supposed to measureTriangulation – using more than one method to assess a program objectiveReferences Cited1. B. M. Olds and R. L. Miller, Portfolio assessment: measuring moving targets at an engineering school. NCA Quarterly, 71, 4, 462-467, (1997).2. R.L. Miller and B.M. Olds, Lessons learned in d eveloping and implementing a chemical engineering program assessment plan. International Journal of Engineering Education, accepted for publication, 18, 2, (2002).3. G. M. Rogers and J.K. Sando, Stepping Ahead: An Assessment Plan Development Guide, Rose-Hulman Institute of Technology, Terre Haute, Indiana (1996).4. F. Stevens, F. Lawrence, and L. Sharp, User-Friendly Handbook for Program Evaluation: Science, Mathematics
so that the summary of distance of each interested variable to this line is the minimum. This best-fit line is called least squares line. Figure 6 shows the result of this model. The predicted data is given by: y= a + b * x Where Regression 98 97.5 97 96.5 96 95.5 95 94.5 0 5 10 15 20 25 Figure 6 x is the independent variable, and y is the dependent variable; x-bar and y-bar are the sample means of x and y. The prediction result as obtained by this prediction
team. These high energy, short term projectschallenge each IEWorks member to interact effectively in a team. Without excellent teamwork,these challenges would overwhelm an individual. Projects provide a venue to discover andidentify both good and poor engineering teamwork practices. B A C Figure 3: Heat Sink Project (A), Yo-Yo Project (B), Stirling Project (C) Page 7.645.5 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright 2002, American
.9. Baumbartner, J. (1997). The Step-by-step Guide to Brainstorming. Retrieved January 2, 2002, from the World Wide Web: http://www.jpb.com/creative/brainstorming.html.10. Bennett, B. (1991). Brainstorming. The Chemical Engineer, 492, 40-42.11. Gamache, R., & Eastman, K.W. (1990). Running a Creative Meeting. Chemical Engineering, 97(11), 165-174.12. Kling, H. (1990). Get More Out of Group Projects by Using Structured Brainstorming. Quality Progess, 23(3), 136.13. Baertracks (2001). Creative Quotations. Retrieved January 2, 2002, from the World Wide Web: http://www.creativequotations.com/.14. Counselling and Development Centre (2001). Reading Skills for University: 4. Critical Thinking. Retrieved January 2, 2002, from the
developingcomplicated questions. As an example, the following item was developed for the exam and will be used in thereview manual: In general, which of the following is the least efficient frame in limiting drift from lateral loads? a. Moment resisting Frame. b. X-Braced Frame. c. K-Braced Frame. d. Shear Wall.The question is straightforward, all of the possibilities may be used in lateral loading situations,but moment resisting frames are the least efficient in limiting drift. The item measures a specificknowledge, skill or ability. A large portion of the questions on the exam do requirecomputations, however they are written such that the
online.II. An Overview of the Thermodynamics Tables WizardAs shown in Figure 1, this Thermodynamics Tables Wizard consists of four separate modules:(a) workshops, (b) interpolation module, (c) advanced user module, and (d) unit conversionmodule. This Thermodynamics Tables Wizard is now available online, and it can be accessed atthe following URL, http://coecs.ou.edu/flai/www/Wizard/wizard.htm. This wizard was designed Figure 1. Main Page of the Thermodynamics Tables Wizard. Page 7.1303.2 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright ã
analytical calculations: • Natural frequency from free vibration tests. • Resonant frequency. • Response spectra. • Mode shapes for MDOF systems. • Damping ratio by a) logarithmic decrement and b) half-power bandwidth. • Natural frequency and damping from a frequency-response curve. • Comparison of structural response to earthquake record input for systems with and without special isolation features such as base isolators, shock suppressors, and tuned mass dampers. • Comparison of structural response to earthquake record input of systems with and without lateral bracing.OBJECTIVESThe objectives of the new curricula with experimental illustrations are: • To systematically integrate hands-on experiments
Session 3548 Assessing the competencies in the Manufacturing Engineering Technology programs Bob Lahidji, Ph.D., CMfgE, Jihad Albayyari, Ph.D. Industrial Technology Eastern Michigan University Ypsilanti, MI. 48197IntroductionThe rapid advancement in all aspects of technology and globalization of competitiondictates a need for a knowledgeable and technically competent work force. Engineeringeducation programs should reflect the needs of industry and prepare young engineers tomeet the challenges of the
present the fundamental theory of FEM.Simple 1-D heat transfer through a plane wall is shown in Figure 1. In this problem, the equationis given in terms of T (temperature) on the domain S, on the boundary a < x < b withcorresponding Neumann (constant flux, q) and Dirichlet (constant temperature) boundaryconditions. Governing Equation d æ dT ö - çk ÷ - s = 0 over a < x < b dx è dx ø Boundary Conditions dT -k = q at x = a dx
performed by faculty teams who had expertise in givenareas (structures, geotechnical, cost estimates, schedules, etc.). Grading criteria was developedfor each status report, the oral evaluations, and the final project. Appendix A (4) contains theform used to evaluate the oral presentations. Appendix B contains the evaluation form used toevaluate team members. The actual deliverables and the grading criteria for the status reports andthe final project were developed in class by the student groups, with input from the faculty. Thefaculty members that graded each of the status reports and final project used the formattedversions of the student-based deliverables for their evaluation of student work. Appendix Cillustrates the grading sheet that was
evaluating whether or not the objectives have been met, defineprocedures for collecting and analyzing data sufficient to establish the values of the metricsdefined, and finally, show (using the metrics and accompanying data) that the objectives have, infact, been met. In particular, many of the key components are summarized in "Criterion 3.Program Outcomes and Assessment" in the ABET Publication, Criteria for AccreditingEngineering Programs. In essence, engineering programs must demonstrate that theirgraduates 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
Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Educationhttp://www.tech.mtu.edu/Dean/E-VS-ET.HTML.3. Clark, A. C. & Scales, A. Y. (2001). Assessment practices in engineering/technical graphics.Engineering DesignGraphics Journal, 65 (3), 13-24.4. Theorem Solutions (2001). Data exchange white paper. Staffordshire, England: Author. (Access date January 12,2002). URL http://www.theorem.co.uk/docs/whitep.htm.5. Dean, A. (2000, November). Intelligent data translation: How close are we? CADserver.co.uk. . (Access date January12, 2002). URL http://www.cadserver.co.uk/common/viewer/archive/2000/Nov/1/feature4.phtm6. Beckert, B. A. (2001). 3D CAD rides the Internet. CAE/Computer-Aided
squares line. Figure 6 shows the result of this model. The predicted data is given by: y= a + b * x Where Regression 98 97.5 97 96.5 96 95.5 95 94.5 0 5 10 15 20 25 Figure 6 x is the independent variable, and y is the dependent variable; x-bar and y-bar are the sample means of x and y. The prediction result as obtained by this prediction model is attached in Appendix III with the Mean Squire Error MSE = 0.26. According to this model, the predicted value for the next
Copyright ©2002, American Society for Engineering Education3. Onaral, B., A Road Less Traveled, ASEE Prism, September 1992.4. Wolkson, A., Employers Demand New Skills, Machine Design, September 1992.5. Speicher, A.L., Engineering Education for a Changing World, ASEE Prism, December 1994.6. Wheeler, A.J. and Ganji, A.R., Introduction to Engineering Experimentation, Prentice Hall, 1996.7. Sadeghipour, K., Computer Aided Vibration Experimentation, ASEE Computers in Education Journal, Vol. 1, No. 4, 1991.8. LabVIEW Basics Hands-On Course Manual, National Instruments, Austin, Texas, 1996.9. LabVIEW Data Acquisition Hands-On Course Manual, National Instruments, Austin, Texas, 1996.BiographicalCharles V. Knight received B.S., M.S., and Ph.D. degrees in
education.The purpose of IACEE is to support and enhance lifelong technical education and training, and Page 7.832.1 “Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Civil Engineering Education”advanced engineering education worldwide. The activities will include measures specificallydirected to meet the special needs of the developing countries in CEE.The association's objectives are pursued by:a) promoting international technology transfer through a better understanding of the continuing education process;b) improving the quality of
after the first few topics are covered, the instructorcan select which ones of the remaining topics will be covered and in what order depending onthe particular interests of the student s and instructor, the integration of laboratory experimentsand, in general, the focus for the course. 1.- INTRODUCTION : OVERVIEW O F SATELLITE 7.- THE SPACE S UB-SYSTEM SYSTEMS 2.- B RIEF D ESCRIPTION OF O RBITS 8.- THE EARTH S UBSYSTEM 3.- THE G EOSTATIONARY O RBIT 9.- A NALOG A ND DIGITAL SIGNALS 4.- PROPAGATION O F RADIO W AVES 10.- T HE SPACE LINK 5.- W AVE POLARIZATION 11.- INTERFERENCE A ND
Session 2661Synthesizing Creative Processing in Engineering Curricula through Art Angela H. Patton, Richard B. Bannerot University of HoustonIntroductionEngineering stands poised between mind and matter. It is a discipline that gives shape tounseen forces and application to scientific query. Translating ideas and phenomena intoaccessible forms requires ingenuity. Engineers imagine and invent. In the context ofengineering education, creativity is recognized as a valuable attribute. And yet, mostengineering programs lack an effective means of synthesizing creative processing into thecore values of
Texas A&M University prior to joining the faculty at Ohio State in 1980.ROBERT J. GUSTAFSONRobert J. Gustafson is a Professor of Food, Agricultural and Biological Engineering and Associate Dean forAcademic Affairs and Student Services for the College of Engineering of The Ohio State University. Dr. Gustafsonis a registered professional engineer and is actively engaged in development of first-year engineering programs andteaching improvement. Dr. Gustafson received B. S. and M. S. degrees in Agricultural Engineering from theUniversity of Illinois in 1971 and 1972 and a Ph.D. in Agricultural Engineering from Michigan State Universityin1974.AUDEEN W. FENTIMANAudeen W. Fentiman is an Associate Professor in the Department of Civil and
Corporation, 1992.12. Shorter, G.W., et al., “The St. Lawrence Burns”, Quarterly of the National Fire Protection Association, Vol. 53, 1960, pp. 300-316.13. National Institute of Standards and Technology (NIST), http://fire.nist.gov, accessed March 5, 2002.14. Institute for Research in Construction, National Research Council of Canada (NRC), http://www.nrc.ca/irc, accessed March 5, 2002.15. Karlsson, B. and Quintiere, J.G., Enclosure Fire Dynamics, CRC Press, 2000.DAVID TORVI joined the University of Saskatchewan in 2000 from the National Research Council of Canada inOttawa. He holds Ph.D. and M.Sc. degrees in Mechanical Engineering from the University of Alberta and a B.Sc. degreein Mechanical Engineering from The University of Calgary. His
( Consider the plane curve described by the equation sin x 2 + y = x . ) a) Find the slope of the tangent to the curve at ( x, y ) = ( 0, π ) . ( ) b) Solve sin x 2 + y = x with respect to y and then find the slope of its tangent at x = 0 . Explain why the answer is different from what you found in a).The second part of the mid-term assesses problem solving skills. For example, we can askstudents to solve a few optimization problems instead of the usual one.As emphasis is shifting from the performance of mathematical calculations to the betterunderstanding of the underlying mathematical concepts, we find the need to be more specificthan before when designing exam questions. Students must get a sense of the
reviewing the reflections they wrote on writing the paper. Wematched the goals for the paper, outlined on the assignment sheet, with a grading rubric thatwould allow us to focus on how well the students understood the concept of cultural literacies inthe various classes in the FIPE program. Over 90% of the students earned a passing grade on theassignment, which indicates that they had clearly met the goals of understanding the concept ofcultural literacies, and over 55% had exceeded those goals by earning an “A” or “B” grade. Wefound that the students really did explore these concepts in their papers, and from our discussionswith the integrated faculty team, we found that many students began to understand thedifficulties they were experiencing with
Solving in Engineering” at Florida Atlantic University. The relatedteaching material may be extended or shrunk, thus allowing flexibility for incorporating it indifferent classes such as design, introduction to engineering, and problem solving.The material includes: a) course material for specific eight problem solving strategies, and b)hands-on activities that include more than 250 different 3-D mechanical puzzles, many games,mind teasers, LEGO® Mindstorms competitions, and design projects, each of which illustratesprinciples and strategies in inventive problem solving. In addition, students use patent-relatedsoftware packages and websites. These activities allow for self-paced, semi-guided explorationthat improves self-esteem and encourages
current I B to be 3mA(IB>10%ILED).The resistor R 30 is: VOUT - VD - VBE 14.25V - 0.7V - 0.7VR30 = = = 4.28kW IB 3mAWe use a 3.9kW resistor for R 30.Thus, when V 6 is less than 3V, the output voltage of the Voltage Comparator is 14.25V drivingthe base of the transistor to put it in saturation to turn on the red LED. When V 6 is more than 3V,the output of the Voltage Comparator is –14.25V. The diode D3 is reverse biased. The transistoris in cut off turning off the red LED.We can use similar approach to drive the green LED. The circuit is in Figure 17 below. +15V +15V
currently conducting research in the thermal management of spacesystems at Utah State University's Space Dynamics Laboratory. He recently completed a one semester sabbatical toThailand as a Fulbright Senior Scholar. He received the ScD degree in Mechanical Engineering from theMassachusetts Institute of Technology in 1969.MAYUREE THESPOL is Assistant Professor and Department Head of Mechanical Engineering at KasetsartUniversity in Bangkok, Thailand. She teaches undergraduate courses in thermodynamics and energy management.She received B. Eng in Mechanical Engineering from Kasetsart University and M. Eng in Industrial Engineering andManagement from Asian Institute of Technology in Thailand in 1980
they teach. It is then easily cut andpasted into the master database.Formal instruction/student activities – Our assessment process is heavily dependent on the useof grades to determine student mastery of specific course objectives. Hence, it is important toestablish evidence that indicates just what an A, B, C, D, or F means. The student activities thatresult from formal instruction represent student work that is collected and archived. It is possibleto correlate the grades received with the actual student work for any course. In the past, wecollected this evidence only in the year prior to the ABET visit. We now collect it routinely forevery course. This evidence is examined if there is an anomaly in the statistics reported in theGPA
Speakers 5. Packing and Traveling 6. Establishing Communications with Host Student B. On-Site Visit to China 1. Lectures on the Culture/History of China 2. Chinese Language Instruction 3. NCUT Laboratory Tour 4. Industry Plant Tours 5. Oral Presentations by NCUT Faculty and Students 6. Visitation to Historical Sites 7. Maintenance of a Daily Journal 8. Student-to-Student Exchange C. Follow-up after the Trip 1. Debriefing and Review 2. Presentations to CMU and Civic Groups 3. Participation and Help with NCUT Exchange Visit Page 7.735.2
Teach Engineering Genres.” TPC 42.1(1999): 3-11.2. Randolph, Gary B. “Collaborative Learning in the Classroom: A Writing Across the Curriculum Approach.”JEE 89.2 (1999): 111-114.3. Walker, Kristin. “Using Genre Theory to Teach Students Engineering Lab Report Writing: A CollaborativeApproach.” TPC 42.1(1999): 12-20.4. Sharp, Julie E., Barbara M. Olds, Ronald L. Miller, and Marilyn A. Dyrud. “Four Effective Writing Strategiesfor Engineering Classes.” JEE88.1 (1999): 53-57.5. Informal survey during ASEE workshops, 1999 and 2000.6. Dorothy Winsor. Writing Like an Engineer: A Rhetorical Education. Mahwah, New Jersey: Lawrence ErlbaumAssociates, Inc., 1996.7. Informal survey conducted during ASEE workshops, 1999 and 2000.Biographical
Engineering Discourse. Proceedings. 1997Frontiers in Education Conference. Pittsburgh, PA. 5-8 November 1997.4. Lave, J. (1991) Situated Learning in Communities of Practice. Perspectives on Socially SharedCognition. Resnick, L. B., Levine, J.M., & Teasley, S. (Eds.) Washington, DC: American PsychologicalAssociation, pp. 63-82.5. Pfeiffer, J., and Jones, J. E. (1971) A Handbook of Structured Experiences for Human RelationsTraining, Vol. 1. Iowa City, IA. University Associates Press.6. Williams, J. S. (1997). Style: Ten Lessons in Clarity and Grace. 5 th Ed. New York: Longman.7. Hart, H. & Lawler, D. (1999) A Guide to the Preparation of Theses and Dissertations in Science andEngineering. Austin, TX: Department of Civil Engineering, University
Session No: 1160A COMPARISON OF CIVIL ENGINEERING CURRICULUMAT THE UNIVERSITY OF FLORIDA AND THE NATIONALUNIVERSITY OF SCIENCE AND TECHNOLOGY, PAKISTAN Adnan Javed 1, Webert Lovencin2, Dr. Fazil T. Najafi 31,2 Graduate student, Civil & Coastal Engineering, University of Florida/3 Professor, Department of Civil & Coastal Engineering, University of FloridaAbstractThis paper compares Civil Engineering Education curriculum at the University ofFlorida (UF) with the National University of Scienc e and Technology (NUST),Pakistan. A review of courses from each school is presented to understand theCivil Engineering curriculum structure at two
Table 6. Course-end Feedback Data (2001) Note: Values shown in parenthesis refer to last semester’s values, CME refers to theCivil and Mechanical Engineering Department, ME Div is the ME Program within CME. Survey Question USMA CME ME Div ME472A.2 This instructor used effective techniques for learning, 4.24 4.39 4.34 4.50both in class and for out-of-class assignments. (4.00)A.6 My motivation to learn and to continue learning has 3.93 4.08 4.11 4.38increased because of this course. (4.33)B.1 This instructor stimulated my thinking