sites. The materials for eachcourse contain at least a course description. Of the 61 web sites we visited, 27 have actualcourse materials such as syllabus, assignments, lecture schedules and assessment methodsavailable on line; 42 listed their choice of textbooks, including the ones that indicate explicitlythat no textbooks are used. The 61 courses come from a total of 27 different schools, all ofwhich are from the U.S. except for one from Hong Kong and one from Australia. Most schoolsin our study offer network course(s) in more than one department and some offer courses at boththe undergraduate and graduate levels.There are 16 different department names in the 61 courses studied, including “ElectricalEngineering”, “Computer Science”, “Computer
exposedto the sensors, and instructor constitute blocks, and can be used to determine if the use of thesensors as a data collection agent has a significant effect on students’ ability to understand theobserved phenomena.11,12 Table 1. Crossover and Continue Experimental Design Lab Phase 1 Phase 2 Phase 3 Spring stiffness Fluid mixing Beam stiffness Non- Sensor Sensor Non- Sensor Sensor Non-Sensor Sensor s Dr. A’ Section 1 Section 2 Section 2 Section 1 Section 2 Section 1
? Students quickly learn that it is a lot easier to move a wire or change a component when they are in a virtual design space. One of the great advantages and features of MultiSim is its ability to allow the user to capture its graphics. A major strength of a professional report is the visual presented to the reader. It is true that “one picture is worth a thousand equations.”1 Just take a look at a bridge or large building the next time you pass one. Each of these represents literally thousands of complex equations of which you are viewing the results. Among MultiSim’s capture capabilities is its ability to capture a schematic under design, in addition to capturing a whole host of responses such as
(28)M CB ? 2 Ek BCs B - ( FEM ) CB (29)In these expressions, M, E, k, s , and FEM are respectively, member end-moments, modulus ofelasticity, member relative-stiffness factors, joint angular displacements, and member fixed-endmoments. The values of the fixed-end moments in the above expressions for the given beam andloading conditions can be obtained using the following equations. These equations are tabulatedin any elementary structural analysis text6.( FEM ) BA ? wL AB (30) 2 /8( FEM ) BD ? / wL BD 2
R o a d M a p f o r In t e g r a t io n S u m m e r, 2 0 0 3 W eek 3 W eek 6 IE & M E J o in t L a b IE & M E J o in t L a b D O E ( E x p e r im e n t ( F a m ilia r iz e th e a n d D a ta M a c h in e ) C o lle c tio n ) W eek 4
solid models. Two sections of thecourse were taught using different sequences of topics. Approximately sixty (60) students wereenrolled in each section. Although the same material was covered by both instructors, onesection focused on solid modeling strategies during the first part of the course, followed by moretraditional topics of visualization skills, orthographic drawings and dimensioning, then assemblymodeling and assembly drawings (S-D). The second section covered visualization skills, multi-view drawings and dimensioning at the beginning of the course, followed by solid modelingmethods, then assemblies (D-S). Both sections used the same texts10,11 and completed the samelaboratory assignments.Students were asked to take the Sorby test9
important information of individual literature. Both subsystems are linked as a one-to-many relationship since any article can have one or Page 8.415.2more indexed information record(s), and one record can store one methodology being used andProceedings of the 2003 American Society for Engineering Education Annual Conference & ExpositionCopyright © 2003, American Society of Engineering Educationthe conclusions made. A context diagram is shown in figure 3. For the purpose of illustration, anentity relationship diagram and a Level-0 diagram of the system are given in appendix 1. Softcopies of articles are stored as files in a separate
available storage for flood control.According to the sieve analysis, nearly 89% was less than #200 mesh (0.075 mm) and theremaining was distributed between #4 and #200 mesh. D 50 was estimated at 0.041 mm (0.0016in.). Therefore, the design velocity for slurry transport was based on these grain sizes. Durand–Condolios’ limiting deposit velocity equation was used to determine a transition velocity thatseparates the suspended heterogeneous sediments from the moving bed regime. To avoidblockage, the pipeline velocity must be greater than the limiting deposit velocity. The equationis ær ö VLD = FL 2 gD çç S - 1÷÷ Where è rW ø VLD – limiting deposit velocity
of developing the DAE are shown as the following three stages.(1) Analyze problem’s knowledge space and represent it as an algorithm hierarchy. For the example of the problem (RC beam analysis) is shown in Figure 2. Its knowledge space can be shown as in the Figure 3. The values of b, d, f y, fc’ and A s are randomly generated by the Testing Generator. The knowledge space includes the total possible executing calculations, adjustments and branches of a problem. b, d, fy, fc’, As Calculate a sb (balanced depth of concrete) Calculate Asb (balanced reinforced volume) Compare A s, Asb Over-reinforced (A s
-45 Phase (degrees)Magnitude (dB) 0 -90 -20 -135 -40 -180 0.01 0.1 1 10 w (r/s
A Study of Interdisciplinary Research Needs: Results from Input ofFaculty in Six Engineering Departments in Prioritizing Serial Subscriptions Virginia Baldwin Associate Professor University of Nebraska-Lincoln INTRODUCTION The issue of journal cancellations has been a subject of much discussion andcontroversy, research, conference presentations, and publication in the literature of library andinformation science, especially in the 1990's. Burgard & Easton (1999) highlight a selectionof 14 library Web sites that describe their own cancellation projects. University faculty,particularly in
. Rheingold, H. (1991). Virtual reality, Summit, New York, NY.2. Schnabel, M. A., and Thomas, K. (2002). "Interaction in virtual building space." CIB W78 conference 2002 Distributing Knowledge in Building, The Aarhus School of Architecture, Denmark.3. Shibano, N., Hareesh, P. V., Kashiwagi, M., Sawada, K., and Takemura, H. (2001). "Development of VR experiencing system with hemi-spherical immersive projection display for urban environment design." Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01).4. Messner, J. I., Yerrapathruni, S. C., Baratta, A. J., and Riley, D. R. (2002). "Cost and schedule reduction of nuclear power plant construction using 4D CAD and
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1 FT Overnight Retreat and Ropes Course 2 H Introduction to Engineering 3 S Study Habits; Adjusting to College 4 S Discipline Specific Topic 1 5 H Design Guest Speaker 6 S Discipline Specific Design Lecture 7 H Ethics Guest Speaker 8 S Discipline Specific Ethical Case Studies 9 FT Submarine Field Trip to USS Pittsburgh 10 H Using Statistics / Statistical Deceptions 11 H Virtual
qualitative data. Courteret al.7 selected qualitative research methods to evaluate a first year engineering designcourse. Their information included interviews with students, classroom observations, andinterviews with faculty. “We employed the ethnographic research technique of analyzingthe interview transcripts and classroom observations inductively rather than looking forevidence to prove or disprove hypotheses.2 This means that we built our interpretation ofthe students’ experience from the bottom up rather than the top down, a form of analysiscalled grounded theory.25 Points that repeatedly emerged from the students’ interviewsand our classroom observations become our central findings.” (We included Courter etal.’s references in this quote
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present some examples of the virtual instruments(VIs) developed.I. IntroductionThe undergraduate engineering education environment is very different from the environment thatthe senior author has experienced. The personal computer has now become ubiquitous and morepowerful than the mainframe computers of the late 70’s and early 80’s while the educationalutilization of the computer has been transformed from writing specific programs in FORTRANfor carrying out calculations for individual problems to mastering specialized applications forsimulations or for data acquisition/processing. With the proliferation of special purposeapplications, undergraduate electrical engineering courses have been enriched with computersimulations with many textbooks
machining, and casting. The students design a part, rapid prototype it,and make it by casting and CNC machining. 5 Page 7.785.4“Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyrightã 2002, American Society for Engineering Education.1 Richard B. Griffin, Terry S. Creasy The Development of a Combined Materials/Manufacturing Processes Courseat Texas A&M University, ASEE 2001, Albuquerque, NM, Session 2464, June 2001.2 R. B. Griffin, K. T. Hartwig, R. Barber, T. New, and I. Karaman, “Development of a Deformation Processinglaboratory,” National Educators Workshop New: Update 2001
also like to thank the threeother students in the DSP class, Eric Eekhoff, James Grossman and Seth VerMulm for sharingtheir impressions frankly.Bibliography1. Nilsson, J. W. and Riedel, S. A. Electric Circuits, Sixth Edition, Upper Saddle River, NJ: Prentice Hall (2000).2. Rashid, M. H., Spice for Power Electronics and Electric Power, Engle wood Cliffs, NJ: Prentice Hall (1993).3. Sedra, A. S. and Smith, K. C., Microelectronic Circuits, Fourth Edition, New York, NY: Oxford University Press (1998)4. Roberts, G. W. and Sedra, A. S., Spice for Microelectronic Circuits Third Edition by Sedra/Smith, New York, NY: Oxford University Press (1992).5. Howe, R. T.and Sodini, C. G., Microelectronics – An Integrated Approach, Upper Saddle
); Page 6.537.7 } Figure 4: A Sample Solution for the IPC Project (Part 1)Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering Education doOtherPartsOfP2 (m) { i = 1; /* index to the loop for P2 */ numFromP1 = 0; /* initialize the data from P1 */ while ( (numFromP1 != Bye) || (i <= m) ) { if ( (numFromP1 != Bye) && (i < m) ) turn = 1 + rand() % 2; /* decide whose turn it is */ else if (numFromP1 != Bye) turn = 1; /* P2 is done, P1’s turn */ else if (i < m
Recommendation Sourcea 1. Form a faculty committee to review the two-semester sophomore level class PO 3, 4 sequence to address the following specific issues: S • Create room for a significant design experience (i.e. a separate design class). • Formalized instruction on problem solving strategies. • Incorporate more open-ended and real-world problems. • FPE/ABE co-existence. 2. All ABE courses should be encouraged to incorporate more problem solving PO 3, 4 strategies, open-ended problems, and real-world problems. ABE classes need to update their
. Contemporary books with engineering as a focus, with total number of available copiesin library circulation (# of books available) in the U.S.Title Author(s) Year Type CirculationEngineering Elephants#,15 Emily Hunt & Michelle 2010 Storybook 1 PantoyaCaleb: The Mouse Engineer#,16 Clifford D. Cope 2009 Storybook 0Rocks, Jeans and Busy Alane & Raymundo 2009 Storybook 10Machines#,17 RiveraMy Dad’s an Engineer18
AC 2012-2979: CRITICAL THINKING: A PEDAGOGICAL INSTRUMENTFOR NEW ENGINEERING AND SCIENCE EDUCATORSDr. Robert M. Brooks, Temple University Robert Brooks is an Associate Professor of civil engineering at Temple University. He is a Fellow of ASCE. His research interests are engineering education, civil engineering materials, and transportation engineering.Jyothsna K. S., Jyothsna K. S., Department of English, St. Joseph’s College, Bangalore, secured a Gold Medal for the highest aggregate marks in the Post Graduate English Literature course at St. Joseph’s College (au- tonomous). K. S. has been working for the Department of English, St. Joseph’s College for almost two years now, teaching both undergraduate and
conditioning circuits, and a micro-controller were usedfor data acquisition, Modbus communication, and controlling of the motor or light bulbs.As an effort to continually improve our education program, the effectiveness of the courseprojects will be quantitatively and qualitatively monitored through student and faculty surveys,feedback from former students, and results of examinations. These results will be shared withother educators in a future publication.References1. Arthur, J. H. and Sexton, M. R., “Labview Application: Energy Laboratory Upgrade,” Proceedings of ASEE Annual Conference, 2002.2. Akinwale, O., Kehinde, L., Ayodele,K. P., Jubril, A. M., Jonah,O. P., Ilori, S., and Chen, X., “A Labview-Based On-Line Robotic Arm for Students
Conference & Exposition Copyright 2001, American Society for Engineering EducationWhere ∆t is the duration and NC is the number of cycles. This simple experiment can be repeateda number of times, and the average and the sample standard deviation (S. S. D.) of the series ofdata can be computed with the usual formula, (τ − τ AVE )2 u A (τ ) = S.S.D. = (5) N −1Where N is the number of data in the sample. If the number of cycles is taken to be essentially certain, then the only uncertainty istaken to
questionnaire modification.A latent variable (a variable which is not directly measurable) θ, was defined as: θ : student’ssatisfaction with discipline MEIE 143, Manufacturing Processes to assess the outcome from allactivities associated with the implementation of the Learning Factory. This is essentially ameasure of student satisfaction with the Learning Factory approach in MEIE 143. Currentlywork is underway to extend the methodology to assess student skills. According topsychometrics, θ, is located in the latent space with s dimensions and is represented by the vectorθ0. Therefore, one can express θ0 as a function of its vector components
Doctorate in engineering s s s s 733 Bachelor's in business 34% 1% 38% 28% 7,084 Master's in business 31% 3% 34% 32% 166,789 Doctorate in business s s s s 1,793 Engineering & other Bachelor's in engineering 67% 3% 8% 21% 8,631 Master's in engineering 38% 7% 26% 29% 10,628 Doctorate in engineering 48
significantly @ q All Female Engine&s n=135 0 All Male Engineers n=6g2 Figure 2: Distribution of the responses of male and female engineering students on the Sensing/Intuition Index of the ILS. Page 2.212.3The distribution of female and male engineering student responses on the Sensing/Intuitionscale of the ILS are shown in Figure 2. Both male and female students are mostly Sensing ,58%S and 61 %S respectively. All students claimed to be “aware of their surroundings”, tobe “realistic” rather than “imaginative” and they found it easier to to learn “facts” rather than“concepts”. The male responses
collection ofinformation (which often included antidotal information from current farmers operatingtractors with various degrees of seatbelt restraining systems), request equipment to makemodels to test out ideas, and to present drawing of potential solutions. An important partof the project was to address team building and team work. Operational issues of teammember interaction were often addressed and resolved when the team and an advisor(s)were acquainted with a situation. Many times the quality of interpersonalcommunication(s) was the centerpiece of working together. The midterm progressreports were reviewed by the faculty and comments made to assist with project closureduring the next to the last week of the laboratory program. Emphasis was
with people. Figure 1 is an attempt to show Thermodynamics to a linear thinker. It is ordered andlinear as we presented the course, but for that person, it was the key to understanding that thesubject was not that complex, and that there was a reason we covered all that “stuff”. Theoriginal was written quickly and was less neat: in fact, it was also less linear. A friend who usesthis method in programming tells his students to be messy: neatness means it was done after-the-fact, as this was. Equilibrium (Quasi)?? Processes, States Properties (u,h,s,p,T,v,Cp,Cv) Ideal gases variable specific heat constant