, Canberra:Engineers Australia. http://www.engineersaustralia.org.au/about-us/course-accreditation/publications/publications-and-supporting-documentation.cfm, accessed July-15 2006.5. S. Florman, Non-technical studies for engineers: The challenge of relevance. European Journal ofEngineering Education, 1997. Vol. 22, No. 3, pp. 249-258.6. C. Dillon, Engineering education: time for some new stories. Engineering Science and EducationJournal, 1998. Vol., No. August, pp. 188-192.7. L. Pascail, The emergence of the skills approach in industry and its consequences for the training ofengineers. European Journal of Engineering Education, 2006. Vol. 31, No. 1, pp. 55-61.8. L. R. Lattuca, P. T. Terenzini and J. F. Volkwein, Engineering Change
over a million dollar economic impact per employee.Accreditation ImpactsThe EET program was facing a TAC of ABET program review in the fall of 2007. Thatprospect allowed a heightened focus on several key accreditation factors. Specifically, thefaculty member of the team recognized an opportunity to note specifics on how EETalumni were utilizing the required attribute components of program objectives (the “a-k”list) on the job. Additionally, job responsibilities for alumni make strong arguments thatthe program’s longer term educational objectives are being met. Finally, the encounterswith alumni offered a way to assess how the professional society mandated outcomes (inour case, the IEEE’s outcomes for Electrical/Electronic(s) Engineering
range of scientific applications. ‚ Epistemological development that provides the cognitive infrastructure for longer-term gains in scientific reasoning and correlates with more general advances in critical thinking. ‚ Critical thinking as demonstrated by increasingly sophisticated analysis, evaluation, application and synthesis as indicated, in part, by the ability to discover patterns of information in data across fields, interpret the meaning(s) of those patterns, and argue convincingly for significance of the interpretation. ‚ Greater engagement of students in learning.ResultsA comprehensive set of both quantitative and qualitative development measures have beenassessed throughout the ES
, Thermodynamics, Dynamics • Electrical Engineering – Introductory Circuits (non EE majors), Advanced Circuits (for EE majors), Intro to Digital Systems • Other Engineering – Numerical Methods, Technical WritingInstructors at Pima have advanced degrees in engineering fields (MS and PhD), generally haveextensive industry experience, and focus largely on teaching. Class size for engineering classesare typically in the 10’s and 20’s. There are 4 campus locations, but most engineering classesare offered only at the West Campus location.There is a formal articulation agreement that is posted on the Arizona Community College StateSystem website. The Community Colleges submit syllabus and course materials to the systemand the equivalency is
beginning of • Faculty participation/ and develop solu- support and counsel- the school year presentation and tions to enhance the ing. acquaint students interview workshops existing method(s). • Provide scholarships, with departmental, for UG & G• Provide leadership fellowships (offer in college and univer- BHIOM programs in to coordinate Dec/Jan), and grants. sity guidelines. other relevant states. BHIOM of UG & • Tuition waivers. • Acquaint students • Computer orientation G of all depart- • Improve stipends and with
animationshows the assignment of the individual source terms for neutrons traveling in the directionassociated with each ordinate from the collision density and scattering kernel. Intensity ΩN/2 Ordinate Set I0 … On mesh ΩN/2 Ω1 interval i… … Ω1 S1(xi)=ΣsI(xi) Assign s1i,n Neutron given Σs(Ω•Ω’) Beam I(x)=I0e-ΣΣx ≡S1i [n/cm3/s] Figure 2. Animated Illustration
perform? Describe this function. What does it mean? How important is it that your design do this? How do you know? What evidence supports your evaluation of the importance? How will you measure how well your design does this function? How is this function related to other functions? What is an existing means for implementing this function? How do you know? Is this means feasible? Is this means incompatible with identified means for other functions? Which one(s)? What other means might you use to implement this function in your design? Is this means feasible? Is this means incompatible with other
, critical design review,final report, and a formal presentation. Student presentations and final reports are archived foruse as part of the display materials for future accreditation visits.Laboratory setupEach station is equipped with a PC, and GPIB/RS-232 interfaced instruments such as digitalmultimeter, triple output laboratory power supply, arbitrary function generator, and two-channelcolor digital oscilloscope. The instrumentation and data acquisition specific software andhardware are briefly described below.Software: LabVIEW 8.5 from National Instruments7Data acquisition (DAQ) board: Model 6024E from National Instruments8 ‚ 16 single-ended or 8 differential analog input channels, 12 bit resolution, 200 kS/s ‚ 2 analog voltage output
somemeasure of resource modeling in this situation?Via our focus on the individual, we have come to know our students much better than we haveever done before. While this provides us with the knowledge to be better mentors, it alsorequires that we learn to be good mentors. It also amplifies each student’s setbacks andsuccesses.We continue to look forward to these challenges.Bibliography[1] C. Roberts, D. Morrell, R. Grondin, C.-Y. Kuo, R. Hinks, S. Danielson, and M. Henderson, Developing a Multidisciplinary Engineering Program at Arizona State University’s East Campus,” 2005 American Society for Engineering Education Annual Conference and Exposition, Potland, June 2005.[2] William G. Perry, Jr. Forms of Intellectual and Ethical
a similar program. Page 12.893.9 Figure 2: Typical Lesson Plan – Shekar ViswanathanSubject: EHS 301-Air PollutionSubject(s): Effects of Air PollutionDuration: 2 hoursObjectives: 1. Learn Composition and Structure of the Atmosphere 2. Cause of Primary and secondary pollutants 3. Cause and effect of photochemical smogMaterials: • Power Points • Video on Oct 2003 fire and transportation pollution • handwritten notes and web sites (CAL EPA and US EPA)Procedure: • Define the atmosphere in terms of a major chemical reactor (soup) – contents, compositions • Ask the students how the ozone is generated at the
inscience and technology (S&T), innovation, and productivity enhancements. In fields as diverseas education, infrastructure, and information technology, development funds are flowing toengineering expertise that can work with players in developing countries not only to supportconcrete projects, but ultimately to build the local capacity of policy-makers, educators, and theprivate sector, without which the sustainability of any progress is compromised. It is this lattereffort – the process of capacity building and the role of the engineering education sector – that isparticularly exciting for the American engineering education community.This paper will outline the confluence of economic drivers and development challenges thattoday foster
usually limited by theacquisition rate of the data acquisition card and the computing power of the PC, the basicfunctionality can compare with that of more expensive equipment. This lower speed ofoperation and basic functionality is adequate for educational laboratory exercises.In this case, the novel VSA system provides a user interface that has much of the basicfunctionality of standard hardware VSA’s, but with the limitation that bandwidth is constrainedby the 1.25 MSa/s sampling rate of the DAQ. The system provides real-time plots of I/Qconstellation as well as signal spectrum displays. The user interface is described as well asexample laboratory experiments, where students get hands-on experience with a variety ofsignals including BPSK, QPSK
changed work, 4)The way changeorder is compensated, and 5) Extension.As for the interaction variables, the most significant interaction of variables that contribute to theincrease in the contract price due to the change order: 1) Time and (reason of the change (A),approved change order, restricted access, the way the change order is expended, and how thechange order is compensated), 2) Reason (B) and (change order is expended as credit, changeorder is compensated as time and material basis, extension is granted). 3) Reason (D) and (party,way the change order is expended, when the change order is compensated as lump sum).The number of data points used to create this model is 137 data points. The standard deviation(S) achieved is 0.0253270% , R-Sq
entire switchboard in an image and maintain readability of every devicemounted in the switchboard itself. Using this technique, it will be possible to fullycapture an entire switchboard and retain small details with respect to the overall imagedimensions. While exhaustive comparison with other more complex algorithms2,3,4 hasnot been performed, we suspect that, given the simplicity of the algorithm, it uses lessCPU time than its counterparts.Bibliography[1] E. Wasatonic, S. Agili and A. Morales, “Range Determination Algorithm Performed on Mars Exploration Rover Stereo Images,” Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition. Portland, Oregon. June 2005.[2] A. German, M.H. Jenkin, and
designed and incorporated into the existing prints. Because installation of a fullyfunctional temperature monitor device and completion of Unit 3’s annunciator system will mostlikely not occur until mid-2008, a scaled down example of a temperature monitor is used in thisproject for demonstration purposes. The scaled down example successfully demonstrates theoperation of the temperature monitoring process and activation of the alarm and unit trip at settemperature points.Theoretical BackgroundCalifornia’s State Water Project is the largest state-built multipurpose water project in thecountry. With construction beginning in 1957 and continuing indefinitely, it is comprised of 29storage facilities, 18 pumping plants, four pumping-generating plants
project to facilitate student learning of the newsoftware.AcknowledgementsThe author would like to thank the Center for 21st Century Teaching Excellence for their supportof this project through the Innovative Teaching Grant.Bibliography1. DARPA http://www.darpa.mil/mto/mems/presentations/memsatdarpa3.pdf2. Felder, R. M., and Brent, R., “Learning by doing”, Chemical Engineering Education, Vol. 37(4), 2003, pp. 282- 283.3. Hall, S. R., Waitz, I., Brodeur, D. R., Soderholm, D. H., and Nasr, R., “Adoption of Active Learning in a Lecture-Based Engineering Class,” 32nd ASEE/IEEE Frontiers in Education Conference, Boston, MA, 2002.4. Impelluso, T. and Metoyer-Guidry, T., “Virtual reality and learning by design: Tools for integrating
, pp. 411–426, Mar. 2005[4] Singh, G.K.; Kazzaz, S.; Ahmed, S., “Vibration signal analysis using wavelet transform for isolation and identification of electrical faults in induction machine,” Electric Power Systems Research, v 68, n 2, pp. 119- 136, February, 2004[5] Ebrahim, E.A.; Hammad, N., “Fault analysis of current-controlled PWM-inverter fed induction-motor drives,” Proceedings of the IEEE International Conference on Properties and Applications of Dielectric Materials, v 3, 2003, pp. 1065-1070[6] Benbouzid, M.; Kliman, G., "What stator current processing-based technique to use for induction motor rotor faults diagnosis?," IEEE Transactions on Energy Conversion, vol.18, no.2, pp. 238- 244, June 2003[7] G. Strang and T. Nguyen
13.528.6Holderman, Kenneth L. Pennsylvania StateHughes, Walter Franklin Institute, BostonJohnson, Lawrence V. Southern Technical Institute, AtlantaJones, Charles S. (Casey) (Original) Casey Jones School of Aeronautics, ChicagoLohman, Pete Oklahoma StateMaedel, G. F. Academy of Aeronautics, New YorkMarcus, Joe Franklin Institute, BostonMazzola, Mike Franklin Institute, BostonMcCallick, Hugh University of HoustonMetz, D. C. University of DaytonPurvine, Winston Oregon Institute of TechnologyRietzke, E. H. (Original) Capitol Radio Engineering
Learning in the Large IntroductoryPsychology Class,” Teaching of Psychology, 18, 1991.2. Ives, S. M., “Faculty Center for Teaching and e-Learning: A Survival Handbook for Teaching Large Classes,”UNC Charlotte Faculty Center for Teaching, accessed from www.fctel.uncc.edu, December, 2007.3. Felder, R. M., “Beating the Numbers Game: Effective Teaching in Large Classes,” Proceedings of the 1997American Society for Engineering Education Annual Conference, June, 1997.4. Felder, R. M., D. R. Woods, J. E. Stice, and A. Rugarcia, “The Future of Engineering Education II. TeachingMethods that Work,” Chemical Engineering Education, 34(1):26-39, 2000.5. _______, “Engineering Economy: Suggestions to Update a Stagnant Course Curriculum,” Proceedings of the1998
Labor, 2007. http://www.bls.gov/oco/cg/cgs035.htm webpage accessed in January 2008.2. J. Carr and J. Brown, Introduction to biomedical equipment technology, 4th Ed., Prentice Hall, Upper Saddle River, NJ, 2001.3. J. Enderle, S. Blanchard, and J. Bronzino, Introduction to biomedical engineering, Elsevier Academic Press, Burlington, MA, 2005.4. B. Feinberg, Applied clinical engineering, Prentice Hall, Englewood Cliffs, NJ, 1986.5. J. Webster, Medical instrumentation: Application and design, Wiley, New York, NY, 1998.6. J. Bronzino, Biomedical engineering handbook, CRC Press, 2000.7. S. Blanchard and J. Enderle, “Introductory biomedical engineering textbooks,” ASEE National Conference Proceedings, Seattle, WA, 1998
deliverables and presentationbased on criteria listed in Table 5. Table 5. Project Evaluation Form Project Presentation Evaluation Form Faculty Student ME Class: ______________________________ Class Presenter(s): ______________________________ Team Member(s): ______________________________ Project: ______________________________ Presented Date: ______________________________ Rating: Poor (1); Fair
web testing and development, as was shown in Figure 1, or anexternal client can be used to probe both the Windows and Linux web servers, as was also shownin the figure.In addition to functionality, the speed of the portable hard drive was also tested. USB 2.0 isn't asfast as an internal hard drive connection such as ATA, and this interface is the most obviousbottleneck in an externally booted system. USB 2.0 is rated at 60 MB/s, while the Serial ATAdrives common in new desktop computers can reach at least 150 MB/s, depending on whichversion of SATA is being used. While it seems that this speed difference should severely affectsystem performance, the only time that testers noted a difference was during boot time, probablydue to caching. To
. For the non-functionalized alumina, the procedure involves the ultrasonic agitation of composition(s) (%wtof resin weight) of alumina in EPON™ resin. A 500W sonicator with a 20Khz frequency is usedto disperse alumina in the low viscosity resin. Sonication is carried out at 40% maximumamplitude with a unit mass rate of 3-5 mins. / gm of alumina. High amplitude and elongatedsonication can cause localized elevation of temperature in resin. This rate is also higher thanalumina dispersion in water and methanol mixture due to the higher viscosity of the resin system.It is also important to note that mechanical stirring is also carried out during sonicationprocedure to circulate the mixture and to avoid intercalated dispersion. For
., “Retention 101: Where Robots Go … Students Follow,” Journal of Engineering Education, vol. 92, No. 1, January 2003, pp.85-90.2. http://www.darpa.mil/grandchallenge/index.asp, accessed 16 January 2007.3. McCarthy, B., The 4MAT System: Teaching to Learning Styles With Right/Left Mode Techniques: EXCEL, Inc., 1987.4. Kolb, D. A., Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, 1984.5. Harb, J. N., Durant, S. O., and Terry, R. E., “Use of the Kolb learning cycle and the 4MAT system in engineering education,” Journal of Engineering Education, vol. 82, No. 2, April 1993, pp. 70-77.6. Hotaling, L., Sheryll, R., and Stolking, R., “Discovery based learning in the engineering
and suitable vehicles for developing countries.The goal is to assemble these vehicles in small factories in developing countries. IAT hasdonated several vehicles to Honduras and in Africa.2005-2006 BUV challenge given by IAT was to design a 3-wheel vehicle based on the rear-end(i.e. the bed, axle, suspension, wheels, frame, etc) of a small pick-up truck (Chevy S-10, FordRanger, etc) cut near the cab/bed interface. It was also required to design a rear ambulance unitto be attached to the rolling chassis. In addition to cost, design emphasis was on drive train, easeof assembly, durability, serviceability, and the ambulance unit itself. Design for small-scaleassembly operations in the developing worlds that can each produce one vehicle per day
duration) and fuel mixture (air-to-fuel ratio).The TTU vehicle uses a MotoTron ECU555-80 electronic control unit. The ECUcommunicates with the VCS using the CAN bus.Communications between most subsystems in the vehicle is over a CAN (controller areanetwork) bus. This communication is at two separate frequencies, 250Kb/s for the fuelcell, and 500Kb/s for the rest of the vehicle. A National Instruments PXI system is usedto monitor and adjust the various components of the communications system. A blockdiagram of the overall system is shown in Figure 2. Page 12.1079.5 4
unique in their integration intothe Center’s diversity strategic plan, which specifies the goals, commitments, and results for eachpartner campus in the areas of student recruitment and undergraduate program development.Through the CPES Education Program, REU and LSAMP REU participants have theopportunity to apply for short-term travel scholarships, which enable their continuedparticipation in Center-related research during the academic year. This has proved an effectivemechanism for continued engagement of undergraduates in Center programs, and occasionally,for integration of summer research into the student’s undergraduate capstone design project(s).The Center’s consortium format also allows participants from partner universities to establish
and forensic studiesproved to be the most universal activities, developing a wide range of professional skills.After the initial analysis, for the purpose of feasibility of the assessment process, this largenumber of skills was reduced to a manageable number and grouped into ten learning outcomes.The ten outcomes became the subject of the formally accepted assessment process forEngineering Technology programs at CCSU.IntroductionQuality Function Deployment (QFD) technique parallels engineering procedures used forestablishing and examining product and process specifications and performances 1, 2 . Developedin 1970’s in Japan and used in Kobe Shipyard of Mitsubishi Heavy Industries, QFDmethodology stemmed from quality improvement tables and was
classroom environment, which allows for learning of concepts not easilygrasped in a traditional lecture setting.AcknowledgementsThe authors would like to acknowledge the support of the Arizona Space Grant for the fundingof student work on the project.Bibliography1. Gere, J. and Timoshenko, S. Mechanics of Materials, Second Edition. Boston, MA: PWS Publishers, 1984.2. Gere, J. Mechanics of Materials, Sixth Edition. Belmont, CA: Thomson, 2004.3. Mosterman, P.J., Dorlandt, M., Campbell, J.O., Burow, C., Bouw, R., Brodersen, A.J., and Bourne, J.R. “VirtualEngineering Laboratories: Design and Experiments,” Journal of Engineering Education, July 1994, pp. 279-285.4. Feisel, L.D. and Rosa, A.J. “The Role of the Laboratory in Undergraduate Engineering
ensure that we as third level educators are not missing the broader picture of the type ofworld our graduates will we partaking in, it still must be a consideration. Pink in ‘A WholeNew Mind’ 1 comments on how the information age has been dominant in creating a strongeconomic and technological global society. However this is no longer going to remain thedominant age as according to Pink, this type of society can be easily maintained. In a recentnewspaper article the author commented on how 25% of Irelands I.T. jobs are being filled byimmigrants. This is a stark contrast to the 1990’s when I.T. jobs were extremely sought afterand college graduates competed to fill these jobs, certainly excluding immigrants from theequation. The required knowledge