics,biology, chemistry, computing, and technology.Each teacher works closely with an engineering faculty member and graduate student(s) toconduct
chart of DB v/s DBB looks as shown below. Page 11.402.4 DESIGN - BUILD Owner Design-Builder Fig. 1 DESIGN – BID - BUILD Owner Architect/Engineer General Contractor Fig. 2From the above organizational charts of the two very different project delivery systems, it isquite clear that the owner has to deal with a single entity
expensivepublic institutions.2 The for-profit schools make it easier to enroll than most non-profitschools. Some critics claim it is too easy to enroll and that the for-profits use pressuretactics.2,11 Abuses at for-profit schools in the 1990’s eventually led to a federal lawoutlawing incentive pay, commissions or bonuses for recruiters. There have also beencomplaints about the web advertising used by for-profits.12 The for-profit schools claimrecruitment abuses no longer occur; however, the University of Phoenix did settle complaintsby paying the largest fine ever levied by the U.S. Department of Education.13 Also, withmore than 5000 “enrollment counselors” at the University of Phoenix11 and more than 500“undergraduate admissions representatives” at
Thompson, Michigan State University BRIAN S. THOMPSON Brian S. Thompson is a Professor of Mechanical Engineering at Michigan State University. Currently he serves as the Departmental Design Coordinator. Dr. Thompson has published in the following areas: mechanisms, smart materials, composite materials, flexible fixturing, robotics, variational methods and finite element techniques. He received a BSc and MSc from Newcastle University, England, in 1972 and 1973 respectively, and a Ph.D. from the University of Dundee in Scotland in 1976.Alan Haddow, Michigan State University ALAN HADDOW Alan Haddow is an Associate Professor of Mechanical Engineering at Michigan State University. Currently
2006-69: CREATING CULTURAL UNDERSTANDING IN ENGINEERINGTECHNOLOGY CURRICULACharlie Edmonson, University of Dayton CHARLIE P. EDMONSON is an Associate Professor and Program Coordinator of Industrial Engineering Technology at the University of Dayton. Prior to joining the faculty at UD, he retired from the U. S. Air Force after 30 years of engineering design, industrial engineering, and experience at various levels of management.Donna Summers, University of Dayton Donna C.S. Summers, Ph.D. is a professor of Industrial Engineering Technology at the University of Dayton. Her major areas of concentration are Quality Assurance and Human Factors. She has published two texts: Quality and Quality
-658.10. E.P. Papadakis. 1980, Challenges and Opportunities for Nondestructive Inspection Technology in the High-Volume Durable Goods Industry. Mat. Evaluation, Vol. 39, No. 2, pp. 122-130.11. Ahmad, S., 1988, A laboratory experiment to teach some concepts on sensor-based robot Assembly systems, IEEE Transactions on Education, Vol. 31, No. 2, pp. 74-84.12. Kikuchi, T., Fukuda, S., Fukuzaki, A., Nagaoka, K., Tanaka, K., Kenjo, T. & Harris, D.A., 2004, DVTS-based remote laboratory across the Pacific over the gigabit network, IEEE Transactions on Education, Vol. 47, No. 1, pp. 26-32.13. Guimaraes, E., Maffeis, A., Pereira, J., Russo, B., Cardozo, E., Bergerman, M. & Magalhaes, M.F., 2003, REAL: a virtual laboratory for mobile
scaleapplications within the military sector during WWII and the late 1940’s and early 1950’s. Theunique combination of performance benefits offered by composite materials has now propelledits use into almost every industry sector within today’s global economy. Composites or morespecifically, Fiber Reinforced Polymers (FRP), consist of a polymer matrix, usually a thermosetplastic and a variety of reinforcements, including glass, carbon (graphite) and aramid (Kevlar)fibers. It is this unique combination of complementary properties that, when combined, create anentirely new material with very specific characteristics. This makes the design and use ofcomposites more desirable than some of the more traditional materials in many different
Technologist at S-3 Engineering in Ann Arbor, Michigan. She received her Bachelor of Science degree in Manufacturing Technology from Eastern Michigan University, graduating Cum Laude in December of 2004; and was awarded an Excellence in Manufacturing scholarship. She is a member of various professional societies such as Society of Automotive Engineers, Society of Plastics Engineers, the Engineering Society of Detroit and the Society of Manufacturing Engineers - from which she earned her Manufacturing Technologist Certification. She is currently a Manufacturing Engineer at Global Engine Manufacturing Alliance in Dundee, MI
Constructively about Science, Technology and Society Education, State University of New York Press: Albany, NY, 1992.3. Nair, I., Jones, S., and White, J., (2002), “A Curriculum to Enhance Environmental Literacy,” Journal of Engineering Education, January, 57-67.4. Poole, S., DeGrazia, J., and Sullivan, J., (2001), “Assessing K-12 Pre-Engineering Outreach Programs,” Journal of Engineering Education, 43-48.5. Sutliff, R., and Baldwin, V., (2001), “Learning Styles: Teaching Technology Subjects can be More Effective,” Journal to Technology Studies, Wi-Sp, 22-27.6. Waller, A., (2003), “Active Learning Techniques: Getting Students to Think During Class,” Workshop Presented at Ohio Northern University, TJ Smull College of
Laboratoryfor the School Preview and Summer Program for High School Students. The equipment willbecome an important part of our outreach events and summer program for promising high schoolstudents from backgrounds underrepresented in the engineering profession.Reference:1. SFSU Civil Engineering Curriculum Mission Statements, Internal Report by School of Engineering, San Francisco State University (2003).2. Sabatini, D.A., Teaching and Research Synergism: the Undergraduate Research Experience, Journal of Professional Issues in Engineering Education and Practice, Vol. 123, No.3, 98-102 (July 1997).3. Jenkins, S. R., Pocock, J.B., Zuraski, P.D., Meade, R.B., Mitchell, Z.W. and Farrington, J.J., Capstone Course in an Integrated
students were not required Page 11.650.3to complete any formal assignments. Attendance was used as the sole means of evaluation andthe grading was on a Satisfactory/Unsatisfactory (S/U) basis. Each student signed in at the startof every class by completing a form on which they identified the speaker of the day and wroteand signed their name. Students were permitted to miss two classes throughout the term.Students that receive an unsatisfactory grade are required to complete an assignment or taskdetermined by the senior faculty member to have the grade changed to satisfactory. Studentswere never formally surveyed to gauge their reaction to the course
. 4. Dutoit, A.H. and Bruegge, B. (1998) “Communication Metrics for Software Development,” IEEE Transactions on Software Engineering, vol. 24 no. 8, August 1998, pp 615-628. 5. Kaushik, S. (2001) “A Study of Attributes of Communications as They Relate to Software Development,” Master’s Research Project, Southern Polytechnic State University, 2001. 6. Cockburn, A. (2000) “Selecting A Project’s Methodology,” IEEE Software, July/August 2000, pp 64-71. 7. Roberts, T.L., Cheney, P.H., Sweeney, P.D. (2002), “Project Characteristics and Group Communication: An Investigation,” IEEE Transactions on Professional Communication, vol.45, no.2, June, 2002, pp 84 – 96. 8. Hirschheim, R. and Newman, M
numerous options to students, such asmethod such as what material(s) to use for the frame and fairing, what fabrication method(s) to employ and what drive system to utilize. The Pugh method of selection analysis can be an ideal tool for illustrating the importance of decision making early in the design process.The role of analysis This project offers many opportunities for students to apply principlesin design: learned in the classroom. Examples may include a shear & moment diagram to fully understand a beam’s loading, Mohr’s circle to learn the combined affects of bending and shear in a drive axle