, M.L., Creative Design Using a Genetic Algorithm. Computing in Civil Engineering, ASCE, 1994.8. Drucker, P. F., 1993, Innovation and Entrepreneurship, Harper Business Press, New York.9. Carr, N. G., “Visualizing Innovation,” Harvard Business Review, 00178012, Sep/Oct99, Vol. 77, Issue 5.10. Feland, J. “Intentioned Innovation: Bringing Design Views to the Practice of Innovation,” INFORMS 2002 Annual Conference, San Jose, CA, November 2002.11. Wheelwright. S. C. and Clark. K. B., 1992, Revolutionizing Product Development, The Free Press, New York.12. Cockayne, B., Feland, J., Leifer, L., ”Teaching the “How” of Engineering Innovation,” Proceedings of the ASEE Annual Conference, Montreal, June 2002.JOHN FELAND is currently a PhD
Session 2368 Hands-on Learning in Engineering Mechanics using Layered Beam Design B. L. Newberry Oklahoma Christian UniversityI. IntroductionA sophomore level Engineering Mechanics project is presented that uses design and constructionto reinforce student learning of beam deflection and flexural shear strain. The project requires thestudent to design, to build, and to test a layered beam that minimizes cost yet provides specific in-plane and out-of-plane stiffness. Each student is presented with an inventory of available
comments from respondents are as follows: Positive Comments: • Yes, because it [engineering] was fun and very enjoyable. I learned things by being hands- on which is how I like to learn. • Engineering/technical was very interesting from the activities we got to participate in. I would like to challenge myself in getting to know engineering a little better. • Even though I attended a very interesting program, I found engineering was not for me. This is positive in my eyes because I found that something interesting like engineering is for a dedicated student in that field. I probably would not have been that dedicated b/c it did not interest me. P.S. - VT was my #2 choice! Go Hokies • Even though I've always been
. roth.Boston: C.K. Hall (1984).7 Johnson, D. That butterfly in Nabokov’s Eye. In Nabokov Studies (1997), 4, 1-14.8 Boyd, B. Nabokov, Literature, Lepidoptera. In Nabokov’s Butterflies by V. Nabokov. Editedand annotated by B. Boyd and R. Pyle. Translations by D. Nabokov. Boston: Beacon Press,2000.9 Ludwig, D., Jones, D., and Holling, C. Qualitative analysis of insect outbreak systems: the sprucebudworm and forest. Journal of Animal Ecology (1978), 47, 315-332.DIANA DABBY, Asst. Prof. of Electrical Engineering and Music at Franklin W. Olin College ofEngineering, has taught at MIT (electrical engineering), Tufts (music composition), and Juilliard(graduate studies). She received her PhD from MIT (EECS) for her thesis Musical Variationsfrom a Chaotic
handouts showing a memory trace of activation records,the instructor has allowed the students to have a “hands-on” experience with a replica of areduced version of the Towers of Hanoi. At first, the instructor used straws affixed to the lecturepodium with clay as the towers labeled A, B, and C. Styrofoam disks of increasing sizes labeled 1 Page 8.175.3through 5 represented the stone disks. A student was selected to move the Styrofoam disks as the“Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition AnnualCopyright © 2003, American Society for Engineering Education”instructor stepped through the
educationalphilosophies and offerings on engineering heritage are scant. In engineering practice,projects related to heritage resources are, in many instances, dealt with through the eye ofnew construction. Glimpses of hope for engineering heritage come, however, throughFederal programs like the National Register and the Historic American EngineeringRecord.Engineering education has a responsibility towards engineering and industrial heritage.This paper advocates introducing the heritage subject in engineering education. The paperwill address the following objectives: a) defining heritage and heritage preservationcontext; b) exploring the status of engineering heritage as an area of study in engineeringeducation, including efforts exerted by professional
of the gray levels,then the traditional method would be to apply the two-dimensional Fourier transform, 1 ∞ ∞ − 2πj ( ux + vy ) fˆ (u , v) = 2π ∫ ∫ −∞ −∞ f ( x, y ) e dxdy , (2.1)and then plot the frequency content, fˆ (u , v) .Since a two dimensional image is contained on a bounded region, [a, b ]× [c, d ] ⊂ R 2 , the improperintegral, (2.1), gives way to a finite bounded integral. As an example we consider the unit boxillustrated in Figure 1 and
graduates is not considered a good wayto assess outcomes. Outcomes are specified in the “Criteria for Accrediting EngineeringPrograms” as “Criterion 3”: 3 (a) An ability to apply knowledge of mathematics, science and engineering. Page 8.202.3 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education (b) An ability to design and construct experiments, as well as to analyze and interpret data. (c) An ability to design a system, component, or process to meet desired needs. (d) An ability to
circuitscourse both daunting and uninteresting. This phenomenon, and different approaches toaddressing the problem, have been reported by others.1,2,3,4 Our students didn't do well in thefundamental electronics courses (DC and AC circuit analysis, solid-state devices) which areprerequisites for the “fun” courses involving amplifiers, oscillators, filters, etc. Our faculty feltthat giving students a "survey" course in first semester to give a broad overview of and anappreciation for the electronics, and moving the DC circuits course into the second semester,would improve retention and motivation. We felt that it was critical to the success of EL 110that the lab experiences be interesting and enjoyable. An additional benefit to our students is thatthey
, are encoded with a new Boolean variable—an eij variable60. The property oftransitivity of equality—if a = b and b = c then a = c, where a, b, and c are term variables—has tobe enforced with constraints between the eij variables61. Page 8.737.9 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education The efficiency of EVC is due to a property called Positive Equality62, stating that the validityof an EUFM formula under a maximally diverse interpretation of the term variables that appearonly in positive (not
assignment. (Of course, we are not suggesting that you tell them whichproblems you plan to grade, but just that you will be grading a subset of the assignment!) Wehave found that students who typically fail to complete assignments are more likely to do so whenthey know that only selected problems will be graded.Another possible source for the occasional homework grade is to have each student come by youroffice for a few minutes during a given week to discuss their favorite and least favorite homeworkproblems with you. Make it very clear what type of discussion constitutes an A, B, C, D, or F. Inour opinion, the only way to make an F on this type of assignment would be to not show up!Basically, we would hope that each student would make an A or a B
the steps are explicitly stated in the problem.• Transfer is derived by departures from the original problem in setting, presentation, and computation. Transfer is measured using the following scale from A to C: A is the root problem; B is if there are synonym replacement and changes in the data values; and C if there are changes in all three categories.Much additional work is needed to study these measures, but the initial scoring is designed tomatch the ordinal increase in transfer (or difficulty) as more elements of an exercise are changed.The following definitions of terms were used. Setting: The engineering discipline or practical application from which the problem is derived. Example: The original problem
in all directions; (9) avoid obstacles; (10) have room for upgrades; (11) have overridecapabilities; and (12) not cost more than $500. Page 8.1006.2 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright ©2003, American Society for Engineering Education (a) (b)Figure 1. Photos of the Flying Robot: (a) a close shot of the hardware without on-board circuitry and (b) a picture of the hardware along with testing equipmentOnce the operational requirements were accepted by
.a. Page 8.200.6 Figure 5.a, 5.b Variation of DSP Triggered Timer block variables with time “Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education” Step 1: Calculate period and on time from input values period = 1/frequency on time = ((duty/100)*period) Step 2: When trigger input is high reset timer count. when (T >= 1) trigtime = time continue = 1 Step 3: Normalize current
engineering educational experience andon providing students with information needed to make a sound choice of major during the springsemester of the first year. Grade data from the Fall 2002 semester support the observation thatthis course has not evolved into a gatekeeper course. For the 61 students who elected not toenroll in EG 112 for the Spring 2003 semester, two-thirds received grades of "B" or better in EG111, and more than one-half of these 60 students earned a "B+" or better. The 270 students whodid enroll in EG 112 performed somewhat better, with eighty percent having earned a grade of"B" or better, and seventy-five percent a B+ or better. Figure 1 depicts the grade distribution,among those who completed EG 111, of those who enrolled in EG
given interval [a,b], if foreach positive ε, there is a number N that is independent of x, such that, for all n > N, one has Sn ( x) − S ( x) < ε , a≤x≤bThis concept of uniform convergence, defined for sequences, is extended to series because aninfinite series is defined to be the limit of the sequence of its partial sums. Accordingly, we letΣun(x) denote a series of functions that are defined in a given interval [a,b], with partial sumsSn(x) given by Sn ( x ) = u1 ( x) + u2 ( x ) + ...+ un ( x ).........................( 2)Then, if the sequence of partial sums converges uniformly to a function S(x), then, the seriesΣun(x) is said to converge uniformly over [a,b]. Otherwise, the series is not
the 0 and as a resultneeds to be turned off. So when the compared bits are different, an output of 1 must be present Page 8.801.16 “Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education”on the output of the input bits with the logic 1 signal and a 0 for all other input values. A truthtable follows: A B Output A Output B 0 0 0 0 0 1 0 1
appear).[6] Lopez-Real, Francis and Chan, Yin-Ping Rita, "Peer assessment of a group project in a primary mathematics education course," Assessment and Evaluation in Higher Education 24:1, March 1999, pp. 67-79.[7] MacAlpine, J. M. K., "Improving and encouraging peer assessment of student presentations, Assessment and Evaluation in Higher Education 24:1, March 1999, pp. 15-25.[8] Persons, Obeua S., “Factors influencing students’ peer evaluations in cooperative learning,” Journal of Business for Education, Mar.–Apr. 1998.[9] Rada, R., Acquah, S., Baker, B., and Ramsey, P., "Collaborative learning and the MUCH System," Computers and Education 20, 1993, pp. 225-233.[10] Rafiq, Y., & Fullerton, H., "Peer assessment of group
Session 2793 Integration of Numerical Problem Solving into the Chemical Engineering Curriculum Michael B. Cutlip and Mordechai Shacham Department of Chemical Engineering, University of Connectcut, Unit 3222, Storrs, CT 06269-3222 / Department of Chemical Engineering, Ben-Gurion University of the Negev. Beer Sheva, Israel 84105ABSTRACTThis paper provides a collection of representative problems with detailed solutions that can beused to introduce numerical problem solving into core chemical engineering courses. These prob-lems require application
the traditional course Pre-test X1 – High Y1 - Low Post-test X2 – High Y2 - HighNote: No significant difference expected between X2 and Y2All students were randomly assigned to class sections by the Registrar’s office at Stevens.Regardless of section or year, all students took the same three computer tutorials (A, B and C)over a one semester time period. Prior to each tutorial, before any instruction began, everystudent took a pre-test. The purpose of each pre-test was to assess the student’s pre-existingaccounting knowledge in a particular area prior to performing the computer tutorial in that area(A, B, and C). The post-tests were administered after the completion of each
,Where x is a length, ω is an angular frequency in radian per x-length, θn, is a phase shift angle, and f p ( x) = sin 2πxA n B n C n & D n are amplitudes of the frequencies at ω n = nωx. Function shows asinusoidal waveform that can be simulated in Matlab 8. ∞f p ( x) = ∑ (C n cos( nωx − θ ) ) n =0The Fourier series of any periodic function may be represented in the spatial or time domain as afunction of f (x), or in the frequency domain as a function of F(ω
this project is provided by NSF (Grant: DUE-0126497). Page 8.669.6 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering EducationReferences1. Fogler, H. S., and S. E. LeBlanc, “Strategies for Creative Problem Solving”, Prentice Hall PTR, Englewood Cliffs, New Jersey (1995).2. Kepner, C. H., and B. B. Tregoe, “The New Rational Manager”, Princeton Research Press, Princeton, New Jersey (1981).3. Woods, D.R., “A Strategy for Problem Solving”, 3rd ed., Department of Chemical Engineering, McMaster University
flaws. However,it is also possible that there is no method for team formation that works for everyone all of thetime. Finally, some methods for assessing teamwork were discussed. It is unclear what islearned from these assessments.Bibliography1. Shaeiwitz, J. A., Whiting, W. B., and Velegol, D., “A Large-Group Senior Design Experience: Teaching Responsibility and Life-Long Learning,” Chemical Engineering Education, vol. 30, no. 1, 1996, pp. 70-75.2. Walker, C., and T. Angelo, “A Collective Effort Classroom Assessment Technique: Promoting High Performance in Student Teams,” in Classroom Assessment and Research: An Update on Uses, Approaches, and Research Findings, New Directions for Teaching and Learning, No. 75, Fall 1998, Jossey Bass
of the panels and evencontribute to their premature failure. Page 8.555.7 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education (a) (b) Fig. 3 Students marking an aluminum strip (a) prior to bending it into a stringer (b)Following the skin-stringer assembly, each panel is prepared for testing by potting the loadededges in a fiber-filled polyester resin mixture. Once ready for testing, each panel is carefullyplaced in the
Grabber and StackerFigure 2. CAD Model of Entire RobotBibliographic Information1. Suh, N., Principles of Design, Oxford University Press, 1990.2. Hazelrigg, G., Systems Engineering: An Approach to Information Based Design, Prentice-Hall, 1996.3. Creed, C. J., Suuberg, E. M., Crawford, G. P., “Engineering Entrepreneurship: An Example of a Paradigm Shift in Engineering Education,” J. Engineering Education, pp. 185-195, 2002.4. Wright, A. B., Wright, A. M., “FIRST in Engineering, A Service Learning Approach to Mechanical Design,” 2002 ASEE Annual Conference, 6/2002.5. D’Andrea, R., “Robot Soccer: A Platform for Systems Engineering,” Proceedings of 1999 ASEE Annual Conference, session 2220, cdrom, 1999
) volumeWhen this mass is heated the collision between molecules increase and more space isnecessary to contain the same initial mass. Therefore, the density is usually inverselyproportional to the temperature.Viscosity can be thought as the internal stickiness of a fluid. It is directly linked to therate of deformation of a fluid1. Viscosity is highly dependent on temperature and itsrelation is often found to approximate: Page 8.878.71 Mechanics of fluids. 3rd edition. Merle C. Potter, David C. Wiggert. 7 v = A ⋅ e ( B
questions were as follows: 1. Heat Travels from a. Cold to cold b. Hot to cold c. Hot to hot d. Cold to hot 2. Which of the following is NOT a mode of heat transfer? a. Conduction b. Convection c. Connection Page 8.399.8 d. RadiationProceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education 3. Which of the following is NOT a response that your body would perform on a hot August afternoon? a. Sweat b
; Exposition. Copyright 2003, American Society for Engineering Education Figure 3. The GUIDE.ß (a) (b) (c) Figure 4. Regular Polygons. Regular PolygonsCreation of a regular polygon from scratch in a profile provides an opportunity to exploresymmetry, similar length, and similar angle constraints. Exercises can be designed that explorethe differing solutions (e.g., that vary the number of dimensional constraints versus the numberof geometric relations) to fully constrain the polygon. Also, the types and number of constraintsneeded to fully constrain can vary based on the number of sides and can also vary
. Page 8.665.3 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering EducationFigure 1: WTK Simulation - (A) Bottles on the bench to be cleaned up. (B) Carrying abottle of acid to the fume hood. (C) Weak and dying after the explosion.Half-Life is a new development platform for the VRUPL group, and the first simulation usingthis new platform is still under development. Half-Life is a commercially available computergame that normally involves wandering through underground dungeons and shooting bad guyswith machine guns and similar weapons. However it is also possible to develop newenvironments and simulations
fiber density (number/area) in tow and unitcell, fiber radial distribution and average fiber diameter etc. are examined, comparing voids andcracks’ change after different manufacturing steps.Figure 1. Carbon/carbon composite tow analysis11: a) unit cell with 2 tows (combined from 6images at magnification 100X); b) tows (200X): fiber volume fraction in unit cell = 22.38%; fiberdensity in unit cell = 0.00923 µm-2; fiber density in upper tow = 0.0179 µm-2; fiber density inlower tow = 0.0178 µm-2; ratio for fiber density in tows/unit cell = 1.93; average number of fibersin one tow = (2991+3010)/2 =3001 (3K expected).Summary Observations and Strategies The ever increasing link of materials science with computers is raising expectations in