, = 0, we obtain a second order nonlinear ordinary dtdifferential equation, d 2θ (3) + ω 02 sin θ = 0. dt 2The units of physical parameters are emphasized that is, angular frequency, frequency and periodas summarized below in table 1. Name of Parameter Symbol Units Angular Frequency g rad ω0 = s l
encryption using a joint transform correlator architecture,” Optical Engineering, vol. 39, no. 8, pp. 2031–2035, 2000.[2] P. Refregier and B. Javidi, “Optical image encryption based on input plane and Fourier plane random encoding,” Optics Letters, vol. 20, no. 7, pp. 767 – 769, 1995.[3] B. Javidi and T. Nomura, “Polarization encoding for optical security systems,” Optical Engineering, vol. 39, no. 9, pp. 2439 – 2443, 2000.[4] Y. H. Doh, J. S. Yoon, K. H. Choi and M. S. Alam, “Optical security system for the protection of personal identification information,” Applied Optics, vol. 44, no. 5, pp. 742 – 750, 2005.[5] B. Javidi, L. Bernard and N. Towghi, “Noise performance of double-phase encryption compared to XOR encryption,” Optical
goal of every engineeringschool. Overall, we should be considering both pathways to creating a more inclusive system. Bibliography 1 "Abstracts of Studies about Diversity in Engineering and Science" Online Ethics Center for Engineering 8/6/2009National Academy of Engineering 2 "Synergies (2008 Annual Report) ". Rep. National Action Council for Minorities in Engineering. Web..3 Lim, V. "A Feeling of Belonging and Effectiveness Key to Women's Success." Diverse: Issues in HigherEducation 26.2 (2009): 17.4 Kukreti, A., Simonson, K., Johnson, K., and L. Evans. "A NSF-Supported S-STEM Scholarship Program forRecruitment and Retention of Underrepresented Ethnic and Women Students in Engineering." ASEE AnnualConference and Exposition, Conference
interest in STEM and non-STEM subjects. However,having a population of technologically literate K-5(8) teachers and teacher candidates alsooffers many unique research opportunities. [The definition of “technologically literate” herelikely entails being literate to some degree in the S, M and T&E.] Leaving the teachingeffectiveness benefits aside, a population of technologically literate K-5 teachers, and Page 15.1194.2presumably their K-5(8) students, should enable technological literacy instruments to bebetter designed and calibrated. This has broad implications. Measurements of technologicalliteracy in MST and non-MST teacher populations could
over the next generation. In 2003, the National Science Board reported3that the most significant threats to our science and technology workforce include: ≠ Flat or reduced domestic student interest in critical areas, such as engineering and the physical, and mathematical sciences ≠ Large increases in retirements from the S&E workforce projected over the next two decades ≠ Projected rapid growth in S&E occupations over the next decade, at three times the rate of all occupations ≠ Anticipated growth in the need for American citizens with S&E skills in jobs related to national security, following September 11, 2001 ≠ Severe pressure on State and local budgets for education
has been Vice-Chair of the Publication Board of the American Statistical Association. The areas of her technical expertise and current research include design of complex experiments, Bayesian inference, spatial statistics and topological foundations for statistical theory. She received her Ph.D. in Statistics in 1969 from Iowa State University. She can be contacted at sedransk@niss.orgRenata Engel, Pennsylvania State University Renata S. Engel is Associate Dean for Academic Programs and Professor of Engineering Design and Engineering Science & Mechanics. A member of the Penn State faculty since 1990, she served from 2000-2006 as the Executive Director of the Schreyer Institute for
)instructors and instructional designers should carefully design which course components shouldbe delivered online and in class. Combining classroom and online activities is only a small stepin blended web-based learning. Thus, it is important for instructional designers and instructors tocarefully design web-based learning course to provide learners with meaningful opportunities forcollaboration and social interaction.AcknowledgementsThis research is supported in part by the National Science Council in Taiwan under contractnumber NSC 97-2511-S-132-001-MY2.References[1] L. Bielawski and D. Metcalf, Blended elearning: integrating knowledge, performance, support and online learning (2nd ed.), United States: HRD press, 2005.[2] Market Researcher
for a capstone course in multidisciplinary engineering design. J.Engng. Ed. 83, 311-316 (1994).10. J. V. Farr, et. al., Using a systematic engineering design process to conduct undergraduate engineeringmanagement capstone projects. J. Engng. Ed. 90, 193-197 (2001).11. H. Ö. Öztürk, et. al., A center for teaching design in electrical and computer engineering. J. Engng. Ed. 84, 121-127 (1995).12. S. S. Moor and B. D. Drake, Addressing common problems in engineering design projects: a projectmanagement approach. J. Engng. Ed. 90, 389-395 (2001).13. C. L. Dym, Teaching design to freshmen: style and content. J. Engng. Ed. 84, 303-310 (1994).14. S. Sheppard and R. Jenison, Freshman engineering design experiences: an organizational framework. Int
representing students’ feelings and thoughts. The final column shows the number ofquestions asked of each type (confirming, seeking, and instructional). Page 15.859.5 Table 2(a): Mechanical engineering student summaries for easy test Video Ratings MAT SSSQ Post Avgs Q’s * Time M/F Exp Anx (%) Engage Stress Worry C S I 14:06 M 4 3 88 3.13 4 3.25 0 0 0 17:00 M 3 2 88 4.13 1 2.25 0 0 1 22:40 F 1 2 63 2.75 1.5 1.875 0 0
staff that have contributed to this effort throughproposing ideas and carrying out projects leading to learning, new knowledge and changes to Page 15.13.9educating engineers at the University of Wisconsin-Madison.Bibliography1 National Academy of Engineering, The Engineer of 2020, The National Academies Press, Washington, DC, 2004,101 pgs.2 National Academy of Engineering, Educating The Engineer of 2020, The National Academies Press, Washington,DC, 2005, 192 pgs.3 ASEE, Creating a Culture for Scholarly and Systematic Innovation in Engineering Education - Phase I Report,American Society for Engineering Education, 2009, 33 pgs.4 Millar, S. and
Type Indicator (MBTI) is linked to personality preferences, as shownin Table 1. MBTI summarizes preferences in terms of four categories that represent howan individual processes and evaluates information. The first category describes how aperson interacts with his or her environment. People who take initiative and gain energyfrom interactions are known as Extroverts (E). Introverts (I) on the other hand prefermore of a relatively passive role and gain energy internally. The second categorydescribes how a person processes information. A person who relies on her senses isreferred to as a Sensor (S), while a person who seeks to interpret and gain insight frominformation is called an iNtuitor (N). The Sensor versus iNtuitor category is
-4021 experiments).Check boxes that apply: X Program director notification needed Course coordinator notification needed Entries below are for course coordinator and/or program director only. Action(s) taken by course coordinator: Action(s) taken by program director: Page 15.1152.10 Plan of action was presented by Dr. XYZ and approved (course coordinator) at program faculty meeting on 1/4/10. Refer to faculty meeting minutes. APPENDIX 2: Mapping Electrical Engineering Program Courses to Program OutcomesI=introduced, R=reinforced, A=assessed Curriculum Program outcomes Course a
28 10 29 0 30 ur s s s s s s s s
styles.We studied the Learner Types set out by education psychologists, and developed a classificationapplicable to our students. These are related to the traditional definitions of types of intelligence.User-level definitions of these types are given below:The Barnstormer is eager to experiment, learning by trial and error. Too impatient with lengthy“derivations” to obtain elegant solutions, s(he) learns as needed and works intensely on adeadline. S(he) launches bold experiments, and ventures into the unknown with little hesitation.The Eagle: A separate category must be devoted to those who must have an eagle’s eye view ofwhat they are being taught, before they can focus. Long derivations lose them. These are thepeople who can rise above the
Ring-Herron, Lahav Gil, Ray Cracauer and Oscar Nespoli, “dotLab® System Industrial Design”, WCDE-00073, Waterloo Cases in Design Engineering, December 2009.12. S. Lambert, “Elora Home Heating”, WCDE-00022, Waterloo Cases in Design Engineering, May 2008.13. O.G. Nespoli, A. Hagedorn, C. Campbell and S. Lambert, “A Comparison of Business Case and Engineering Design Case Structures”, Proceedings of the Canadian Design Engineering Network (CDEN) Conference, Page 15.480.12 2008.14. O.G. Nespoli, A. Hagedorn, C. Campbell and S. Lambert, “Creating Engineering Design Cases from Student Work Term and Design Project Reports
studies were conducted to identify how teams learn and to guide thedevelopment of the MERIT kit. Hence, the kit has a strong theoretical and research foundation.The kit addresses an important need for instructional tools and methods that can support studentlearning when working in teams. Despite these strengths, further research is needed to determinethe impact of the MERIT kit in supporting individual student learning.ReferencesABET Engineering Accreditation Commission (2007, November 3). 2008-2009 Criteria for accrediting engineering programs. Retrieved December 15, 2008, from http://www.abet.org.Atman, C.J., Adams, R.S., Cardella, M.E., Turns, J., Mosborg, S., and Saleem, J. (2007). Engineering design processes: A comparison of students
edition (Longman, New York, 2001). Page 15.96.7Appendix Items remembered before ISE experienceRemembering 1) It’s the one universal force that attracts objects together 2) Gravity is the force of attraction between two masses 3) Gravity is the force that keeps us on earth 4) Gravity – 9.81 5) Gravity is a force that “grounds” us 6) Gravity is 9.81 m/s 7) Gravity holds things down on earth 8) Gravity is -9.81 m/s 9) Gravity always equals 9.81 m/s 10) Gravity is on Earth and it holds us down
Page 15.952.3tripled from 10,000 to 31,867. This number remained stable during the late 1970s and throughthe early 1980s. After a second period of growth in the mid-80s, 42,637 research doctorates wereawarded by 1986. From 1998-2002, the number of doctorates awarded each year generallydeclined and reached a low point in 2002.By 2006, an all-time high number of doctorates was awarded in the U.S.5 In science andengineering (S&E) fields, this growth was due in large part to degrees awarded to internationalstudents, many who came to the U.S. to study following World War II6. In 2006, U.S. citizensreceived 63% of all research and 56% of S&E doctorates. The percentage of U.S. citizens whoearned a doctorate in engineering was the lowest with
the number of undergraduate Bio-medical Engineering (BME) programs, and the number of students enrolled in these BMEprograms. Currently there are 117 BME academic programs in the U. S. that are profiled in theWhitaker Foundation curriculum database3. According to the statistics collected by the WhitakerFoundation, the number of undergraduate enrollment has increased from around 5,000 in 1993 toover 12,000 in 20034. Based on a forecast by the US Bureau of Labor Statistics, biomedicalengineering jobs will climb almost twice as fast as the overall average for a 26.1 percent gain by Page 15.866.22012 while overall job growth is projected to be 14.8
, 1931.3 Jansson, D., Smith, S., “Design Fixation”, Design Studies, Vol. 12, No. 1, 1991.4 Purcell, A., Williams, P., Gero, J., Colbron, B., “Fixation Effects: Do They Exist in Design Problem-SolvingTask”, Environment and Planning B: Planning and Design, Vol. 20, No. 3, pp.333-345, 1993.5 Christensen, B., Schunn, C., “The Relationship of Analogical Distance and Analogical Function and PreinventiveStructure: The Case of Engineering Design”, Memory and Cognition, Vol. 35, No. 1, pp. 29-38, 2007. Page 15.445.106 Marsh, R., Landau, J., Hicks, J., “How Examples May (and May not) Constrain Creativity”, Memory andCognition”, Vol. 24, No.5
andseparate assembly lines for the two types of clocks produced (called blue and black). In contrast, Page 15.1262.3 Indicates g in Transfer of p Information ip Sh Indicates e Transfer of s ou Materials eh
engineering faculty and gives faculty development workshops on active learning. He is currently continuing the work of Project Catalyst, an NSF-funded initiative to help faculty re-envision their role in the learning process, and researching the use of inductive teaching methods to correct common student misconceptions in engineering. Address: Department of Chemical Engineering, Bucknell University, Lewisburg, PA 17837; telephone: 570-577-1781; e-mail: prince@bucknell.edu.Trevor Harding, California Polytechnic State University Dr. Trevor S. Harding is Chair and Professor of Materials Engineering at California Polytechnic State University–San Luis Obispo where he teaches courses in
Students Earning Bachelor’s Degrees. Dedicated Engineers Communications Critical Issues Series. 2006 [cited Retrieved 7/6/06.].5. The Engineer of 2020: Visions of Engineering in the New Century. 2004, Washington, D.C.: The National Academies Press.6. Sheppard, S.D. and B.H. Tongue, Statics: Analysis and Design of Systems in Equilibrium. 2005, Danvers MA: John Wiley.7. Ashmore, C., Upton, D., Lee, B. Y., Thomas, G., Harrell, S., Valle, C., Murray, J., Newstetter, W., Jacobs, L. J., Rosser, S., “INTEL: Interactive Toolkit for Engineering Education,” ASEE Annual Conference and Exposition, Pittsburgh, June 2008.8. C. Ashmore, D. Upton, B. Y. Lee, G. Thomas, S. Harrell, C. Valle, J
, Murray B, Marinello S. RR Interval Analysis for Detection of Atrial Fibrillation in ECG Monitors. 30th Annual International IEEE EMBS Conference, Vancouver, 2008. 5. Khan MG. Rapid ECG Interpretation. 3rd Ed. Totowa: Humana Press. 6. Sornmo L, Stridh M, Husser D, Bollmann A, Olsson SB. Analysis of Atrial Fibrillation: from electrocardiogram signal processing to clinical management. Philosophical Transcactions of The Royal Society, 2008. 7. Chang PC, Hsieh JC, Lin JJ, Yeh FM. Atrial Fibrillation Analysis Based on Blind Source Separation in 12- Lead ECG Data. ICMB, (2010):286-295. 8. Weissman N, Katz A, Zigel Y. A New Method ofor Atrial Electrical Activity Analysis from Surface ECG Signals Using
this need. Within the Sligo programme however, there asan obvious absence of engineering-based module(s). The topics covered in two courses atVillanova (CHE8588 and CHE8589), delivered via DE, were deemed to adequately provide thisengineering element to the Sligo curriculum.Other benefits of merging the graduate students from Villanova and Sligo in these two Villanovacourses were identified, such as: • Cross cultural interactions – through the in-class discussion and out-of-class group projects that these classes employ, there is the potential for exchange of different approaches and perspectives on the value and availability of new bioprocess technology and biotechnology products (i.e. drugs, sensors etc
Optimization ResultsFrom these charts, conclusions were drawn that for a speed of 2.5 mph (1.2 m/s), the maximumvelocity increase will come from a 25° angle and the largest feasible outlet area.4.4 Preliminary Shroud TestingThe current testing setup measures free stream velocity but not velocity within the shroud, so adirect assessment of velocity increase is not possible. However, testing does show increasedpower output from shrouded geometry that can be compared to unshrouded tests to determineand “effective” velocity to see what speed is necessary to produce the same power without ashroud.To further confirm CFD predictions, three different shroud sizes were tested: 20°, 25°, and 30°.All had an outlet area to inlet area ratio of four
. Nation’s Business, 82(6), 72-75.5. Bento, A. M., & White, L. F. (2001). Organizational form, performance and information costs in small businesses. Journal of Applied Business Research, 17(4), 41-61.6. Berrah, L., Mauris, G., & Vernadat, F. (2004). Information aggregation in industrial performance measurement: Rationales, issues and definitions. International Journal of Production Research, 42(20), 4271-4293.7. Bititci, U. S., Turner, T., & Begemann, C. (2000). Dynamics of performance measurement systems. International Journal of Operations and Production Management, 20(6), 692
testing of candidate assessment items is accomplished using cognitive interviews. Oncea number of questions have been brainstormed for a particular assessment, the questions areprinted (one to a page) and tested with students. Each interviewer takes a number of thequestions (no more than can be tested in 20 minutes with a student) and sits one-on-one with astudent to test the questions.During a cognitive interview, the interviewer first reassures the student that the purpose of theinterview is to see if the questions are good ones, not to test the student. Whether or not thestudent knows the answer to a question, we ask that s/he let us know what s/he thinks thequestion is asking, and whether any words or phrases are particularly confusing. The
Batra & Davis6and Crismond9’s work, which investigate expertise in design across different domains,find that experts tend to recognize similarities among situations and make connectionsbetween their works. Cross’s8 study summarizes most of the vital features of expertperformance, like the ability to form abstract conceptualizations and decompose Page 15.797.5problems explicitly. An additional summary of characteristics of expertise wasconducted by Farrington-Darby and Wilson20: Experts are inclined to perceive largemeaningful patterns, encode new information quickly, adapt decision strategies tochanging task conditions, possess the ability to make more
has been steadily and rapidly changing for many years. From about the mid-1980’s, concepts of cost control, quality and overall efficiency have become an increasingly sharp focus. In recent years, many companies have tunneled in on lean manufacturing as their savior. It is certainly true that the precepts and procedures of lean, ToC, TQM and other regimens are essential for modern manufacturing competitiveness, and instruction in these matters has become a fundamental component in manufacturing education. With far less visible excitement, however, another ‘revolution’ has entered the scene. The fastest growing sectors of product type are those that require new processing technologies. In 21st century