, Nashville, Tennessee, 2003.10 R. D. LaRoche, B. J. Hutchings, R. Muralikrishnan, “FlowLab: Computational Fluid Dynamics (CFD) Framework for Undergraduate Education”, Proc. 2002 ASEE Annual Conference & Exposition, June, Montreal, Quebec, CA, 2002.11 Appanaboyina, S. and Aung, K., , “Development of a VRML Application for Teaching Fluid Mechanics,” Proc. 2004 ASEE Annual Conference & Exposition, June, Salt Lake City, Utah, 2004.12 R. Jia, S. Xu, S. Gao, EL-S. Aziz, S. Esche, and C. Chassapis, “A Virtual Laboratory on Fluid Mechanics,” Proc. 2006 ASEE Annual Conference & Exposition, June, Chicago, Illinois, 2006.13 R. LaRoche, B. Hutchings, and R. Muralikrishnan, “FlowLab: Computational Fluid Dynamics (CFD) Framework for
13 10 10 14 M 1 2 5 5 2 I 3 1 1 1 0 A 75% 81% 63% 63% 88% M 6% 13% 31% 31% 13% I 19% 6% 6% 6% 0% Table 1. 2006-07 Electrical Engineering Senior Design – S. Williams Student Group Page 13.1070.9 Program Outcomes Assessment Results: EE-407, EE
. Page 13.191.93. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How People Learn: Bridging research and Practice. National Academy Press, Washington, DC.4. Kikas, E. (2004). Teachers' conceptions and misconceptions concerning natural phenomena. Journal of Research in Science Teaching, 41(5) 432-448.5. Krause, S., Decker, J., Niska, J., & Alford, T. (2002). A Materials Concept Inventory for introductory materials engineering courses, National Educators Workshop Update 2002, 17, 1-8.6. Krause, S., Decker, J. C., & Griffin, R. (2003). Using a Materials Concept Inventory to assess conceptual gain in introductory materials engineering courses. 2003 Frontiers in Education Conference Proceedings
area (Q) can be obtained using the following equation: b(h 2 / 4 / y 2 )Q? (25) 2Determination of the Principal Stresses:A square differential element of beam subjected to the normal stresses sx and sy and a shearingstress txy is shown in Figure 4. To develop the expression for the principal normal and shearingstresses acting on the element of the beam, the equation for the normal stress s and shearingstress t on an inclined plane with an angle of inclination of s are obtained first. uy A v xy ux
. In order to evaluate if curriculum help develop these skills in students, anassessment instrument is needed. A wide variety of such surveys have been developed andvalidated, although generally for settings outside engineering academia. In this research, theMiville-Guzman Universality-Diversity Scale short form (MGUDS-S) was used. It is a written15 question survey with responses on a 6-point Likert scale. It evaluates universal-diverseorientation (UDO) and has been most widely used in medical school settings. The overall UDOscore is composed of three subscales: diversity of contact, relativistic appreciation, anddiscomfort with differences. The author also added four of the Pittsburgh Freshman EngineeringAttitudes Survey (PFEAS) questions and
13.1382.6SDOF system are shown in -1Figure 4. From the swept sine -1.5 -2 0 10 20 30 40 50 60 70 80 Time (s) Figure 4. Typical time response for a swept sin inputresults the FRF can be calculated in Matlabusing the built-in command called“tfestimate.” A typical FRF generated thisway is shown in Figure 5.This lab was also used to begin
engineering economy course had fullenrollment in spite of the fact that it was being offered by the department for the first time andduring a four-week period in the summer.Some of the writers who previously underwent Quality Matters training contributed experiencesgained from the training to the development of this online course. Quality Matters is a peer-reviewed program of “inter-institutional quality assurance in online learning”.5 A publication byGary S. Moore and others was a good source for information on online learning.6 The followingis a discussion of what was done to successfully offer engineering economy course to students inthe construction management program online.1. Introduction and Course OverviewWe used this section to introduce
selected, the outcomesmay have been different.AcknowledgementsThis research is supported by the National Science Foundation (NSF-DUE-0302542) and is partof the on-going efforts of the Center for Assessment of Science, Technology, Engineering andMathematics at the Colorado School of Mines (see http://www.mines.edu/research/ca-stem/). Page 13.1238.13References1. Cooper, S., Dann, W., & Moskal, B. Java-Based Animation in Building viRtual Worlds for Object-orientedprogramming in Community colleges. NSF-DUE-0302542.2. Walker, Leslie., “Recognize Me?”, The Washington Post Online, accessed 2006,http://www.washingtonpost.com/wp-dyn/content/article/2006
- Summer 1998.3. Jones, R. C. ,Kumar, T “Technological literacy for non-engineers,” Frontiers in Education Conference, 1991. Twenty-First Annual Conference. 'Engineering Education in a New World Order.' Proceedings. 21-24 Sept. 1991 Page(s):179 – 184. Page 13.897.54. Krupczak, J.J., Jr.; Ollis, D.; Pimmel, R.; Seals, R.; Pearson, G.; Fortenberry, N. “Panel - the technological literacy of undergraduates: identifying the research issues,” Frontiers in Education, 2005. FIE '05. Proceedings 35th Annual Conference 19-22 Oct. 2005 Page(s):T3B - 1-25. Krupczak, J.J., Jr.; VanderStoep, S.; Wessman, L.; Makowski, N.; Otto
model follows. Page 13.219.5 3As also mentioned above, a basic DEA model allows the introduction of multiple inputs and multipleoutputs and obtains an “efficiency score” of each DMU with the conventional output/input ratioanalysis. Defining basic efficiency as the ratio of weighted sum of outputs to the weighted sum ofinputs, the relative efficiency score of a test DMU p can be obtained by solving the following DEAratio model (CCR) proposed by Charnes, et al.1: s ∑v k =1
AC 2008-1308: A VENTILATION SYSTEM CAPSTONE DESIGN PROJECTCharles Forsberg, Hofstra University Charles H. Forsberg is an Associate Professor of Engineering at Hofstra University, where he primarily teaches courses in the thermal/fluids area. He received a B. S. in Mechanical Engineering from the Polytechnic Institute of Brooklyn (now Polytechnic University), and an M. S. in Mechanical Engineering and Ph. D. from Columbia University. He is a Licensesd Professional Engineer in New York State. Page 13.129.1© American Society for Engineering Education, 2008 A Ventilation System
precise spatial and temporal delivery of neuromodulators in organotypic brain slice culture.Ali Asgar Bhagat, University of Cincinnati Ali Asgar S. Bhagat earned his M.S. in electrical engineering from the University of Cincinnati in 2006, and is currently a Ph.D. candidate in the Department of Electrical and Computer Engineering. His research interests include microfluidics and MEMS devices for chemical and biological assays. He was the teaching assistant at UC for the microfluidics laboratory course discussed in this paper.Hugo Caicedo, University of Illinois at Chicago Hugo Caicedo Angulo earned his B.S. in electrical engineering from the Univesidad del Valle,Cali-Colombia in 2005
) professionals is significantly disproportionate to minority representation inthe U.S. general population and workforce, thereby impacting the current pool of primarilyWhite male STEM professionals’ ability to meet the rapidly changing demands facing theengineering industry. Instead, the U.S. must increase the numbers of women and minorities(defined for the purpose of this study as African Americans, Hispanics, and Native Americans)that earn degrees in STEM fields not just at the baccalaureate level, but at all levels1.Minorities, particularly African Americans, are showing an increase in enrollment andsubsequent degree attainment in science and engineering (S&E)1. Data from 1987 and 2000show an increase in the percentage of S&E degrees awarded
resource-basedindustries such as paper or in textile mills which were widely dispersed geographicallyaround the state, the textile mills in the more populous southern part of the state and thepaper mills in the north. In the 1960’s, however, these industries began a slow,precipitous decline which accelerated in the 1970’s and 1980’s. At the same time, newindustries, which required higher skill sets, began locating in the greater Portland area.These included such companies as National Semiconductor, Fairchild Semiconductor,Pratt and Whitney, Idexx Laboratories and other. These industries were interested inhaving a local institution which would not only provide educational opportunities fortheir employees but also would be a source of new engineers
for a number of years. In these classes, students were “learning bydoing” in a semi-professional environment.Software engineering is concerned with creating and maintaining software applications byapplying technologies and practices from computer science, project management, engineering,application domains, and other fields. In other words, Software Engineering encompasses “hardskills” that pertain to Computer Science, application domain(s) and process knowledge as well as“soft skills”, like thinking conceptually, attending to detail, working in a team, leading a team,etc. Unlike hard skills, soft skills are discipline-neutral.This paper reflects on experiences the author made with optimizing the composition of projectteams. Optimization of
intercultural opportunities. This will enable studentsand faculty to develop an entrepreneurial and international adventurous spirit to better succeed inthe new frontier of a globalized environment1.History and Evolution of Capstone CoursesIn the early 1990’s there was mounting pressure from industrial and educational leaders to makesignificant changes to the engineering curriculum to better prepare engineers for leadership whileproviding real-world experience1. This was a result of industry feeling that engineeringgraduates were inadequately prepared for the practice of engineering. Response from thesepioneers developed what has become known as capstone courses or programs. These programsbrought open ended design problems and often industrially
)‚ Worksheet for law of cosines problem using both special functions macros (2 pages)‚ Mathcad solutions (X pages)‚ Summary Sheet Excel/Mathcad (1 page) Page 13.321.10A pre-formatted summary sheet was given to the students to fill in as follows: S u m
Introductory Course.” Journal of EngineeringEducation, Vol. 82, No. 1, 15-21.5. Farrell, S.; Hesketh, R.P.; Slater, C. S. ”A Laboratory Project to Design and Implement a Process for theProduction of Beer.” Proceedings of the 1999 American Society for Engineering Education Annual Conference andExposition, Session 3226, June 20-23, Charlotte, North Carolina.6. Farrell, S.; Kadlowec, J.; Marchese, A.; Schmalzel, J.; Mandayam, S. “Hands on the Human Body! a.k.a.Introducing Freshmen to Multidisciplinary Engineering Principles through Application to the Human Body.”Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition, Session1526, June 16-19, Montreal, Quebec, Canada.7. Hesketh, R.; Farrell, S.; Slater, C
on Solidworks and calculated themass properties using the software. Representative graphs for the linear and angularaccelerations at the head are shown in Figure 3. 100 50 0 Accel (ft/s/s) -50 -100 x -150 y z -200
unit Fig. 2 (a) Description of BTS (b) students testing a simply-supported beam.Student GroupsThe two different sections of the mechanics of materials course taught by the first author in fall2007 offered a natural division of students into separate experimental and control groups. Basicstatistical analysis was used to compare the level of readiness in the two student populationsbased on their grades in the prerequisite course, Statics. Besides calculating the mean ( X ) andstandard deviation (S) values of the grades in the two groups, a t-test was also performed basedon a 95% confidence level7. The t-test helps to determine whether the difference between the twostudent groups (the mean values) is statistically significant. In a
introductory course in MATLAB, which features a verystrong alignment of curriculum objectives to assessment tasks; refer to Figure 3 where the arrowpointing from “objectives” to “assessment” implies the objectives of the course must beembedded in the assessment tasks. The proposal for this system is reported in the next section. Teacher S tu d e n t p e r s p e c t iv e p e r s p e c t iv e o b je c t iv e s assessm ent T e a c h in g L e a r n in g a c t iv it ie s a c t iv i tie s assessm ent o u tc o
survey questionsprovides some insight into student perceptions. M E3 5 0 C o urs e End S urv e y Que s t i o ns 3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 4.8 5 E1. M E3 50 imp ro ved my ab ilit y to und ers t and , d et ermine, and wo rk wit h p hys ical and thermal p ro p ert ies . E2 . M E3 50 imp ro ved my ab ilit y t o ap p ly a s ys t emat ic t ho ug ht p ro ces s to s o lve eng ineering p ro b lems . E3 . M E3 50 imp ro ved my ab ilit y to analyze t hermal s ys t ems b y ap p lying co ns ervatio n o
viewed as their dominant style(s).Exit Survey: At the end of the course, an exit survey with 7 questions was administered, and 42students completed the survey. The exit survey, shown in Figure 6, specifically addressed thestudents’ experience with the simulation programs used in the course. Students were told thattheir data would not be reviewed until the final grades were submitted and were advised toprovide honest responses to the questions.Name: _____________Q1. The simulation modules helped improve my confidence level in learning engineering.Strongly disagree 1 2 3 4 5 6 7 Strongly agreeQ2. I think the simulation modules are good learning supplements.Strongly disagree 1 2 3 4 5 6 7 Strongly agreeQ3. I enjoyed using the simulation
2007.2. Zarske, Malinda S., Sullivan, Jacquelyn F., Knight, Daniel W., Yowell, Janet L. and Wiant, D. (2007) “The TEAMS Program: A Study of a Grades 3-12 Engineering Continuum,” Proceedings, ASEE Annual Conference & Exposition, Honolulu, HI, June 2007.3. Cejka, E., Pickering, M., Conroy, K., Moretti, L. and Portsmore, M. (2005) “What do college engineering students learn in K-12 classrooms?: Understanding the development of citizenship & communication skills,” Proceedings, American Society for Engineering Education Annual Conference & Exposition, Portland, OR, June 2005.4. Gravel, B.E., Cunningham, C.M., Knight, M.T., and Faux, R. (2005) “Learning through Teaching: A Longitudinal Study on the Effects of
imaging using random noise waveforms. His industrial work experience extended to CMOS analog circuit design and signal integrity in gigabit-speed data architectures. His current research interests are in advanced imaging radar systems and sensor networks and in non-conventional approaches to modeling and solving signal integrity problems in above-10 Gb/s wireline links. He is also interested in improving electromagnetics curriculum on undergraduate level. Page 13.398.1© American Society for Engineering Education, 2008 Developing Problem-Based Introductory Electromagnetics
rubrics. Knowledge: Pts. Level Awarded Description Student does not have an understanding of the characteristic, e.g., does not A 0 mention any of the attributes related to the characteristic. Provides a good understanding of the characteristic or provides evidence/artifact(s) A 1 that suggest a good understanding of the characteristic. Provides evidence/artifact(s) and a good understanding of the characteristic but A 2 does not connect the two together. Articulates the understanding of the characteristic with the provided evidence/artifact(s). Student
requirements during construction andcommissioning of a nuclear power plant. T H O U S A N D S O F W R O K E R SSteps in executing the plan: The work of preparing the workforce falls to many Texas institutionsas seen in the following list: 1. Wharton County Junior College will lead a program to establish a two-year Power Technology Program. Graduates from this program will be prepared to enter into accelerated accredited training as mechanics, electricians, and chemistry technicians. 2. Hill College will be the lead institution to create a two
Innovative Curriculum for Undergraduate Electrical and Computer Page 13.421.11Engineering Students.”References [1] M. Paulik and M. Krishnan, “A competition-motivated capstone design course: The result of a fifteen-year evolution,” IEEE Transactions on Education, vol. 4, no. 1, pp. 67–75, February 2001. [2] F. C. Berry, P. S. DiPiazza, and S. L. Sauer, “The future of electrical and computer engineering education,” IEEE Transactions on Education, vol. 46, no. 4, pp. 467–476, Nov 2003. [3] J. S. Bruner, The process of education. Cambridge, MA: Harvard University Press, 1960. [4] W. M. Clark, D. DiBiasio, and A. G. Dixon, “Project-based
of Linear MotionRecall that the rate of change of displacement (r) with respect to time (t) is velocity (v). Withdisplacement measured in meters and time measured in seconds, the velocity would have units ofm/s. dr v= (1) dtThe rate of change of velocity with respect to time is acceleration. This is also the secondderivative of displacement. The resulting units of acceleration are m/s2. dv d 2 r a= = (2
Corporate Strategy.3 In his book Fusion Management, Stanley Marash notes that since the 1960’s more than 32quality programs have come and gone at an average of almost one per year. He further noted theemergence of a common pattern: “A few pioneer companies adopt or develop a program andachieve great success. The business press takes notice and other companies seek to emulate thepioneers. But as the idea spreads it becomes diluted. Senior management tries to adopt the modelwithout ever really comprehending what is required to make the program successful.”4 It appearsfrom the review of recent articles there is some lack of understanding regarding the evolution ofSix Sigma and Lean.What is Six Sigma?While Six Sigma began as a quality program at