, Salt Lake City, UT, 2004, Session 3566.6 T. R. Hsu, “Teaching ME Undergraduates in MEMS Design and Manufacture”, ASME International Mechanical Engineering Congress and Expo, November 2000, Orlando, Florida, DE-10A.7 L. Lin, “Curriculum Development in Microelectromechanical Systems in Mechanical Engineering”, IEEE Transactions on Education, Vol. 44, No. 1, February, 2001, pp. 61-66.8 J. R. Davis, Interdisciplinary Courses and Team Teaching: New Arrangements for Learning, Westport, CT: American Council on Education and the Oryx Press, 2002, pp. 61-64.9 A. J. Muscat, E. L. Allen, E. D. H. Green, L. S. Vanasupa, "Interdisciplinary Teaching and Learning in a Semiconductor Processing Course", Journal of Engineering Education
own.Manufacturing Cost and InnovationThe percentage of jobs in the manufacturing sector has slowly been decreasing since the1940’s decade. In the early 1940’s, over 30% of all US employment was within themanufacturing sector declining to 11.0% of all employment by the end of 2005.Additionally, US employment in manufacturing sharply decreased from a steady value ofapproximately 17 million to approximately 14.5 million between the years 2000 and2004.10 (Figure 1). Page 11.579.3 Figure 1. US Employment in Manufacturing:1995-2004 (Source: Bureau of Labor Statistics)It is important to note that while the percentage of jobs in the manufacturing sector wassteadily
Commercialization and Entrepreneurship,” Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition (2005).14. D. F. Radcliffe and J. Humphries, “Making the Link between Engineering Management and Undergraduate Research,” Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition (2004).15. A. C. Estes, R. W. Welch, and K. F. Meyer , “Will Ten Pounds Fit into a Five Pound Bag?,” Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition (2005).16. S. H. VanderLeest, “Advocating Breadth in a World of Depth,” Proceedings of the 2005 American Society for Engineering Education Annual Conference
students carefully explained the refrigeration cycle from athermodynamic point of view. They also describe the cycle using the first law ofthermodynamics. They provided T-s diagrams for the real and ideal cycles and identifiedopportunities for efficiency improvements based on the Carnot Cycle. The group alsopresented the appropriate metric, COPrefrigeration for a household refrigerator as shownbelow: Q% evaporator COPREFRIGERATION ? W% electric _ motorWhere,Q% evaporator = Evaporator load, kWW% = Electric motor load, kW electric _ motorExperimental Design: The students outlined in detail all the necessary steps to measurethe proposed metric. The outlined steps
6. REFERENCES[1] T. B. Welch, C. H. G. Wright, and M. G. Morrow, “Experiences in Offering A DSP-based Communication Laboratory,” Digital Signal Proc. Workshop, 2004 and the 3rd IEEE Sig. Proc. Education Workshop, pp. 68-72, Aug 2004[2] W.-S. Gan, “Teaching and Learning the Hows and Whys of Real-Time Digital Signal Processing,” IEEE Trans. on Educ., vol. 45, no. 4, pp. 336-343, Nov. 2002[3] M. D. Galanis, A. Papazacharias, and E. Zigouris, “A DSP Course for Real-Time Systems Design and Implementation Based on the TMS320C6211 DSK,” 14th International Conf. On Dig. Sig. Proc., vol. 2, pp. 853-856, July 2002[4] S. L. Wood, G. C. Orsak, J. R. Treichler, D. C. Munson, S. C. Douglas, R. Athale, and M. A. Yoder, “DSP
, Pennsylvania State University-Erie Robert S. Weissbach received his Ph.D. in electrical engineering from Arizona State University. He is an associate professor of engineering at Penn State Erie, the Behrend College, where he is currently the program chair in Electrical Engineering Technology. His research focuses on power electronics, power systems and multidisciplinary education. Page 11.629.1© American Society for Engineering Education, 2006 Facilitating Entrepreneurship Education at Primarily Undergraduate Institutions (PUIs): Proposed Functional and
," Bureau of Sociological Research, University ofColorado, Boulder, CO 1994.[3] P. A. Rosati, "The Learning Preferences of Engineering Students from Two Perspectives," presented at FIE '98 -Frontiers in Education, Conference Proceedings, Tempe, Arizona, 1998.[4] R. M. Felder, "Meet Your Students: 1. Stan and Nathan," Chem. Eng. Educ., vol. 23, pp. 68-69, 1989.[5] Committee for the Review to the National Science Foundation Directorate for Education and Human Resources,"SHAPING THE FUTURE New Expectations for Undergraduate Education in Science, Mathematics, Engineering,and Technology," National Science Foundation, 1996.[6] P. T. Terenzini, A. F. Cabrera, C. L. Colbeck, J. M. Parente, and S. A. Bjorklund, "Collaborative learning vs.lecture/discussion
variables; self-regulated learning and classengagement. The two variables accounted for a small percentage of calculus variance (1.1%), (F(2, 223) = 1.217; p = .2).The regression analysis results prompted further investigations on the data. A comparisonbetween passing and failing students was done by examining distribution of self-regulatedlearning variable with calculus grades (see Figure 1). Page 11.1113.5 80.00 S e l f r 70.00 e g u l a 60.00 t e d 50.00 l e a r n 40.00 i n g 30.00 Fail Pass Calculus performance Figure 1. Distribution of Self-regulated by calculus
impressive. The statistical analysis of the results of these contestspresented above provides a quantitative measure of the performance of students on a universitywide basis for undergraduate students and on a state wide basis for graduate students. Recentpublished proceedings are listed in the reference section of this paper. REFERENCES1. Beddingfield Mario, Khalid Ahmed, Roger Painter, and T.D. Byl. Desorption Isotherms for Toluene and KarsticMaterials and Implications for Transport in Karst Aquifers. In E.L. Kuniansky, editor, U. S. Geological SurveyKarst Interest Group Proceedings, Rapid City, South Dakota, October 12-14, 2005, p.188. Also available athttp://pubs.usgs.gov/sir/2005/5160/PDF/sir2005
the integration between resources, time, cost, and quality. In such anenvironment, students are able to comprehend project controls information and develop a feel forthe impact which certain decisions have on project goals and objectives, thus creatingknowledge. While additional research regarding the use of modeling and simulation in projectcontrols is underway, the findings contained herein point towards a larger role for its use infuture projects and engineering education.IntroductionAspects of the project management function such as planning, control and monitoring require theintegration of time, cost, and quantity of work with available resources. Since the early 1950’s,the classical scheduling methods of the Critical Path Method (CPM
study has been utilized for teaching and research in varioussubject areas. Newberry17 used a double pendulum for students to learn and understandHamilton’s principle. Gulley found that a double pendulum was a useful case in learning the S-function of Matlab18. Swisher et al19 mentioned to use a double pendulum as a case study in anintegrated vibrations and system simulation course. Romano20 applied a double pendulum toresearching a modular modeling methodology in real-time multi-body vehicle dynamics. 2. Use of the case in ME 592-30/492-03 AMD In the fall of 2005, the double pendulum case was repeatedly used in teaching and learning AMD. The case and its variation were integrated with various teaching and learning scenarios. The first use of
have definitive research findings by 2008.AcknowledgementsFunding for this project is supported by Dr. Joan F Trevelyan scholarship award at the Schoolof Mechanical Engineering, University of Western Australia, Perth.ReferencesBarley, S. and B. A. Bechkey (1994). "In the Backrooms of Science: the Work of Technicians in Science Labs." Work and Occupations 21(1): 85-126.Beder, S. (1989). ""Towards a More Representative Engineering Education"." International Journal of Applied Engineering Education 5(2): 173-182.Bucciarelli, L. L. (1988). "An ethnographic perspective on engineering design." Design Studies 9: 159-168.Bucciarelli, L. L. (1994). Designing Engineers. Cambridge, Massachusetts, MIT Press.Darr, A. (2000). "Technical
densitywere also prescribed at the boundary as user-specified under the up-windadvective difference scheme. Depth-varying initial conditions of salinity andtemperature were obtained from Mt. Mitchell Cruise data [16]. A constant bedfriction coefficient was assumed (0.0026) and the horizontal eddy viscosity wasset at 1.98×106 cm2.s-1. Heat flux parameters were obtained after consultingseveral references and after conducting comprehensive calibration tests [18].For the wind fields considered in summer and winter simulations, typical andconstant in time winds were based on combined data from two sources,Hellerman [27] and UAE Meteorology Department. The last 30 years of 106available records of Hellerman wind data were averaged up and found adequate
Page 11.1135.7 for enabling control and data acquisition with respect to the new experiment.References[1] C. L. Bohus, A. Crowl, B. Aktan, and M. H. Shor, “Running control engineering experiments over the internet,” in Proceedings of the 13th IFAC World Congress, (San Francisco, CA), 1996. paper no. 4c-03.[2] M. L. Corradini, G. Ippoliti, T. Leo, and S. Longhi, “An internet based laboratory for control education,”in Proceedings of the 40th IEEE Conference on Decision and Control, (Orlando, FL), December 2001.[3] S. E. Poindexter and B. S. Heck, “Using the web in your courses: What can you do? what should you do?,” IEEE Control System, vol. 9, no. 1, pp. 83–92, 1999.[4] A. Gupta, M. A. Gabr, and V. C. Matzen, “Alternatives in the
Mult. Choice on line Mult. Choice paper Average Score 67%, s=11.5 69%, s=8.5 While a few students did dramatically improve or lower their test 1 score whengiven the re-test on paper, the average score did not see a significant change. Overall theslight increase in average score is consistent with the expected average increase if eachstudent were instead offered another online attempt. The clear conclusion fromexamining the average scores and the standard deviations (s) is that little, if any, testingbias is introduced by offering the test online versus the more traditional paper/opscanmethod. Comparable time limits were place upon both paper and online test
, the compliance constants may be determined usingequations (9) – (11), which follow from inversion of the stiffness matix in equation (1)2. C44 = 1/S44 (9) C11-C12 = (S11 – S12) -1 (10) C11 + 2C12 = (S11 + 2S12) -1 (11)The compliance constants may then be used to determine the anisotropic values for Young’smodulus3: 1 = s11 (12) E[100 ] 1 1 1 = s11 − [( s11 − S12 ) − s 44
on a leadership role in their respective communities.The paper will conclude with a discussion of the results of anevaluation of the program which was used to gather both studentand teacher/mentor input at the symposium, a listing of lessonslearned, and plans for the future development and extension of theprogram. Page 11.959.1IntroductionNavy’s civilian science and technology (S&T) workforce numbersome 22,000 strong. Of those some 4,000 charge 50% or more oftheir time to actual S&T projects and are considered to be the corepractitioners of S&T for the Navy. Almost half of those 4,000 holdPh.D.s1 with about half working at the Naval Research Laboratory(NRL) and
the County of Maui, the Maui HighPerformance Computing Center, and the U. S. Department of Labor.Participation in the first day’s program included 12 local technology employers (eight of whichalso were actively involved in planning the day’s activities), 32 students and 11 teachers.Students heard from technology employees about their career paths while teachers learned howto prepare their students for tech careers. Everyone then heard a presentation onentrepreneurship in technology. Finally, students chose a breakout session with one of eightparticipating technology companies. On the second day, participants toured the University ofHawaii Institute for Astronomy and the Maui Space Surveillance ComplexDuring the six weeks preceding the event
equivalent of 18 fifty-minute lecture sessions together with practical engineering laboratories for two afternoons aweek. The class usually accommodates between 150 and 175 students, they are dispatched ingroups about 25 strong to each of Lehigh’s seven engineering departments where they work insmall teams undertaking innovative problem solving assignments for half the semester. In mid-semester elected or appointed representatives from each group present their discoveries andconclusions to the whole class; groups are then re-configured and the process repeats for thesecond half of the semester. This way every student ha s an experience with the faculty andfacilities in two departments, but every student learns about the experiences of their peers
2006-115: LEVERAGING INFORMATION TECHNOLOGY TO ENHANCE THEMANAGEMENT OF GRADUATE EDUCATION PROGRAMSWayne Whiteman, Georgia Institute of Technology Wayne E. Whiteman is a Senior Academic Professional and Director of the Office of Student Services in the Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. He received his BS degree from the United States Military Academy in 1979, a master?s degree from MIT in 1987, and a Ph.D. in Mechanical Engineering from Georgia Tech in 1996. Whiteman is a retired Colonel in the U.S. Army and completed 24 years of active military service. He served on the West Point faculty from 1987 to 1990, and 1998 to 2003
Participant In Similar Programs 15 11# FINAL SURVEY - 25 OUTSTANDING VERY GOOD SATISFACTORY MARGINAL UNSTSF YES NO1 EDGE Program 6 17 22 PLATO Instructional Materials 2 8 8 5 2 S. I. Leader's Knowledge &3 13 5 3 2 2 Leadership4 S. I. Leader's Willingness To Help 9 9 3 3 15 S. I. Leader 12 5 4 2 26 Recommend
and present a group-basedinterim report. The report was required to consist of • Problem statement o Describe the issue(s) o Report the project sponsors’ requirements for addressing the issue(s) • Scope & schedule of the project o Itemize the work the project is going to do o Balance the responsibilities of the team members o Schedule the project (daily work schedule, and workload of each team member) • Benefits of the project o Estimate the benefits of the solution to address the issue(s) in the project (note: quantification will be needed in final report)The interim report was the first milestone of the project and the guideline for the remainingwork. After
solution to problems and the relationshipbetween science and technology. Loepp [37] did a comparison study of the M/S/T standards,demonstrating the parallel nature of the engineering design process, scientific inquiry and theproblem solving process.The organization of content standards in science is intended to develop the students' cognitiveability based on critical thinking and scientific reasoning. The ability to learn through inquiry is abasic skill needed to understand how science principles and concepts could be applied toengineering principles and design. Most engineering disciplines require a high level ofproficiency in basic mathematics and science knowledge and skills.National Standards for Technological Literacy, STL, [28] promotes the
subject matter content in these coursesshould be modified to include an appropriate coverage of these topics.Recently, a successful attempt was made to introduce environmental, health, and safetyissues and non-traditional manufacturing processes to mechanical engineering technologyundergraduate students in a beginning manufacturing processes course. The relativeenvironmental, health and safety aspects of each particular process was discussed duringthe traditional lecture(s) as well as during an individual lecture prepared specifically onenvironmental, health, and safety issues pertaining to manufacturing. In addition, aneffort was made to emphasize these important issues during the scheduled laboratory timeof the course. Future efforts include
Learning, Vol. 61, 1995, pp, 15-22.[4]. Levin, J., and Wyckoff, J., “Predicting Persistence and Success in Baccalaureate Engineering”, Journalof Education, Vol. 111, No. 4, 1991, pp. 461-468.[5]. Moreno, S. E., and Muller, C. “Success and diversity: The transition through first-year calculus in the university”, American Journal of Education, Vol. 108, 1999, pp.30-57.[6]. Lucas, S. (2003). Factors associated with African American engineering students’ success in first yearcollege calculus. Unpublished doctoral dissertation, University of California, Davis.[7]. Hoffer, T. B., Rasinski, K. A., & Moore, W. (1995). Social background differences in high schoolmathematics and science course taking and achievement (NCES Report No. 95-206). Washington
Microprocessors,” Proc. of International Conference on Computer Aided Design (ICCAD) Conf., Nov. 1997.[7] J. Hamblen, H. Owen and S. Yallamanchili, “An Undergraduate Computer Engineering Rapid Systems Prototyping Laboratory,” IEEE Trans. on Education, Feb. 1999.[8] M. Holland, J. Harris, S. Hauck, “Harnessing FPGAs for Computer Architecture Education,” Proc. of IEEE Int. Conf. on Microelectronic Systems Education, June 2003.[9] J. Chang and S. Agun, “On Design-For-Reusability in Hardware Description Languages,” Proc. of IEEE Computer Society Annual Workshop on VLSI (WVLSI'00), 2000.[10] Yong-Kyu Jung, Rapid Digital System Deisgn Laboratory Assignment: Instruction Decoder Design and Implementation in Verilog, http://etidweb.tamu.edu/classes/entc249
acquired.ConclusionThe teaching of attack understanding based information assurance requires the use ofguaranteed isolation of laboratory networks. Providing Distance Education courses witha remote laboratory network presents challenges to providing adequate isolation. The useof IP-KVM switches adds a very strong layer of isolation, and in combination with theuse of emulation software such as VMWare or other virtual operating systemenvironment, provides an adequately isolated laboratory network for some exercises.References[1] Frincke, D., “Who watches the security educators?”, Security & Privacy Magazine, IEEE Volume 1, Issue 3, May-June 2003 Page(s):56 – 58[2] Eppes, T. & Schuyler, P., “A General-Purpose Distance Lab System
2006-580: ASYNCHRONOUS COLLABORATION: ACHIEVING SHAREDUNDERSTANDING BEYOND THE FIRST 100 METERSRaghvinder Sangwan, Pennsylvania State University Dr. Raghvinder S. Sangwan is an Assistant Professor of Information Science in the School of Graduate Professional Studies at the Pennsylvania State University. He currently teaches software engineering to professional graduate students from Fortune 500 companies such as Boeing, Lockheed Martin, Merck, Siemens, and Unisys. Dr. Sangwan is a Consulting Member of Technical Staff at Siemens Corporate Research, with over seven years of experience in software engineering research and development. Formerly, he was a lead architect at Siemens Medical, where
, 2003, v 23, n 17, pp 6748-53. 3. Kelly, S. W., Burton, A. M., Kato T., Akamatsu S., “Incidental Learning of Real-World Regularities,” Psychological Science, 2001, v 12, n 1, pp 86-89. 4. Kundrat, M. E. “Measurement and Methods Improvement for the Grand Valley State University STEPS Camp,” submitted to the STEPS Director, GVSU. 5. Greif, Michel. The Visual Factory. Productivity Press, Portland, OR: 1991.. 6. Weiss, W. H. “Human Engineering Goals, Minimum Injuries, Maximum Productivity,” Production Engineering. 1982. 7. Barnes, R. Motion and Time Study.. New York: Wiley, 1980. 8. Konz, S. Work Design.. Columbus, OH: Grid, 1979. [1990] 9. “Ergonomics:: The Scientific Approach to Making Work Human,” International