of small water supply systems," IRC International Water adn Sanitation Centre, 1995.3 A. Diallo and D. Thuillier, "The success of international development projects, trust and communication: an African perspective," International Journal of Project Management, vol. 23, no. 3, pp. 237-252, 2005.4 C. Denizer, D. Kaufmann and A. Kraay, "Good Countries of Good Projects? Macro and Micro Correlates of World Bank Project Performance," Macroeconomics and Growth Team, Development Research Group, 2011.5 D. B. Khang and T. L. Moe, "Success Criteria and Factors for International Development Projects: A Life-Cycle-Based Framework," Project Management Journal, vol. 39, no. 1, pp. 72-84, 2008.6 B. Amadei and R. Sandekian
IDEO team working together on aconceptual design of an innovative shopping cart is used in class to show that this innovativecompany: a) uses teams of people with diverse backgrounds, including many non-engineers; b)awards failures (to encourage risk taking); c) values ideas over status or title; and d) discouragesnegative idea-stopping comments (since crazy ideas often spur innovate yet feasible approaches). Next to diversity, time pressures have proven to be the next biggest challenge to development oftrue teamwork and team skills. The fact that teams exist to accomplish a task or a projectprovides a constant temptation to be project-centered rather than team-centered. It is obviouslynecessary that most team time and resources are directed
semester. Plans are underway to create more hands-on projects for the fundamental Matlab course. These may or may not require the tetheredArduino controllers, but will require students to build models based on computational analysis.References[1] Dunne, B., Blauch, A., Sterian, A. (2005). The Case for Computer Programming Instructionfor All Engineering Disciplines. Proceedings of the 2005 American Society for EngineeringEducation Annual Conference &Exposition[2] Hall, D., H. Hegab, and J. Nelson. (2008) Living WITH the Lab - A Freshman Curriculum toBoost Hands-on Learning, Student Confidence and Innovation. ASEE/IEEE Frontiers inEducation Conference. Saratoga. Springs, NY. October 22-25, 2008, IEEE.[3] McKnight, S., Tadmor, G., Ruane, M
demonstrate differences in team performance for simulations and real robotexperiments. While simulations are good for quicker testing and a cheaper solution thanpurchasing equipment, conducting experiments with real robots allows for more accurate results.In physical experiments, there are many factors, such as robot interference, an unknownenvironment, and delayed communications, which can influence results. However, running realexperiments are required to accurately test the efficiency of an approach. Future work includesexamining these factors further.Bibliography[1] S. Dawson, B. L. Wellman, and M. Anderson, “Using simulation to predict multi-robot performance on coveragetasks,” in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ
DesignLaboratory course. Do you think it is important to involve undergraduate students, like yourself,in the design and building of laboratory equipment? Please elaborate on the positive and negativeaspects.Q8 Would you support, financially and/or providing donations, senior design projects at the Page 23.1099.15University of Alaska Anchorage assuming you are in a position in a company which allows youto make such decisions? Yes Maybe NoQ9 Please use the space below to add any additional comments. Thanks!Bibliography1. Bidana, B., and Billo, E.R., “On the Use of Students for Developing Engineering Laboratories,” Journal of Engineering Education, pp
also provide opportunity for entertaining Page 23.780.6interactions (e.g., “Oscar Awards” for best films presented in class).Assessment of MethodologyAssessment of project activities has been conducted using a) peer evaluation of student work, b)the Felder-Silverman Learning Style Dimensions, c) student surveys, d) focus group videoconferences between students and two external assessment consultants, and e) analysis of studentwork products.A rubric was developed for peer review, ranking oral presentations and videos when presented tothe class. The peer review process required students to actively participate in the presentations astheir
: Jossey-Bass12 Tinto, V. (2001). Rethinking the first year of college. Higher Education Monograph Series, Syracuse University.13 Upcraft, M., Gardner, J., & Barefoot, B. (Eds.), (2004). Challenging and Supporting the First-Year Student: A Handbook for Improving the First Year of College. San Francisco: Jossey-Bass.14 Cuseo, J. (2005). “Decided,” “undecided,” and “in transition”: Implications for academic advisement, career counseling & student retention. In R.S. Feldman (Ed.). Improving the first year of college: Research and practice. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers15 Somers, P., Woodhouse, S., & Cofer, J. (2004). Pushing the boulder uphill: The persistence of first-generation
sessionfor this study. For the first half of the judgment session of the study participants wereprompted to comment on their judgements by researchers asking non-invasive question.For example; “What did you like about this portfolio?” “Why did you choose Portfolio A instead of B?” “What was your initial reaction to the portfolio?”For the second half, participants were encouraged to independently comment both con-currently and retrospectively when making judgements. A content analysis was used toanalyse the commentaries and to extrapolate the qualities that judgments were being made on.A focus group discussion was held after the judgements had taken place. This provided aricher insight into participant’s cognition during the
Press, 2004.3. The National Academy of Engineering. Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: The National Academy Press, 2005.4. J.J. Duderstadt. Engineering for a Changing World: A Roadmap to the Future of Engineering Practice, Research, and Education. The Millenium Project: Ann Arbor, MI, 2008.5. The Boeing Company and Rensselaer Polytechnic Institute (RPI). A Manifesto for Global Engineering Education: Summary Report of the Engineering Futures Conference, Seattle, WA, January 22–23, 1997.6. GlobalHUB - Newport Declaration (2008) Retrieved January 7, 2013, from http://globalhub.org/newportdeclaration.7. B. K Jesiek, and K. Beddoes. From diplomacy and
, sinceprogramming would be the medium for solving the engineering design problem. The studentswere able to learn the big ideas for developing applications first, and then cover the small detailsto improve their work (reverse of traditional teaching). The synergy between the design projectand the technical learning was felt in other courses as well, e.g. image processing. Table 1 showsproject-related competencies which each team member enrolled in.Table 1. Project related competencies enrolled by each team member Student A Student B Student C Signal Processing Image Processing Signal Processing Image Processing Advanced Instrumentation Image
a. Model without lower truss deck, while the second model included lower trusses. Handles were placed on one end of each model, which allows visitors to twist the decks and feel the difference in stability. Gavin Daly produced another component to demonstrate how winds can dynamically affect structures. The research associated with this component was complex and resulted in b. Model with lower truss his Master’s thesis. And finally, Tara Wigandproduced a galvanic corrosion study used todetermine the appropriate material for
, and water supply issues), which will help to bring about an awareness of realistic problems that exist in today’s ever changing global economy. Example Standard - Pennsylvania 3.4.6.B: Describe how economic, political, and cultural issues are influenced by the development and use of technology. (grade 6)"" Page 23.1234.9""" A well-designed K-12 engineering education should expose students to the ethical considerations inherent in the practice of engineering. They have the responsibility to use
. Page 23.950.4 At the Freshman level, students will perform a mass balance on an oxygenator. In a sophomore mate-rial balances course, students will perform mass balances on the oxygenator, deoxygenator, and the over-all system. In a junior fluid mechanics course, students will characterize the rheology of the blood ana-logue (see blood module), measure the pressure drop across the oxygenator and compare it to the pre-dicted for a shear-thinning fluid. In the same course, students will determine the friction factor and com-pare it to that for water. In a ChE mass transfer course or a ME transport course, students will obtain acorrelation for the mass transfer coefficient in the form Sh = aRe b
density functions usingthe maximum likelihood method. This made it possible to quantify the observations made in thechart. The results are shown in Table 2. Persisters Non-Persisters Institution Scale (m) Shape Scale (m) Shape A (53%) 15.99 0.46 7.73 0.59 B (38%) 6.43 0.74 3.47 0.81 C (50%) 41.67 0.58 14.29 0.65 D (31%) 13.26 0.68 4.50 0.77 E (57%) 37.74
in the application of the rubric to future transcripts. The generaldecision rules are found on the first page of the rubric, which is located in Appendix B. Scoringrules per ABET skill are located on the corresponding ABET skill page in the rubric. Thesescoring aides allowed the research team to have only two research participants score each of thesubsequent transcripts. By reducing the number of participants, scoring time was reduced toapproximately 2 hours per transcript (2x45 minutes of scoring by individual raters + 30 minutesof sharing scores and forming consensus). The subsequent scores are shown in Table 6 whereraters produced a singular consensus score. This effort has produced a number of best practicesfor annotating transcripts
, Appendix 1-A), an electronic dice (brings the randomness to the game; free fromInternet, Appendix 1-B) and an engine (Excel spreadsheet created specifically for this game,Appendix 2). The engine has all the formulae for each of the game board landings in terms ofwater usage, energy consumption and emissions (per EPA and southern California standards).On the very first class, the game was deployed on several laptops. After a brief introduction bythe instructor, students actually got to play the game and see the results. This put the students in amore comfortable position that game design and play is doable to demonstrate practical aspectsof Sustainability in line with the course learning outcomesGiven were the three home owners with their current
, 1988, pp. 38-43.3. Pierce, C.E., Caicedo, J.M., and Flora, J.R.V. “Engineering EFFECTs: Strategies and Successes in Introduction to Civil Engineering,” 4th Annual First-Year Engineering Education (FYEE) Conference, 2012, Pittsburgh, PA, pp. F2B1-6.4. Pierce, C., Caicedo, J., Flora, J., Timmerman, B., Graf, W., Nichols, A., and Ray, T. “Engaging Students in Critical Thinking: An Environmental Engineering EFFECT,” ASEE Annual Conference & Exposition, AC 2010-1752, 2010, 10 pp. Page 23.1315.45. Wait, I.W., “Solar Power System Design to Promote Critical Thinking in Freshman Engineering Students,” ASEE
been re-programmed completely.The core idea behind iJDSP and AJDSP is the idea of using smartphones as: a) calculators tosolve signal analysis exercises, b) instruments to perform labs, and c) as dashboards todisplay/plot data and parameters. The i-JDSP has been developed using the Xcode IDE providedby Apple and the AJDSP has been programmed in the Android SDK, a Java based open sourceprogramming platform. Similar to J-DSP, the functions in iJDSP and AJDSP are available asgraphical blocks that can be added to the main simulation view. They have been designed toprovide maximum simulation space with minimum navigation. Both the versions support allbasic signal processing functions in an intuitive touch-based programming environment. TheiJDSP
performance of the biodieselto operating equipment pertaining to agriculture, engineering, and the environment; and how toevaluate information from a global perspective to present a picture of the biofuels movement, itssuccesses, its historical failures, and its achievable goals within the next few decades (Figures4a-b).Figure 4a. BioPro 190 at the UMES Figure 4b Biodiesel making process in laboratoryBiodiesel facility for making biodiesel from virgin oilsfrom waste cooking oilA field trip to a local biodiesel company in Princess Anne, MD, is conducted where theparticipants are able to see how waste vegetable oil collected from restaurants, cafeterias,and other places is filtered, dewatered, and processed into
4% Hispanic 4% (a) (b)Figure 3 Results of demographic survey of students from Dynamic course of (a) spring and (b) summer semesters of 2012 Page 23.1354.10 Class Standing Class Standing 74% 34% Sophomore Sophomore 53
quantitative descriptive design based on survey methodology, which usesinstruments such as questionnaires to collect information from one or more groups of subjects.28In the fall 2012 and spring 2013 semesters, a total of 195 engineering students from twoMidwestern private universities were sampled to determine their learning strategy preferencesusing the ATLAS instrument. The surveys were completely voluntary and anonymous. Thesample from University A was representative of the entire population as the data were collectedduring an engineering seminar course required of all engineering students. The sample fromUniversity B was not representative of the population where cluster sampling was done during amonthly meeting of chemical engineering students
. Reis, "Production Programming in the Classroom", Proceedings of the ACMSIGCSE Conference, Reno, Nevada, February 2003.[2] S. Gorka, J. Miller, B. Howe, "Developing Realistic Capstone Projects in Conjunction with Industry", Proceed-ings of the ACM SIGITE Conference on Information Technology Education, Destin, Florida, USA, October 2007.[3] D. Lange, R. Ferguson, P Leidig, "An Update on the Use of Community-Based Non-Profit Organizations in Cap-stone Projects", Proceedings of the ACM SIGCSE Conference on Innovation and Technology in Computer ScienceEducation, Darmstadt, Germany, June 2011.[4] M. Murray, "Implementing a Software Development Production Environment for Student Use: Advantages andChallenges", Journal of Computing Sciences in Colleges
not dothis immediately. Instead, the conversation takes off in the direction of proposing features for anabove-bed storage device. About two minutes in, after several options for storage access havebeen voiced, PST F notices the post-it notes and asks if they should write on them. Four out ofthe six group members do so at this point. The resulting post-it notes say “Locker Safe,” “built inchest w/keypad,” “high cubby/door; sliding drawers,” and “crawl space over bed w/removableladder.” A discussion of the “chest w/ keypad” idea leads PST B to decide the product should becalled “Chameleon Safe.” After PST F reminds the group that a solution has to be pitched to therest of the class, they brainstorm options for the safe’s locking mechanism. PST
-20.8. Jerrard, R.B., Drysdale, R.L., Hauck, K., Schaudt, B., Magewick, J., “Methods for detecting errors in sculptured surface machining”, IEEE Computer Graphics and Applications, Vol. 9 (1), 1989, pp. 26-89.9. Oliver, J., Goodman, E.D., “Direct dimensional NC verification”, CAD, Vol. 22 (1), 1990, pp. 3-10.10. Ong, S.K., Jiang, L., Nee, A. Y. C., “An Internet-Based Virtual CNC Milling System”, International Journal of Advanced Manufacturing Technolology, Vol. 20, 2002, pp. 20–30.11. Wang, X., Zheng, P., Wei, Z., Sun Y., Luo, B., Li, Y., “Development of an Interactive VR Training for CNC Machining”, VRCAI 2004 - ACM SIGGRAPH, International Conference on Virtual Reality Continuum and its Applications in Industry, pp. 131-133.12. He
, combustion testing, flares, process heaters, processburners, flare gas recovery, metallurgy, and equipment fabrication. Some instructors taughtmultiple topics. Each topic was covered in one or two 75-minute face-to-face sessions taughttwice a week at the local university. Two of the sessions, combustion testing and equipmentfabrication, were held at the industrial company where students were given a lecture and then atour of world-class combustion testing and manufacturing facilities (see Figure 1), respectively.All lectures including the tours were video-taped and uploaded to a server at the remoteuniversity for their students to watch at their convenience. (a) (b)Figure 1
Economics, 18(1/3), 13–40.Barringer, B. R. (2009). Preparing Effective Business Plans: An Entrepreneurial Approach. Upper Saddle River, NJ: Pearson Prentice Hall.Barringer, B. R., & Ireland, R. D. (2010). Entrepreneurship: Successfully Launching New Ventures. Boston: Prentice Hall.Blank, S., & Dorf, B. (2012). The Startup Owner’s Manual: The Step-By-Step Guide for Building a Great Company. K & S Ranch.Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. New York: Longman and Green.Bowker, G. C., & Star, S. L. (1999). Sorting Things Out: Classification and Its Consequences. Cambridge, MA: MIT
Paper ID #6672Simulation of FACTS Devices as Reactive Power Compensators and VoltageControllers in the Smart GridRamadan Elmoudi, University at Buffalo Ramadan Elmoudi (IEEE Student M’10) received the B.Sc. degree and the M.Sc. degree in electrical engineering in 1996 and 2007 respectively from Misrata Institute of Industry and Academy of Graduate Studies, Tripoli, Libya, respectively. He has over 10 years of industrial experience in National Power Sector beside his work as a developer of automation systems in different disciplines. Currently he is pursuing the Ph.D. degree in electrical engineering in U B (SUNY
withInkSurvey, one can see how student thinking changes over time. The example comes fromapplication of the standard deviation of the mean, all done in one class period in an engineeringphysics course. The students were given the problem that Jack was caught with 100 beans in hispocket in a small town. There is only one store that sells beans and we know the massdistribution of those beans. Questions A and B deal with this application of the distribution ofmean values.Question A: How would you know if Jack stole those beans from the town store? The particularstudent we are following submitted this response:In this response, the student does not utilize the mass distribution of the means for groups of 100beans, but rather uses the distribution of
Continuing Engineering Education and Life-LongLearning 15(3-6):252-260.10 Allert, B. I., D. L. Atkinson, E. A. Groll, and E. D. Hirleman. 2007. Making the Case for GlobalEngineering: Building Foreing Language Collaborations for Designing, Implementing, and AssessingPrograms. Online Journal for Global Engineering 2(2):1-14.11 Lehrer, J. 2011. Sunset of the Solo Scientist. Wall Street Journal (February 5). Page 23.860.412 Kligyte, V., R. T. Marcy, S. T. Sevier, E. S. Godfrey, and M. D. Mumford. 2008. A QualitativeApproach to Responsible Conduct of Research (RCR) Training Development: Identification ofMetacognitive Strategies. Science and
, calling a functionrecursively is a distant concept. Yet, the modified flood fill algorithm uses the followingrecursive steps to update the neighboring cells 6:1. Push the current cell location (x,y) onto the stack.2. Repeat this step while the stack is not empty. a. Pull the cell location (x,y) from the stack. b. If the minimum distance of the neighboring open cells, md, is not equal to the present cell’s distance - 1, replace the present cell’s distance with md + 1, and push all neighbor locations onto the stack.To assist the students in learning this algorithm, we rely on visual aids – PowerPoint slideswhich animate the distance updates and stack contents. Each slide will show the distance updatefor a particular cell and the state