AC 2009-1779: INTEGRATING GREEN ENGINEERING INTO AMULTIDISCIPLINARY SEMINAR COURSEDavid Cottrell, University of North Carolina, Charlotte DR. DAVID S. COTTRELL is an Assistant Professor in the Department of Engineering Technology, University of North Carolina at Charlotte. He graduated from the United States Military Academy in 1978 and retired in 2000 after more than 22 years of service with the US Army Corps of Engineers. Studies at Texas A&M University resulted in an MS Degree in Civil Engineering in 1987 and a PhD in 1995. He is a registered Professional Engineer and has taught courses in statics, dynamics, mechanics of materials, graphic communications, engineering economy, and
, analogOutcome 12 and digital electronics, and microcomputers to the building, testing, operation and maintenance of electrical/electronic(s) systems. (ABET 8.a) The application of physics or chemistry to electrical/electronic(s) circuits in a rigorousOutcome 13 mathematical environment at or above the level of algebra and trigonometry. (ABET 8.b) The ability to analyze, design and implement control systems, instrumentation systems,Outcome 14 communication systems or power systems. (ABET 8.c)Outcome 15 The ability to apply project management techniques to electrical/electronic(s) systems. (ABET 8.d) The ability to utilize statistics/ probability, transform methods
Mean Score Score 60 50 40 30 Low Score 20 10 1980 1985 1990 1995 2000 2005 2010 YearFigure 4 Student Final Exams Results in Theoretical Aerodynamics T h e o re tic a l A e ro d y n a m ic s 100 H ig h S c o re 90 80 70 M e a n S c o re S c o re 60 50 40
tomention a few.3.3 The Lookup Table and Intensity TransformationAll the above intensity transformation (point-processing) operations can be viewed as directly orindirectly performing a lookup table (LUT) based mapping on the input pixel intensities of animage to produce a new set of output pixel intensities for the corresponding pixels, and therebyproducing a modified image. It should be noted that as the name implies, a lookup table is atable that contains a set of all possible (full range) input intensity values arranged in increasingorder R = { r0=0, r1=1 r2=2 …, rk=k …, rL-1=L-1}, and a corresponding set of output (mapped,reassigned) intensity values S = {s0, s1, s2, …, sk, …, sL-1} into which the input intensity valuesare correspondingly
presentations.BackgroundThis laboratory is designed to be completed in a two-hour laboratory session for thosesuccessfully completing pre-laboratory exercises. While a number of RF simulation packagesmay be used to perform the listed simulations, the real-time tuning capabilities of Microwave Page 14.38.2Office provide for a high degree of interactivity which is a primary component of thisexperiment. Minimal equipment requirements include a RF frequency generator and a spectrumanalyzer; however, the use of a vector network analyzer with s-parameter capabilities providesadditional opportunities to reinforce concepts demonstrated in the design and simulation phasesof this
-sectionalarea (A) to determine the lift (cL) and drag (cD) coefficients, i.e., L D cL 2 and c D 2 1 2 1 2 1V A 1V A 2 2These nondimensional coefficients are then tabulated as a function of Reynold's number and anondimensional parameter known as a 'Spin Parameter' (S), which is the ratio of the tangentialvelocity of the sportsball relative to its translational speed (V), i.e., S = R4/V; note that typicalvalues of S range from 0 (no rotation) to 0.5 [5]. Interestingly, drag coefficients are
development of this ability, and determine theeffect of this ability on self-efficacy and attitude toward engineering.AcknowledgmentsThis work was supported in part by the National Science Foundation under Grant No. EEC-0835987.References1. The National Academy of Engineering, The Engineer of 2020: Visions of Engineering in the New Century, The National Academies Press, 2004.2. The National Academy of Engineering, Educating the Engineer of 2020: Adapting Engineering Education to the Next Century, The National Academies Press, 2005.3. The National Academies, Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future, The National Academies Press, 2006.4. Sheppard, S. D., K. Macatangay, A
is used to micromachining an alloy comprisingof different elements, the material removal rate (MRR) in micro ECM has been derived to be 13: τ 1 100 EAdt MRR = ∫ (1) τ 0 ⎛ xi zi ⎞ ∑i ⎜⎜ A ⎟⎟ρFgr ⎝ i ⎠Where MRR : material removal rate (µm3/s) E : applied voltage (V) A : surface area of electrode (mm2) : pulse duration (s) xi : weight fraction of the ith element
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
EngineeringEducation: A Modern Approach,” Proceedings of the American Society of Engineering Educators Conference, St.Louis, Missouri, June 2000.3 Dyke, S.J., Truman, K.Z., and Gould, P.L. (2000), “Current Directions in Earthquake Engineering Education: TheUniversity Consortium on Instructional Shake Tables,” Proceedings of the American Society of EngineeringEducators Conference, St. Louis, Missouri, June 2000.4 Williams, A., PE Exam Preparation: Civil & Structural Engineering Seismic Design of Buildings and Bridges.Kaplan AEC Education, Chicago, IL, 2007.5 Hiner, S. T., Seismic Design Review Workbook: for Californian Civil P.E. Examination. Can be obtained fromwww.seismicreview.com.6 ASCE, ASCE 7 Standard: Minimum Design Loads for Buildings and Other
). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.10. Tobias, S. (1990). They're Not Dumb, They're Different: Stalking the Second Tier : Tucson, AZ:Research Corporation11. Bean, J.P. (2005). Nine themes of college student retention. In A. Seidman. (Ed.),. (2005). College student retention. Formula for student success (pp. 215-244). American Council on Education CT:Praeger.12. Pascarella, E., & Terrenzini, P. (1991). How college affects students: Findings and insights from twenty years of research. San Francisco: Jossey-Bass.13. Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. (2nd Ed.) Chicago: University of Chicago Press.14
confidence using theseinventories, although efforts should be made to improve the reliability. Page 14.1260.5 Table 1 Statistics for Concept Inventories Class No. Mean Score Standard Reliability Std Error Students Deviation Coefficient, of Meas. Score % alpha Thermo S 06 116 21.0 65 4.2 0.69 2.3 F 05 110 19.4 61 3.9 0.66 2.3 Fluids S 06 114 14.9 50 4.1 0.69 2.3 F 05
the course being taught? (level of blend, delivery mode, teaching style, …) • And most importantly, Why? Why use the technology or the tool? Why teach the course? Why select this specific objective? … Trying to answer the “why?” of everything is often the most effective, albeit challenging, tool in course design.At the heart of the constructivist instructional design is the instructor, the “i" in our formula. Ourresearch showed us that s/he is the most critical, integral part of effective instruction, just as thestudent is the most critical, integral part of constructivist instruction. The instructors mustconsider their teaching style29 and teaching methods, and as they do, map them against theirstudents’ learning styles.Create a design
substrate-enzyme reaction can be expressed as S + E ←⎯→ k1 ES (1) k2 ES ⎯⎯→ k3 P+E (2) S = Substrate E = Enzyme ES = Enzyme-Substrate Complex P = ProductThe Michaelis-Menten approach was used to derive the rate equation. For this approach, it isassumed that the product-releasing step is much slower than the reversible reaction. Thereversible reaction involves the formation of an enzyme-substrate complex, which is based on avery weak interaction
students’ design performance. Although there arenumerous existing studies that investigate how metacognition impacts performance, similarstudies may focus on the investigation about how each of the components of the self-appraisaland self-management from various groups of engineering students relate to design performance.A standard method of assessing students’ design performance needs to be formulated to increasethe validity of the data.References1. Chan, L. K. S., and Moore, P. J. 2006. Development of attributional beliefs and strategic knowledge in years 5 to 9: A longitudinal analysis. Educational Psychology 26(2): 161-185.2. Graves, D. H. 1983. Writing: Teachers and children at work. Portsmouth, NH: Heinemann Educational Books.3
. Page 14.1111.2Here we should briefly note that there are several different definitions of multidisciplinaryresearch [4], [5], [6]. The terms multidisciplinary and interdisciplinary are often usedinterchangeably, but Borrego & Newswander [3] have provided an excellent discussion of theseterms in the context of engineering education research. They define multidisciplinarycollaborations as those where “collaborators come together to work on a problem, each bringinghis or her own expertise and unique contribution. There is limited exchange of information inthis approach … collaborators leave the project without having learned much about the otherdiscipline(s)” (p.124). On the other hand interdisciplinary collaborations are defined as
14.328.2Pre-Engineering as an Integrative CurriculumIn Rising Above the Gathering Storm, the National Research Council3 calls for educationalleaders to optimize the knowledge-based resources and energize the STEM career pipeline. Thereport repeatedly emphasizes the importance of science and math achievement as a precursor fortechnical advancement, and relates the poor international showing of US students in math andscience to the declining impact of the US in research, patent issuance and economic andtechnological standing.The primacy of math and science to engineering is a common view that can, in educationalsettings, at least, clash with the objectives of engineering. The Nobel laureate Herbert Simon4observed in the late 1960’s that “Engineering
significantly higher; grade) more students dropped the courseFoertsch, J.28 Web-based Replaced (1 Undergraduate Survey Experimental gave lecture term) students (277) significantly higher Page 14.592.6 ratings for the courseHaag, S.29 Web-based Replaced (1 22 graduate and Survey & No significant
its inception and is currently expanding and evolving to meet the needs of both undergraduate and graduate students. He recently received the Teaching Scholars Initiative (TSI) award from the University of Oklahoma.James Sluss, University of Oklahoma Dr. JAMES J. SLUSS, JR. is Director of Electrical and Computer Engineering at the University of Oklahoma. His research and teaching interests are in the areas of optical communications and photonics. He has been awarded seven U. S. patents and has authored/co-authored numerous journal and conference publications. He is a member of the IEEE Education Society, IEEE Communications Society, OSA, and ASEE
was developed. The intent ofthe survey was to gather the student’s opinions on the value of the course(s) to them and theorganization, both short and long-term; whether they believed the course(s) helped improve theircommunication and leadership skills and professionalism; whether their problem solving skillsimproved; and whether the course improved their ability to generate creative ideas and solutions.The survey was sent to a sampling of former students – those that completed the CertificateProgram and those that did not – as well as some HQUSACE employees that did not take any ofthe offered courses. Non-students were included in the survey to better understand theirreluctance to take any of the offered courses.The survey was emailed to
questionwhether or not the module content best represents the BOK.As this step is the most practical part of the methodology to develop a curriculum, manyquestions about the details of teaching a course like this arise. Some of the modules may not bein accord with the traditional way the topics within the module have been taught. Thus, there arequestions about which examples to use, which textbooks or supplemental material should beused, and which professor(s) will teach the modules. Questions may also arise when combiningtopics in a module that have been taught individually either in a lecture or laboratory setting.This step requires time, patience and communication with those responsible for teaching thematerial and making the semester schedule
Expansion Coefficient 1 ÷τ(η, T) -1 δ =- in K τ(η, T) ÷T P Page 14.838.4 Table 1 Transport Properties for Blood at 310 K and 101 kPa η∀ µ π k χ∀ Pr ∀ (Nt s/m2) (m2/s) (W/m K) (m2/s) 0.00 8.3040E-04 8.3603E-07 0.2907 7.2500E-08 11.53 0.06 9.7694E-04 9.8180E-07 0.3420 8.5568E-08 11.47 0.12 1.0742E-03 1.0776E-06 0.3760 9.4391E-08 11.42
and lean enterprise, more specifically Mahalanobis-Taguchi System, Robust Design, Lean Enterprise and Six Sigma.Suzanna Long, Missouri University of Science and Technology Suzanna Long is an Assistant Professor with the Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology. Prior to joining Missouri S&T she was an Assistant Professor in the Departments of Management and Marketing, Missouri Southern State University and Coordinator of the transportation-logistics program. She holds a PhD and an M.S. in engineering management, B.S. in physics and a B.A. in history from the University of Missouri-Rolla (UMR) and an M.A. in history from the
enhanced interactive platform, allowing the learningof technical skills with simulation modeling and animation. The developed web-based virtualreality is able to carry out part of the practice through the virtual laboratory. This will advanceteaching speed and the quality of practical training in the machining shop. Students generallyprovided positive feedbacks on the web-based learning environments in attending the MEMScourse.AcknowledgmentThe authors gratefully acknowledge the support of this study by the National Science Council ofTaiwan, under the Grant No. NSC97-2511-S-003-046-MY3.References1. Caliano, G., Lamberti, N., Iula, A. and Pappalardo, M.(1995). A piezoelectric bimorph static pressure sensor. Sensors and Actuators A, 46-47, 176
to remain competitive. From aregional perspective, the need for STEM graduates is critical to the future sustainability of thedevelopment of the South Texas region as a leading manufacturing hub for North America.AcknowledgementsThe authors greatly appreciate the assistance of Dr. Taylor Martin, Dr. Joan Walker, and Ms.Araceli Ortiz in the development of the background materials justifying Activity 2. The authorswould like to thank the anonymous reviewers for their valuable suggestions, which helpedimprove the exposition of the paper. In addition, the authors would like to acknowledge fundingfrom the Department of Education for the activities in this paper.Bibliography1. Barr, R. Brophy, S., Pandy, M., Petrosino, A., and Roselli, R
. 103-108, 2001.[5] P. Bourque, F. Robert, J. M. Lavoie, A. Lee, S. Trudel, and T. C. Lethbridge, "Guide to the Software Engineering Body of Knowledge (SWEBOK) and the Software Engineering Education Knowledge (SEEK) - a preliminary mapping," 2002.[6] S. P. Ng, T. Murnane, K. Reed, D. Grant, and T. Y. Chen, "A Preliminary Survey on Software Testing Practices in Australia," presented at Proceedings of the 2004 Australian Software Engineering Conference (ASWEC), 2004.[7] "Certified Software Test Professional (CSTP) Programme, Handbook 2006," Release V9.0 ed: ObjectTraining a division of Object Consulting, Available at: http://www.kjross.com.au/page
intothe results in an attempt to correlate performance with other data. Currently, our team isanalyzing data associated with students’ behavior during the intervention including theexplanations that were generated and the time spent studying the solutions provided. Thisanalysis should reveal aspects of the intervention that had the greatest effects and guiderefinements of the current intervention. Page 14.712.14AcknowledgmentsThis material is based upon work supported by the National Science Foundation under GrantEEC- 0550707. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not
effort into the design project, will not be proud of the results of the project.As shown in the correlation analysis, this will also result in a lower perceived quality of learningin senior design, which is independent of the efforts of the instructor!Table 1. Evaluation items correlated with “Taking this course is helping me make thetransition from being a student to being a professional.”Evaluation Items Quarter Correlation Coefficient(s)*Rate the quality of your learning in this course Fall 0.572Rate the instructor’s overall performance in this Fall
paper did notexamine actual measure of student learning and only reported their perception of learning. Futureresearch needs to specifically examine measures of student learning by using “methodologicallysophisticated, qualitative methods such as, interviews, journals entries, observations, and casestudies of particular students as alternatives to standardized objective tests or constructed caseanalysis tests” 8. Page 14.344.7References:1. Williams, S. M. "Putting Case-Based Instruction into Context: Examples from Legal and Medical Education." The Journal of Learning Sciences 2, no. 4 (1992): 367-427.2. Mayo, J. A. "Case-Based Instruction
are often intuitors, though,and occasionally do not see why just presenting the mathematical result is not sufficient. Thismay be particularly true at MSOE, where our students are accustomed to courses that comprise Page 14.1131.6both lecture and lab experiences.Finally, thorough communications between the faculty teaching the two courses is necessary, sothat those concepts that students found difficult in the DSP course can be further addressed in theanalog course.Bibliography1. S. Williams, J. Mossbrucker, S. Reyer and O. Petersen, “A Forward Looking Electrical Engineering Curriculum,”ASEE North Midwest Section Meeting, Univ. of Wisconsin