Engineering, as well as STEM. The collaboration Page 23.811.9platform provides the opportunity for the program to advertise to the community, as well as helpsthe middle school teachers and students understand the nature of CPEG program, which furtherwill benefit the program’s recruitment in the future.References[1] W. Dann, S. Cooper, and B. Ericson, “Exploring Wonderland: Java Programming Using Alice and Media Computation,” Prentice Hall, 1st edition, ISBN: 0136001599. [2] S. Cui, Y. Wang, F. M. Nave, and K. T. Harris, “Teach Computer Techniques through Multimedia,” Proceedings of the
/courses/economics/14-384-time-series-analysis-fall-2008/index.htm2 Michigan Engineering. 2013. Industrial and Operations Engineering Courses. Retrieved February 1, 2013, from http://www.engin.umich.edu/bulletin/ioe/courses.html3 Pennsylvania State University. 2012. Applied Time Series Analysis. Retrieved February 1, 2013, from https://onlinecourses.science.psu.edu/stat510/4 The University of Arizona. 2013. Applied Time Series Analysis. Retrieved February 1, 2013, from http://www.ltrr.arizona.edu/~dmeko/geos585a.html5 S. S. Rao. 2008. A Course in Time Series Analysis. Retrieved February 1, 2013, from http://www.stat.tamu.edu/~suhasini/teaching673/time_series.pdf6 P. Bartlett. 2010. Introduction to Time Series
/market relatedquestions. Page 23.857.6Principles Course Content The 'enduring understandings' that a student should take away from Principles areestablished based upon prior entrepreneurship research that identified critical entrepreneurialskills and are assumed to be the following: 15 • Opportunity Recognition18 ( Mitchelmore, S. & Rowley) • Presentation Skills 9 (Hood and Young) • Entrepreneurial Competencies 18 (Mitchelmore, S. & Rowley) Mitchelmore, S. & Rowley cite the ability to recognize and evaluate a new ventureopportunity as a dominant entrepreneurial thinking skill as do many other researchers 18-20
-based Learning Curriculum in Microelectronics Engineering”, 14th IEEEInternational Conference on Parallel and Distributes Systems, 2008[3] K. Smith, S. Sheppard, D. Johnson, and R. Johnson, “Pedagogies of Engagement: Classroom-Based Practices,”Journal of Engineering Education, Vol. 94, No. 1, 2005, pp. 87-102.[4] B. A. Karanian, L. G. Chedid, M. Lande, G. Monaghan, “Work in Progress - Behavioral Aspects of StudentEngineering Design Experiences” in Proceedings of the 38th ASEE/IEEE Frontiers in Education Conference, NY,October 22 – 25, 2008.[5] L. Cooper and D. A. Kotys-Schwarts, “Designing the Design Experience – Identifying the Factors of StudentMotivation in Project-based Learning and Project Service-based Learning”, in Proceedings of the
this paper believe that this is an important aspect in theestablishment of the field and should have been included in Fensham1’s characterizationbecause without adequate funding, high quality, rigorous research is unlikely to happen. Inthe U.S., the National Science Foundation (NSF) began funding STEM education-relatedprojects beginning in the late 1980s-early 1990s. The current budget for the Education andHuman Resources directorate in the NSF is nearly $1B per year (for all of STEM, not justengineering) and there are other funds available for EER within the NSF that are not includedin this overall amount.One could argue, that EER in the U.S. emerged primarily because there was a steady fundingstream available to support people who wanted to
the (b)curve. Figure 1: Unmanned Aerial Vehicles, such asThe plane can fly 15 miles of the spiral before it must return the one shown in (a), are playing anto refuel. increasing role in search and rescue. The desired search path is shown in (b).The distance travelled by the UAV for any given value ofis given as 1) Find the equation of the distance travelled by the UAV at any point . 2) What is the value of s when the plane has gone 15 miles? 3) Assuming the total range of the plane is 17.5 miles. Can the plane make it
Principles areestablished based upon prior entrepreneurship research that identified critical entrepreneurialskills and are the following: 15 • Opportunity Recognition18 ( Mitchelmore, S. & Rowley) • Presentation Skills 9 (Hood and Young) • Entrepreneurial Competencies 18 (Mitchelmore, S. & Rowley) Mitchelmore, S. & Rowley cite the ability to recognize and evaluate a new ventureopportunity as a dominant entrepreneurial thinking skill 18-20. Acquiring the resources to takeadvantage of the recognized opportunity is equally important to entrepreneurial successes 1,18 andthis skill rests fundamentally on your persuasive presentation skills, both oral and written, and isconfirmed again by Mitchelmore, S. & Rowley’s
de Tlaxcala. Weappreciate Puebla and Tlaxcala students’ work and thoughtful critiques.Bibliography1. Carreño, S., Palou, E. and López-Malo, A. Eliciting P-12 Mexican teachers’ images of engineering: What do engineers do? Proceedings of the ASEE Annual Conference and Exposition, Louisville, Kentucky, June 20-23, 2010.2. Cruz López, C.C., Chavela Guerra, R.C., López-Malo, A. and Palou, E. Eliciting Mexican High School Students’ Images of Engineering: What Do Engineers Do? Proceedings of the ASEE Annual Conference and Exposition, Vancouver, BC, Canada, June 26-29, 2011.3. Knight, M. and Cunningham, C.M. Draw an engineer test (DAET): Development of a tool to investigate students’ ideas about engineers and engineering
Copyright © 2003, American Society for Engineering Education • Nature of a Business Plan: intended to promote investment in an enterprise with the expectation of providing revenue or other considerations at some specified time(s) with profitability as its goal. • Investor role: provide assets enabling the enterprise to develop a product or service. • Role of the Directors: agree to share ownership; provide a revenue stream to the investor. • Organization of the Business Plan: Executive Summary; Description of the business; Description and use of the technology; Market analysis and forecasts; Financial plan; Management
composites for hulls, decks, risers and otherprimary structure, and the automotive industry uses composites to fabricate body panels, springsand drive shafts. The civil engineering community uses glass and carbon reinforced plastics inthe repair of aging bridges, piers, columns and other structures vital to the nation's infrastructureand economy. Exposure to the mechanics of composite materials and structures is usually reserved forthe graduate student. However, many undergraduate institutions find the need to provide theirstudents with experience with these advanced materials and have crafted courses to do so. Thisdescribes the motivation at the United States Naval Academy (USNA). For the same reasons asother industries, the U. S. Navy is
Session A WALK ON THE MOON: Interdisciplinary, Inquiry-Based Learning Theory into Practice Catherine Mavriplis and Rachelle S. Heller The George Washington University, Washington, DC Charlene C. Sorensen and H. David Snyder Gallaudet University, Washington, DCIntroductionAcademic disciplines and corporations whose basis lies in science and engineering arecalling for diversity in the student body and work force, including women and otherunder-represented groups (Ramsey et al, 1997), one that is comfortable working in teams(Frost, 1998) and willing to engage in collaborative problem solving directed at
prototype along withlessons learned may be passed on to follow on teams in the development of refined prototypes.We highly encourage faculty members to employ this approach in developing new labware andcourseware. All material discussed in this paper is available from the corresponding author.AcknowledgmentsThe authors gratefully acknowledge the Hewlett Foundation for their sponsorship of the EWSI-UW Curriculum Improvement Grants that sponsored this project. References (student co-authors listed in bold)1. “Criteria for Accrediting Engineering Programs – Effective for Evaluations During the 2011-2012 Accreditation Cycle.” ABET, Inc. October 30, 2010.2. S. F. Barrett and C.H.G. Wright, “For Students By Students
faculty exchange student exchange or established short term faculty –led study abroadprograms. Most schools offer scholarships for their students and provide services to aidinternship opportunities. Such support garners interest in the field of engineering, as well asprovides a means to an end for those students who aspire to experience cultural variety in theircareer(s).New Challenges for Construction EducationThe education of construction engineering is traditionally designed to train students for technicalinformation in construction and building, structural management. Admittedly, there is nohesitation about the importance of teaching core engineering and analytical skills to our students.On the contrary, it is pertinent to educate them as
only difference between the two groups will be around the method ofinstruction (i.e. animation or, alternatively, static diagrams).We recommend that our colleagues include animations, developed with an eye toward thestudents' background, when teaching the operation principles of electronic devices such as theBJT.Bibliography1. Karmalkar, S. (1999). Simple unified elucidations of some semiconductor device phenomena. IEEE Transactions on Education, 42, 323 – 327.2. Benesen, L. & Robinson, B. (1983). A study of the mathematics requirements for Israeli technicians and Page 25.700.7 practical engineers. International
this increase is due to the 0course getting the status of a regular S-2009 S-2010 F-2011course as opposed to a special topic Semester-Yearcourse or the course being classified asan undergraduate course. Prior to the Page 25.721.4Fall-2011, Nanotechnology-1 course was Fig 1. Number of students enrolled as a functionoffered at 600-level which allows of semesters and years, F: Fall, S: Springundergraduate as well graduate students to take a 600-level course. Fig. 1 has also thestudent enrollment data from our earlier NUE project (2007-2010, NSF-EEC 0634218).A.1. Description Nanotechnology
, velocity and acceleration profiles; examples using Excel 2.2. S-curve velocity profile derivation of kinematics formulas for position, velocity and acceleration profiles; examples using Excel and MATLAB 3 Multi-axis motion 3.1. Slew motion Uncoordinated motion of individual axes of a machine. Solved examples of motion profiles
status and improving the prospects. Washington, D.C: National Academies Press3. Bergin, D., Lynch, J., Khanna, S. K., & Nair, S. S. (2007). Infusing design into the G7-12 curriculum: two example cases. International Journal of Engineering Education, 23(1), 43-49.4. Linn, M. C., Davis, E. A. & Bell, P. (2004). Internet environments for science education. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.5. Burghardt, M. D., & Hacker, M. (2004). Informed Design: A contemporary approach to design pedagogy as the core process in technology. Technology Teacher, 64,(1). 6.6. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 94
, Stylus Publishing, LLC,2004. Page 25.1005.75. Toohey S., "Designing courses in Higher Education", Buckingham, UK: SRHE and Open University Press,1999.6. F.P. Deek, F.P., Kimmel, H., & McHugh, J., “Pedagogical changes in the delivery of the first course in computer science: Problem solving then programming”, Journal of Engineering Education, 87, 3, pp. 313-320, July 1998.7. Meier, R.L., Williams, M.R., and Humphreys, M.A., “Refocusing our efforts: assessing non-technical competency gaps”, Journal of Engineering Education, 89, 3, pp. 377-385. 2000.8. Massa N.M., Masciadrelli G.J, Mullett G.J., " Re-Engineering Technician
DescriptivesLicense(s) 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum MaximumKindergarten 20 3.10 1.447 .324 2.42 3.78 2 7Primary 181 2.88 1.208 .090 2.71 3.06 2 10Secondary 2773 2.63 1.203 .023 2.58 2.67 2
C lassification Price S ound Features S ecurity S till picture Topics Transm ission speed Virtual Zoo C hildren G am e A
foundations of systemsengineering.IntroductionIt is increasingly recognized that the context of engineering is one dominated by systems and that thepractice of engineering is typically directed towards design of engineering systems, ranging from thesmall to large scale and even complex systems of systems. Engineering curricula, with their traditionalfocus on the disciplinary contributions to design, encourage a mindset in which students seek technicalsolutions often rooted in a specific engineering discipline with little regard for the context in which theirproduct, system, or service may be deployed, the societal or business need(s) it may fulfill or even itsrelations to all the other engineering, business or ‘environmental’ domains that can
National Technical Conference and Exhibition, New Orleans, LA, March 31- April 2.7. Kaiser, M., Pulsipher, A. 2007. Generalized Functional Models for Drilling Cost Estimation. SPE Drilling and Completion, June: 67-73.8. Kitchel, B., Moore, S., Banks, W., Borland, B. 1997. Probabilistic Drilling-Cost Estimating. SPE Computer Applications, August: 121-125. Page 15.716.109. Murtha, J. 1997. Monte Carlo Simulation: Its Status and Future. JPT, April: 361-373.10. Noerager, J., White, J., Floetra, A., Dawson, R. 1987. Drilling Time Predictions From Statistical Analysis. Paper 16164 presented at the SPE/IADC Drilling
funded-research program. His research interests include Learning/Collaborative Systems, Software Engineering, Open Source Development, Computer Science Education.Raghvinder Sangwan, Pennsylvania State University, Great Valley Raghvinder S. Sangwan, an Associate Professor of Software Engineering at the Pennsylvania State University's School of Graduate Professional Studies, holds a Ph.D. in Computer and Information Sciences from Temple University. He joined Penn State in 2003 after a 7+ year career in industry, where he worked mostly with large software-intensive systems in the domains of healthcare, automation, transportation and mining. His teaching and research involves analysis, design
. Page 15.149.6The F value is calculated as: sbt 2 Fcalc ? swt 2where 2 π f s f 2 − π m sm 2 swt ? π f − πm 2 2 sbt ? ∗ nf yf / y + − n ∗y m m
beenintroducing the student participants, who are earning Ph.D. degrees in research Page 15.532.2universities, to the possibility of more teaching-focused careers in institutions servingundergraduates. At UC, practical experience and mentoring in a teaching-focusedprogram could be obtained by PFF participants in the University's College of AppliedScience, which offers two-year and four-year technology degrees in many fields. Butchanges in career prospects for new engineering Ph.D.'s, along with major changes inacademic programs at UC, are providing the impetus for changes in the PFF program.We describe some motivating factors in the changes we have made and are
”, Routledge, Taylor & Francis Group, 1997. 2- 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. Handbook I: Cognitive domain. New York: David McKay. 3- Dym, C. L., Agogino, A., Eris, O., Frey, D., Leifer, L.; “Engineering Design Thinking, Teaching, and Learning”, Journal of Engineering Education, January 2005, pp. 103-120. 4- Eastman, C., McCracken, M., Newstetter, W.; “Design Knowing and Learning: Cognition in Design Education”, Elsevier, 2001. 5- Eder, W. E., Hosnedl, S.; “Design Engineering: a manual for enhanced creativity”, CRC press, , Taylor & Francis Group, 2008. 6- Eder, W. E
parameters as input data (a manual solution for such a problem would be very tedious andtime consuming). Also, the students acquire enhanced problem-solving skills, as they areengaged in, not just using the Mathcad software, but also in writing the programming code.Bibliography 1. Navaee, S., “Utilization of EXCEL in Solving Structural Analysis Problems,” Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition, Nashville, Tennessee 2. Navaee, S., “Developing Instructional Modules for Analyzing Structures,” Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition, Nashville, Tennessee 3. Navaee, S., and Das, N.K., “Utilization of MATLAB in
) Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do Psychosocial and Study Skill Factors Predict College Outcomes? Psychological Bulletin, 130(2), 261-288.(6) Le, H., Casillas, A., Robbins, S. B., , & Langley, R. (2005). Motivational and Skills, Social, and Self- Management Predictors of College Outcomes: Constructing the Student Readiness Inventory. Educational and Psychological Measurement, 65(3), 482-508.(7) Peterson, C. H., Casillas, A., & Robbins, S. B. (2006). The Student Readiness Inventory and the Big Five: Examining social desirability and college academic performance. Personality and Individual Differences, 41(4), 663-673.(8) Robbins, S. B., Allen, J., Casillas
fixtures withT8/T5 lamp(s) and electronic ballasts.Reduction in connected Watts $0.40 per Watt reducedMaximum incentive is $150 per installed fixture. Page 24.448.7Practical ProjectA 29,000 square foot warehouse near Chicago is selected for this project. The warehouse is usedfor packaging and storing food. Clients for this company vist the warehouse on regular basis tocheck the quality of the packaged food and electric power and lighting is a key factor. Thewarehouse had a variety of ineffeciet, noisy and sometimes non-functional light fixtures such as12 foot T12, Mercury Vaspor 400W, Metal Halite 400W, and 4 foot T12. These light
surveys completed, the vast majority of ratings in all thecategories have been “4”s and “5”s. Such scores correspond to “Often” and “Always or almostalways” with respect to the student interns performing the Key Actions that demonstrate eachcompetency. The average rating for the 14 competencies and completed supervisor surveys forthe seven interns was 4.59. Given the small sample size, there are limits to the conclusions thatcan be drawn from these data, but other departments using the same methodology could obtainvaluable information for continuous improvement. The ratings of the competencies for the seveninterns are displayed in Table 2. Competencies are listed in order from highest to lowestsupervisor ratings. As indicated by the Sample Size