: The authors are both ABET PEVs for Bioengineering and Biomedical Engineeringprograms; however, no information from visits the authors have made as ABET PEVs ordeveloped for the ABET accreditation visits at their previous institutions was used to prepare thispaper. In addition, the content of this paper has not been reviewed or endorsed by ABET, Inc. orby the Accreditation Activities Committee of the Biomedical Engineering Society and is the sole Page 12.1210.12responsibility of the authors. Having disclaimed all that, the authors still hope that the readerswill find the content of the paper to be useful.Bibliography1. J. Enderle, J. Gassert, S
averageof the midterm exam grades (40%, with the lowest of the three grades counting half as much aseach of the other two), the final exam grade (30%), homework grades, with team grades adjustedfor individual team citizenship (20%), and problem session quizzes and in-class exercises (10%).The grading criteria were as follows: >97=A+, 93–96.9=A, 90–92.9=A–, 87–89.9=B+,..., 63–66.9=D, 60–62.9=D–, <60=F. A grade of C– or better is required to move on to the next coursein the departmental curriculum. The course grade distribution was as follows, with “A” denoting grades of A+, A, and A–, and similarly for B, C, and D: A–18%, B–36%, C–27%, D–6%, F–9%, (S, U, IN)–4%. Gradesof S and U (satisfactory and unsatisfactory) are given to students
, November 1990.Lily Lee. Gait Analysis for Classification. AI Technical Report 2003-014. Massachusetts Institute of Technology —Artificial Intelligence Laboratory. 2003.Yam, C. Y., Nixon, M. S. and Carter, J. N. (2001) Extended Model-Based Automatic Gait Recognition of Walkingand Running (Speech). In Proceedings of Proceedings of 3rd Int. Conf. on Audio- and Video-Based BiometricPerson Authentication, AVBPA 2001, pp. 278-283. Page 12.57.9
, evaluation, and selection of design alternatives against multiple and perhaps conflicting requirements e.) analysis and verification of the design throughout the various stages of the process, leading to a product that is validated against design requirements2. Design systems in a team environment where multiple disciplines or ME specialty areas are used.3. Understand the ethical responsibilities associated with the mechanical engineering profession.4. Prepare formal written design documentation (e.g. memos and technical reports) and present effective oral presentations.5. Utilize a variety of sources in researching the field(s) and concepts appropriate to the design and benchmarking (e.g : US Patent and Trademark Office, vendor
Canada University of Saskatchewan Canada Louisiana State University USA Texas A&M College Station – USABibliography1. Bakker, P. et al.: “The Communicating Technologist: An Educational Challenge,” paper presented at the ASEE/IEEE Frontiers in Education Conference, 1995.2. Cunha, J. C.: “Design and Implementation of an Advanced Resources Economic and Risk Analysis Course,” paper presented at the 2006 ASEE Annual Conference & Exposition, Chicago, USA.3. Seidle, J. and O’Connor, L. S.: “Production Based Probabilistic Economics for Unconventional Gas,” paper SPE 82024 presented at the SPE
-1102.15. Thylen, L., P.A.Algerbo, and A. Giebel. 2000. “An expert filter removing erroneous yield data”. In P.C. Robert et al. (ed.) Precision agriculture[CD –ROM]. Proceedings of 5th International Conference on Precision Agriculture, Minnesota, 16-19 July 2000, ASA, CSSA, and SSSA, Madison, WI16. Yield Editor (USDA) : Available Online http://www.ars.usda.gov/services/software/download.htm?softwareid=20&modecode=36-20-15-0017. Naoum, S., and Tsanis, I.K., “ Ranking Spatial Interpolation Techniques Using a GIS-Based DSS” Global Nest : The International Journal Vol. 6, No: 1, pp. 1-20, 2004.18. Terra Hawk Aerial System , http://www.terraverdetech.com/Brochures/TerraHawk.pdf19. Wolf, Paul and Dewitt, Bon, Elements of
grade level(s) do you teach? 6 N=9 55.6% 5Number of Teachers 4 3 2 22.2% 1 11.1% 11.1% 0 6-8th 9th 9-10th 9-12th What is your gender? 6 N=9 5Number of Teachers 44.4% 4
is the first step towards this, and it is now up to the professionals in the field toimplement sustainable design into every aspect of their projects, as well as the educators who areteaching the professionals of the future.Bibliography1 Sandra F. Mendler and William Odell, The HOK Guidebook to Sustainable Design (New York: John Wiley &Sons, Inc., 2000), 1.2 United Nations, Report of the World Commission on Environment and Development, 42/187, December 11, 1987.3 See note 1 above.4 “Web of life” is a frequently used term in a variety of contexts. Here it refers to the intricate interconnectednessand diversity of nature, of which we are inextricably a part.5 Sim Van der Ryn, and S. Cowar, . Ecological Design. (Washington, D.C
Page 12.912.9encouraging, and suggest that the approaches followed in this course could be adapted tointroduce engineering students to advanced multidisciplinary research topics from many fields ofscience and engineering.AcknowledgementsThe authors would like to thank the Department of Electrical and Computer Engineering forsupporting these efforts to develop and improve a new course to introduce biomedicalmicrosystems to electrical engineers.References1. A. Manz and H. Becker, Microsystem Technology in Chemistry and Life Sciences (Springer-Verlag, 1999).2. A. Manz, N. Graber, and H. M. Widmer, Sensors Actuators B 1, 244-248 (1990).3. S. Latta, Scientist 11, 1-7 (1997).4. T. Laurell, J. Nilsson, K. F. Jensen, D. J. Harrison, and P. Jorg
prototypes. The equipment will consist of table top drillpresses, small grinders and a series of different prototype machines. Two of the machinescurrently in house are Z-Corp.’s Spectrum Z510 (discussed earlier) and an earlier model (Z402)which uses starch based powder. Two other machines currently in house are the Dimension BST(an RP machine that prints ABS® plastic) and a wax modeler that allows for lost foam method.These are some tools and best practices that entrepreneurs can use to develop future products.The current means to develop sound product innovation and entrepreneurial practices are foundin RIT’s MET department, consisting of a set of three classes: Product Idea and ConceptSelection, Develop-Design New Products, and Product
schedule for the math club, and some ofthe soft skills learned by students. It also provides information on variouscompetitions that are available to students in Washington State and ranks themaccording to the level of difficulty. Finally it discusses the lessons learned in thepast seven years which may be helpful to those who are considering starting onein their own neighborhoods.MathClub - Inception through Current StatusThe math club was started in mid 1990’s with one parent volunteer and a fewstudents. It was a before school 50-minute, unstructured, enrichment program,where students from 2nd through 4th graders came in to play math related gamesand puzzles. Each session typically had about 20 students. However, after a fewmonths the organizer
collegestudents (http://www.solarnow.org.)BooksBerger, J. 1997. Charging Ahead: The Business of Renewable Energy and What it Means forAmerica. Henry Holt & Co.Berinstein, P. 2001. Alternative Energy: Facts, Statistics, and Issues. Oryx Press.Boyle, G. 2004. Renewable Energy. Oxford University Press.Boyle, G. 1996. Renewable Energy: Power for a Sustainable Future. Oxford University Press.Boyle, G., Everett, B., Ramage, J. 2003. Energy Systems and Sustainability. Oxford UniversityPress.Ewing, R. 2003. Power with Nature: Solar and Wind Energy Demystified. Pixyjack Press.Morgan, S. 2002. Alternative Energy Sources. Heinemann Library.Scheer, H. 2004. The Solar Economy. Earthscan Publications.Sorensen, B. 2004. Renewable Energy. Academic Press
learned and apply them to other courses later on in their undergraduate careers. In thefuture, we would like to incorporate more active learning exercises in class to improveunderstanding of concepts and assess student understanding of lecture material in real time.Additionally, we plan to develop methods to more quantitatively assess student learning from thephysician client design project, the level of student interest generated, and the impact of thecourse on the students’ academic careers.Bibliography1. Kim, U.K., Breslin, P. A. S., Reed, D., and Drayna, D., Genetics of Human Taste Perception, Journal of Dental Research, 83(6): 448-453, 2004.2. “Using a Single-Nucleotide Polymorphism to Predict Bitter-Tasting Ability”. Carolina Biological
100 points Energy Balance 100 points Getting Around 100 points Some of the contests, such as energy balance and hot water, can be objectively judged by comparing measured data, while others, such as architecture and Page 12.227.3 communications, are subjectively evaluated. 2The 2005 Solar Decathlon, the 2nd in what has become a continuing series,took place in the fall of 2005 for a three week period between September 29and October 19 on the National Mall in Washington, D.C., located betweenthe U. S
, pp. 75-91, 1997.4. Smith, K., Sheppard, S., Johnson, D., and Johnson, R., Pedagogies of Engagement: Classroom-Based Practices, Journal of Engineering Education, Vol. 94, No. 1, pp. 87-101, 2005.5. Barrows, H. and Tamblyn, R., Problem-Based Learning: An Approach to Medical Education, Springer, New York, NY, 1980.6. Barrows, H., “Problem-Based Learning in Medicine and Beyond: A Brief Overview,” in Wilkerson, L. and GIjeseaers, W., eds., New Directions for Teaching and Learning, No. 68, pp. 3-11, 1996. Page 12.498.8
12.490.2Rather than researching new cryptographic algorithms, our students focus on evaluatingcryptographic implementations in the context of particular enterprise security goal(s). Inthese evaluations, our students draw on existing standards and standard organizationssuch as the Security Requirements for Cryptographic Modules (FIPS-140) [2] and theNational Institute for Standards and Technology (NIST). A look at sample learning goalsfor our laboratory module’s will help illustrate this.Sample Module GoalsAt the end of this class, students will be able to:1. Apply cryptographic services to: a. Conceal information within a file (encryption). b. Verify a file’s integrity c. Authenticate a file’s origin2. Provide evidence of non
colleges. The college facultyhas reinforced the merits of this pathway (using commercial instead of proprietarysoftware) noting that they could possibly be using the system to the full capabilities of theMES at this point in time.For the supporting curriculum, each pilot group faculty originally envisioned using theHAS 200 for different applications and different programs at their own institutions, theseincluded degree and certificate programs in automation, robotics, electronics, advancedmanufacturing, and others. This caused some disconnect in the early stages of curriculumdevelopment. Additionally, the pilot group got a late start with this activity, even with thecurriculum that was feasible to develop with the HAS 200’s current capabilities
. Reynolds, C. “ An Undergraduate Information Assurance Curriculum.” Proceedings of the 2003 IEEEWorkshop on Information Assurance, 2003.5. McTighe, J., G. Wiggins. Understanding by Design. Association for Supervision and Curriculum Development,Alexandria, Virginia, 1998.6. Anwar, S. and P. Ford. “Use of a Case Study Approach to Teach Engineering Technology Students.”International Journal of Electrical Engineering Education, 38 (1), January 2001, pp 1-10. Page 12.226.10
population that has taken the UMRentrepreneurship course. Since there was no survey of a comparative population, anyconclusions are limited to those perceptions.References:1. Kuratko, D.F. and Hodgetts, R.M. (2004). Entrepreneurship: Theory, process, practice (Mason,OH; South-Western Publishers).2. Vesper, Karl.H. and Gartner, William.B.(1997). “Measuring progress in entrepreneurshipeducation,”Journal of business venturing, Vol. 12, pp.403-421.3. Katz, J.A. (2003). “The chronology and intellectual trajectory of Americanentrepreneurship education 1876-1999,” Journal of business venturing, Vol. 18, pp.283-300.4. Solomon, G.T., Duffy, S. and Tarabishy, A. (2002). “The state of entrepreneurship education in the United States:A nationwide survey and
Center. (4).332-334.13. Romero, O. (1999). Crecimiento Psicológico y Motivaciones Sociales. Mérida: Ediciones ROGYA.14. Adams, S., Simon, L., and Ruiz, B. (2002). A Pilot Study of the performance of student teams in engineering education. Proceedings of the 2002 American Society for Engineering Education Annual Conference. Montreal, Canada. Page 12.1607.10
. Page 12.892.8EWU intends to continue with this project and encourages other universities to look for coursesthat they can use interdisciplinary team projects to teach team dynamics that the student will beexposed to upon entering the new global work force of today.Bibliography1. Bosworth, K. and Hamilton, S. J., editors, “Collaborative Learning: Underlying Processes and Effective Techniques”, New Directions for Teaching and Learning, No. 59, 1994.2. Higley, K. A. and C. M. Marianno “Making Engineering Education Fun,” Journal of Engineering Education Vol. 90, No.1, pp 105-107, January 2001.3. Johnson, D.W. and Johnson, R.T., Learning Together and Alone: Cooperative, Competitive, and Individualistic Learning, Allyn and Bacon
the variation or problem. In measurement phase the variables that are measured could bein the form various analog and digital signals. For example analog variables are speed (rpm, rps,and m/s), torque (N-m, ft-lb), input power (W, kW), output load (W, kW, and HP), temperature(°C, °F), controlled variable (frequency, f) of the induction motor etc. The digital signals areON/OFF, events, YES/NO, motor start (START SW), motor stop (STOP SW) signals etc. Theseanalog and digital variables are converted in to standard currents and voltage signals. Generally,these standard analog signals are 4 – 20 mA DC current, 1 – 5 VDC or 0 to 10 VDC voltage anddigital signals are 0 and 5 VDC, 0 and 10 VDC and or 0 and 115 VAC and so on. Commerciallyavailable
students that bestdetermined long-term retention and graduation rates. This paper describes what happensfrom year to year and how retention and ultimately graduation are predicted by not onlystudent entry characteristics, but also institutional and departmental characteristics.2. A New Admission CriterionIn an earlier publication2 where we studied a cohort of engineering students who startedin the fall of 1999, we found that retention of transfer students was best predicted by theentry characteristics "number of math and science credits transferred", grade pointaverage at the previous school(s), and choice of major (Electrical Engineering studentswere retained most, Computer Science students least). Freshmen retention was bestpredicted by program
. 1348-1363, 1997.[2] R. G. Johnson, “Can iris patterns be used to identify people,” Los Alamos NationalLaboratory, CA, Chemical and Laser Sciences Division, Rep. LA-12331-PR, 1991[3] D. Miller, Ophthalmology. Boston, MA: Houghton Mifflin, 1979.[4] J.Daugman, “Statistical Richness of Visual Phase Information: Update onRecognizing Persons by Iris Patterns”, International Journal of Computer Vision,Vol.45(1),pp.25-38, 2001.[5] J.Daugman, “High Confidence Visual Recognition by a Test of StatisticalIndependence”, IEEE Trans.Pattern Analysis and Machine Intelligence, Vol. 15, No.11,pp.1148-1161,1993.[6] R. P. Wildes, J. C. Asmuth, G. L. Green, S. C. Hsu, R. J. Kolczynski, J. R. Matey, andS. E. McBride, “A Machine VisionSystem for Iris Recognition
January 9, 2007.3. F.P. Incropera and D.P. DeWitt, “Introduction to heat transfer,” 3rd Edition, John Wiley & Sons Inc., (1996).4. A. Horvat and B. Mavko, “Hierarchic modeling of heat transfer processes in heat exchangers,” Int. J. Heat Mass Trans., 48, pp. 361-371, (2005).5. Allio, R.J. Leadership development: teaching versus learning, Management Decision, v 43, n 7, 2005, 1071-7.6. Curtis, Myra W.; Martin, Clifton S.; White, Carl. "The evolution of a K - 12 pre-college program through student leadership development," ASEE Annual Conference Proceedings, 2001 ASEE Annual Conference and Exposition: Peppers, Papers, Pueblos and Professors, 2001, p 10015-10025. 2001 ASEE Annual Conference and Exposition: Peppers, Papers
Negative SAT-V Negative Negative Negative SAT-M Negative Positive PositiveBibliography1. Takahira, S., Goodings, D., and Byrnes, B., “Retention and Performance of Male and Female Engineering Students: An Examination of Academic and Environmental Variables,” Journal of Engineering Education, Vol. 88, 1998, pp. 297-304.2. Ohland, Matthew W., Sharon A.Frillaman, Guili Zhang, Catherine E. Brawner, and Thomas K. Miller. “The Effect of an Entrepreneurship Program on GPA and Retention.” Journal of Engineering Education, Oct. 2004, pp. 293-301.3. Lackey, L., Lackey, W., Grady, H., Davis, M
access to at their home institution. 5) Giving students the opportunity to implement algorithms in the laboratory is helpful in their learning of such algorithms.The authors would be glad to work with others who are interested in developing such acourse, laboratory, or additional remote experiments. All course materials are availableupon request.Acknowledgements: "This material is based upon work supported by the National Science Foundationunder Grant No. 0410863. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect theviews of the National Science Foundation." The authors would further like to thank the students in this
joint projects considering flood provention and spatial planning. Magdeburger Wasserwirtschaftliche Hefte: Hochwassemanagement, Band 3. 8.5. Fox, P.L., Worley, W., Hundley, S., & Wilding, K. (2006). Enhancing Student Learning Through International University-Industry Cooperation: The GO GREEN Course. International Journal of Engineering Education. (Accepted January 2007).6. Fox, P., & Hsu, A. (2006). Sustainable Undergraduate Research Opportunities in Germany. Magdeburger Wasserwirtschaftliche Hefte: Hochwassemanagement, Band 3.11. Page 12.20.9
AC 2007-1674: IMPROVING INTERDISCIPLINARY CAPSTONE DESIGNPROJECTS WITH COOPERATIVE LEARNING IN THE MEDI-FRIDGEPROJECTDavid McStravick, Rice University DAVID MCSTRAVICK received his B. S. and Ph. D. degrees in mechanical engineering from Rice University. He worked in industry for many years in various engineering research positions. He joined Rice University in 1996 and is currently a Professor in the Practice of Mechanical Engineering in the MEMS Department. He teaches in the area of engineering design and his current research interests are in medical product design and in engineering education.Marcia O'Mallley, Rice University MARCIA O’MALLEY received the B.S. degree in mechanical engineering from
. T. Buck, S. Ha, E. A. Lee, and D. G. Messerschmitt, "Ptolemy: A Framework forSimulating and Prototyping Heterogeneous Systems," Int. Journal of Computer Simulation,special issue on "Simulation Software Development," vol. 4, pp. 155-182, April, 1994[7] New Features in LabVIEW of Interest to Academia,http://zone.ni.com/devzone/cda/tut/p/id/3683[8] Control Design Tools[9] J.F. Kelly, LEGO Mindstorms NXT: The Mayan Adventure, ISBN: 1-59059-763-X[10] Improving Retinal Disease Treatment with LabVIEW FPGA and Intelligent DAQ, M.Wiltberger, Optimedica Corp., http://sine.ni.com/csol/cds/item/vw/p/id/698/nid/124400[11] ABET Website, http://abet.org/[12] ABET (a)-(k) Program Outcomes 2007-08, http://abet.org/Linked%20Documents-UPDATE/Criteria%20and