greateropportunities for networking.’8 Dr. Raymond B. Landis, Dean of Engineering and Technology at California State University, haspropounded collaborative learning techniques. He instituted a highly successful program at hisinstitution for enhancing the retention of minority students. He has offered his expertise andexperience through a series of workshops. Through funding provided by NSF’s SUCCEED(Southeastern University and College Coalition for Engineering Education), two engineering facultyfrom Virginia Tech attended Dr. Landis ‘NSF Chautauqua-Type Short Course for College Teachers’entitled ‘Achieving Excellence in Minority Engineering Education: Improving the AcademicPerformance and Graduation Rates of Minority Engineering Students.’ Although this
Capture / Documentation Part selection and set external interfaces Netlist output Total time: Typical for laboratory projects is less than one hourStep 4 PCB Layout Considering physical positioning, noise issues, connectors, access, etc. Gerber and drill files output Total time: Typical for laboratory projects is 2-3 hoursStep 5 PCB Production: Method A: Commercial PCB board shop: Modem Geber files to PCB board shop, pay for production Total time: 1-7 days (depending on cost and complexity) Method B: In-house chemical processing: Drill PCB Create PCB photomasks from Gerber files, cover
. PARKINSONDr. Parkinson completed a career in the United States Air Force. His degrees included a B. S.E.in Industrial Engineering, Arizom State University, 1967, M. S. E. in System Engineering, AFInstitute of Technology, 1967, and Ph.D. in Engineering Science, University of South Florida.He has 7 years of engineering mamgement distance learning teaching experience.MAX HAILEYDr. Hailey earned a degree in B. S. in Electrical Engineering, Ph.D. in Industrial Engineering.He has provided in-house training and consulting to numerous companies including UnionCarbide, General Electric, Textron Aerostructures, and Hospital Corporation of America. Hehas over 15 years of teaching experience in graduate engineering mamgement distance learning.GEORGE W
they can come and have a talk to you if you’re not putting 4 Student response the work in.’In June and November 1995 students in Dynamics 100 weregiven an anonymous questionnaire with two parts: amultiple-choice part where assertions could be given an Page 1.122.5 1996 ASEE Annual Conference Proceedings A Students at the ‘top’ of the ranking forge ahead into the next topic before the deadline, while the majority of students usually work only as many problems as they must. B Students near the bottom of the ranking are
engineering courses and to demonstrate the application of problem-solving processes in engineer-ing practice. To this end, we have included an” introduction to Students” which describes how to solve casestudy problems and a complete chapter on “The Engineering Design and Problem Solving Process. ” These twoadditional resources can be used in a wide variety of pedagogical settings. As discussed by Ko and Hayes,problem solving is generally introduced implicitly rather than explicitly, causing many students to b~ope forstructure in the problem solving process. (Ko, 1994) This resource will help students in transitional phases intheir cognitive processes, developing formal operational methods of analytical thought. (Wankat, 1993) These case
requirements for this course are the same as for any basic circuit analysislaboratory. Required equipment consists of a DC power supply, signal generator, meters (voltmeter, ammeter,ohmmeter), oscilloscope, circuit components (resistors, capacitors, inductors), sensors according to topics listedin Section III B, breadboard, and digital chips according to topics listed in Section III C. Page 1.357.2 {tixij 1996 ASEE Annual Conference Proceedings ‘..+,yyHIL..? .A. Signal Conditioning
, Douglas J., “Rework and Repair of TAB and FPT Devices,” Circuits Assembly, May 1993, pp. 42-54. 5. Comizzoli, Robert B., James M. Landwehr, and J. Douglas Sinclair, “Robust Materials and Processes: Key to Reliability,” AT&T Technical Journal, November/December 1990, pp. 113-128. 6. Navin-Chandra, D., “Designing Products for Environmental Compatibility,” Version 5, February 9, 1993, pp. 7-8.RICHARD CIOCCI, P. E., is a part-time research assistant at the University of Maryland at College Park anda full-time professor of engineering and mechanical technology at the Harrisburg Area Community College.Rick’s area of research is in developing environmental cost comparison methods for no-clean solderingtechniques that can
Experimental Control Control Frequency Percentage Frequency Percentage A 170-200 5 5.5 22 21.6 B+ 160-169 15 16.7 18 17.6 B 150-159 10 11.1 11 10.8 C+ 140-149 6 6.7 5 4.9 C 130-139 8 8.9 13 12.7 D+ 120-129 13 14.4 12 11.8 D 110-119 5 5.6 5
project management. Introduction and Background U.S. firms must increasingly compete in international markets to survive and, as a result, the need forengineering graduates to understand and apply TQM principles has never been greater. Results from severalrecent surveys of U.S. business executives including one published in b magazine [1] consistently suggestthat undergraduate engineering curricula are not doing enough to introduce students to “quality” as a key tenetof engineering practice. Gary Tooker, president of Motorola, has been quoted as saying “We’re not askingcolleges to add courses; we want you to include a quality dimension to existing courses.” [1] This comment suggests that we must
Session 1608 Competency-Based Engineering Design Projects a a b c a D. C. Davis , R. W. Crain Jr. , D. E. Calkins , K. L. Gentili , M. S. Trevisan a b c Washington State University , University of Washington , Tacoma Community CollegeABSTRACTAn outcomes-based approach to education is becoming essential for engineering educators.Design competencies help one define educational outcomes, develop plans for achievingintegrated design experience, and document educational
,’’ Innovator, Vol. 7, No. 2, August 1994, pp. 10-12.2. Felder, R. M. and Silverman, L. K., ‘‘Learning and Teaching Styles in Engineering Education,’’ Engineer- ing Education, April 1988, pp. 674-681.3. Waldheim, G. P., ‘‘Understanding How Students Understand: A Prerequisite to Planning Effective Teaching-Learning Methods,’’ Engineering Education, February 1987, pp. 306-308.4. Waldheim, G. P., Murr, L. E., ‘‘In the Visual Culture,’’ Engineering Education, December 1988, pp. 170- 172.5. Meyer, D. G., Krzyzkowski, R. A. and Hoefflinger, M., ‘‘The VideoJockey System: A Testbed for Cost- Effective Multimedia Instructional Delivery,’’ Proceedings of 1992 Frontiers in Education Conference, November 1992, pp. 168-172.6. Oakley, B., ‘‘Computers and
faculty involvement in both types of courses hasbeen encouraged by the recent American Society for Engineering Education (ASEE) report, “EngineeringEducation for a Changing World.”b These courses, however, frequently require the special expertise ofmultiple instructors in a team-teaching format. The team-teaching format is also frequently necessary to meet the demands of engineering coursesthat cover a wide range of topics, especially introductory courses and senior level capstone project courses.Engineering educators are concerned today about helping first-year students to succeed. As a result, thereis an emphasis on the development of introductory courses designed to support and encourage entry levelstudents in engineering.’ These
actual workshop a year hence.References1. Barbara E. Biernat, “What Steps can Universities Take to Improve the Quality of Construction Education”, submitted to the James L. Allhands Essay Competition of the AGC Education and Research Foundation, 31 October, 1994.2. K.C. Womack, L. R. Anderson, M.W. Smith and K.A. Gorder, “A Teaching Workshop for Engineering Faculty”, Journal of Engineering Education, October, 1994, Appendix B. Page 1.427.6 1996 ASEE Annual Conference ProceedingsAuthor BiographiesAll three authors are currently teaching in the Department of Civil & Mechanical
-month post and comparison group inventory B. Data Collection were separately analyzed. This analysis revealed whether or not some of the hypotheses formed are Background information from ninety-eight significant at a particular probability level.managers representing a broad spectrum of industry(there were ninety nine registered and paid for, but Referencesone did not attend) was collected during the program.Information included: level of education, length of Barnard, C I. (1968) Functions of the Executive,management experience, years in present job, type of Cambridge, MA: Harvard University
Todd, R. H., S.P. Magleby, C.D. Sorensen, B.R. Swan, and D.K. Anthony, “A Survey of CapstoneEngineering Course in North America”, Journal of Engineering Education, vol. 84., no. 2, 1995, pp. 165-174.Acknowledgements The authors would like to acknowledge the contributions of Professor John L. Palmer for the designof the Mercer University Senior Engineering Design Course Sequence. He initiated many of the techniquesdescribed in this paper.Biographical Sketches AARON R. BYERLEY is a native of Clemson, SC and received his B. S., M. S., and Ph.D. degreesfrom the USAF Academy, Stanford University, and the University of Oxford. In addition to co-directingMercer’s Senior Engineering Design Capstone Course Program, he teaches mechanical
integrated has been shown to lead to decreases in development time, engineering changes,and time to market and to increases in overall quality, productivity, dollar sales and return on assets [1].Central to the reduced design cost are the use of numerical simulations. This is especially true in theaerospace field. Hoist et. al. [2] argue that the development costs for advanced vehicles are escalating ‘-due the constant desire in the commercial field for advancement in aerodynamic, fuel, and propulsionefficiency, weight reduction, flight stability and control, and environment al factors. One way to containthese costs is to place a greater emphasis on computer simulations. However, the simulation of theperformance of complex aerospace vehicles is
! You need an AVI viewer to see it, and it will take a few minutes to load. Thanks to Jerohn Anderson and DeAntrious Mitchell for the footage of the airplane.To get started, how about a poem about flying model airplanes? Airplane PicturesWe found some neat photos of airplanes we thought you might like. Some of them are kindof big so be ready for them to take awhile. If you don’t see anything right away, try movingaround with the arrow keys. ❑ F-14 in banked flight ❑ B-57B in flight ❑ AD-1 in flight with wing swee~ •1 Controlled Impact Demonstration CrashThere are literally thousands of more ~hotos available. >$m+~+=+.:yX
Tutor of the McBride Honors Program, and Ron Miller, Coordinator of the EPICS Program, the key features of the program are: ● modifying existing freshmen course syllabi in humanities, physical and social sciences (chemistry, physics, geology, mathematics, and economics), and engineering practices (EPICS) to feature a series of integrated project modules which allow students and faculty to explore appropriate connections between these disciplines, l adding a two-semester Connections interdisciplinary seminar series in which students and faculty will further develop and explore the interconnectedness of appropriate topics from each of the freshman
students to operational amplifiers, theircharacteristics and several common circuits using operational amplifiers. The lesson is intended to be boththeoretical and practical.Introduction Operational amplifiers are important electrical circuits. They are used in signal processing, control, andinstrumentation circuits. Of all analog integrated devices, the operational amplifier is the most widely usedelectrical component in a vast variety of electronic circuits. Most electrical engineers will probably encountermore operational amplifiers than any other integrated device. We have developed this lesson to introduce firstyear electrical engineering students to operational amplifiers and their applications. Electronic lessons become an
a set of “alternatives” to a set of cost fimctions. A cost finction is itself a mapping from a domain (quantity or quality) to a range (total or average cost), but the mapping here is not so straightforward. What makes it difficult is that the “alternative” variable is not only discrete, it cannot even be ordered over some scale in a consistent way, as for instance quantity can. We know that the quantity labeled “200” is twice as great as the quantity labeled “100,” but an investment alterna- tive labeled “2” is not two times as much of anything compared to the alternative labeled “1. ” This is because the alternatives “ 1” and “2” might just as easily be labeled “2” and “ 1” or “A” and “B.” Labels on the “alterna- tive” decision
. 1edgeA%odern.ma.nufacturing technology, the Machinery Department of Tsinghua University and the EM- .CO of Austria jointly established “Tsinghua EMCO JWmatiomd center” in April J 1994. The EMCO Provid-.ed T+hua with the equipment of CNC (computer numeral controlling) and the educational system of CTS(computer training system) valued at 200,000 US. Dollars. With the help of this system, the students canconduct the study of modern manufacturing technology and designing practice on computers and the teacherscan examine and correct the students through inter-net. It is a training-practice system that integrated de-sign training and production, and has shown its bright future. At present ~ the whole system is in full opera-tion. B) Further
and skills associated with a variety of engineering, mathematics, andphysical science courses. When students do not understand the interrelations between different subjects,they tend to be less motivated to learn new subject matter and consequently less able to solve realisticproblems. Recognizing this problem, several universities have recently developed first-year engineeringcurricula that include multidisciplinary integration. This paper reports on one such effort currently underway at North Carolina State University sponsored by the National Science Foundation SUCCEED Coalition.In the new curriculum, designated as IMPEC (Integrated Mathematics, Physics, Engineering, andChemistry), elements of engineering design and operations are
! Page 1.479.3 1996 ASEE Annual Conference Proceedings Dr. Gregory defines attention as “.. the direction of the mind upon some object .. the act of bringing theobject into the ‘focus’ of consciousness.” He describes three different kinds of attention as: (a) passiveattention, involving no effort of will; (b) active attention, evidenced by a willful attempt to do what should bedone in spite of distractions; and (c) absorbed attention, in which the student is fascinated by the lesson, almostto the point of another form of passive attention, that is, the interest is so high that little effort is involved toremain attentive, termed “secondary passive” attention by Dr. Gregory. The challenge for the
., and Stanhope, N., "Why Is It That University Grades Do Not Predict Very- Long Term Retention," Journal of Experimental Psychology: General, Vol. 121, pp. 382-384, 1992.6. Bahrick, H. P., "Stabilized Memory of Unrehearsed Knowledge," Journal of Experimental Psychology: General, Vol. 121, No. 1, pp. 112-113, 1992.7. Bowker, A. H. and Lieberman, G. J., Engineering Statistics, Prentice Hall, Inc., Englewood Cliffs, New Jersey, 1972.8. Kazmierski, P, "The Adult Learner", in Teaching in College: A Resource for College Teachers, Info-Tec, Inc., Cleveland, OH, 1989.9. Bloom, B. S., (ed.) Taxonomy of Educational Objectives, Longmans, Green, and Co., New York 1954.10. Haynie, W. J., III, "Effects of Take-Home and In-Class Tests
, strongconsideration should be given to permanently altering test procedures to enhance students’ learning. Further,the instructorsrecommend that OLS applied, experiential projects and EET laboratory projects be performed by student pairsrather than individually. The shared interaction, knowledge and understanding appeared to greatly enhanceproject documentation and apparent learning even though the numerical scores were not significantly different.REFERENCES[1] Fendrich, D. W., Healy, A. F. and Bourne, L. E., Jr., “Long-term Repetition Effects for Motoric andPerceptual Procedures”, Journal of Experimental Psychology: Learning, Memory and Cognition, vol. 17, no. 1,Jan 1991, pp. 137-152.[2] Roediger, H. L. III and Challis, B. H., “Effects of Exact Repetition
research would be needed to ex~andon this finding, there may b: an undercurrent of “aloneness” t~at women face to a greater extent than men ;nengineering campuses. It seems especially unfortunate that this would be the case in design classes where groupwork is promoted to a greater extent than in core classes.Grade-Level Analvsis Survey respondents were almost evenly divided between first-year (n= 140) and third- or fourth-yearcourses (n = 134). I compare the students enrolled in the first-year classes (vf,) to those enrolled in the junior- andsenior-level classes Q.tj-s), without differentiating between juniors and seniors (Table 3). Table 3. Grade-level comparison using the T-test Comparison of
Session 2520 Society and Technology for Non-Engineering Majors Robert L. Drake University of Tennessee at Martin ABSTRACT A course to introduce non-engineering students to technology ande n g i n e e r i n g is d e s c r i b e d . The course is entitled “Society andTechnology” and stresses the use of digital computers in datacollection, simulation, and control operations. One purpose of
directed toward the development of solid modeling systems. Two separate paradigms developedsomewhat simultaneously. These are the Constructive Solid Geometry (CSG) technique which is based upon the use of set specificBoolean operators to combine volumetric sets defined by algebraic inequalities and Boundary Representation (B-Rep) system whichdefines a solid in terms of a set of finite orientable surface elements. From these research efforts followed commercial applications inthe late 1970’s and early 1980’s. Industry began to use solid modeling systems for design development, creation of 2D graphical output
Lehigh University/Focus: HOPEAbstract This paper describes three learning partnership models among U.S. corporations, government agencies,and Lehigh University’s Computer Integrated Manufacturing Laboratory (CIM Lab). These models aredescribed in terms of need, resources and benefits. Two models describe the partnerships among the CIM Lab,the Commonwealth of Pennsylvania’s Northeast Tier Ben Franklin Technology Center (NET/BFTC), andprivate industry. The third model describes a partnership among government, manufacturing industries, sixuniversities, and the Focus: HOPE Center for Advanced Technologies. The three virtual learning modelsdemonstrate the success in combining resources from academia, government, and industry. They exemplify
---- Session 2660 Computer Education in Lebanon Hussein M. Yaghi American University of Beirut Abstract This article summarizes the results of a nation-wide study that investigated the status of computereducation in the Lebanese schools. The basic observation was that schools in the governmental sectorwere not using computers at all, however, computer education was making a good appearance in theprivate schools especially after the cease of the war in the country. Like other schools in many