became stale after years of use. Therefore, a new experiment to introducestudents to strain gages was desired.In an attempt to connect the new laboratory experiment as closely as possible to reality, wedecided to develop an experiment that used strain gages in the construction of load cells.Descriptions of experiments were found in the literature where students constructed load cells byapplying strain gages to pre-fabricated beams 1, 2. We considered such an experiment because itcould be easily implemented in one 3-hour laboratory session. However, it we also wanted todirectly address the design component of ABET’s Engineering Criterion 3(b) an ability to designand conduct experiments, as well as to analyze and interpret data. Therefore, we
research interests include biometric signalprocessing and adaptive signal processing. Dr. Etter is a Fellow of the ASEE, IEEE, and AAAS. She is also amember of the National Academy of Engineering and the National Science Board.THAD B WELCHThad B. Welch, PhD, P.E., is an Associate Professor in the Department of Electrical Engineering at the U.S. NavalAcademy, Annapolis, MD. His research interests include multi-carrier communication systems analysis, theimplementation of communication systems using DSP techniques, and RF propagation. Commander Welch is amember of ASEE, IEEE, and Eta Kappa Nu. E-mail: t.b.welch@ieee.org.YINGZI DUYingzi Du is an assistant research professor in the Electrical Engineering Department at the U.S. Naval Academy,Annapolis
escalate student engagementwith course content. As shown by B. Shneiderman a conceptual framework fortechnology-based learning and teaching has emerged as an engagement theory. 4 Thefundamental idea underlying engagement theory is that students must be meaningfullyengaged in learning activities through interaction with others and worthwhile tasks.While in principle, such engagement could occur without the use of technology, thetechnology can facilitate engagement in ways which are difficult to achieve otherwise.Thermodynamics together with other thermal-fluid sciences (thermodynamics, fluidmechanics, and heat transfer) are typically considered to be among the most difficulttopics taught in engineering curriculum.5 The Learning Tool described below
., IEEE (CDROM), 1996.25. Kolar, R. L., L. D. Fink, K. Gramoll, R. C. Knox, G. A. Miller, M. A. Mooney, K. K. Mura- leetharan, D. A. Sabatini, and B. E. Vieux, “Report on the Sooner City Workshop 2000 on Inte- grated Design,” Proceedings of 2001 ASEE National Conference, ASEE, CDROM, Paper #2525, 2001.26. Kolar, R. L., K. K. Muraleetharan, M. A. Mooney, and B. E. Vieux, “Sooner City – Design Across the Curriculum,” Journal of Engineering Education, 89(1), 79-87, 2000.27. Lamb, Y. R., “Tinkering with the Education of Engineers,” NY Times, Section 4A, pp. 7, April 2, 1995.28. Leake, W., “Most Likely to Succeed,” ASEE Prism, p. 9, April 1993.29. McWilliams, G., “Coming off the Drawing Board: Better Engineers?” SIAM News, pp. 17, 23
6 adequate 4 too little 2 0 a b c d e f g h I j Intended Educational OutcomeFigure 1: Adequacy of topic EmphasisIt is evident from Figure 1 that emphasis is too little on outcomes j (Integrated ManagementSystem using SAP software), g (planning and organization of maintenance), f (capacitymanagement and planning), and e (design coordination and TQM). Students are expressing thedesire to learn more using integrated software solutions
range and 86 per-cent are in the A-B range; and even more important with respect to this article s theme, “StephenCarr, McCormick s associate dean for undergraduate engineering, said the school s faculty hasdiscussed grade inflation and decided there was nothing wrong with it.”36II. Grade Inflation Is UnethicalEthics is “The discipline dealing with what is good and bad and with moral duty and obliga-tion.”37 This definition is consistent with that found in philosophy38-39 and the (axiomatic) prin-ciple that: “Certain aspects of right and wrong exist objectively, independent of culture or per- Page 9.645.2* See for example the references
© 2004 American Society for Engineering Education (a) (b) Figure 5. Subroutine (a) for noise filter and sub-subroutine (b) for thermocouple.Each experiment is conducted at room temperature (about 25 C). The set point was changedfrom 20 C to 50 C for all experiments. When the reset button is activated, the value zero is setfor all criteria. Iterations are divided by 150 to generate approximately one second for ITAE andITSE. Due to the draft air in the laboratory a cylindrical fence (3.5”φx7”h) was made to shieldthe lamp from the air current disturbance. The process reaction curve to a step change in the manipulated variable for C-C is shownin Figure 6 and the
. Engineering Economic Analysis. Engineering Press, Austin, TX, 1998.2. White, J. A., Case, K. E., Pratt, David B., and Agee, Marvin H., Principles of Engineering Economic Analysis, John Wiley & Sons, New York, NY 1998.3. Sullivan, W. G., Bontadelli, J. A., Wicks, E. M., Engineering Economy, Prentice Hall, Upper Saddle River, NJ, 1993.4. Young, D. Modern Engineering Economy, John Wiley & Sons, New York, NY 1993.5. Dahm, K. D. “Interactive Simulation for Teaching Engineering Economics,” Proceedings of the 2002 ASEE Annual Conference and Exposition, June 2002, Montreal.6. Dahm, K. D., “Interactive Simulation for Teaching Engineering Economics,” accepted for publication in Journal of SMET Education, Dec. 2003
1451 Las Vegas Energy Project An environmental investigation for the ninth grade science class Matthew G. Barbera, Nicholas B. Harthb a Department of Civil and Environmental Engineering b Department of Electrical & Computer Engineering and Computer Science College of Engineering University of CincinnatiAbstractAs part of a National Science Foundation grant at the University of Cincinnati, a projectfocusing on environmental issues and engineering impact was implemented in two highschool
. Pearle and L. M. Head, "Using your brain to build teams that work: a study of the freshman and sophomore engineering clinics at Rowan University," presented at Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition, Montreal, Quebec, 2002.[22] J. A. Newell, A. J. Marchese, R. P. Ramachandran, B. Sukumaran, and R. Harvey, "Multidisciplinary design and communication: a pedagogical vision," The International Journal of Engineering Education, vol. 15, pp. 379, 1999.[23] J. L. Schmalzel, A. J. Marchese, and R. Hesketh, "What's brewing in the engineering clinic?," Hewlett Packard Engineering Educator, vol. 2, pp. 6, 1998.[24] J. A. Newell, S
, science, and engineering with: a1. Knowledge in chemistry and calculus-based physics in depth a2. Mathematics through multivariate calculus, differential equations, and linear algebra a3. Probability and statistics a4. Mechanical engineering sciences: solid mechanics, fluid-thermal sciences, and material science b. Conduct experiments methodically, analyze data, and interpret results c. Design a system, component, or process to meet desired needs with applications to: c1. Mechanical systems c2. Thermal systems d. Function in teams to carry out multidisciplinary projects e. Identify, formulate, and solve engineering problems f. Understand professional and ethical responsibilities g. Communicate
students will be excited about learning and curious about the nextsteps in the development.The next two parts of the paper argue that students have better learning experiences ifthey understand something about the process of learning, something of the metacognitionof thinking about what they are thinking about.Understanding the Dimensions of LearningHere is the second key finding from How People Learn.Key Finding 2: To develop competence in an area of inquiry, students must: (a) have adeep foundation of factual knowledge, (b) understand facts and ideas in the context of aconceptual framework, and (c) organize knowledge in ways that facilitate retrieval andapplication.To address these points and help students understand the dimensions of learning
, Ms. Quale, and the following assignment is offered to you, which you accept. • PROBLEM STATEMENT: Develop a complete process flow diagram (with a continuous-flow reactor system at the heart of the process) of the entire operation that would produce 10 gal/h of your favorite gourmet food. Presentation (13 Points) and Written Report (12 Points) Requirements:In presenting (P) and reporting (R) your process design, you are asked to include the following: 1. BACKGROUND P: 2 Points R: 1 Point (a) Problem statement (b) Available data (batch system) (c) Name of the dish (d) Ingredients and quantities required for a given amount of the dish and the number of
to be 3 inches by 4 inches, with grounded mounting holes at the four corners. A 3/8 in minimum copper ground plane should be in place on the outside edge where possible. 2) The following components are to be used: a. D1, D2, D3, &D4 1N4007 b. U1 LM317 Voltage Reg. TO220 (no hole like 7805) c. C2 Cap Decoupling 0.1 uf ceramic d. R1, R3 ½ wt 0.5 in space
Session 3561 Promoting Professionalism in Traditional and Nontraditional Ways William Jordan and Melvin Corley College of Engineering and Science Louisiana Tech University Ruston, LA 71272AbstractFor a several years our Mechanical Engineering program has had a one semester hour seniorseminar. The purpose of the class is to promote professionalism and ethical behavior as seniorstudents transition to the professional workplace. This supports one of our program objectives.Recent assessment data suggested that the course had not
constantacceleration to solve the problem.TutorialThe tutorial addresses this issue with the following problem. A race car starts from restand accelerates at a = 5 + 2t ft/sec2 for 10 seconds. The brakes are then applied, and thecar has a constant acceleration of –30 ft/sec2 until it comes to rest. Determine (a) themaximum velocity; (b) the total distance traveled; (c) the total time of travel.The students are asked a series of qualitative questions such as: Sketch a rough graph ofacceleration versus time. What quantity is represented by the area under the graph? Atwhat time will the velocity be a maximum? After answering questions regarding thebehavior of the car, the students are led through a series of steps to determine thequantitative result. Throughout
IEEE Transactions on Software Engineering SE-2(1), March, 19764 E. Gamma et al., Design Patterns: Elements of Reusable Object-Oriented Software, Addison–Wesley Publishing, 19955 D. Sayers, The Mind of the Maker, Harper Collins, 19416 C. M. Reigeluth and F. S. Stein, “The elaboration theory of instruction,” appears in Instructional-design theories and models: An overview of their current status, C. M. Reigeluth, editor, Lawrence Erlbaum Associates, 19837 J. E. Stice, “A First Step Toward Improved Teaching,” appears in Engineering Education 66(5), February, 19768 B. Bloom, Taxonomy of Educational Objectives. Handbook I: Cognitive Domain, David MacKay Company, 19569 E. Gamma et al., Design Patterns: Elements of
second course in thesequence. The first course remains to cover the necessary topics unique to engineering design.The objectives of UI450 Capstone Experience are to: A. Simulate the environment of professionals in the student’s major discipline. B. Provide opportunity for open-ended and creative effort to solve an interdisciplinary problem. C. Develop skills useful for functioning on multidisciplinary teams. D. Develop oral and written communication skills useful to professionals in the student’s major discipline.These objectives are addressed by students working in groups to solve a problem requiringexpertise from at least two disciplines in the College of Science and Mathematics. The Collegeconsists of the
, Guntupalli Rajasekhar, Tony Baldwin, Gregory Waters,Gregory Smith, Robert C. Washington, Jason Tilghman, Carlton Snow, Matthew Watson, Jerry Reynolds, Ani Panoti, LevyLovell, Towanda Sample, Calvin King, Rebecca Howe, Eddie Daubert, Anthony Ross, Jamison White, James Watts, CoryCurtis, Firew Waktole, Bushara Dosa, Elhibir Abusin, Aghdam Freshteh, Amadi Williams, Jamal Mcnair, Ron Sampson,Patrick Enekwe, John Clemons, Nicole Saunders, Randy Gratton, Mahlon Pleasant, Saishyam Srinivas, Candice Snow,Carolyn Ruffin, John A. Wood, Commia Thomson, Onuan Akhigbe, David Benn and many others.Supporting Faculty/Staff and NASA Personnel: Mr. Rodney Spencer, Ms. Tracie Hedricks, Mr. Anthony Stockus, Mr. JamieMaldonado, Mr. James W. Webster, Mr. Roland Wescott
inactivestudents. SIMS identifies students as follows: 1 a. Entering from a high school. b. Changing majors, c. Texas Academy of Mathematics and Science (TAMS) student, d. Transferring from another University, e. Transferring from a Junior College, f. Transferring with military service courses, g. An international student,The order of the above list and the categorization of students into specific types below have nospecific meaning other than students have to be identified for discussion purposes. It is assumedthat other Universities have a student information management system that identifies students ina similar manner.Advisors use SIMS to study a student’s academic history to develop a degree
Session 2632 VLSI Design Curriculum Richard B. Brown, Dennis Sylvester, David Blaauw, Michael Flynn, Gordon Carichner and Catharine June Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor, Michigan 48109-2122Abstract—The Intel Foundation has funded a project at the University of Michigan to develop,document, and disseminate a world-class VLSI curriculum. This paper, which is the first presen-tation of the project, describes the overall curriculum at a high level
Point C (omissions) Point B Point A Time (lifetime) Figure 4. Graphical Representation of Understanding Differences Page 9.477.6 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Education things, often by omission, that are contrary to an effective diverse environment. Point B is anarbitrary location where an individual has a level of understanding
. Permeate flow rate: 32.7 ml/min Permeate solute concentration: 287.5 mg/l Assume no concentration polarization or fouling and that the feed concentration is kept constant with operating time. The following relationship exists for the osmotic pressure and solute concentration of the waste stream, πi/ci = 0.0134 psi/(mg/l). Determine the following: a) Solvent flux (kg/m2hr) b) Solvent permeability coefficient (kg/m2hr-psi) c) Solute flux (kg/m2hr) d) Solute permeability coefficient (m/hr) Page 9.1281.11 Proceedings of the 2004 American Society for
, the emphasis was on “distributed softwaredevelopment” with several provocative articles. Elizabeth Starrett, in the editorial column,wisely asked which distributed development concept the reader would prefer: distributeddevelopment of software, development of distributed software, or distributed development ofdistributed software1. Reading the entire article ignited a spark – what about the “distributeddevelopment of software professionals?” This is exactly the focus of this paper – the distributeddevelopment of software professionals around the world with the assistance of internationaluniversities recognized for their software engineering expertise, combined with the use of hybridlearning technologies, for providing high-quality credit and
. D. Eaton, Editors. American Public Health Association, Washington, DC.8. United States Environmental Protection Agency. 1996. The Volunteer Monitor's Guide to Quality Assurance Project Plans. EPA 841-B-96-003, September 1996. Office of Water, Washington, DC.Biographical InformationVIVIAN CHANG is a third-year student at the University of San Francisco majoring in Environmental Science andPolitics.ELIOT S. METZGER is a third-year student at the University of San Francisco majoring in Environmental Scienceand Business Administration with a minor in Politics.MICHAEL PAYNE is a third-year student at the University of San Francisco majoring in Environmental Scienceand Visual and Performing Arts.SONYA M. HAVENS is a recent graduate of the
-based homework assignments of the type described above can significantlyimprove their grades and stimulate learning. Students would not be able to invest thistime without any feedback provided by sophisticated computer program that stimulatesthem to improve their performance. The data shows that given an opportunity toimprove their performance, A-students have invested much more time in problemsolving than B-students.Arch 251 (4 lessons in a homework assignment) TAM 151 (10 lessons in a homework assignment) Number NumberCourse Time spent on computer Course Time spent on computer of
gratefully. Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Education Session # 1478Bibliography[1] Scharge, D.P and Vachtsevanos, G., “ Software-Enabled Control for Intelligent UAV’s” Proceedings ofIEEE International Conference on Control Applications, Hawaii, August, 1999.[2] Pascoal, A., Oliveira, P., Silvestre, C., Sebastiao, L., et. Al., “Robotic Ocean Vehicles For MarineScience Applications : The European ASIMOV Project” Proceedings of Ocean, 2000[3] Brutzman, D., Healey, T., Marco, D., and McGhee, B., “The Phoenix
-AlcornReport-072803.pdf 6. Elmore, B., Mariappan, J., and Hays, G., 2003, Improving Performance through Simulation - A Scenario- Based Learning Approach, White Paper - Experia Solutions, http://206.29.89.105/exp- learn/weblayout/doc/WhitePaper1.pdf 7. Elmore, B., Mariappan, J., and Hays, G., Scenario-based Learning vs. Role Plays and Case Studies, Experia Solutions White Paper, 2003, Available at, http://206.29.89.105/exp-learn/weblayout/doc/WhitePaper3.pdf Page 9.1083.6 8. Jonassen, D. H., and Hernandez-Serrano, J., 2002, Case-based reasoning and instructional design: Using stories to support
). A further introduction to finite element analysis of electromagnetic problems, IEEE Transactions on Education, v 34, n 4, p 322-329 10. Jensen, D. & Pramono, E., (1998). Method for teaching finite elements which combines the advantages of commercial pre- and postprocessing with student-written software, Computer Applications in Engineering Education, v 6, n 2, p 105-114. 11. Brinson, L.C., Belytschko, T., Moran, B. & Black, T., (1997). Design and computational methods in basic mechanics courses, Journal of Engineering Education, v 86, p 159-166. 12. Boronkay, T. G. and Dave, J. “Introduction of Finite Element Methods in the Lower Division Mechanical Engineering Technology
% 25% 5% 1. Generate and interpret schematics. X X ? 2. Sketch pictorials: a) Oblique X X ? b) Isometric X X ? 3. Sketch multiviews: a) Principal views X X ? b) Section views X X ? c) Detail views X X