airresistance is taken into account.The remainder of this paper is organized in the following manner: first, we discuss howlogarithms will be used to test Eq. (3) in the laboratory. Then, the design of the experiment ispresented. Next, experimental data are presented and analyzed using Logarithms in two differentways. Finally, these experimental results are compared to the solution of the differentialequation itself.Use of logarithms in analysis of dataAn important property of logarithms that is often exploited in analyzing nonlinear data is that thelogarithm of a product AB equals the logarithm of A plus the logarithm of B. Thus, one canwrite (4)This
throughput ofhydrocarbon fluids. These heater adjustments are the responsibility of the plant operators andunderscore the need for proper training and experience. The photos in Figure 5 show how properadjustments improve flame quality. Training gives operators a clear physical understanding as towhy these certain adjustments make the desired improvements. A better understanding of thewhy can help operators and engineers maintain peak performance over a broader range ofoperating conditions and allow them to better troubleshoot problems and plan for maintenanceand equipment upgrades. (a) (b
said, “I feel that this is one of the greatthings about this class. I've never had a class where the answer key is worked out right in front ofyou. It really helps to understand the material and the steps needed in each type of problem.” (a) (b) Figure 4. Percent of respondents that found homework solution screencast helpful for (a) Fall 2007 and(b) Fall 2008 (Note: Fall 2008 students had the option of choosing “didn’t look at it” for this question.)Like the other screencasts, Fall 2008 students tended to watch the homework solution screencastsfrom start to finish (36%, N=40/116). Twenty-five percent of the 116 student respondents re
greater extent. However, this may also indicate a greater likelihood ofresponding to the surveys amongst those students who pursued higher degrees, which is Page 14.685.6supported in part by the similarities between Figure 1(b) and (c). MBA JD MBA JD 8% MD 3% 0% 6% 12% MBA MS/ JD 19% PhD 8% 24% MD
teacher assigned ID andpassword (Fig. 5). After that s/he can select any module s/he likes to work on (Fig. 6), in thisstep, the program will tell the student how many time s/he has already tried. If the maximumtrial time is met, the system will not allow her/him to continue on this particular module. Page 14.643.7 Figure 4: Programming logic for accessing the database. Figure 5: GIVE model log in system Figure 6: Module selectionFigure 7(a) gives the overall picture of the course module. In Fig. 7(b) a movie clipcorresponding to the question is playing. In the movie clip, important aspects are highlighted
class. Table 3. Activities of Student Teams Working of Projects “A” and “B” Project “A” Project “B” Project Brief Project Brief Benchmarking Needfinding Experience Prototype Ideate Ideate Experience Prototype Funky System Prototype Experience Prototype Re-Setting Experience Prototype Funky System Prototype Conceptual Prototype Experience Prototype Conceptual Prototype Test
thetemperature at an arbitrary position in the fin. By using the tool menu and selecting the GoalSeek option a dialog box appears, as shown in Fig 7. The target cell (temperature in this case,cell E16) then is selected and its value is set to a desired value for that cell (175). The cell thatits value must be changed is identified (cell A16). After clicking on the Solve button, the value inthe selected cell A16 (x) automatically changes to a value that yields the desired temperature of175 oC in the target cell (E16). The solution is presented in Fig. 7-b. Page 14.17.10 Fig. 6 Solution of Example 2 by a trial and error procedure(a) Initial guess
.) Davis, C., A. Ginorio, C.Hollenshead, B. Lazarus, P. Rayman & Associates. San Francisco, CA: Jossey-Bass.2 Gibbons, M. (2007). Engineering by the Numbers. Association for Engineering Education Report. Washington, DC.3 The Collaborative of Academic Careers in Higher Education. (2007). COACHE Highlights Report December2008. Cambridge, MA: Harvard University.4 Etzkowitz, H., Kemelgor, C., Neuschatz, M. & Uzzi, B. (1994). “Barriers to women’s participation in academicscience and engineering” in Who Will Do Science? (Eds.) Pearson, W. & A. Fetcher. Baltimore, MD: JohnsHopkins University Press.5 Internal Institution Report (2005)6 Handelsman, J., Cantor, N., Carnes, M., Denton, D., Fine, E., Grosz, B., Hinshaw, V., Marrett, C
exercises and syllabus. Page 14.446.3We apply several of the ABET criteria within the course: a. Demonstrate an appropriate mastery of the knowledge, techniques, skills, and modern tools of their discipline, b. Apply current knowledge and adapt to emerging applications of mathematics, science, engineering, and technology, d. Apply creativity in the design of systems, components, or processes appropriate to program objectives, e. Function effectively on teams f. Identify, analyze, and solve technical problems, g. Communicate effectively, i
togenerate grades are generally calculation-based problem solutions, difficulty withdynamics concepts that do not involve mathematical calculations cannot be assessedthrough student grades. Student grades appeared to correlate with DCI results only for those scoringabove class average on the DCI. The few students who scored more than one standarddeviation above average on both the initial and post-course DCIs were also among the topscoring students on the graded assessments. However, average scores or a lack ofimprovement from the initial to the post-course DCI did not correlate with student grades.Many students earning “B” grades did not show significant improvement on their DCIs.This lack of correlation between grades and DCI improvement
of thepaper.VEX Robotics KitThe VEX standard kit was selected for the laboratory experiments. This kit includes motors, geartrains, metal frames and shafts, basic sensors, controller and program modules. The VEXcontroller is composed of two PIC 18F8520 μCs. The sensors include two light sensors, twolimit switches and two bumper switches. The programming hardware includes an USB-to-SerialCable, a VEX programming module, and a RJ11 phone cable. For the software, a MPLAB C18compiler for the VEX system provides a true C programming environment. The USB-to-SerialCable, VEX programming module, and phone cable are to be connected together as shown inFigure 1 (a). Figure 1 (b) shows the downloading of a program into the VEX controller. (a
)) px.setColor (green) if(r<40 and g<40 and b<40): if r<40 and g<40 and b<40: show (image) px.setColor (green) p.setRGB((x,y), green) show (image) p.repaint() Page 14.22.3Table 1 includes three versions of essentially the same function used in an initial programmingexercise for all of our courses and approximates an early exercise in Guzdial's mediaprogramming text. These functions read a JPEG image of a familiar cartoon character who iswearing a black shirt and shoes, and then dramatically
earned a B. S. Aerospace Engineering from Virginia Tech University, and taught high school physics for six years. He implemented an International Baccalaureate physics program and a Project Lead the Way pre-engineering program, and is a National Board Certified teacher. His current research focuses on human motion biomechanics, and the application of biomechanics in high school and undergraduate curricula to teach fundamental concepts in physics and engineering.Carol Wade, Clemson University Carol Wade is a second year Ph.D. student at Clemson University in Mathematics Curriculum and Instruction. She is a National Board Certified mathematics teacher in the area of Adolescent Young Adult
achieve substantial pre-engineering outreach as it is used for fifth and sixthgrade students. The project outlined is suitable for the standard K-12 curriculum andencompasses several national standards for science and technology as outlined above. To furtherstudent understanding, background has been provided about brine shrimp and cycles within the Page 14.5.8ecosystem. Students are exposed to pre-engineering and design while building a self-sustainingecosystem. For additional resources, see appendix A and B which contain a suggested lessonoutline and protocol.References[1] K. Collins, "Report seeks reality behind number of engineering
and wires. 3. A ladder logic program will be created to function in the following manner: (a) System armed by placing all toggle switches to ‘open’ position with green light illuminated. (b) Once an input has been triggered, the yellow light will turn on for a period of 5 seconds. Before this interval is completed, the toggle switches must be changed to a ‘code’ that will deactivate the alarm (e.g., 1010). (c) If the proper code is entered within 5 seconds, the yellow light will turn off. (d) Once the switches are put back to 0000, the system will arm itself again. Page 14.49.5 (e) If the
Meeting #1 – ECA 228 A) Icebreaker – How did the summer 1) Email a copy of your official spring class schedule go? 2) Email a copy of your full weekly time management Thurs., Jan. 17, 12:40-2:30pm schedule including BPR, BPN, BPC, POH, and HW time 1:40-2:30pm B) Guaranteed 4.0 Plan for each class. The completed Check List must 2:40-3:30pm accompany the schedule. 3) Complete a Time Estimate Chart that matches your
Design competitions into the undergraduate experience, studentsare better prepared to enter the field of engineering and make more meaningful contributions totheir firms at an earlier rate.According to a report published for The Royal Academy of Engineering, UK (2006)1, the pace ofchange in industry is expected to intensify in both the technological and non-technologicaldomains. Particular themes that have emerged include: (a) an increased need for firms to focuson solving customer problems; (b) a growing requirement to provide system solutions tothose problems; (c) and the increasing complexity of the management task. Anotherimportant factor is globalization which will continue to affect both the demand and the supplyside of industry.Certain
interest and impact enrollment retention. Clearly,no template can accommodate the variety of plans; and both ET and E programs must reachcompromises. We decided to focus on the technical requirements of typical first 2 years such asmathematics, physics, and electrical & computer engineering courses. In essence, the commontwo years would necessarily increase the math/science requirements for ET majors, and increasethe lab exposure and applications requirements for E majors. The following modifications aredeemed to be new for ET and E programs:1. New for ET programs: a. Include one math course per semester, starting with Calculus I; College Algebra and pre-Calculus become necessary pre-requisites. b. Physics and circuit analysis
have completed more than 500 of these projects.Project teams in Capstone courses have been formed using a variety of methods. At BYU, studenttest results from the Herrmann Brain Dominance, FIRO B, and other tests have been used to formteams. The intent has been to create diversity of thinking among team members to provide a betterlearning experience for the students and better project results than would be obtained if diversity inteam formation was not sought. After team formation, each team has been assigned an industrially-sponsored project.Beginning in 2008, teams were formed in a way similar to previous semesters and then invited totake part in a 'bidding' process for the 27 industrially sponsored projects. This bidding process
136 A Framework for Developing Courses on Engineering and Technology for Non-Engineers Vince Bertsch, Santa Rosa Junior College Engineering Department Chair John Krupczak, Hope College Professor of Engineering Kate Disney, Mission College Engineering Faculty Elsa Garmire, Dartmouth College
by additional institutions in the future, wehave standardized the framework in the following areas14: a. Introduction to CI b. Inclusion of current research (context, data, and tools) c. Role-based involvement of the students for transdisciplinary learning; and d. Forward-looking conclusion of the project with review of the CI systems.Project based learning concepts15-18 have been implemented in developing these courses to teachvarious relevant disciplines. The focus is to teach students from diverse disciplines essentialconcepts on computer technology in the context of applying CI. The type and number of role-based modules to be incorporated into a CI course will be solely at the discretion of
AC 2009-815: USE OF THE KNOWLEDGE AND SKILL BUILDER (KSB)FORMAT IN A SENIOR MECHANICAL ENGINEERING LABORATORYCharles Forsberg, Hofstra University Charles H. Forsberg is an Associate Professor of Engineering at Hofstra University, where he teaches courses in computer programming and the thermal/fluids area of mechanical engineering. He received a B. S. in Mechanical Engineering from the Polytechnic Institute of Brooklyn (now Polytechnic Institute of NYU), and an M. S. in Mechanical Engineering and Ph. D. from Columbia University. He is a Licensed Professional Engineer in New York State. Page
. • Develop and present appropriate alternative solutions. Assignment #4: • Analyze simulation output results. Assignment #5: • Interpret results of business process improvements.During class, students are instructed on the learning objectives that are covered in eachassignment. In the first assignment (see appendix B), the objective is to identify the differentcomponents that are required to build the model. During this class students are introduced to thevarious components required to build a model. This is accomplished by reviewing a basic codethat was created as a result of building a model. Figure 1 shows a portion of the code output thatis discussed with the students. As a second part to this first assignment, students
distance learning courses. Traditional classroom interaction, the dialogue between teachers and students, is considered fundamental to the learning process and we were not surprised that our faculty and students hadFigure 1. Students A and B are “local concerned about DL interactions. Therefore the focus oflearners;” they are at the same physical this study was on reported interactions among students andlocation as the instructor. Students C andD are “distance learners;” they are not at between students and faculty in the distance learningthe same physical location as the environment.instructor
offsets and operational current levels.The decision process relates primarily to basic physical models of the MOS transistor, which arebased on devices of much larger dimensions and much lower fields. In order to make any kindof predictive analysis, these basic models benchmark the process and therefore some predictivesimulations are necessary. These are best manifested in such constructs 1 as a CMOS pair forevaluation of the transconductance, gm and of the drain conductance gDS slopes. The device testtopology is represented by figure 1-1(a). The simulation results are as shown by figure 1-1(b). Page 14.1302.3 Figure 1.1(a) Schematic of a
presented here do not necessarily reflect the opinionsof the funding agency.Bibliography1. Barrow, L. H.; Morrisey, J. T., Energy literacy of ninth-grade students: A comparison between Maine and New Brunswick. Journal of Environmental Education, 1989, 20:22-25.2. Farhar, B. C., Energy and the environment: The public view. Renewable Energy Report, 1996, Issue Brief No. 3, 1-11.3. NEETF, Americans' low "Energy IQ:" A Risk to our Energy Future/Why America Needs a Refresher Page 14.1309.12 Course on Energy. National Environmental Education & Training Foundation: Washington, DC, 2002.4. Shelton, S. Energy
Resource Planning,” New York: John Wiley and Sons, Inc.3. Davenport, T.H., 1998, “Putting the enterprise into the enterprise system”, Harvard Business Review, July/August, pp. 121-314. Tatari, M., Ryoo B., & Skibniewski, M., 2004, “Modeling of ERP system solutions for the construction industry,” [Electronic version], eWork and eBusiness in Architecture, Engineering and Construction, p. 393.5. Shiekh, K., 2003, “Manufacturing Resource Planning (MRP II) with an introduction to ERP, SCM, and CRM,” New York: McGraw Hill.6. Voordijk, H., Van Leuven, A., & Laan, A., 2003, “Enterprise Resource Planning in a large construction firm: implementation analysis,” Construction Management and Economics, Vol. 21, pp. 511-521.7. Ives, B
. Construction and BuildingMaterials, 13, 3-14.4. Crick JE, Brennan RL. (1984). General purpose analysis of variance system [Fortran]. Version 2.2. Iowa City:American College Testing Program.Gary LG, Evans D, Cornwell P, Costanzo F, Self B. 2005. The dynamicsconcept inventory assessment test: A progress report. Ammerican Society for Engineering Education AnnualConference. Portland, Oregon.5. Brennan, R. L. (2001). Generalizability theory. New York: Springer-Verlag. Page 14.256.96. Novak JR, Herman JL, Gearhart M. (1996). Establishing validity for performance-based assessments: Anillustration for collections of student writing. Journal of
research is not the primary driving force for engineering innovation which the outdated 1945 linear basic research-driven model predicted; nor is the practice of engineering sequential to basic research as conventional wisdom implies. Rather, in many large-scale technology development projects and programs, engineering frequently drives the need for further academic basic scientific research [Project Hindsight]. 13 The National Collaborative Task Force has identified the modern process and stages of the engineering method for innovation; and the core competencies, skill-sets, attributes, and progressive responsibilities required of graduate engineers at all leadership levels of engineering from a) early- career levels, b) mid
discipline may be required to meet. In this paper, we will focus attention on thecommon (3.a) through (3.k) outcomes since these apply to all engineering programs. These elevenoutcomes may be classified into two groups. The first group, consisting of (3.a), (3.b), (3.c), (3.e),and (3.k) are technical outcomes; for example, outcome (3.a) is an ability to apply knowledgeof mathematics, science, and engineering. The second group consists of the remaining outcomes,(3.d), (3.f), (3.g), (3.h), (3.i), and (3.j), are related to what might be called professional skills 20 (alsooccasionally referred to as soft skills), as well as those related to societal issues. Thus outcome(3.d), related to a professional skill, is an ability to function on multi