disciplines while affirming the commonage of their core. Assessment instrumentswith emphasis on specific programs, course sequences, as well as general science andtechnology education are presented.The proposed model clearly identifies the goals of the College of Sciences and Technology andits specific educational objectives. For each objective, performance criterions as well asinstrument(s) for measuring the attainment of the objective are developed. A schedule foradministering each instrument is recommended. The proposed assessment program alsoincludes a data analysis phase and feed back channels with recommendations for correctivemeasures, where needed.A chart showing the various attributes as well as key personnel for program implementation
pressures. Wefirmly believe that the internship experience provides the students with a continuous and globaleducational process, thus contributing to the mission and goals of our academic programs.REFERENCESAnwar S and Winsor F (1999) Internship development for a new baccalaureate degree program: Student preparation,sponsor development and internship follow-up. Proc. of the 1999 ASEE Conf, Session 2548Katz, S M (1993) The entry-level engineer: Problems in transition from student to professional. Journal ofEngineering Education, Vol 82, N3, pp. 171-174Lessard, C.S. (1996) Development of a Clinical Internship Program. Journal of Clinical Engineering, Vol 21, N. 3,p 245Wright, C. H. G., Peterson, D. E., Neal, P.C. and Lynch, C.L (1997). The effect of
, 2nd edition, Prentice Hall, 1998; it is intended for use by registeredstudents at the University of Southern California and may not be used for otherpurposes without the express permission of the publisher. Page 5.412.10The circuit shown is in the zero state when the step function input is applied. R = Ohm L = mH C = µF VA= V (a) Find the two roots, s1 ands2,of the characteristic equation. Let s1 be the larger root. **1e-6 sqrt(^2*^2*1e-12-4***1e-9) 2***1e-9 Page 5.412.11 (-+)/ (--)/ s1 = s-1 s2
, 1998. 3. D.E. Comer, Computer Networks and Internets, 2nd Edition, Prentice-Hall, 1999. 4. D. Cullur, J.P. Singh, A. Gupta, Parallel Computer Architecture: A Hardware/Software Approach, Morgan Kaufmann, 1998. 5. Document Object Model (DOM) Level 1 Specification, http://www.w3.org/TR/REC-DOM-Level-1/, 1999. 6. Extensible Markup Language, http://www.w3.org/TR/1998/REC-xml-19980210.html, 1999. 7. J. Farley, Java Distributed Computing, O’Reilly, 1998. 8. J. Ferber, Multi-Agent Systems, Addison-Wesley, 1999. 9. Foster and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann, 1998. 10. E. Freeman, S. Hupfer, and K. Arnold, JavaSpaces Principles
theSociety of Women Engineers. At the beginning of 1999, the four groups struggled with theirdesire to collaborate, formalize a “new” coalition, and what to call themselves. Realizing thestrength and accomplishments of CEMS, they felt it was important to maintain that portion of thename and not “redefine” it to include SWE. Yet they felt that using CEMS/SWE was too muchof an “add on” and did not truly reflect their feelings of complete collaboration. Afterconsiderable debate and reflection, they agreed to CEMSWE. What made this name appropriatewas that they “shared” the “S” in the middle and it ends with “WE”. The collaborative events Page 5.458.1now
doing the design modules. 2 7 11 2 3.6 Overall Score 3.7In addition to the statements provided on the survey, a number of students provided commentsand suggestions for improvement. One student commented the s/he "liked how the courseproject was broken up into these modules, it made having a course project less stressful at theend of the semester." Another student, however, commented that it would be better to havefewer modules that are "each longer as opposed to more modules that are shorter." In generalmost students felt that having the project split
Competence. Ottawa, Canada: IRH Medical (1992). Page 5.472.64. Jain, S.S., Nadler, S., Eyles, M., Kirshblum, S., DeLisa, J., & Smith, A. Development of an objective structuredclinical examination (OSCE) for physical medicine and rehabilitation residents. Am. J. Phys. Med. Rehabil., 76:102-106 (1997).5. Chu, J.P. & Phillips, V.D. III. A process-oriented laboratory practical exam. Am. Biol. Teacher, 45:159-161(1983).JEAN-MICHEL I. MAAREKJean-Michel I. Maarek is Assistant Professor of Biomedical Engineering at the University of Southern California.His research interests are in tissue optics and spectroscopy. Through his teaching
Session 2620 Project Links: Interactive Web-Based Modules For Teaching Engineering Kenneth S. Manning, Ph. D. Rensselaer Polytechnic InstituteAbstractProject Links, an NSF-supported project at Rensselaer, is a cooperative effort by faculty fromseveral departments, schools, and institutions to develop materials linking mathematical topicswith their applications in engineering and science. The primary product of this effort is a set ofinteractive, web-based learning modules that rely heavily on hypertext, animations, andinteractive Java applets.We employ
and competition between the teams. Page 5.517.6Bibliography1. “Manufacturing Education Plan: 1999 Critical Competency Gaps” by the Society of Manufacturing Engineers, Dearborn, MI 1999.2. Schriver, Rob; Giles, Steve; Curtis, Gary, “Establish performance measures to calculate business results and return on investment in training and development.” Proceedings of the American Power Conference [Proc Am Power Conf] 1999.3. Elliott, Charles S; Sevier, John, “Really getting industry to partner in manufacturing education.” Technical Pap Soc Manuf Eng, SME Dearborn 19964. Deaton, Ron; Kraebber, Henry W, “Bringing the concepts of modern
using it on any computer platform at theUniversity or at home. It was designed originally for Intranet networks, yet it works very well onthe Internet.Bibliography1. Sweet W., Geppert L., "http:// It has changed everything, especially our engineering thinking", IEEE Spectrum, January 1997, pp. 23-37.2. Jamsa K., Lalani S., Weakley S., Web Programming, Jamsa Press, Las Vegas, NV, 1996.3. Flanagan D., JavaScript, The Definitive Guide, O’Reilly & Associates, Sebastopol, CA, 1997.4. Hank Shiffman, Making Sense of Java, http://www.disordered.org/Java-QA.html5. Hank Shiffman, Boosting Java Performance: Native Code and JIT Compilers, http://www.disordered.org/Java-JIT.html6. Mall L., T. Christiansen, and R. L. Schwartz, Programming PERL
. Prentice Hall, NJ.MCQ (1995). World-wide-web site www.uct.ac.za/projects/cbe/mcqmanMehta, S. & Schlecht, N. (1998). “Computerized Assessment Technique for Large Classes,” Journal of Engineering Education, Vol. 87, 2, p. 167-172.AppendixThe following are sample questions from statics that address various levels of the taxonomy. Guidelines suggestedin “Designing and Managing Multiple Choice Question” found at www.uct.ac.za/projects/cbe/mcqman were used indeveloping the questions.Level 1: Knowledge. This level simply requires the recall of acquired knowledge. A test at this level alone caneasily become a “Trivial Pursuit” exercise!Question: Define a dot product of two vectors A and B, where A = Ax i + Ay j + Az k and B = Bx i + By j + Bz k.a
student work, New Directions for Teaching and Learning, 74, 79-87 (1998).3. Slater, T. E. and Astwood, P. M. Strategies for using and grading undergraduate student assessment portfolios in Page 5.562.7 an environmental geology course. Journal of Geological Education, 43, 216-220 (1995).4. Herbert, E. A. Lessons learned about student portfolios. Phi Delta Kappan, 79(8), 583-585 (1998).5. Powell, K. S. and Jankovich, J. L.. Student portfolios: a tool to enhance the traditional job search. Business Communication Quarterly, 61(4), 72-82 (1998).6. Olds, B.M. and Miller, R. L. Using portfolios to assess a chemical
mechanics, fluid mechanics, thermodynamics,heat and mass transfer, electrical theory, and materials science, with a corresponding decrease inboth hands-on and synthesis experiences (1,2). Throughout the 1960’s, a continued shift inengineering curricula occurred in the direction of increased emphasis on analytical techniques,due in part to the explosion of knowledge in mathematics and the basic sciences. Thisrepresented a transition to the era of engineering science, an era which produced fine analyticalengineers, but engineers who were required to learn most, if not all, of their design skills aftersecuring their first engineering position. By the 1980’s, the effect of these shifts was evident in a
project started, the issue came up on how theuniversities would share ownership of patent on the jointly developed products. Our consultantsproposed two solutions: (1) have both universities own the patents, or (2) select the universitythat contributed the majority of the novel ideas. Since the intellectual property policies of LMUand ETSU were very different 10, it was advised that the second solution be used.In order to do this; a patent committee was created that included the principal investigators fromboth universities (Drs. Mendelson and Rajai) and a patent attorney 11. The purpose of the patentcommittee was to recommend to the vice president of both universities, which products could bepatentable and which university would own the patent(s
Mathematics. Salient points of this paperinclude the original concept of laboratory integration for deeper understanding of the subjectmatter, the funding process, faculty collaboration, student grant proposals to obtain equipmentneeded for the project, and the design and integration of cell components.I. IntroductionThe manufacturing engineer of today and the coming century needs to be an individual with avariety of technical and interpersonal skills. S/he will serve her/his community in diverse rolesas technical specialists, operations integrators, and enterprise strategists. What industry needsfrom its graduate engineers is the ability to thrive in environments that are characterized bypeople working in multifunctional interdisciplinary teams1.At
the next generation of designers critical to competing in a globaleconomy. ABET has moved design from the periphery of engineering education to a more central positionrequiring engineering institutions to infuse curricula with more design opportunities. However, it is imperative thatthe educational interventions aimed at teaching sound design practices proliferating throughout this country beinformed by rigorous and extensive cognitive science research on learner prior knowledge, the developmental orevolutionary stages learners might transition through and the challenges attendant on each. Without this, designeducation has no hope of evolving into a science of design learning.Bibliography1. Finger, S. & Dixon, J. A review of
program cannot anticipate what the user will do. The user might clickthe keys on the keyboard in any order, or might use the mouse. So the program no longerhas a set order in which the procedures will excecute. All it can do is to wait patiently for anevent and then to do something in response to the event. For example, if the user clicks abutton on the screen, the program might change the state of some variables and then run asubroutine to process some information. Page 5.616.9In the case of the animation shell it was desirable to invent a refinement of the basic Javaevent model. We wanted the animated object(s) to respond to events, which means
: Issuesand Practice, vol. 18, no. 2, , pp. 5-17 (1999).3. Philips, W., "A Look at the Criteria, “How do we measure success? Washington, DC: Association ofEngineering Education, (1998).4. Dixon, J.R., "New Goals for Engineering Education," Mechanical Engineering, vol. 113, pp. 56-62, (March1991).5. Maul, G.P., "Reforming Engineering Education," Industrial Engineering, vol. 26, no. 12, pp. 53-55, 67,(1994).6. Masi, C.G., "Re-engineering Engineering Education," IEEE Spectrum, vol. 32, no. 9, p. 44 (1995).7. Sheppard, S. & Jeninson, R., "Freshman Engineering Design Experiences and Organizational Framework,”International Journal of Engineering Education, vol. 13, no. 3, pp. 190-197, (1997).8. Al-Holou, Bilgutay, N. M, Corletor, C., Demel, J.T
substantial contributions to the K-6 educational program by introducing the conceptsof engineering design and problem solving.II. Educational Standards in Science and MathematicsIn New York and several other major states, the issue of standards was part of the 1980’s reformmovement that focused on increased graduation requirements (Ming Zu, 1996). This evolvedinto the reforms of the 1990’s that were more pervasive, setting curriculum content standards aswell as student performance standards. The aim is to improve students’ critical thinking skills, Page 5.210.1not their test-taking skills. The New York State Board of Regents approved Mathematics
{ } 23 ] 24 } Figure 4 Java servlet-generated VRML codeThe instructions illustrated in Figure 4 provide sufficient information to the client browser’sVRML plug-in application for its initial setup. The accompanying Java applet presents (1)identification information (e.g., exercise title); (2) one or more exercise scenes or configurations;(3) simulation action controls (e.g., start, pause/stop, reset, etc.); (4) simulation outputinformation (e.g., timers); and (5) informational control(s) (e.g., exercise-specific help display).The applet makes SQL calls to the virtual laboratory database via JDBC11 to instantiate VRMLobjects used in the specified laboratory exercise. We describe a schema for this
. “Logistics Goes “Live”: Supply Chain Management in Industrial Distribution.” Journal of Engineering Technology 16, no. 1, (1999): 44-47.8. Mahendran, M. “Project-Based Civil Engineering Courses.” Journal of Engineering Education (84), no. 1, (1995): 75-79.9. Humphreys, M.A. “Client-Sponsored Projects in a Marketing Research Course.” Journal of Marketing Education 3 (1981): 7-12.10. Dutson, A.J., R. H. Todd, S. P. Magleby, and C. D. Sorensen. “A Review of Literature on Teaching Engineering Design Through Project-Oriented Capstone Courses.” Journal of Engineering Education (86), no. Page 5.285.8 1, (1997): 17-28.NANCY
."Douglas S. Green (Saint Michael’s College, Vermont, Associate Professor of ComputerScience): "I have found the robot contest to have high educational value. Saint Michael’s is asmall liberal arts college. We do not generally offer "specialized" courses like robotics or real-time programming in our computer science curriculum. This contest gives my students their first Page 5.300.10understanding that programs that need to interact with the real world require another level ofthought and design to work effectively. The exposure to electronics, real time programming androbotics techniques is a real benefit for my students. Another benefit is that they
. But, what happens after the topic is covered? Most texts and manycourse exercises revert to problems inundated with zeros for ease of grading. In the typicalengineering course, a blanket statement is used to address this problem. The policy is, “Unlessstated otherwise, assume ALL “0”s in text problems are significant digits.” 2 This statement isnecessary since most texts contain this zero manifestation. The result is a system that fosters alack of proper significant digit accountability in problem-solving.It is the responsibility of instructors to ensure problem statements and diagrams are complete interms of both units and significant digits. Unless zeros are inserted to teach or test significantdigit analysis, each problem should have a
capstone undergraduate course (MECH 452/EE491) is taken by allmechanical and electrical engineering undergraduates.Both EE 491 and MECH 452 are offered once per year during the spring semester andtraditionally have enrollments of approximately 30-40 students each. While innovation andentrepreneurship has been part of EE 491 since the early 1980’s 1, 2, they were introduced inMECH 452 only as recently as 1996. The two courses shared lectures in 1997 and have beencompletely integrated since 1998 3.In addition to the engineering students, MBA students enrolled in an independent study course(BADM 793) also participate in EE 491/MECH 452. The MBA students assume the role ofbusiness mentors and provide aid in the development of marketing studies. Each
Page 5.386.9p ( t ) , P, Q, and S change for −90° < θ < 90° . Compute p(t), P, Q, and S for θ = −90° , −60° ,−45° , −30° , 0, 30° , 45° , 60° , 90° and compare with values shown on the screen. Figure 13 - AC Power in an Impedance6. Discussion: Qualitative Understanding of Circuit BehaviorIn addition to quantitative analysis methods, it is desirable and important that students develop aqualitative understanding of circuit behavior and be able to predict it under various inputconditions. This is sometimes called having a feel or intuition for the problem. It helps to choosethe best approach amongst various possible solution methods. Circuit simulation modulesdiscussed in this paper are efficient tools for
having a unique set(s) ofdata. This will further enhance the student’s understanding of data reduction, data analysis andstatistical analysis of real-world data.IV. AssessmentThe program was tested using in a small focus group of 24 students and faculty. Assessment wasperformed through a questionnaire. Each question throughout the survey was marked according to a7-point Likert scale where a value of 7 indicated the highest possible positive response, and a valueof 1 indicated the lowest or most negative. When calculating the totals, a value of 168 is the highestpossible, whereas a value of 24 would be the lowest possible. The results are divided into threecategories, as shown in Tables 1-3. Overall, the project received favorable reviews.V
supported, in part, by the National Science Foundation (Grant No. DUE 9996399).Opinions expressed are those of the authors’ and not necessarily those of the Foundation.References 1. AbouRizk, S. M. (1993) “Stochastic Simulation of Construction Bidding and Project Management” Microcomputers in Civil Engineering, Vol. 8, pp. 343-353. 2. AbouRizk, S. M. and Sawhney, A. (1994) “Simulation and Gaming in Construction Engineering Education” ASEE/C2E2/C2EI Conference, Edmonton, Alberta, June 1994. 3. Ames A. L., Nadeau, D. R., and Moreland, J. L. (1996) VRML 2.0 Sourcebook Book, John Wiley, New York, NY. 4. Cosmo Software (1997) Cosmo World 2.0
equipment.References:1. Stratysis Web Site, http://www.stratysys.com2. Aronson, R. B., “Toolmaking Through Rapid Prototyping”, Manufacturing Engineering, 11/98, pp. 52-563. Frantz, J., “Rapid Tooling Alternatives for Plastic Injection Molds”, Moldmaking Technology, 8/99, pp. 25-344. Polosky, Q. F., R. Malloy, R. Stacer, “A Mechanical Property Performance Comparison for Plastic Parts Produced in a Rapid Epoxy Tool and Conventional Steel Tooling”, SPE ANTEC Conference Proceedings, 1998, pp. 2972-29765. Hansel, B., “Fundamentals of Product Development, Getting to Market in Half the Time”, SPE ANTEC Conference Proceedings, 1998, pp. 3080-30836. Burns, D. T., R. A. Malloy, S. P. McCarthy, “Analysis of Metal Coating Effects on
and applications than optical communications, whichis concerned mainly with optical systems using single mode optical fibers or optical waveguides,semi-conductor light sources and optical detectors. Developing an exhaustive curriculum andteaching materials for biomedical optics is therefore a much more challenging task. Page 5.595.65. AcknowledgmentsThe development of the undergraduate laboratory is supported in part by an Instrumentation andLaboratory Improvement Grant from the National Science Foundation Division ofUndergraduate Education (DUE-9751369).6. Bibliography1. S Rastegar, GL Cote, “An interdisciplinary combined research
vision system is tracking a fast moving object. The coordinates of a chosen point(s)on this object can be determined by a computer from the frames recorded by a vison system every30 th of a second. To predict the position of the object, the velocities and accelerations of the recentpoint(s) on the trajectory have to be accurately estimated. The problem may be considerablycomplicated when the coordinates of the points of interest are measured with significant errorscaused by, for example, poor resolution and image blurring.(B) A study of human or animal motion has to be conducted, when the coordinates of the pointsmarked on extremities are determined from the consecutive frames of a videotape. Usinginformation about positions of the extremity