and responsibility in engineering practice and contributes engineering perspectives in addressing societal issues. Page 13.1258.4Table 2: Behavior-Based Profile of an Engineer (From Davis et. al. 2005)6Role Behaviors or Observable ActionsAnalyst a. Searches strategically to identify all conditions, phenomena, and assumptions influencing the situation b. Identifies applicable governing principles of mathematics, natural sciences, and engineering sciences c. Selects analysis tools consistent with governing principles, desired results, assumptions, and efficiency d. Produces and validates results through skillful use of contemporary
increasestrength. The reasons are not related to the misconceptions suggested by students, such asdensification, bond compression, or bond strengthening. This type of question, as well as the pre-post scores for such a question from the MCI, are shown below.If a rod of metal is pulled through a tapered hole smaller than the diameter of the rod, thestrength of the metal in the rod increases. This is because:_______ a) the density has increased b) there are more atomic level defects present c) there are less atomic level defects present d) the bonds have been strengthened e) the bonds have been compressed Page 13.191.6
. 4. Mazur, E. (1992) Qualitative versus quantitative thinking: are we teaching the right thing? Optics and Photonics News, 3,pp 38-39. 5. Hake, R.R. (1998). Interactive-engagement vs traditional methods: a six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66, pp 64-74. 6. Strevler, R., Miller, R., Reed-Rhoads, T. & Allen, K. (2007) Best Practices in the Design and Use of Concept Inventories. Workshop presented at 2007 ASEE Annual Conference, Honolulu, Hawaii. 7. Notaros, B. M. (2002). Concept inventory assessment instruments for electromagnetics education. Proceedings of the IEEE Antennas and Propagation Society International
technologyStage A Stage B Stage CRomance Grammar/Precision Synthesis/Generalization(3 – 4 weeks) (8 to 22 weeks depending on programme) (3 to 4 weeks)Exhibit 2. A model for transition year technology based on Whitehead’s rythmic model of learning. Theprogrammes vary in length as a function of objectives. The times shown are equivalents since there can be overlapbetween the stages.Notes and references1. Koen, B. V. (2003) Discussion of the Method. Conducting the Engineer’s Approach to Problem Solving. Oxford University Press, New York2. Goldman, S. L (2004). Why we need a philosophy of engineering. Work in
sessionsstudents are introduced and coached in the following topic areas: 1) Working in Teams 2) Use of software packages (MATLAB) in problem solving, a. Mathematical Operations b. Matrix Operations c. Curve Fitting d. Plotting e. Input/Output f. Scripting g. Branching h. Looping 3) Use of software packages (C++) in problem solving, a. Mathematical Operations b. Input/Output c. Scripting d. Branching e. Looping f. Functions g. Pointers 4) Use of software packages (WORD, POWERPOINT) in communications. a. Introduction to Technical Report Writing b. Effective Use of the LibraryOpen-ended homework projects related to
AC 2008-1005: EXPOSING CHEMICAL ENGINEERING STUDENTS TO REALWORLD PROBLEMS: HEALTH CARE AND RENEWABLE ENERGY SYSTEMSNichole Au, University of Maryland-Baltimore County Ms. Au is a 2008 Magna Cum Laude graduate with a BS degree in Chemical Engineering (Bioengineering Track) with a minor in History. She is also an Honors College graduate and a member of Tau Beta Pi. She has been working on the INSPIRES curriculum for the last year and will continue this work as she completes her MS degree in Chemical & Biochemical Engineering in spring 2009.Taryn Bayles, University of Maryland-Baltimore County Taryn Bayles is a Professor of the Practice of Chemical Engineering in the Chemical and
the problem can be set such that iteration is required then this will also enhance theexercise. Appendix B is an example of such a sample question.Conclusion Engineering analyses packages are without doubt an invaluable part of the modernengineer’s armory. The ease of use of such packages combined with the ever more‘impressive’ post processing capabilities have seen a trend whereby engineers,particularly more junior engineers believe these packages can be used in isolation andtheir predictions believed in with absolute confidence. This paper re-emphasizes the importance that pre-analysis analysis or ‘guesstimation’must be given if catastrophic mistakes are to be avoided and the engineer is to retain a‘feel’ for the physical factors at
): cumulative site hits ~ (time)1/2 Figure 1-1: b) cumulative distribution of site access throughout courseThis suggests that students’ site access strategies become more efficient (fewer per week) as the course goeson, but may not come to equilibrium in only 15 weeks. Since this remains the only blended instructionengineering course a Rensselaer, we could not assess how well their strategies transfer to subsequent courses.It is interesting to note that the “maximum” student quickly developed an equilibrium (linear) accessstrategy. Unlike other students (the percentile
page and one hour requirement, how would you grade a ten page report discussing the resultsof four hours of lab work?Due to the competitive nature of the students who discussed their progress in class, this example wouldhave been a sub-par report. No team spent less than four hours on the flow bench. The average reportwas 12 pages and included six figures, an appendix, bibliography, and cover page. The grading wasbased on the report, not the flow improvement, so the students justifiably received A‟s and B‟s (mostlyA‟s) for their tremendous effort. Weak logic, grammar errors, and mis-spellings accounted for the lack of100% A‟s. The worst of the lot were still impressive and encouraging to the Professor.Figure 2. The powerful engine has an
page and one hour requirement, how would you grade a ten page report discussing the resultsof four hours of lab work?Due to the competitive nature of the students who discussed their progress in class, this example wouldhave been a sub-par report. No team spent less than four hours on the flow bench. The average reportwas 12 pages and included six figures, an appendix, bibliography, and cover page. The grading wasbased on the report, not the flow improvement, so the students justifiably received A‟s and B‟s (mostlyA‟s) for their tremendous effort. Weak logic, grammar errors, and mis-spellings accounted for the lack of100% A‟s. The worst of the lot were still impressive and encouraging to the Professor.Figure 2. The powerful engine has an
University, Flagstaff, AZ Fonda.Swimmer@nau.eduAbstractWe have conducted a one-week residential camp for high school girls on the campus of NorthernArizona University for the past three years. Our primary objective is to encourage young womento enroll in college in the STEM (Science, Technology, Engineering and Mathematics) fields,hence the name STEP UP, Summer Technology & Engineering Program and UniversityPreview. While similar camps are offered in a variety of forms around the country, we haveuniquely attracted a majority of Native American participants, many of whom would be first-generation college graduates. The camp runs from Sunday to Saturday and encompasses a widevariety of activities, primarily in
. Page 13.1129.1© American Society for Engineering Education, 2008 Sustainable Natural Resource EngineeringAbstractNatural Resources figure centrally in the understanding of Sustainability and the Professionalresponsibility of engineers. A teaching approach is outlined that a) utilizes standardEngineering preparation in applied mathematics; b) applies it as a unifying theme across thenatural resource field; c) embeds basic undergraduate exposure to ecological and economicconcepts; and d) operates via desktop simulation tools accessible to all university students. Theapproach suggested is related to the new American Society of Civil Engineers (ASCE) Body ofKnowledge (BOK2) requirement of Sustainability.IntroductionNatural
U.S.A. The primary avenue of getting a job in the U.S.A. for a person who is not a citizen or a permanent resident is the H1-B visa (work visa).2 Due to immigration policies, it is easier to get the F-1 (student) visa and convert the status into H1-B after completion of the degree than directly getting the H1-B1 . Anecdotes tell that in the flourishing dot-com era of late 1990’s, many post-bachelor’s Ph.D. students would belured away by the companies. That may be the reason that in some schools it is difficult, de jure or de facto, for afunded post-bachelor’s student to get an M.S. diploma even after completing the equivalent course works.2 Obtaining employment based permanent residency (the “green card”) for getting a
U.S.A. The primary avenue of getting a job in the U.S.A. for a person who is not a citizen or a permanent resident is the H1-B visa (work visa).2 Due to immigration policies, it is easier to get the F-1 (student) visa and convert the status into H1-B after completion of the degree than directly getting the H1-B1 . Anecdotes tell that in the flourishing dot-com era of late 1990’s, many post-bachelor’s Ph.D. students would belured away by the companies. That may be the reason that in some schools it is difficult, de jure or de facto, for afunded post-bachelor’s student to get an M.S. diploma even after completing the equivalent course works.2 Obtaining employment based permanent residency (the “green card”) for getting a
U.S.A. The primary avenue of getting a job in the U.S.A. for a person who is not a citizen or a permanent resident is the H1-B visa (work visa).2 Due to immigration policies, it is easier to get the F-1 (student) visa and convert the status into H1-B after completion of the degree than directly getting the H1-B1 . Anecdotes tell that in the flourishing dot-com era of late 1990’s, many post-bachelor’s Ph.D. students would belured away by the companies. That may be the reason that in some schools it is difficult, de jure or de facto, for afunded post-bachelor’s student to get an M.S. diploma even after completing the equivalent course works.2 Obtaining employment based permanent residency (the “green card”) for getting a
learners based on observations of design students’ characteristicsand Linksman’s definitions of these super links. The second study set out to test that deductionby recording students’ super links after administering Linksman’s tests for determining learningstyle and brain hemispheric preferences (see Appendices A and B). The tests were given early inthe term shortly after introducing the course and its project-directed concept, and the results werediscussed with the students, who also received handouts of Linksman’s characterizations foreach of the learning styles and brain hemispheric preferences.Because Arabic art and architecture are strongly influenced by geometrical designs, MATH 131includes several chapters of the mathematical text6 that
Exam 2 21 Lab 3 lecture 22 Lab 3 Part A 23 Lab 3 Part B 24 LabVIEW Introduction 25 LabVIEW Programming 26 LabVIEW Simulation 27 Exam 3 28 Course Surveystraffic light setup at a small model intersection was designed for the third lab experiment, wherestudents were required to write a program to control the traffic lights at a theoreticalintersection.15 A small Measurement Computing Corporation data acquisition device was usedfor that lab
do it to ensure that our students gain the right mixof knowledge and skills, and hence ensure them a place in the global market. Page 13.1288.8Bibliography 1. E Leitner (2004), ‘Die österreichische Fachhochschulen: Entwicklung u. Strukturen eines marktorientierten Hochschulsektors, 15 Jan. 2008, http://www.ihf.bayern.de/dateien/beitraege/Beitr_Hochschulf_4_2004.pdf 2. http://www.fh-joanneum.at 3. P Crowther, M Joris, M Otten, B Nilsson, H Teekens, B Wächter (2000), “Internationalisation at home –a position paper.” European Association for International Education (EAIA), p.10. 4. E Doerry, K Doerry, B Bero (2004
Admin. 2 3 a. b. c. d. e. f. g. h. Ave.F91 17.8 81.3 79.2 92.7 93.8 19.8 63.5 88.5 39.6 65.6 64.2S92 13.0 77.0 83.0 97.0 92.0 17.0 62.0 88.0 33.0 31.0 59.3F92 12.3 68.8 73.7 89.3 91.0 18.9 64.8 89.3 33.6 27.0 56.9S93 10.0 72.0 75.0 87.0 90.0 19.0 52.0 83.0 28.0 34.0 55.0F93 15.0 69.0 76.0 90.0 94.0 19.0 61.0 87.0 40.0 48.0 59.9S94 12.0 66.0 65.0 73.0 79.0 19.0
version of the first draft instructionsof the Nano Roughness MEA is shown in Table 2. The complete version can be found in(Zawojeski, Diefes-Dux, and Bowman, in review). Prior to the lab, students were given a pre-reading activity about Atomic Force Microscopes (AFM) and the images they produce. In thelab setting, students were given AFM images of gold samples (Sample B is shown below inFigure 2) to create and test their procedures for quantifying roughness. Table 2 – Nano Roughness MEAAbbreviated Problem StatementInteroffice Memo: Liguore LabsTo: Nanosurface Engineering TeamFrom: Kerry Prior, Vice President of ResearchRE: Surface RoughnessLiguore Labs is very
to program objectivesDesign and build a yes The design and building of d. an ability to applycommunication the Large Cantenna creativity in the designantenna of systems, components or processes appropriate to program objectivesUnderstand the role of yes 1. Simulation using b. an ability to applysoftware in modern Microstripes current knowledge andwireless design
AC 2008-1978: MANUFACTURING ENTERPRISE SIMULATION AS THEFOUNDATION COURSE AND SYNERGISTIC FOCUS OF ADVANCED COURSEHANDS-ON APPLICATIONPhil Waldrop, Georgia Southern University Dr. Phil Waldrop earned his Ph.D. from the Purdue University School of Technology. His industrial experiences range from turret lathe operator to Director of Advanced Process Development. His 11 years of aerospace R&D work included metal matrix composites and high speed machining, and responsibilities as Manager of Manufacturing Technology and Industrial Modernization technology development projects management for the B-2 aircraft program. He has performed invited service in an endowed chair as Stocker Visiting
scaffold proportional reasoning in young learners for the followingreasons. First, although similarity and analogy are not the same, Gentner and Markman (1997) 19suggest that the process of carrying out a comparison is the same in both cases, concluding thatsimilarity is like analogy involving a process of ”structural alignment and mapping betweenmental representations” (Gentner and Markman, 1997, p.45 19 ).Second, classical or conventional analogies take the form of A:B::C:D (English, 2004 20 ), wherethe A and B can be termed as the base or source, and C and D can be termed as the target(Gentner, Holyoak, & Kokinov, 2001 21 ). These analogies are basically proportional or relationalproblems (English 20 ; Gentner and Markman 19 ). In our
aerospace industryand the use of computational modeling to solve aerospace engineering problems. ME 440 Aerospace Engineering Fundamentals Video Quiz #3 Student Name 1. How many passengers will the 5. What will be the production rate of A380 hold? the A380? a. 400 a. 1 plane per week b. 1000 b. 1 plane per da y c. 600 c. 1 plane per month d. 300
practice of engineering inthe 21st century.Another important ABET mandated outcome is10: Engineering programs must demonstrate that their students attain: (g) an ability to communicate effectively.We believe that this approach is a more effective way to accomplish ABET’s communicationsobjectives. The students learn how to be better communicators while also learning about theglobal practice of engineering.References1 Kelley, B., Bradley, W., and Thomas, B., Student-Aimed Appropriate Technology Engineering Projects in Kenya,presented at the 2006 A.S.E.E. Southwest Regional Meeting, Baton Rouge, LA, March 2006.2 Thomas, Brian, “A Wind Powered White LED Lighting System for the Kibera Slum of Nairobi”, InternationalJournal for Service
-elimination tournament was not required to write a lab report for the project, andreceived a grade based entirely on performance.The Walking RobotIn this multi-week exercise, students were tasked with designing a 4+ limbed walking robot withlocomotion and structure designed to optimize (or at least emphasize) one of the followingconcepts: a. Speed (over level ground) b. Power (load capacity) c. Agility (obstacle clearance, foot placement ability (workspace)) d. Novel locomotionLecture material presented comparative anatomies commenting on joint placement and limblengths and the resulting effects on the speed and agility of the various animals. A variety ofgaits were also reviewed and students were
minor in Education from the University of Florida in 1996. Previously, he served as Assistant Director of the NSF-sponsored SUCCEED Engineering Education Coalition. In addition to this work, he studies peer evaluation and longitudinal student records in engineering education.Sherrill Biggers, Clemson University Sherrill B. Biggers is a Professor of Mechanical Engineering at Clemson University. His research interests include computational solid mechanics, progressive failure and nonlinear response of composite structures, and optimum design. He has taught courses in structural and solid mechanics, and finite element methods. He received his PhD in Mechanical Engineering from Duke
/statements/RCA_NSF_ChE_Frontiers_Overview.pdf, accessed February 2008.32. R. B. Bird, W. E. Stewart, E. N. Lightfoot, Transport Phenomena, Wiley, New York, 1960 (1st edition).33. L. Ford, “Water Day: An Experiential Lecture for Fluid Mechanics,” Chemical Engineering Education, 37, 170 (2003).34. J. M. Ross and T. M. Bayles, “Incorporating High School Outreach into ChE Courses,” Chemical Engineering Education, 37, 184 (2003).35. T. M. Floyd-Smith, K. C. Kwon, J. A. Burmester, F. F. Dale, N. Vahdat, and P. Jones, “Demonstration and Assessment of a Simple Viscosity Experiment for High School Science Classes,” Chemical Engineering Education, 40, 211 (2006).36. L.-S. Fan, “Particle Dynamics in Fluidization and Fluid-Particle Systems. Part 2
taken from theinteractive worksheets illustrating these three kinds of examples. • Example (basic computation): 1. Find x and y so that the following two matrices are equal. 2 x−4 2 6 A = 3 0 and B = y − 1 0 7 0 7 0 • Example (application of theory): 1. Plot a triangle in R2 with vertices F = (x1 , y1 ), U = (x3 , y3 ) and N = (x2 , y2 ) where x1 , x3 , x2 are all positive and x1 ≤ x3 ≤ x2 . 2. Find a formula for the area of this triangle by using trapezoids. Recall that the area of a trapezoid is half the distance between the
andswcnkvcvkxg"cuuguuogpvu"xgtuwu"vjqug"uvwfgpvu"yjq"ygtg"rctv"qh"Ðvyq-teams, two-rtqlgevuÑ0"Yg"found that data generated from the experimental capstone sequence would improve the productdesign process by a) providing a basis for comparison between different prototypes or aprototype and control devices, and b) providing quantitative data for thespecifications/requirements stage of device design.Phase III: A Single, Integrated of Capstone ExperienceWe have now moved to Phase III: each team spans both capstone experiences and each team hasa single project in both capstone experiences. Although only one quarter of the two-quarterintegrated capstone experience has been completed, there is already quantifiable improvement inoutcomes. For example, five of six