of Computer Systems Organization,” IEEE Trans.On Education, Vol. 37, No. 3, pp. 247 - 256, August 1994.3. York, George, Fogg, Ruth D., “VISICOMP: The Visible Computer,” ASEE Annual Conference Proceedings,June 1996.4. Barrett, S. F., Pack, D. J., York, G. W. P., Neal, P. J., Fogg, R. D., Doskocz E. K., Stefanov, E. K., Neal, P. C.,Wright, C. H. G. and Klayton, A. R., “Student-Centered Educational Tools for the Digital Systems Curriculum,”ASEE Computers in Education Journal, Vol. IX, pp. 6 - 11, Jan - Mar 1999.5. IEEE Computer Society, Association of Computing Machines (ACM), “Computer Engineering 2004:Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering.” 12 December 2004.6. Peterson, B. and Clark, A., “PRISM: A
15.644.10http://www.engr.sjsu.edu/hcb/summercamp.htm.Figure 10. Participants and staff for the SVCCConclusionThe students completed an online survey on the last day of camp, which revealed that 95% of thehigh school students: (a) were more aware of computing careers; (b) better understood whichcourses would prepare them for college; and (c) were motivated to engage in the HBC clubactivities. 64% of the high school students told us it would not have been possible to accomplishthese computing activities without the lectures and discussion. This camp was a positiveexperience for all of the campers. Through this activity, we discovered that: ≠ Students found the lectures helpful to their learning although they felt some of the lectures were too
, Cambridge, Massachusetts, USA, June 11-14, 20074. Crawley, E., J Malmquist, S. Ostlund, D. Brodeur, Rethinking Engineering Education: The CDIO Approach, Springer, New York, 2007.5. Johnson, S. A, B. A. Norman, J. Fullerton, S. Pariseau, “Using Hands-On Simulation to Teach Lean Principles: A Comparison and Assessment across Settings”, Proceedings of the 2008 ASEE Annual Conference, Pittsburgh, PA: June 20-23, 2008.6. Krathwohl, D. R., “A Revision of Bloom’s Taxonomy: An Overview”, Theory into Practice, 41(4), 212-218, 2002.7. McGinniss, L., “A Brave New Education”, IIE Solutions, 34(12), 27-31, 2002.8. McManus, H. L., E. Rebentisch, E. M. Murman, A. Stanke, “Teaching Lean Thinking Principles through Hands-on Simulations
Conference & Exposition, American Society for Engineering Education(2009).5Doering, E., and Mu, X., “Circuits Learned By Example Online (CLEO)”, Proceedings of the 2007 ASEE AnnualConference & Exposition, American Society for Engineering Education (2007).6 Gao, Z., Varma, V., and Houck, C., “Investigation of Developing and Delivering On-Line Courses in ConstructionManagement”, Proceedings of the 2006 ASEE Annual Conference & Exposition, American Society for EngineeringEducation (2006).7 Class-Morales, F., Leake, J., and Hall, B., “Development of a Standalone Computer-Aided Tutorial to IntegrateComputational Tools into a Mechanical Design Curriculum”, Proceedings of the 2007 ASEE Annual Conference &Exposition, American Society for
divide each band into sectors determined by lines at 0, 45°, 90°, 135° (these correspond to the angles of the Gabor filters used in step 3). 2. In each sector (48 in total), normalize the gray values to a constant mean M and variance V (both chosen as 100 in the original paper15). This has the effect of removing the effects of sensor noise and gray level differences due to differences in finger pressure between sectors. Page 15.829.8 (a) (b)Figure 3. (a) Fingerprint image obtained from sensor and (b) tessellation of the fingerprintimage in obtaining
option.Nevertheless, multiple alumni have sent email messages fully endorsing the DBF option andsuggesting that it has left them better prepared for the transition to the demands of industry.Enhancement of ABET OutcomesThe ERAU AE capstone sequences allow students to meet the majority of the ABET requiredoutcomes (identified as (a) through (k) as defined by ABET Criterion 3), specifically: (b) an ability to design and conduct experiments, as well as to analyze and interpret data; (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability; (d) an ability to function on multi
particles A and B that are, say, assumed to be moving in the sanle direction before aswell as after central impact with absolute velocities VA and VB' respectively, the linear impulseon the particle during restitution, r~dt 'd rId , divided by that during deformation, Jo Fd (t )dt is calledthe coefficient of restitution (COR) and given the symbol e [3]. e= (3)Here, FrCt) and Fit) are the resultant forces that are applied instantaneously to the ball during therestitution and
. Introduction Based Space Elevator a. Problem Statement b. Design Objectives • Optimization of a Traditional Transmission for an c. Background Electric Vehicle III. Decision Matrix • Automotive X Prize Motor and Battery a. Proposed Solution b. Alternative Solutions • Electric Vehicle Drive Train Control c. SWOT Analysis • Compost Bin: A Practical Approach to Composting IV. System Analysis • Scaled-Down Model of a Mechanically Stabilized a. Engineering
2 and 3. Page 15.964.5 STUDENT INSTRUCTIONS Position 0 sec Time1. Mark one blade with a piece of tape to serve as a reference point.2. Measure the length of a blade in centimeters. This is the amplitude(b)3. Sketch the rotor blades in the above circle graph on the left. Label the axes so the radius of the blades is accurately represented.4. Wind up the motor and determine the period in seconds.5. Label the x-axis (time) and the y-axis (position) on the graph above6. Determine the value of
grade B A A (result of the above, but in the letter form: A, B, C, D, or F with +/-) Recommended/Not Yes Yes Yes to stay on the team (n/a for this year, but please fill-in)Student experience and findingsStudents experience in the senior design industry-sponsored projects has been very positive.Students enjoyed the experience of working on a "real-world" problem, mentoring and feedbackfrom professional engineers and access to company resources where appropriate. Theexperience has enabled students to be a part of the intellectual process of real-world applications,instill a sense of fulfillment
Page 15.1168.3and an engaging context within which to motivate participants beyond the capability ofconventional approaches. Computerized simulations implemented expressly for educationalpurposes, sometimes also referred to as “Edutainment”25,26, can indeed be powerful tools forlearning. They allow learners to: a) manipulate otherwise unalterable variables, b) viewphenomena from new perspectives, c) observe large system behavior over time, d) posehypothetical questions to a system, e) visualize a system in multiple dimensions, and f) comparesimulation behavior with that of the “real life” system. By enabling students to interact directlywith a model of a complex system (e.g. a driving simulation), simulations place learners in aunique position
Video GPS Ground Plane Antenna Stamp Switching Overlay Antenna Circuit DVR Camera 1 Camera 2 Camera 3 Flow Chart 1 Page 15.1016.4 B. Project designWhen searching for a video transmitter we kept the FCC, FAA and environmental issues in mindand decided upon a Videolynx VM-70X transmitter. We chose this transmitter due to its lightweight, small size, its ability to transmit at a low frequency
collaborative work. It is hoped that atsome point, this can be a part of a meaningful GER program that will incorporate genuineinterdisciplinary collaboration, provide meaningful skills in communication, social interaction,the value of other points of view and first hand insight into other disciplines.1 Sprecher, Thomas B. "A Study of Engineer's Criteria for Creativity." Journal of Applied Psychology 43.2 (1959):141-147.2 Committee on Prospering in the Global Economy of the 21st Century. Rising Above the Gathering Storm.National Academies Press, 2007. Augustine, Norman R. Is America Falling off the Flat Earth? Washington, D.C.: The National Academies Press,2007.3 Coates, Joseph F. "Innovation in the Future of Engineering Design." Technological
, we expect our students to acquire these skills, and must develop a scalable modular approach to delivery. ≠ Utilization of Web 2.0 methods that are intensively used by today’s young adults, to develop projects by remote teams. These methods include among others wikis, blogs, and server-based file sharing such as Google Docs, Office Live, or SharePoint.Four summary product descriptions are included: MIT’s Lighter-than-Air project (Appendix B),USNA’s Dragonfly (Appendix B), Colorado’s composite lay-up and test (Appendix D), andMIT’s Skyscraper (Appendix E). The summary descriptions are the front end of multi-filepackages that faculty can download for review, adoption or adaptation to their project context.Three
:_____ • Job:___ Report B (Resultas and conclusions) Final report: Final Results and Conclusions SEVENTH STEP (Reports A and Reports B) Figure 4: application process of the Delphi method6. AcknowledgmentsThe research described in this paper was partially financed by the Spanish Ministry ofInternational Affairs and J. A. Goméz Cerezo Foundation in Valencia-Spain. Theauthors want to thank both organizations for their support.7. CorrespondenceEng. Ali Alshubbak, Ph.D
Engineering as a pluralistic pure scientific Research practice discipline research Publication Communication Economics Communication (Teaching) Environment Page 15.1374.6 (a) Academic engineering (b) Engineering practice Figure 1. Distinctions between academic engineering and engineering practice.The epistemology in contemporary engineering discourses is a multi-disciplinary one. Thestrictly technical focus, a past
further research. Educational Technology Review, (9), 10 – 14. 2. Arons, A. B. (1990). A Guide to Introductory Physics Teaching. New York: John Wiley & Sons. 3. Halloun, I. A. & Hestenes, D. (1985). The initial knowledge state of college students. American Journal of Physics, 53(11), 1043 – 1055. 4. McCloskey, M., Caramazza, A., & Green, B. (1980). Curvilinear motion in the absence of external forces: Naïve beliefs about the motion of objects. Science, 210, 1139 – 1141. 5. McDermott, L. C. (1984). Research on conceptual understanding in mechanics. Physics Today, 37, 24 – 32. 6. McDermott, L. C. (1991). A view from physics. In M. Gardner, J. Greeno, F. Reif, A. H. Schoenfeld, A. diSessa, and E
MaxAttendance at the group meetings 80 97 100100-always0-neverEasy / Hard to get in contact with 85 96 100100-very easy0-impossibleCompleting his/her part of the project 80 97 100100-always0-neverFinishing assignments in a timely 90 97 100manner100-on time or earlier0-always lateCollaboration with other team 80 94 100members100-commendable0-noneOverall grade B A A(result of the above, but in the letter form:A, B, C, D, or F with +/-)Recommended/Not Yes Yes Yesto stay on the team(n/a for this year, but please fill-in)Student experience and
aproject like this teaches one about suspension bridge basics in a hands-on manner. These lessonsare countless, but some examples are listed below: 1) How does one read structural engineering drawings? a. How can one utilize such drawings to reproduce a model, whether digital or physical? i. What is “CAD” and why, as a prospective civil engineer, is it important for me to learn the ropes of three dimensional computational modeling? b. How do these drawings give us the insight the chief engineer had when crafting the structure of the bridge? 2) How does a suspension bridge work? a. Why is there a cable and how
) Collect data from aerator in IDEAS 4) Design a floor plan for the aquaculture facility Center 5) Design a new impeller for the chosen pump5) Use a spreadsheet to calculate: using UGNX a. Total amount of oxygen transferred 6) Test the pump performance with the new from air to water impeller in the IDEAS Center b. Amount of electricity required to 7) Develop MATLAB math model to determine: run aerator a. Fish growth c. Costs associated with aerator use b. Feed conversion d. Statistics of class performance c. Amount of electricity required to run pumps data d
suggested program of study for Kettering University and include students with primarilyjunior and senior standing. During the Summer semester of 2009 three problems were assessedfor 43 students in the Fluid Mechanics classes only. During the Fall semester of 2009 threeproblems were assessed for each of the 179 students included in the study.Pre-test questions for the Summer distribution (Appendix A) were selected for the preview of thelongitudinal survey to cover partial derivatives, the dot product and equivalent force systems.Initial analysis of the equivalent force system pre-test question led to a host of failure modes, toomany to be useful, and the question was replaced with a more basic static equilibrium question(Appendix B). Identification
.”B. Legacy CycleThe legacy cycle developed as part of the RET program was implemented in the ninth gradeclassrooms of approximately 25 students each. The class was a good mix of male and femaleand included special education students. The classes were mostly Caucasian; with 3 Hispanicstudents and one African American student. The school is a Title I school which means thatmost of my students are low income. The legacy cycle was implemented in all blocks taught bythe participant as well as the classes of a fellow teacher. The legacy cycle was implemented atotal of 5 classes. It took nine, ninety-minute classes to complete the legacy cycle. The grandchallenge of the legacy cycle was: “You have been invited to attend a surfing competition with
. Drop arithmetic, algebra, pre-calculus, calculus, math 101, and sequential (the New York State name for high school mathcourses) as names of courses. Name these courses: numbers, continuous functions etc. Thestudy of chemicals is called, appropriately, chemistry. What should a student know after takingsequential II? Is pre-calculus all the junk a student should memorize before he is prepared forcalculus? Mathematics course names do not illuminate the course contents.Consider the two statements which some may consider as saying the same thing: A. At a maximum of a differentiable function, the derivative is zero. B. At a peak of a smooth curve on a coordinate system, the tangent line is horizontal.Statement A can be found
a movement and sensing mission (i.e. open a valve to maintain its position above the moon's surface).Programmer/Test Fixture RequirementsThis fixture will need to program and test the avionics (FPGA, FPAA). This device should alsodemonstrate the ability to: ≠ Communicate via Ethernet ≠ Communicate via USB ≠ Communicate via CAN busAppendix B: Designs Published for the December Poster Session (Two Posters) Page 15.903.13Page 15.903.14Page 15.903.15
AC 2010-1463: MAKING THE ABSTRACT COME ALIVE IN ANINTRODUCTORY ELECTRODYNAMICS COURSEDeborah Mechtel, United States Naval AcademySamara Firebaugh, United States Naval Academy Page 15.850.1© American Society for Engineering Education, 2010 Making the Abstract Come Alive in an Introductory Electrodynamics CourseAbstractIt has long been recognized in the engineering education community that practicallaboratory exercises improve student understanding of abstract engineering concepts. TheDepartment of Electrical and Computer Engineering at the United States Naval Academy(USNA), a four year undergraduate institution, meets this challenge by makinglaboratories
and planning to acquire ITskills. These reasons are (a) the growth of IT has created shortages in IT skills, (b) theadvancement in IT technologies have created new skills while eliminating outdated ones, and (c)the realities of downsizing, outsourcing and cost reductions. Their research discovered thatcurrent classifications reveal that the number of skills required range from 43 in curriculummodels and up to 97 that have been revealed from empirical studies. To understand thesemultitudes of skills, the skills were placed in two groups, the first as organizational level skillsincluding “organizational knowledge, abilities and skills as well as general IS knowledge, ISproduct knowledge/skills, and technical skills”.14 And the second group
proposition, its commercial feasibility, the various risk factors, and the resourcesrequired. The class was divided into five separate groups, but all groups worked on the sameoverall problem. Additionally, excerpts from the writings of thought leaders on innovation, suchas Carlson, Christensen, and Porter, were included. To give us more time for extendeddiscussions, the class met twice a week, for two lecture hours each time. The syllabus for the fallof 2009 is shown in figure 1.Our institution operates on a somewhat unusual academic calendar where each semester is splitinto two seven-week terms. Terms A and B are taught in the fall (September to December) andterms C and D are taught in the spring (January to April). During each academic term
fairly popular with the studentsincludes data collection on the time between orders of a fruit cup at a popular on-campus coffeebar. Prior to the exercise, students are asked to review the expectation and distribution modulesand explore distribution shapes via the plotter/calculator. Students are then given basicinformation, a timeline for data collection, and detailed information as to how data is to becollected. Following data collection, students are assigned to informal groups in class and askedto a) determine the underlying distribution and b) determine the parameters for the distribution.This is an enormously tough concept for students and initially, groups are slow to respond.Eventually however, one of the groups will propose a histogram
likely to be a “one-fits-all” prescriptive approach to tutoring. A tutor’s approachwill vary considerably depending on his or her personality and style, in much the same way thatthere are different ways to managing people in general. There is not necessarily a right or bestway. Instead, what might be needed is a set of guidelines that support a variety of goodapproaches.Bibliography1. Biggs, J. and Tang, C. (2007) Teaching for Quality Learning at University 2nd ed. Berkshire: SRHE & Open University Press.2. Prince, M.J. and Felder, R.M. (2006) Inductive teaching and learning methods: definitions, comparisons, and research bases, Journal of Engineering Education, 95(2), 123-135.3. Bowe, B., Flynn, C., Howard, R. and Daly, S. (2003
Lawani, M.S. is a doctoral student in strategy in the Department of Management and also a Fellow of the Robert B. Toulouse School of Graduate Studies at the University of North Texas. While his doctoral minor work was in Economics, he has a B.S. degree in Microbiology and received his MBA in Finance from East Carolina University. His research interests include Organizational governance structures: mergers; acquisitions; and alliances. His solo authored refereed paper has been published in the proceedings of the Decision Science Institute’ Department of Management. Page 15.929.1© American Society