Engineering, in the Engineering Properties of Construction Materials Laboratory where teamsof students design their own experiments to investigate the particle shape and surface textureanalyses of coarse aggregates.Keywords: ABET, Engineering Education, Enhancing Laboratory Testing Practices, Outcomesand Assessments, Criterion 3-(b).1. IntroductionThe quality of the performance of the students and graduates is one of the most importantconsiderations in the evaluation of an engineering program. [1] The Accreditation Board forEngineering and Technology, Inc. (ABET) has established a 'General Criteria for Basic LevelPrograms', and the Criterion 3-(a) through (k), 'Program Outcomes and Assessments', outlinesthe requirements for engineering programs
should briefly outline theirreasons for wanting to complete an undergraduate research project. Faculty mentors shouldprovide an assessment of the proposed research project considering the following factors. a) The time period during which the student will work on the project b) The total amount of time the student is expected to spend on the project c) The total amount of time the faculty member is expected to spend on the project d) The percentage of time the student is expected to spend on related activities such as laboratory work or data gathering, data analysis, other computer work, library work, and report writing e) In what other journal or conference their work might be presented besides presenting at the CBAS
Sampling Issues in the Design of Experiments for the Undergraduate Engineering Laboratory B. Terry Beck, David A. Pacey Mechanical and Nuclear Engineering Department Kansas State University Manhattan, KansasAbstractAn extremely important aspect of the proper design of an experiment is specification ofthe sample size, sample rate, and duration of test. When sampling real signal data fromthe wide variety of transducers currently available, the presence of noise, generated frommany sources, usually makes it necessary to sample the associated input signal numeroustimes in order to determine accurate statistical
University of Wisconsin-Milwaukee (UWM) College of Engineering and Applied Science (CEAS) Minority Programs, Initiatives and Partnerships By: Dr. Ester B. Johnson Director of DiversityThe primary purpose of the University of Wisconsin-Milwaukee is to provide Wisconsin ‘slargest metropolitan area with a major comprehensive university. In the fall semester of2003, UWM served over 24,000 students with a staff of about 3,000 employees and a2003-2004 budget in excess of $400 million. Given the size of the university andbreadth of its mission, the student population and the programs in which they areenrolled is
2004 American Society of Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering EducationTable 1. Module Developmenta. Select an application emphasisb. Develop a description of the applicationc. Prepare data appropriate to the applicationd. Review the underlying physics and equations of the applicatione. Review the applicable background mathematicsf. Apply the mathematics to the physics underlying the application with software tools to model and present the application datag. Compare theory with experiment and analyze the results and implicationsExample 1 a. Electrical Engineering b. Lumped Circuit DC and AC Analysis c. Ohm’ law and results from simple
. Hochgreb, J. R. Koseff, B. R.Munson, Cambridge University Press, 2000.12 “Lifelong Learning: a Preliminary Look at the Literature in View of EC2000,” R.M. Marra, K.Z. Camplese, T.A.Litzinger. Proceedings of the 1999 ASEE/IEEE Frontiers in Education Conference, pp 11a1-7.13 Engineering and Technology Enrollments 2003 Report, Engineering Workforce Commission, AmericanAssociation of Engineering Societies.14 US Department of Labor, Bureau of Labor Statistics. Highlights of Women’s Earnings in 2002. Report 972, Sept.2003. http://www.bls.gov/cps/cpswom2002.pdf15 Private communication, Sue Otwell, Office of Minority Programs, American Physical Society, 11/2/2003.16 Knight, D.W., Carlson, L.E. and Sullivan, J.F. (2003), “Staying In Engineering
Physics for the Modern Warrior: Bringing Innovation to Physics Instruction at the United States Military Academy Michael P. Shannon, Lance K. Calvert Department of Physics, United States Military Academy, West Point, NYAbstract The mission of the United States Military Academy is to educate, train, and inspire theCorps of Cadets so that each graduate is a commissioned leader of character. Every cadet whograduates from West Point receives a commission in the United States Army and subsequentlyserves as an Army officer in a myriad of capacities. This charge has taken on a much greatersignificance in light of the events of September 11, 2001. The world has changed greatly
2004-995 Engineering Ethics – A Collaboration between Engineering and Philosophy JoAnn S. Lighty, Margaret P. Battin, Angela R. Harris, Gordon B. Mower University of Utah, College of Engineering/ College of Humanities, Department of PhilosophyAbstractThe College of Engineering at the University of Utah has recently initiated a Center forEngineering Leadership, born out of a recently-awarded grant from the Hewlett Foundation,CLEAR (Communication, Leadership, Ethics, and Research). The Center’s goals are toincorporate communication skills, team building, and
ENVIRONMENTAL AWARENESS AND CLEAN ENVIRONMENT TECHNOLOGY S. B. Pidugu and S. Midturi University of Arkansas at Little Rock Department of Engineering Technology 2801 S. University Avenue Little Rock, AR, 72204AbstractThe University of Arkansas at Little Rock (UALR) partnered with the Arkansas Department ofEconomic Development Energy Office (ADED), the Arkansas Department of EnvironmentalQuality (ADEQ), Entergy and select local high schools to instruct the students in keyenvironmental issues facing Central Arkansas and the principles and
1793 Organic Qualitative Expert System Mario Garcia, Rajan B Gujjarlapudi, Kaushik Hatti, and Carl Steidley Department of Computing and Mathematical Sciences Texas A&M University Corpus Christi garciam@falcon.tamucc.eduAbstractThe idea of using a computer program to simulate a human expert ( i.e. an informant) in theQualitative analysis of Organic compounds has been introduced lately and it is gainingpopularity with the students day by day. This expert system does not intend to replace hands-onlaboratory work but it does
solving and theimportance of fundamentals.The integration of science, math and engineering is not a new concept. In a study performed bythe Board of Engineering Education under the National Research Council several key pointswere listed:7 a) Undergraduate education must include exposure to “real” engineering that is interdisciplinary, hands-on, and industrially relevant. b) A strong knowledge of how to learn must be instilled during the educational process. c) More of an emphasis on engineering design (creative synthesis) while maintaining the engineering science (analysis)Integrated labs have received much attention and research and integration is part of the newengineering education paradigm where subject matter, concepts
animation and visualization in a virtual soil mechanics laboratory” the 31st ASEE/IEEE Frontiers in Education Conference Proceedings, session T1C, Reno, NV, (2001) 7. Kocijancic, S. and O’Sullivan, C. “Integrating virtual and true laboratory in science and technology education” the 32nd ASEE/IEEE Frontiers in Education Conference Proceedings, session T2E, Boston, MA, (2002) 8. Tatum, C. B. Balancing engineering and management in construction education. Journal of Construction Engineering and Management, 113, 10-17 (1987). 9. AbouRizk, S. M., & Sawhney, A. Simulation and gaming in construction engineering education. Paper presented at the American Society for Engineering Education conference
EducationIntegrating a Peace Paradigm into Engineering Education Considering the existing ABET criteria, Criterion 3 focuses upon programoutcomes. The modified Criterion 3 incorporating a peace paradigm with the changestyped in bold, italics may be written as the following: Engineering programs must demonstrate that their graduates have: (a) an ability to apply knowledge of mathematics, science, and engineering (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 (d) an ability to function on multidisciplinary teams (e) an
). Learning Gap---Why Our Schools Are Failing and What We Can Learn from Japanese and Chinese Education, Summit Books, New York, NY.[8] Jordan, D. W. & Le Matais, J. (1997). Social skilling through cooperative learning. Educational Research. V. 39(1), 3-21.[9] McGourty, J., Besterfield-Sacre, M., & Shuman, L. J. ABET’s eleven student learning outcomes (a-k): Have we considered the implications?[10] Besterfield-Sacre, M., Shuman, L. J., Wolfe, H., Atman, C. J., McGourty, J. Olds, B. M., and Rogers, G. M. (2000). Defining the Outcomes: A Framework for EC-2000. IEEE Transactions on Education, Vol.43, no.2, 100-110.[11] Cabera, A. F., Colbeck, C. L., & Terenzini, P. T. (2001). Developing performance indicators for assessing
alligator connectors, four leads, a strong horseshoe magnet, a ruler, and a steel tape. Figure 1. A “trapeze”Procedures: Page 9.1189.2 1. Introduce the identity --- magnetic induction (B) and its units Tesla and Gauss.Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition, Copyright© 2004, American Society for Engineering 2. Demonstrate that a magnetic field will exert a force on electric current
= ΔU all of these 8. Which of the following is the definition of enthalpy? Q/T Q-W mcpΔT U + pV 9. The typical electric power plant relies on which energy conversion cycle? Brayton Otto Rankine Diesel 10. Which of the following expresses the second law of thermodynamics? a) Work cannot be completely converted into heat. b) Heat cannot be completely converted into work. c) Energy can be neither created nor destroyed in a system. d) The rate of mass flowing into a system equals the mass flow rate leaving.Figure 1. Test of Prerequisites in Thermodynamics II
/accounting principlemethod makes use of a straightforward form of the Reynolds Transport Equation:For the general property BΔB/Δtsys = flux of B into the CV – flux of B out of the CV + ΔB/Δtgen - ΔB/Δtcons (1)WhereB is an intensive property (see below), and CV is the control volume for the analysis.ΔB/Δtsys is the rate of change of B in the control volume.ΔB/Δtgen is the rate of generation of B within the control volume (source of B).ΔB/Δtcons is the rate of consumption of B within the control volume (sink for B).If we look at a given time step, this becomes:Bsys, end - Bsys, beg = Bin - Bout + Bgen - Bcons (2)We then applied this general equation to all problems and topics in the entire course.Equations 1 and 2 can be applied
follows: INTRODUCTION A) Power Safety B) Familiarization of Equipment C) Grounding Page 9.992.6 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Education GENERATION A) Characteristics of Polyphase Alternators B) Parallel Operation of Alternators C) Power System Operation Costs D) Frequency Regulation E) Power Sources and Load Factors
and for grading those products. Ph.D. students and/or Facultyfrom the School of Business provide an experience in team building early in the program to helpestablish an understanding the need for and means for good group dynamics. Outside lecturersalso provide perspective on Professional Registration, Design for Quality, Ethics in Industry, andIntellectual Property. Table 2: Presentations and Grading (*) by External Lecturers Expert Lecturer Lecture Content Target SubmittalStudent Placement Office Resume Writing Project Placement (4-days)Industry Mentors a. Project Kick-off a. PDR* in 4 weeks, b
impact and on the degree to which it meets its intended objectives. F. Continually improve We have developed a continuous improvement process based on the W. Edwards Deming model of Plan-Do-Check-Act (Figure 5). Four levels are involved in this process: Voice of the Customer, Program, Curriculum, and Course. Various activities occur at each level, and Level A. Plan B. Do C. Check D. Act I I-A I-B I-C I-D Voice of Identify constituents Develop program Assess effectiveness Modify process and the and solicit their input objectives
Session # 1793 Engineering a Difference: Outreach Component Aisha K. Lawrey, Suzanne B. Heyman, & Ronald H. Rockland New Jersey Institute of TechnologyAbstractPreparing students for STEM careers is the thrust of our campaign. We hope to arm the futureworkforce with the tools needed to fill the high-tech and healthcare needs for the world’s futuretechnology.The Pre-Engineering Instructional and Outreach Program (PrE-IOP), a collaboration of the NewJersey Institute of Technology’s (NJIT) Center for Pre-College Programs and Newark College ofEngineering, was created in 2001 to increase the
across load forboth polarities, that is, the voltage drop between points A and B in Figure 2. This does notchange with polarity (except for differences in the turn-on voltage of the LEDs used), and thestudents recognize that the circuit rectifies an AC square wave into a constant DC voltage dropacross the resistor. RED GREEN LED LED R A B GREEN RED
A Unified Approach to Nanotechnology Education J.D. Adams & B. Rogers Department of Mechanical Engineering and the Nevada Ventures Nanoscience Program, University of Nevada, Reno, 89557 Abstract We present an educational strategy intended to unify nanotechnology education not onlyas part of university curricula, but also for broader audiences. The implementation of thisstrategy includes the use of five primary content “blocks,” or modules, to teach the coreprinciples of nanotechnology to audiences with varying levels of understanding. In a universitysetting, freshman in science and engineering
channel 0 0 100 200 300 400 500 600 0 100 200 300 400 500 600 300 350 500 Pixel Number Pixel Number Pixel NumberFigure 2: (A) The microfluidic channel with blue food coloring in the left channel and water inthe right channel. (B) The red (dashed), green (dotted) and blue (solid) pixel values across theimage, averaged over all rows; the edges of the channel appear as dips in the brightness. (C) Thered pixel values at multiple positions along the length of the channel
differential equations. Appendix B shows the detailMath-Cadł program to perform this integration.Approach III- Math-Cadł Built-in Function rkfixed Page 9.848.5Proceedings of the 2004 American Society for Engineering Education Annual Conference &Exposition CopyrightÀ 2004. American Society for Engineering EducationThe Math-Cadł built-in function rkfixed6, which is an implementation of fourth-orderRunge-Kutta method, is used to solve the system of non-linear differential equations (12).The detail of calling this function in Math-Cadł is also shown in Appendix B.Results and DiscussionsFigure I, taken from Appendix A
found in PittsburgState University’s handbook, where academic dishonesty is defined and consequences discussed.Excerpts from the handbook follow:“Academic dishonesty by a student is defined as unethical activity associated with course workor grades. It includes, but is not limited to:Proceedings of the 2004 American Society for Engineering Education Midwest Section Conference a) Giving or receiving unauthorized aid on examinations. b) Giving or receiving unauthorized aid in the preparation of notebooks, themes, reports, papers, or any other assignments. c) Submitting the same work for more than one course without the instructor’s Permission, and d) Plagiarism.”Consequences are explained in the
for Engineering Education Annual Conference & Exposition Copyright ø 2004, American Society for Engineering Education”Figure 1: This figure shows the four AT devices developed by students in 2002-2003: self-lowering shelf assembly (A), motorized rotating tabletop (B), portable powered window opener(C), and motorized reach mechanism (D).AcknowledgmentsThis project was supported by a course development grant from the National CollegiateInventors and Innovators Alliance (NCIIA). Page 9.240.6 “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition
Process ofReaching Goals” Crisp Publications Inc3 Burnette, C. 1982 A Role Oriented Approach to Problem-Solving. In Olsen, SA., (Ed), Group Planning andProblem Solving: Methods in Engineering Management. New York, NY John Wiley & Sons4 Buzan, T. 1993 The Mind Map Book, New York, NY Penguin Group5 KAPKE, B. Allen, P., Bearne, A. & Smith, R. 1977 Energy Matter and Form: Toward a Science of ConsciousnessBoulder Creek, CA University of the Trees Press6 Wronecki, James A. 1999 The IdeasA+ Design Process, The University of the Arts Page 9.680.6 “Proceedings of the 2004 American Society for Engineering
. Kang, and P. A. Fishwick, eds. pp. 1595 -1601 7. Newberry, B and Farison, J. 2003, “A Look at the Past and Present of General Engineering and Engineering Science Programs,” Journal of Engineering Education, July 2003, pp.217-226. 8. Roberts, C. and Gosh, S., 2004, “A Proposed Model for an Undergraduate Engineering Program In Modeling And Simulation,” Proceedings of the 2004 SCS Western Multi-Conference on Simulation in Education, San Diego, CA. 9. Rogers, R., 1997. “What makes a modeling and simulation professional?: The consensus view from one workshop,” In Proceedings of the 1997 Winter Simulation Conference. Piscataway, NJ: Institute of Electrical and Electronics Engineers. 10
on Engineering and Technology Education that will be held in Guarujá / Santos-SP, Brazil, March 14-17, 2004.4. Chaib-Draa, B. and Desharnais J., “A relational model of cognitive maps,” Int. J. Human-Computer Studies Vol. 49, 1998, pp. 181-200.5. Montibeller Neto, G., Ackermann, F., Belton, V. and Ensslin, L., “Reasoning Maps for Decision Aid: A Method to Help Integrated Problem Structuring and Exploring of Decision Alternatives,” ORP-PARIS, September 26- 29, 2001 (http://mapage.noos.fr/orp-3/fichiers/Montibeller_ORP3.pdf, access: 02/29/2004).6. Bazzo, A. W., Palacios, E. M. G., Galbarte, J. C. G. et al., Introdução aos Estudos CTS (Ciência, Tecnologia e Sociedade). Madrid: Organização dos Estados Ibero-americanos para a Educação