-core and multi-processor systems as it is to single-core systems. Figure 1shows some examples of graphical programming languages based on dataflow paradigm. (a) Ptolemy[8] (b) NI LabVIEW[9] Figure 1. Examples of Graphical Programming Languages based on Data Flow ParadigmAs it can be seen in figure 1, almost all the true graphical programming languages use a blockdiagram format that coincides with the way engineering students are taught algorithms anddesigns. This makes it easy for them to translate the theory they learn in class to actualexperiments that run on hardware. Graphical programming also presents a “black box” approachto targeting common hardware platforms. As it can be seen in
). If you did not personally address an ethical/professional dilemma, identify one from your project that should be addressed, then analyze this situation.Team ProcessesTeam Member Citizenship Rate members of your team (including yourself) on their actions contributing to an effective team. In table each cell, assign a person a rating (1-5) for each of the 12 actions, based on definitions given. Next, identify members’ percent contributions to project achievements this term. For each of your team members (including yourself): a. Assess a key strength: Describe what makes it strong, and identify impacts this strength has in making your team work together better. b. Recommend an improvement: Define specific actions to
. Works Cited1. Barret, H., and Carney, J. “Conflicting Paradigms and Competing Purposes in Electronic Portfolio Development.” Educational Assessment, a Lawrence Erlbaum Associates, Inc., 2005. Accessed on Novemver 13, 2006 from http://electronicportfolios.org/portfolios.html#pubs.2. Butler, P. “A Review Of The Literature On Portfolios And Electronic Portfolios.” eCDF ePortfolio Project. Massey University College of Education, Palmerston North, New Zealand, 2006.3. Carney, J. “What Kind of Electronic Portfolio Research Do We Need?” Presented at the American Education Research Association, 2004. Accessed on December 2, 2006 from http://electronicportfolios.com/research.html4. Doig, B.; Illsley, B.; McLuckie, J.; Parsons, R
Processing Education Workshop, Pine Mountain, GA, Sept. 2002. [2] A. J. S. Ferreira and F. J. O. Restivo, “Grasping the potential of digital signal process- ing through real–time DSP laboratory experiments,” in Proc. IEEE Signal Processing Society’s 2nd Signal Processing Education Workshop, Pine Mountain, GA, Sept. 2002. [3] C. H. G. Wright, T. B. Welch, D. M. Etter, and M. G. Morrow, “Teaching DSP: bridging the gap from theory to real–time hardware,” Computers in Education Journal, vol. 13, no. 3, pp. 14–26, July–September 2003. [4] T. S. Hall and D. V. Anderson, “From algorithms to gates: Developing a pedagogical framework for DSP hardware design,” in Proc. IEEE Signal Processing Society’s 2nd Signal Processing Education
postgraduate education for Engineers in IndustryBecause of the need to continue the education of the engineers in industry that provide theinnovation that drives the U.S. Economy, the University faculty members that provide thispostgraduate education must be properly compensated relative to the engineers that they instruct.The pay scales of these faculty members must fit on the scale of engineering levels as shown inAppendix A. If this is done, then the faculty will be more willing to assume these additionalduties, and the postgraduate programs promoted by the National Collaborative for EngineeringGraduate Education Reform, can take place.[Please review appendices B-F for additional information
AC 2007-1518: INFUSING AN INTERDISCIPLINARY AUTOMATIONEXPERIENCE IN ENGINEERING TECHNOLOGY EDUCATION.Donald Richter, Eastern Washington University DONALD C. RICHTER obtained his B. Sc. in Aeronautical and Astronautical Engineering from The Ohio State University, M.S. and Ph.D. in Engineering from the University of Arkansas. He holds a Professional Engineer certification and worked as an Engineer and Engineering Manger in industry for 20 years before teaching. His interests include project management, robotics /automation and air pollution dispersion modeling. Page 12.892.1© American Society for
professional M. E. Degrees from Columbia University. He is a registered Professional Engineer. He has worked for many years in the aerospace industry in design, analysis and management functions, including Thermal Mission Analysis of the Lunar Module from Apollo Project.Lorcan Folan, Polytechnic University Lorcan M. Folan is Head of the Department of Physics at Polytechnic University. He holds a B. Sc in Applied Science from Trinity College, Dublin and M.S. and Ph. D. degrees in Physics from Polytechnic University. Page 12.766.1© American Society for Engineering Education, 2007Freshman Project: Autonomous
Education (Minneapolis, Minnesota, USA, October 19 - 21, 2006). SIGITE '06.ACM Press, New York, NY, 71-76. DOI= http://doi.acm.org/10.1145/1168812.1168831[8] Dettori and Settle (2005). Course Mentoring: Toward Achieving Consistency in theCurriculum. Information Systems Education Journal, 3 (25). http://isedj.org/3/25/. ISSN: 1545-679X. (Also appears in The Proceedings of ISECON 2004: §2435. ISSN: 1542-7382.) 8[9] Cobb, M., Giordano, J and B. Cook, “A Comparison of Assessment Techniques in a First YearTechnology and Programming Course – In-Class Graded Labs vs. Out-of-Class Projects” inProceeedings of 36th Annual Frontiers in Education Conference, Oct 2006 13-14
example is to compute the volume averaged flux over a sphere with a point source at the center, whichis again easily related to path-length.Doing these two calculations involves simply setting up some integrals, and knowing that φ goesas 1/(4πr2 ). The integrals that result are relatively elementary, but the integrals in the two ap-proaches (volume average of φ vs. path-length computation) do not at first appear related. Theyare presented in detail in Appendix B. In doing these two integrals students will discover that theyyield the same result: the volume average scalar flux over the sphere is equal to the rate at whichpath-length is generated only within the sphere divided by the volume of the sphere. Studentsshould be reminded here that the
be assessed on the basis of: • Team reports which include the treatment of experimental data and assignment work; • Individual reflective journals on investigative work underpinning these reports as a part of student’s portfolio. Table 3. FORMALISED AND STRUCTURED KNOWLEDGE (Lectures) Part A: Skills Assessment Task Part B: Skills Assessment Task (1.5 hours) (1.5 hours) Individual portfolios including reflective journal and tutorial tasks Part A: Student - Centred Part B: Student - Centred Activities Activities Open-ended Research and Experimentation and Discovery
for enforcement in 2012. The snowmobile design and performance was publishedin a technical paper which was presented by the faculty advisor and one of the students at aprofessional society conference.5 Further, because the use of ethanol as a fuel is important tofarmers, this applied research was supported by a grant from the Michigan Corn Growers 300 B ra k e S p e c ific E m is s io n s (g /K W -h r) 250 200 150 100
second week of November, the teamscompete in a race in the parking lot adjacent to the engineering building. The parking lot isabout 300 feet long and has an elevation gain of about 10 feet.Each team is required to analyze and predict the vehicle’s velocity profile. The prediction mustbe compared to the data collected by the vehicle’s microprocessor and electrical subsystems.Several constraints are specified for the design effort. The vehicle has to be a) untethered; b)powered by a specified solar panel; c) fabricated at the College with the help of the Collegemachinist; and d) must to cost less than $300. The effort has to result in a working prototype, aperformance prediction, and a system to collect vehicle performance data. Each team is
three items from the questionnaire: (a) “Virginia Techis a good place to work”, (b) “I feel I ‘fit in’ at Virginia Tech”, and (c) “Overall, I am satisfiedwith my job at Virginia Tech”. Respondents gauged their agreement to these and otherquestionnaire items using a four-point scale (1=strongly disagree; 2=somewhat disagree;3=somewhat agree; 4=strongly disagree). It is common in social science research to clustersimilar questionnaire items in what are called factors or scales and to confirm their reliabilitythrough a statistical procedure called factor analysis. A complete list of all the questionnaireitems in each of the scales appears in an appendix at the end of the paper. A reliability index(Chronbach Alpha) is included with each scale.Most
Improvement Improved A -B C-D A-B C-D From B to A Their Grade Fall 2005 66 % 0 % 24 % 10 % 6 19 % Spring 2006 59 % 0 % 12 % 29 % 3 17 % Fall 2006 30 % 3 % 33 % 33 % 5 14 %Students improved grades by participating in the SI sessions. It should be noted that thegrade improvement from B to A is observed to be common and the percentage of gradeimprovement is acceptable which does not skew the overall grade of the class. Studentswho achieve a
the dimension of the 3D object,and change the light, color, and view point. However, when a new 3D object generates, all 3Dobjects in the scene have to be redrawn. This takes both computer and Internet resources.Regular 3D objects, such as balls, boxes and cylinders, can be drawn in the system but the shapeof the 3D objects cannot be changed.The VCR system uses multiple working and manipulation spaces to generate new objects, set uplight sources, view points, and manipulating objects. The user needs to input parameters, such ascolor R, color G, color B, translation X, translation Y, and translation Z. For a computer graphicsprogrammer, these parameters are easily understood. However, for general users, these abstractparameters can be
wiser engineers.References[1] Bilén, S.G., Bernal, L.P., Gilchrist, B.E., and Gallimore, A.D., “The Student Space-Systems FabricationLaboratory: Enhancing Engineering Education Through Student-Run, Real-World Projects,” ASEE-NCS 1999Spring Conference, Pennsylvania State University Erie-Behrend, Erie, PA, 8-10 April 1999, pp. 68-72.[2] Liu, T., Deline, C., Ramos, R., Sandoval, S., Smetana, A., Gilchrist, B., Washabaugh, P., and Renno, N.,“The Student Space Systems Fabrication Laboratory: An Approach to Space Systems Engineering Education,”ASEE-2006-1917, 113th ASEE Conference, Chicago, IL, 18-21 June 2006.[3] Bilén, S.G. and Bernal, L.P., “The Vortex Ring Transit Experiment Get Away Special Project: UsingProjects Sponsored by
. Transistors Transistors NCL Gate Boolean Function (static) (semi-static) TH12 A+B 6 6 TH22 AB 12 8 TH13 A+B+C 8 8 TH23 AB + AC + BC 18 12 TH33 ABC 16 10 TH23w2 A + BC 14 10 TH33w2 AB + AC 14 10 TH14 A+B+C+D 10 10
Job SatisfactionIn his book, Motivation and Personality, Abraham Maslow in 1954 broke down human needsinto five main categories that include the (a) physiological needs, (b) safety needs, (c)belongingness and love needs, (d) esteem needs, and (e) self-actualizing. 14 Page 12.1419.5 Hierarchical Motivational Level Characteristics Physiological Needs Most basic of needs The foundation of all other needs Need for food nutrients, shelter, clothing, and procreation Safety Needs Need
., Holger, D., and Zachary, Loren, (2002) “Achieving a Global Academic Industrial Network for Students and Faculty,” Proceedings of the 2002 ASEE Annual Conference & Exposition, Montreal, Quebec.7. Eisenberg, S.R., Murray, J., and DeWinter U., (2003) “Developing a Study Abroad Opportunity for Engineering Undergraduates,” Proceedings of the 2003 ASEE Annual Conference & Exposition, Nashville, TN.8. Eljamal, M. B., Pang, S. W., and Edington, S. J., (2005) “Gaining International Competence: A Multi-Faceted Approach to International Engineering Eduation,” Proceedings of the 2005 ASEE Annual Conference & Exposition, Portland, OR
12.490.2Rather than researching new cryptographic algorithms, our students focus on evaluatingcryptographic implementations in the context of particular enterprise security goal(s). Inthese evaluations, our students draw on existing standards and standard organizationssuch as the Security Requirements for Cryptographic Modules (FIPS-140) [2] and theNational Institute for Standards and Technology (NIST). A look at sample learning goalsfor our laboratory module’s will help illustrate this.Sample Module GoalsAt the end of this class, students will be able to:1. Apply cryptographic services to: a. Conceal information within a file (encryption). b. Verify a file’s integrity c. Authenticate a file’s origin2. Provide evidence of non
see no reason NOT to join ASEE unless you are: a) not interested in professional development, intellectual discourse, or career advancement, or you are b) professionally comatose.Faculty members can provide endless support in the campus representative’s efforts toincrease membership. One should never feel alone in the process. But one does have toface obstacles that may take much more effort than expected. One would assume thateveryone should feel that an educational society would have people breaking down thedoors of the organization to become members. As I alluded to earlier, this is not alwaysthe case. It is a reality all campus representatives must face an obstacle that occurs in theold saying
,” Hydrocarbon Processing 80 (2001) pp. 100-108. 103 Cao, L., and Bengu, G., “Web-based agents for reengineering engineering education” J. Educational ComputingResearch, 23 (2000) pp. 421-430.4 Watson, J. B. and Rossett, A. (1999). “Guiding the Independent Learner in Web-Based Training, EducationalTechnology,” Vol. 39, Number 3, May 1999.5 Deci, Edward L., and Ryan, Richard M. (1985). “Intrinsic Motivation and Self-Determination in HumanBehavior.” New York: Plenum Press6 R. Uhlig, S. Viswanathan, “Effective Design, Instruction and Assessment of an On-Line Engineering Course”,Proceedings of the Spring Mid Atlantic Regional Conference of ASEE, Brooklyn New York, 20067 B. Miller, N. L. Cohen, P. Beffa
technology is expected to occur in the 21st century. In imparting the common technical core, students should understand the fundamentals of several recognized major civil engineering areas. (Note: The portion of this commentary which states “students should understand the fundamentals of several recognized major civil engineering areas” differs from ABET Program Criteria for Civil and Similarly Named Engineering Programs7 which calls for “proficiency in a minimum of four recognized major civil engineering areas.”)2. An ability to design and conduct experiments, as well as analyze and interpret data. (ABET b) Commentary: Civil engineers frequently design and conduct field and laboratory studies, gather data, create numerical and
AC 2007-1686: INCORPORATING NANOSCALE SCIENCE AND ENGINEERINGCONCEPTS INTO MIDDLE AND HIGH SCHOOL CURRICULAShanna Daly, Purdue UniversityKelly Hutchinson, Purdue UniversityLynn Bryan, Purdue University Page 12.873.1© American Society for Engineering Education, 2007 Incorporating Nanoscale Science and Engineering Concepts into Middle and High School CurriculaAbstractThis study is a first step in the investigation of the issues involved with incorporating nanoscalephenomena concepts in the middle- and high-school curricula. During a two-week summerworkshop held by the National Center for Learning and Teaching Nanoscale Science andEngineering
which wasdetermined to be a series of facilitated roundtables on various topics. The Summit would beginwith an overall vision of the future provided by a noted futurist. Each roundtable would bepreceded by an invited presentation on a specific topic and a concluding Summit activity wouldfocus on crafting a series of visions.Stephen Bechtel, Jr. and Patricia Galloway were invited to serve as honorary co-chairs of theSummit. Parallel to the Task Committee’s activities, the ASCE Foundation began an effort toraise the necessary funds to conduct the Summit. Supporters of the Summit on the Future ofCivil Engineering, without whom this gathering would not have been possible, were: Stephen D.Bechtel, Jr.; AECOM; ASCE Foundation; B & E Jackson &
continue adding team members.CPCG RulesThe rules of CPCG are simple and can be explained in a matter of minutes. This providesmaximum opportunity to play the game as questions from participants are few. The basicrules of CPCG are summarized as follows: 1. Each player receives a deck of standard playing cards. 2. Remove Jokers and any other extra cards. 3. Shuffle the cards and place the deck on a surface. Keep the cards in one pile. Do not divide the cards into multiple piles until indication is given to start the game. 4. When told to begin: a. Sort by suit (Diamonds, Hearts, Spades, Clubs) b. Sort Ace to King. 5. When complete indicate to game leader. In teams
Engineering Institute,Addison-Wesley, Reading, MA, 1997.7 Humphrey, Watts S., PSP – A Self-Improvement Process for Software Engineers, Software Engineering Institute,Addison-Wesley, Reading, MA, 2005.8 Humphrey, Watts S., Managing the Software Process, Software Engineering Institute, Addison Wesley, Reading,MA, 1989.9 Humphrey, Watts S., TSP Leading a Development Team, Software Engineering Institute, Addison Wesley,Reading, MA, 2006.10 Humphrey, Watts S., A Discipline for Software Engineering, Software Engineering Institute, Addison Wesley,Reading, MA, 1995.11 Chrissis, Mary B., Mike Konrad, and Sandy Shrum, CMMI Guidelines for Process Integration and ProductImprovement, Software Engineering Institute, Addison Wesley, Reading, MA, 2003.12
colleges and universitiesbut also to US academic programs that teach core curricula and research programs on thissubject.The contents of the course are described below.Site Analysis and Environmental Restoration a. Radioactivity – The process of radioactive decay; Half-life and activity, Important radioisotopes in wastes and contaminated environment – 6 lectures Page 12.1280.3 b. Radiation Interaction with Matter – Alpha, beta, gamma, and neutron range- energy relationships; Interaction mechanisms - 6 lectures c. Biological Effects of Radiation – Radiation Dose Units, Dose calculations – 8 lectures d. Classification of Wastes – High
?” Journal ofEngineering Education, October 2001.2 Hodge, B. K. and W. G. Steele, “A Survey of Computational Paradigms in Undergraduate Mechanical Engineering Education,” Journal of Engineering Education, October 2002.3 Chapra, S. C. and R. C. Canale, Numerical Methods for Engineers, 5th ed., McGraw-Hill, 2006.4 Dietel, H. M. and P. J. Dietel, How to Program C++, 4th ed., Prentice-Hall, 2002.5 Estell, J. K., "The Faculty Course Assessment Report," Proceedings of the Best Assessment Practices VII Symposium, Rose-Hulman Institute of Technology, Terre Haute, IN, April 2005. Page 12.1367.7 Appendix
three key findingsof research on learners and learning outlined in the NRC publication are4: 1. Students come to the classroom with preconceptions about how the world works. If their initial understanding is not engaged, they may fail to grasp the new concepts and information that are taught, or they may learn them for purposes of a test but revert to their preconceptions outside of the classroom. 2. To develop competence in an area of inquiry, students must: a. have a deep foundation of factual knowledge, b. understand facts and ideas in a conceptual framework, and c. organize knowledge in ways that facilitate retrieval and application. 3. A metacognitive approach to instruction