with demonstrable function (s). The designer presented sensible strategies for measuring the function (s) including uses of appropriate statistical tools. Extra point: Voted best design by the class (optional).The goals for this design challenge were to 1. learn to use a laser cutter, a relatively simple machining tool 2. learn to define and demonstrate function of an artifact 3. learn to measure functional performance using statistical tools Page 22.1596.4 4. learn to work within specific constraints (amount of material and shapes of basic building blocks
hydrolizes myelin glycoprotein6. Buanol via co-fermentation of T. Resei, R. erythroplis and immobilized C. beijerinckii.7. Expression of thermostable scaffoldin protein in S. solfataricus8. Site-directed mutagenesis of oxygen diffusion pathways in C. reinhardtii hydrogenase for enhanced oxygen tolerance9. Phototrophic biocathode for enhanced biomass photosynthesisMaterials-related10. Photon modulated On/Off switch via light oxidative voltage (LOV) protein.11. Organic solar cells via combined nanotube-bulk polymer heterojunctions12. Cation-exchange membrane formation via film forming and hot press lamination13. Increasing the efficiency of self-healing polymers14. Lithium ion battery electrolytes for low temperature
length using single-sided razor blades (never double-sided razors). More recently, aPCB milling machine has been employed to take direct CAD layouts and put them directly to theFR-4. In both schemes, pass band insertion losses of less than 0.2dB and stop band rejections ofgreater than 50dB are easily obtained using both techniques. The students then use an HP-8510BAutomatic Network Analyzer to measure the S-parameters of their final prototype and comparewith the original set of specifications. Figure 2 shows examples of two 3rd order commensurateline filters using both techniques. Page 22.1190.3Figure 2: Examples of student-designed nominal
modeling capability, productdatabases, validation, and economic analysis. All software tools provide effectivemodeling and simulation capabilities suitable for class room use.Bibliography[1] Department of Energy, “Annual Energy Outlook 2009,” 2009.[2] Fay, J. A., and Golomb, D. S., “Energy and Environment,” Oxford University Press, 2002.[3] Kutz, M., “Environmentally Conscious Alternative Energy Production,” John Wiley & Sons, 2007.[4] Hodge, B. K., “Alternative Energy Systems and Applications,” John Wiley & Sons, 2010.[5] Aung, K., “Design Exercises and Projects for Energy Engineering,” Proceedings of the 2005 ASEEAnnual Meeting & Exposition, Portland, Oregon, June 2005.[6] Gilman, P., Blair, N., Mehos, M., Christensen, C., Janzou, S
causes frustration for students is moving easily between verbal, symbolic, andgraphical representations. This represents a major challenge to students, especially in theirphysics classes. A quick look at a typical physics books used at TAMU14 reveals that almost allthe problems are presented verbally, although pictures are used on occasion. This is also the casewith optimization problems in calculus, which are often used as applications of the derivative.Often, students do not have any major difficulty in carrying out the mathematical manipulations.Rather, they struggle to convert the verbal description into a mathematical description. Studentsare unable to answer questions such as: 1. What is(are) the variable(s) of interest? 2
hydrolizes myelin glycoprotein6. Buanol via co-fermentation of T. Resei, R. erythroplis and immobilized C. beijerinckii.7. Expression of thermostable scaffoldin protein in S. solfataricus8. Site-directed mutagenesis of oxygen diffusion pathways in C. reinhardtii hydrogenase for enhanced oxygen tolerance9. Phototrophic biocathode for enhanced biomass photosynthesisMaterials-related10. Photon modulated On/Off switch via light oxidative voltage (LOV) protein.11. Organic solar cells via combined nanotube-bulk polymer heterojunctions12. Cation-exchange membrane formation via film forming and hot press lamination13. Increasing the efficiency of self-healing polymers14. Lithium ion battery electrolytes for low temperature
. J. R. Armstrong and F. G. Gray, "Fault Diagnosis in a Boolean n Cube Array of Microprocessors," IEEE Trans.on Comput., vol. C-30, pp. 587-590, Aug. 1981.2. P. Banerjee et al., "An Evaluation of System-Level Fault Tolerance on the Intel Hypercube Multiprocessor,"Proc. 18th Int'l Symp. on Fault-Tolerant Computing, pp. 362-367, 1988.3. K. Y. Chwa and S. L. Hakimi, "On Fault Identification in Diagnosable Systems," IEEE Trans. Comput., vol. C-30, pp. 414-422, June 19814. A. T. Dahbura and G. M. Masson, "An O(n2.5) Fault Identification Algorithm for Diagnosable Systems," IEEETrans. Comput., vol C-33, pp. 486-492, June l984.5. A. T. Dahbura, "System-Level Diagnosis: A Perspective for the Third Decade" Tech. Rept. AT&T Bell Labs.,1987.6. E
drawingsStudy school Unknown- depicting Male Female grade(s) gender personas engineers engineers engineersKnight &Cunningham9 3 – 12 189 21% 13% b 66%(2004) aFralick et al.7 3–8 526 69% 19% 12%(2009) aKaratas et al.8 6 20
numbering and language of the current version will be used.Although the ASCE member’s original indictment alleged false testimony before a grand jury,suggesting a violation of canon 3’s mandate to “issue public statements only in an objective andtruthful manner,” the CPC felt that the swift dismissal of the indictment and the member’ssubsequent assistance to the grand jury made it difficult to support a violation of that canon.Instead, the committee focused on the member’s confession that, at his supervisor’s direction, hehad falsified his time sheets to inflate the hours reported as time spent on the public project.Canon 4 of the code says that “engineers shall act in professional matters for each employer orclient as faithful agents or trustees
result, using inexpensive deposition equipment, students weresuccessful at constructing working OLEDs.Bibliography1 For details see The Royal Swedish Academy of Sciences website, www.kva.se.2 Recombination radiation in anthracene crystals, W. Helfrich and W. G. Schneider, Phys. Rev. Lett., 14, 229- 231 (1965).3 Organic Electroluminescent Diodes, C. Tang, and S. VanSlyke, App. Phys. Lett., 51, 913-915 (1987).4 Light-emitting diodes based on conjugated polymers, J. H. Burroughes, D. D. C. Bradley, A. R. Brown, R. N. Marks, K. Mackay, R. H. Friend, P. L. Burns, and A. B. Holmes, Nature, 347, 539–541 (1990).5 Bringing science policy into the optics classroom: Solid state lighting and United States lighting standards. S. K
: A North American perspective. International Journal for Educational Integrity, 1(1), 2/16/2010. Retrieved from http://www.ojs.unisa.edu.au/index.php/IJEI/article/view/147. McCabe, D. L. (1997). Classroom cheating among natural science and engineering majors Science and Engineering Ethics, 3(4), 433-445. doi:10.1007/s11948-997-0046-y8. Rimer, S. (2003). A campus fad that's being copied: Internet plagiarism seems on the rise. New York Times Online, Retrieved from http://www.nytimes.com/2003/09/03/nyregion/a-campus-fad-that-s-being-copied- internet-plagiarism-seems-on-the-rise.html?pagewanted=19. Whittington, J. & Colwell, J. (2009). Should a cyberethics class be required?: Plagiarism and online learning
are those ofthe authors and do not necessarily reflect the views of the National Science Foundation. Page 22.241.8References[1] ABET (2005). Criteria for accrediting engineering programs effective for the evaluations during the2006-2007 accreditation cycle. The Engineering Accreditation Board for Engineering and Technology.http://www.abet.org/eac/eac/htm.[2] National Academy of Engineering (2005). Educating the Engineer of 2020: Adapting EngineeringEducation to the New Century, Washington D.C.:National Academy Press.[3] Schaffer, S., Chen, X., Oakes, W. (2010). Measuring cross-disciplinary team learning inundergraduate project design
/faculties/ppsw/2005/m.p.j.van.der.gaag/.3. Dika, S. L. (2003). The effects of self-processes and social capital on the educational outcomes of high school students, Educational Research and Evaluation (Vol. PhD, pp. 210). Available from http://scholar.lib.vt.edu/theses/available/etd-05012003-162439/unrestricted/etd.pdf.4. Van Der Gaag, M. P. J., & Snijders, T. A. B. (2003). A comparison of measures for individual social capital. Paper presented at the Creation of and Returns to Social Capital. Retrieved from http://www.xs4all.nl/~gaag/work/comparison_paper.pdf.5. Van Der Gaag, M. P. J., & Snijders, T. A. B. (2005). The resource generator: social capital quantification with concrete items. Social Networks, 27(1), 1-29
Engineer of 2020: Visions of Engineering in the New Century, The National Academies Press.8. Nguyen, D. (1998). The Essential Skills and Attributes of an Engineer: A Comparative Study of Academics, Industry Personnel and Engineering Students. Global Journal of Engineering Education, 65-76.9. McIlwee, J.S. and Robinson, J.G., (1992) Women in Engineering: Gender, Power, and Workplace Culture, Albany, NY: State University of New York Press.10. Hyde, J. S., (2005) The Gender Similarities Hypothesis, American Psychologist, 60(6), pp. 581-592.11. Deno, J., (1995) The Relationship of Previous Experiences to Spatial Visualization Ability, Engineering Design Graphics Journal, pp. 5-17.12. Sorby, S.A., (2001) A Course in Spatial
-averageperformance for example, in a prerequisite course). In this case, a negative correla-tion between website use and final exam performance would not determine a negativeeffect. For this reason, Cramster website use was first compared with common mea-sures of students’ skills entering the course to determine whether a lack of preparationcaused a predisposition for website use. Scores on both the SAT Math test and thefinal exam of the prerequisite course were normalized; the Z score for a given student’sexam, s, is calculated by normalizing the deviation from the mean by the standarddeviation, or s−µ Zs = . (1
-semester EngineeringStudents and its Implementation in a Large Introduction to Engineering Course,” ASEEConference Proceedings, pp. 10135-10139, 2004.4M. Grimheden, “From Capstone Courses to Cornerstone Projects: Transferring Experience fromDesign Engineering Final Year Students to First Year Students,” ASEE Conference Proceedings,AC 2007-1582, 2007. Page 22.401.85 S. Ekwaro-Osire, J. J. Mendias III, and P. Orono, “Using Design Notebooks to Map Creativityduring Team Activities,” Proc. FIE Conference, 2009.6 H. Hassan, “Creativity and Innovation for Electrical and Computer Engineering Research,”Proc. ASEE Annual Conference, 2004.7 A. J. Wilkinson, R
a 10-Likert scale from Page 22.454.4zero to 100 rather than a 5-point Likert scale, because it is a stronger predictor of performanceand students, the population of interest, have a comfort level in being scored in school on a 100-point scale.5 Finally, the scale was modified in order to identify the impact of their serviceexperience(s) relative to their traditional (i.e., non-service-learning) coursework simultaneously.This was accomplished with a double-sided scale where the extremes represent 100% for oneintervention and 0% for the other intervention Example: 10CL/90SE = 10% from coursework learning/90% from service experienceA
toolswithout adding to an already packed curriculum.Bibliography1. Agogino, A., Shi, S., “Scaffolding Knowledge Integration through Designing Multimedia Case Studies of Engineering Design,” Proceeding of the ASEE Frontiers in Education conference, pp. D1.1-1.4, 1995.2. Ault, H. K., Scott, K. E., “Integrating Solid Modeling into an Existing CAD Course”, Proceedings of the 1991 Mid-Year Meeting of the Engineering Design Graphics Division of ASEE, November 2-5, 1991, Norfolk, Virginia, pp. 51-57.3. Barr, R. E. and D. Juricic, “Development of a Modern Curriculum for Engineering Design Graphics”, Engineering Education, vol. 81, no. 1, 1991, pp. 26-29.4. Barr, R. E. and D. Juricic, “Survey Results – EDG Curriculum Modernization Project
, J., “Using Java to Develop Interactive Learning Material for the World Wide Web,” Session 3268, 1996 ASEE Annual Conference Proceedings.6. Alam, J., and Rencis, J. J., “Use of Internet in Information Content Creation and Delivery for Promoting Active Cooperating Learning,” Session 2220, 1997 ASEE Annual Conference Proceedings.7. Kumar, S., Walker, J., Jalkio, J. A., and Rehn, R. A., “Distance Learning, an Enabling Approach in Acade- Page 4.337.11 mia/Industry Partnerships,” Session 2522, 1997 ASEE Annual Conference Proceedings. 118. Evans, E. A., and Murray, S. L
).• What learning content/activities should have been (but were not) incorporated into your major/minor? List at least five (5) and use an extra sheet if necessary.• Would you or someone in your organization be willing to serve on a technical program advisory committee? Please provide complete contact information.• The following list presents a number of concept/knowledge/skills areas that may or may not have been important to you on the job in your career to date. Please indicate with a (x) as to your opinion for each. Use your actual job(s) responsibilities as a guide (a listing of concept areas and skills are provided along with choices: yes/no/no opinion).VIII. Portfolios for AssessmentEducators in a variety of fields
., “Photoelasticity in the Printer Industry,” Proceedings of the Society for ExperimentalMechanics Conference and Exhibition, Milwaukee, Wisconsin, 1991.3. Gambrell, Jr., S. C., “Use of PhotoStress Techniques to Characterize the Mechanical Behavior ofWeldments,” Proceedings of the Society for Experimental Mechanics Conference and Exhibition, LasVegas, Nevada, 1992.4. Finlay, J.B. and Little, E.G., “Photoelasticity as a Tool in Orthopedic Research,” Proceedings of theSociety for Experimental Mechanics Conference and Exhibition, Dearborn, Michigan, 1993.5. Slaminko, R., “Contributions of Photoelasticity to the Development of Boeing 777,” Proceedings of theSociety for Experimental Mechanics Conference and Exhibition, Dearborn, Michigan, 1993.6. Allison, I.M
engineering education".Proc. of the ASEE/IEEE Frontiers in Educ. Conf., Nashville, TN, Nov. 11-15, 1992, pp. 480-488.2. H. A. Smolleck and D. S. Dwyer, "A comprehensive interactive microcomputer capability for demonstrating acmachine operation", IEEE/PES Paper 90 SM 400-2 PWRS; IEEE Trans. PAS, Vol. 6., No. 3 (August 1991), pp. 1305-1314.3. H. A. Smolleck and D. S. Dwyer, "Demonstration of ac machine behavior through interactive color graphics", IEEETrans. CAP, Vol. 3, No. 4 (October 1990), pp. 49-53.4. H. A. Smolleck, "A simple revolving-field demonstrator for the Personal Computer", IEEE Trans. Educ., Vol.31, No. 2 (May 1988), pp. 119- 123.5. L. M. Rust, H. A. Smolleck, and D. S. Dwyer, "Some applications and observations on the use
transition matrix in this table shows that cars traveling southbound on segment A (A/S) can either turn and travel eastbound C on segment B (B/E) or westbound on segment C (C/W), etc. Cars traveling away from the intersection enter the Regeneration State. This state returns proportion RA of the cars to the system on A/S etc. Page 4.468.5 Traffic Intersection Transition Matrix States A/N A/S B/E B/W C/E C/W Regeneration A/N 0 0 0 0 0 0 1
technology courses. The faculty internships andindustry site visits provided the technical material for the cases. It was throughthis collaboration that we have arrived where we are today—designing case study“kits” containing actual cases and materials to educate faculty on casedevelopment and implementation in technological education.Bibliography1. Ballance, C., House, C., Jackson-Jones, M., & Rogers, S., (eds.). Summary Proceedings from the Tennessee Exemplary Faculty for Advanced Technological Education Project. (1998).2. Greenwood, C. & House, C., (eds.). Guidebook for Developing Faculty Internships. Compiled by the Tennessee Exemplary Faculty for Advanced Technological Education Project. (1998).Biographical
Session 2548 Using Modeling Software for Environmental Engineering Technology Steven S. Schneiderman Murray State UniversityABSTRACT An environmental modeling course allows students to develop software utilizationcapability through three stages. In the primary phase students become accustomed to thecapabilities of spreadsheet and statistical packages. In the intermediate phase studentscreate personal models using mathematical and analytical programs. Finally, students areexposed to industry modeling packages. Each phase is dedicated toward utilizing themodels to depict instantaneous conditions and as
[Gri97] Grisham, J, “Students Rate Science, Hands-on Learning High,” Chemical and Engineering News, p. 62, 5 May (1997).[Hes96] Hesketh, R.P., “Wake-up to Engineering”, Chemical Engineering Education, 30, 210, 1996.[Hes97a] Hesketh, R. P., K. Jahan, A. J. Marchese C. S. Slater, J. L. Schmalzel, T. R. Chandrupatla, R. A. Dusseau, “Multidisciplinary Experimental Experiences in the Freshman Engineering Clinic at Rowan University,” Proceedings of the 1997 ASEE Annual Conference, 1997.[Hes97b] Hesketh, R. P. and C. S. Slater, “Demonstration of Chemical Engineering Principles to a Multidisciplinary Engineering Audience,” Proceedings of the 1997 ASEE Annual Conference, 1997.[Hes98] Hesketh, R. P. and C. S. Slater, “Chemical Engineering
and launching satellites and spares, satellite control facilities, some of the groundcommunication network and developing the users’ phones is formidable ranging from U.S. $2.5billion to 5 billion, while regional systems are closer to $1 billion8.Telephone and cable companies are testing and rolling out more and more fiber optic networks.Utility companies are stringing fiber optic cable in anticipation of offering new communicationservices. The cost to develop the major portions of Africa ONE project is estimated to be $2.6billion. In the U. S. an establishment of fiber optic data networktechnology on board the nation’s newest aerospace platforms is achieved. The trend of theaerospace industry demands higher cost-performance products in
proficiency testingby computer is commonplace. There is virtually no potential student any place in the world or inany lifestyle condition who cannot be accessed, instructed and evaluated electronically via a phoneconnection and computer, and at increasingly affordable prices. In todayÀs marketplace, access tocomputers and on-line services is more a matter of choice rather than cost, meaning thatsocioeconomic status is not a deterrent to having access to technology. Virtual universities, whichtake full advantage of this new computing environment, hold the promise to revolutionizeeducation delivery in the 21st century.During the 1996-2006 decade, employment in science and engineering (S&E) occupations isexpected to increase at more than three
4.21 4.22 1=none , 5 = considerable CAD improvement 1.43 3.39 1=none , 5 = considerable Level of motivation 3.93 4.11 1=low, 5 = high Level of structured environment 2.36 2.22 1=fle xible , 5=structured How prepared do you feel 3.29 3.22 1=not, 5=very pre pare d Overall course value 3.86 4.22 1=low, 5=high Preference of lecture vs activity based delivery Both course s strongly pre fered activity base d delive ry
appropriate stage(s) of construction. You need to get permission tohave access to the site and have the weather cooperate.Once the photograph has been obtained, it will need to be scanned, saved in a digital format andmanipulated in to is final form. Some questions that need to be answered are; “What digitalformat (gif, tif, jpg, etc.)?”, “What bit size (number of colors)?” and “What is the size of thewindow in which it will be presented?”. All this work is necessary for just one image. To finallyget the photograph into its final form can take several steps, each using a different softwarepackage. Before the actual software development for this project began, over 500 photographswere taken during the construction of several buildings on campus and