project.The author thanks the contributions made by the above organizations. He also expresses hisappreciation to Dr. Mark Meyer of Advanced Educational Systems and Mr. Richard Kensley ofPiezo Systems Inc. for their technical assistance on the use of their products. Opinions expressedin this article are those of the author and not necessarily those of the NSF and companiesmentioned.REFERENCES1. Moini, H. and Barua, S., Development of Intelligent Systems Laboratory, National Science Foundation Grant DUE-9651082, 1996.2. Gandhi, M. and Thompson, B., Smart Materials and Structures, Chapman and Hall, 1992.3. Moini, H., "Concurrent Design of a Structure and its Distributed Piezoelectric Actuators," Smart Materials and Structures, 6, 62-66, 1997.4
their decisions. More importantly, students were encouraged to take moreresponsibility for their education. Ideal Class SessionsA typical discussion session for this course require the students to actively participate in thelecture. It is important to emphasize that the students must participate in these discussions. Theprofessor’s role is to make sure that the class stays on track to achieve their design goal. Inaddition, the professor serves as a starting point for finding the necessary information/reading toanswer the questions that arise in class. The cycle of discussions is as follows: a) The professor launches the discussion, e.g. design a laser. b) Class discusses the launch, in cooperative
programming.The vision systems used in the lab can utilize 4 to 8 video cameras at a time. Programming in fourdifferent robot languages, Scorbase, ACL, VALII, and AML/2, along with equipment mentionedabove, provide a flexible exposure to robotics and vision system interface. Hands-on operation andprogramming is provided each student working in small groups. Page 3.395.1 1A Dolan-Jenner model 640 Investigation System (ALIS) with Sony color camera, Dalsa Line Scancamera, several B/W cameras, monitor, and various lenses are used to investigate lighting and opticsconfigurations for different
Engineers: A Pre-requisite for Managing Effectiveness." ASEE Annual Conference Proceedings, Washington, DC: American Society for Engineering Education, 1995.5 Deighton, L. C. The Encyclopedia of Education. Vol. 3. New York: Macmillan Co & The Free Press, 1971.6 Plummer, M. C., Grubbs, Jr., A. B. & Kozak, M. R. "A Survey of Master's Degree Programs in Engineering Technology." Journal of Engineering Technology 12, no. 1 (Spring 1995); 8-11.7 96-97 Fact Book. Denton, Texas: University of North Texas Office of University Planning, 1997.8 Lashley, P. "Unchanging Melody." ASEE Prism 6, no. 8 (April, 1997); 35-37 MICHAEL R. KOZAKMichael R. Kozak, Graduate Program Coordinator, Department of
. From previousexperiences they expect a textbook to be a vehicle they can use without much effort and to be asubstitute for classes that are missed. With proper motivation, the database is expected to be aneffective tool in guiding the students through the textbook.3. The Hypertext FilesThe hypertext information files are meant to be used by the student in conjunction with readingassignments. Each file is associated with a small portion of the textbook and has been designedto guide students through the material by: a) pinpointing specific equations and portions of thematerial that are required b) providing further explanations and details where necessary, and c)identifying information that is not of immediate use.3.1 Details of the Hypertext
• Seek startup funds from your school or college. Department Heads and Deans are typically willing to give one-time funds for different things.BibliographyBerger, E. J., Diefes, H. A., Hamaker, K. H., Jones, J. D., McComb, S. A., Mulkay, E. L., and Oakes, W. C., “ASEEStudent Chapters: An Engineering Pipeline for Higher Education” ” Submitted for publication in the Journal ofEngineering Education. June 1997.Hamaker, K., Bunker, B., Oakes, W., Brazel, C., Kaya, A., Shahin, A., Banerjee, B., Takeuchi, Y., Wahl, T., andJones, J. D., “ASEE Student Chapters: An Engineering Pipeline for Higher Education” ASEE/IEEE Frontiers inEducation Conference, 1993. (Where)McComb, S. A.., Blevins, L., “Demystifying Academic Careers for Graduate
3.137.4 4in part this is why analogies, metaphors, and “everyday” examples are important pedagogicaltools.Organizing material effectively is also key to the learning process, and often faculty don'texplicitly address this issue. Figure 3 presents the best and worst case scenarios and argues that ifwe don't help students to understand how knowledge is organized in a discipline (concepts, [8]principles, theories), they potentially won't make the right connections. Figures 3(a) representsfragmented knowledge with no organization; figure 3(b) indicates connected networks ofconcepts
Design,” Earth Ethics: Evolving Values for an Earth Community, Vol. 7, No. 1, Fall 1995, pp. 11-12.[2] Technology Management and Policy web page, http://vlead.mech.virginia.edu/classes/tmp.html[3] Technology and Product Life Cycle course web page, http://vlead.mech.virginia.edu/classes/classes.html.[4] Graedel, T. E. and B. R. Allenby, Design for Environment, Prentice Hall, Upper Saddle River, New Jersey, 1996.[5] Rosen Motors web page, http://www.rosenmotors.com/[6] Carlson-Skalak, S., J. P. Leschke, M. Sondeen, and C. Lovecky, “Shape, Inc.’s Videocassette: A Nearly Sustainable Design,” submitted for publication in Interfaces, contact the authors for information.[7] Mehalik, M. and M. Gorman, “DesignTex Fabric Case Study,” Division of
explanation of the relationship of the device(or concept) to the fluid flow and/or heat transfer fundamentals discussed in class, and a technicaland, where possible, quantitative analysis of the parameters of the problem. Commentary on Page 3.384.2safety, environmental or societal impact is required as appropriate for the project. The papers aregraded with typical standards for written work (content, organization, style, grammar).In addition to the above requirements, the oral presentation must also show evidence of goodpreparation: a) smooth flow from one speaker to another and good budgeting of allotted time;b) clear speaking and effective visual
implementation of Engineering Criteria 2000 , two especially important criteria are: Criterion 2. Program Educational Objectives Each engineering program for which an institution seeks accreditation or reaccreditation must have in place (a) detailed published educational objectives that are consistent with the mission of the institution and these criteria (b) a process based on the needs of the program’s various constituencies in which the objectives are determined and periodically evaluated (c) a curriculum and process that ensures the achievement of these objectives (d) a system of ongoing evaluation that demonstrates achievement of these objectives and
the real line. The vertical axis, or set of “reconstruction values” is usually asmall set of real scalars. There are also vector quantizers which consider similarmappings in multidimensional spaces, but we only focus on scalar quantizers here. Thereconstruction levels have a one-to-one relationship with a set of N integers so that Page 3.477.3 b N = 2, Fig. 1. 2-Level Quantizer.Often, quantizers are “optimized” by using some knowledge of the input sequence tominimize the average amount of distortion incurred in the approximation
Method of Teaching and Evaluating Law Students”: Journal of Legal Education, 42, 447-4572. Cooper, H (1994). The Battle Over Homework: An Administrators Guide to Setting Sound and Effective Policies: Thousand Oaks, CA, Corwin Press Inc3. Cooper, H (1989). Homework: Longman, NY4. Doyle, M and Barber, B (1990). Homework as a Learning Experience. 3rd Ed, National Education Association5. England. D, and Flatley, J (1985). Homework – And Why. Bloomington, IN: Phi Delta Kappa Educational Foundation6. Lee, J and Pruitt, K (1979). “Homework Assignments: Classroom Games or Teaching Tools?”: Clearing House, 53, (1), 31-357. Sokol, P (1993): “Improvements in Introductory Physics Course”: New Directions for Institutional Research
the modulus of elasticity.Items 4 - Matrix AlgebraAt the associate degree level, little information regarding index notation and matrix algebraic operations isprovided. The rules that apply to multiplication of matrices are very useful in the representation of largenumbers of equations in a compact form and in a form that lends itself to index looping within a computerprogram.The general rule for matrix multiplication may be stated as follows: the multiplication of an M x N matrix, A,containing elements aij by an R x P matrix, B, containing elements bij is defined only if R = N and always resultsin a new M x P matrix, C, whose elements, cij, are given by the equation cij = Σaikbkj for k = 1 to n and n = P.In general the matrix product AB is
contents on situations as much real as possible. Instead ofjust measuring parameters from several electronic devices, the laboratory experiments should tryto “emulate”, taking into consideration the academic level of the students, the infrastructure, etc.,situation that the students can relate to. Similar conclusions have been extracted for otherengineering disciplines (Elizandro and Smith, 1997). As a matter of example, the freshmanelectronics laboratory in the UPC is structure in such a way that the different experiments that thestudents carry out are parts of a mini-project that is a house automation system Page 3.294.4REFERENCESCarlson, B
: Page 3.398.5> with (plots):> animate (S1n, t = 0..3.6, n = 0..36);Fig.5.a) Phase shift • 180° b) Phase shift • 0°• Let’s consider piecewise functions now. Maple has a command “piecewise” that will create apiecewise function based on an input statement. The command format requires a condition rangefollowed by the function value. For example, the unit step function, which is zero for t < 0 and 1 for t> 0, is defined in Maple as follows,> step := piecewise( t>0, 1, t<0, 0):> plot(step, t = -2..4); Fig. 6. Unit StepA truncated ramp or a saw tooth, from t = 0 to 2, is defined as,> saw := piecewise (t<0, 0, t>0 and t<2, t); 0 t<0 saw := { t
first major design requirement for Material World. Thus, the userinterface will be a graphical point-and-click type. The second major design requirement is thatMaterial World cannot be static but can be continually expanded and updated by anyone with aninterest in doing so, be that interest either personal or financial. As such, the Material Worldenvironment is be designed around three basic components: (a) tagged data file modules that contain the constitutive behavior of the material; (b) web browser plug-in programs for navigating Material World and for performing virtual processes and tests; and (c) html hyper-text documents containing procedures, theory and virtual tours.Data File Modules. All of the information
Session 2666 Learning By Design — What Have We Learned? Louis L Bucciarelli ECSEL, MITIn October, 1997, ECSEL held a workshop in order to assess, and continue to promote, theintegration of design throughout the engineering curriculum as a means of renovatingengineering education. The workshop was divided into three sessions: A first focused on the useof computers in support of learning by design; the second, on the integration of design intoengineering science courses, in particular, courses in mechanics; the third, on industry drivendesign and manufacturing
Page 3.633.8 Cliffs, NJ. Prentice-Hall.11 Ellis, A. & Harper, R. (1975). A new guide to rational living. Englewood Cliffs, NJ: Prentice Hall.12 Seat, Janie Elaine (1996). Women Engineers: Expectations and perceptions. Doctoral Dissertation. University of Tennessee, Knoxville, Tennessee.13 Thompson, Charles L. & Rudolph, Linda B. (1988). Counseling Children. 2nd Ed. Brooks/Cole Publishing Co., Pacific Grove, CA. BiographyELAINE SEATElaine Seat received B.S. and M.S. degrees in Mechanical Engineering and is a licensed Professional Engineer. HerPh.D. is in Sport Psychology from the University of Tennessee, Knoxville. She is a researcher at Lockheed MartinEnergy
an experience that is more complete and more efficient (in termso f t i m e s p ent ) t h an can b e p r o v i d e d b y a " r e a l w o r l d " p r o j ect .BIBLIOGRAPHY[1] Dekker, Don L., "Communication, Curiosity, Confidence, Creativity and Competence: Five Essentials in Thermal Design, ME 462", 1987 ASEE Annual Conference , Reno, Nevada[2] Dekker, Don L., "Communication, Curiosity, Confidence, Creativity and Competence: Five Essentials in Thermal Design, International Conference on Engineering Design 1987, Boston, MABIOGRAPHICAL INFORMATIONDon Dekker, Professor of Mechanical Engineering, teaches Thermal Design at Rose-Hulman Institute of Technology.Some of the other courses he is involved with are Internal Combustion Engines
. The Cal State L.A. MESAPre-College Center has been highly successful in preparing and motivating students for engineeringstudy.The School's Dean, Dr. Raymond B. Landis, is a nationally recognized leader in minorityengineering education. He founded the first Minority Engineering Program (MEP) in California atCSU Northridge in 1973 and served as its director for ten years. In 1983, he led the effort toestablish MEPs in other California engineering schools. Currently, 20 California universitiesoperate MEPs based on his "community building / collaborative learning" model. Dean Landis iswidely published and a frequent consultant to universities on minority engineering education. Heedited the definitive document on minority engineering student
the time toanticipate them and implement a sound assessment/feedback program. However, avoid merelycopying what other schools have done. Your program has to be customized to your own uniqueneeds, and continually updated and improved.BIOGRAPHICAL INFORMATION THOMAS K. JEWELL is the Carl B. Jansen Prof. and Chair of the Dept. of Civil Engineering, UnionCollege, Schenectady, NY. He has a BS degree from the United States Military Academy, has MS and Ph.D.degrees from the University of Massachusetts/Amherst, and is a registered professional engineer. Publicationsinclude texts on systems analysis and computer applications. Research interests are in civil engineering hydraulics
based on a pattern recognition approach,” Control engineering, 1984, pp. 106- 111.5. Astrom, K. J., and Hagglund, T. ,“Automatic tuning of simple regulators with specifications on phase and amplitude margins,” Automatica, 1984, No, 20, pp. 645-65 1.6. Porter, B., “Issues in the design of intelligent control systems,” IEEE Control systems magazine, 1/9889, pp. 97-99.7. Porter, B., and Jones, A.H.’ “Genetic tuning of digital PID controllers,” Electronic letters, Vol. 28, No. 9, pp. 843- 844, 1992.8. Psaltis, D., Sideris, A., and Yamamura, A.A., “Multilayered neural network controller,” IEEE control systems magazine, 1988.9. Narendra, K.S., and Parthasarathy, K., “Identification and control of dynamical systems using neural networks
Session 2230 Personality and Teaching /Learning Engineering E. Dendy Sloan, Jr. Colorado School of MinesHow do people prefer to learn? Is it possible that grades are awarded based uponpersonality, rather than ability? Are some personality types “weeded out” of engineeringbecause they are different from professor personalities? How closely do engineeringprofessor personalities match those of practicing engineers?Questions like the above were of concern to ASEE, particularly the Education, Research,and Methods (ERM) Division, who subsidized a 1980 study of 3,718
theCable Loss lab, which can be found in Appendix A. This lab handout provided initial directionand an example to follow. It was also the last detailed task that the class was given. For theremainder of the semester, the nine students as a group created their own weekly lab descriptionsalong with the schedule for the semester, which can be found in Appendix B. Their effortsresulted in a course outline that was virtually identical to the one that would have been given tothe class, with one important improvement. Their outline had pride of ownership, which provedinvaluable in tackling the ill-defined task assigned to them.This ill-defined goal seemed to make the course appear more as a research project than a weeklylab sequence. In many ways, this
oftransmitting information. To help address this challenge, the author attended the one-week NSF-sponsored short course Teaching Teachers to Teach Engineering (T4E) held at the United StatesMilitary Academy1,2. The first year (Summer, 1996), the author was a participant; the secondyear (Summer, 1997), he was a consultant.This paper describes several innovative teaching methods that include the T4E methods and thoseinspired by T4E. The general goal was to increase student involvement in the lesson with theunderlying premise that along with increased involvement comes increased student learning. Thespecific objectives of the methods were to: a) enhance understanding and comprehension, b) appeal to different learning styles, and c
Acoustics, Speech, and Signal Processing, vol. 1, pp. 20–30, April 1993.[3] Jacquot, R. G., Hamann, J. C., Pierre, J. W., and Kubichek, R. F., “Teaching Digital Filter Design Using Symbolic and Numeric Features of MATLAB,” ASEE Computers in Education Journal, vol. VII, no. 1, pp. 8–11, January-March 1997.[4] Porat, B., A Course in Digital Signal Processing, John Wiley & Sons, Inc., 1997. Page 3.535.8[5] Ingle, V. K., and Proakis, J. G., Digital Signal Processing Using MATLAB V.4, PWS Publishing, 1997.[6] Mitra, S. K., Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 1998.[7] Ambardar, A
=0.160, Figure 14. Similarity of Population Groups (basedand subject14=0.190 while the average for the on experience) to the Expertremaining subjects in the stat-1 group is 0.115 andthe average for the stat-2 group is 0.178). Two of these three subjects are juniors enrolled instatistics and expecting an A. The third subject is a freshman enrolled in statistics and expectinga B. Perhaps this student is a student with a natural tendency toward understanding statistics.Are these students (particularly the freshman) particularly good statistics students. It would beinteresting to track them in Stat-2 and observe their performance.5.2. FeasibilityOverall, the pilot study demonstrated the feasibility of carrying out a
. Special Report: Training. June 19, 1996.12. Biemiller, L. (1997). Expert Warns of ‘Culture of Simulation’ in Speech at EDUCOM Conference. The Chronicle of Higher Education: Academe Today. Friday, October 31, 1997, p. 1.13. Luskin, B. J. (1996). Toward an Understanding of Media Psychology. The Journal: Technical Horizons in Education. February 1996, Vol. 23 (7), P. 83.14. Hannafin, M. J. and Peck, K. L. (1988). The Design, Development and Evaluation of Instructional Software. New York: Macmillan Publishing Co., p. 8.15. Quant Systems (1996). An Overview of the Adventures Concept. Adventures in Operations Management.16. Jafari, A. (1997). Issues in Distance Education. The Journal: Technical Horizons in Education – Online
): δA δ βˆ κ(A ) ≥ (10) A βˆ + δ βˆwhere κ (A) is the condition number of the normal matrix and δA is the matrix of errors in A. Asimilar equation relates the error in b, δb, to the error δ βˆ : δβˆ δb ≤ κ(A ) (11) βˆ bThe condition number is the ratio of the largest to the smallest eigenvalue of A. If the conditionnumber is large, the δA and δb are amplified considerably in the calculation of βˆ , yielding
view of a mentored teaching program," 1997 ASEE Annual Conference Proceedings, Paper 1532, June 1997.[2] B. S. Bloom, Taxonomy of Educational Objectives Classification of Educational Goals. Handbook I: Cognitive Domain, McKay, New York, NY, 1956.[3] C.~ C. Bonwell and J. A. Eison, "Active learning: Creating excitement in the classroom," ASHE-ERIC Higher Education Report, No. 1, George Washington University, 1991.[4] P. Dail, "Techniques for teaching in large classes," 1997 ASEE Annual Conference Proceedings, Paper 1213, June 1997.[5] R. M. Felder and R. Brent, "Cooperative learning in technical courses: Procedures, pitfalls, and payoffs," Technical Report for National Science Foundation