. and Roth, M. (2004) “Undergraduate Research: The Lafayette Experience”, Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition.(8) Saliklis, E., Kurtz, S. and Furnbach, S. (2003) “Finite Element Modeling of Guastavino Tiled Arches”, Proceedings of the Eighth International Conference on Structural Studies, Repairs and Maintenance of Heritage Architecture, Halkidiki, Greece, pp. 257-266.(9) Saliklis, E., Billington, D. and Tregger, N. (2004) “Buckling Studies of the Trojan Tower” Proceedings of the Fifth International Symposium on Natural Draught Cooling Towers, May 20- 22, Istanbul, Turkey, 115-120.(10) Saliklis, E. and Billington D. (2003) “The Hershey Arena: Anton Tedesko’s
Michigan Technological University (MichiganTech). This paper details the course objectives and design, the educational modelsinfluencing its form, and some preliminary outcomes.Learning PreferencesThere are several methods to assess learning preferences1. One method applicable toscience and engineering students is the Index of Learning Styles2. This forty-fourquestion assessment is easily administered via a web-based questionnaire3. In this methodlearning preferences are determined with results along a spectrum of four learningpairings: sensing-intuitive, global-sequential, active-reflective, and verbal-visual. No twostudents learn exactly alike. Learning style is simply a preferred way of learning – oftenthe way(s) that knowledge “sticks” most
others have noted5. Further use in CE492 will establish historical data that willassist in identifying the effectiveness of changes to address program shortcomings.References1. Meyer, K., Morris, M., Estes, A., and Ressler, S. “How to Kill Two Birds with One Stone – Assigning Grades and Assessing Program Goals at the Same Time.” Proceedings of the 2005 American Society for Engineering Education Annual Conference. American Society for Engineering Education. June 2005. Session 1834.2. Welch, R., Estes, A., Winget, D., “Assessment of Squishier Outcomes: Open-Ended Problem Solving through Client-Based Projects,” Proceedings of the 2005 ABET National Conference. Accreditation Board for Engineering and Technology. November 2005.3. Farmer, D.W
, with its characteristic parabolic shape, and overlaying thehorizontal (X) and vertical (Y) distances required for impact. Next the chronometric method wasanalyzed. V (X) V (Y) Deviation from Kinematic Sources V (q) 39.00 37.00 Velo city D eviatio n , (fp s) 35.00 33.00
timecommitment incumbent on all participating faculty. The administration/college/departmentmust be willing to provide lab supplies, faculty summer salary, graduate student assistantsalaries, and extensive clerical and planning support. Decisions on whether to implementsuch a program must obviously be made on a case-by-case basis. With essentials in placehowever, a bioengineering camp could be offered yearly and become a fixture on the 9-12academic scene. We suggest that similar programs could easily be implemented in any of theother engineering disciplines.VI. ReferencesMalgorzata S. Zywno, Member, IEEE, Kimberley A. Gilbride, Peter D. Hiscocks,Judith K. Waalen, and Diane C. Kennedy, Member, IEEE , Attracting Women intoEngineering: A Case Study
applications. They alsomake the historically boring classes much more interesting. They may even inspire someinterested students get into these research areas. Up to now, the preliminary outcome includesvery positive feedback.The extension of this experience to an undergraduate-level course, MA4533/6533 Probabilityand Random Processes, is also discussed. Basically, a project in ECE8803 will be cut intoseveral small projects for MA4533/6533. Considering the background level of ourundergraduates, more explanation work needs to be done before project assignments. This alsorequires a smooth collaboration between faculty members in the ECE and MATH departments.References1. A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes
/reports.html 4 Virginia State University admissions requirements. Retrieved September 27, 2005, from http://www.vsu.edu/docs/admission%20requirements.doc 5 National Science Foundation, Division of Science Resources Statistics. (2003). Women, minorities, and persons with disabilities in science and engineering: 2002, NSF 03-312. Arlington, VA. 6 Ahuja, S. (2005). Including math remediation in a 1st semester engineering technology course. Abstract submitted for the 2006 Southeastern Section Conference, Tuscaloosa, AL. 7 African-American college graduation rates: Intolerably low, and not catching up to whites. (2002, October 31). The Journal of Blacks in Higher Education, 37(89), 89-105. 8 Guay, R.B. (1980
Engineering Educators Annual Conference and Exposition, 2005, Portland, OR[3] Clark, J.V., Minorities in Science and Mathematics: A Challenge for Change, Virginia Parent Information and Resource Center, 2000[4] Clark, J. V., Minorities in Science and Math, ERIC Clearinghouse for Science Mathematics and Environmental Education, ED433216, May 1999[5] Milbourne, L. A., Encouraging Girls in Science and Math, The ERIC Review, Vol 6, Iss. 2[6] Takahira, S., Goodings, D., and Byrnes, J., Retention and Performance of Male and Female Engineering Students: An Examination of Academic and Environmental Variables, Journal of Engineering Education, 87(3), 1998, pp. 297-304[7] Swann, W.B. Jr., Kwan, V. S., Polzer, J.T., and Milton, L.P
following: The Situation and Decision: • Description of the situation • Specific economic decision(s) involved • Societal implications of the decision • Description of available data • Assumptions you have made The Solution: • Description of the economic analysis techniques that are applicable to the problem or situation and calculations associated with those techniques • What decision you would make Note that since you may not have complete information about the situation, you may use reasonable estimates of various figures in your analysis. Figure 1: Project Report FormattingThe survey identified students by course section, discipline, and which project they
.” Proceedings of the 2004 ASEE Annual Conference and Exposition, Salt Lake City, UT, 2004. 2. Subrahmanian, E., Westerberg, A.W., Talukdar, S.N., Garrett, J., Jacobson, A., Paredis, C., Amon, C.H., Herder, P.M. and Turk, A., “Integrating Social Aspects and Group Work Aspects in Engineering Design Education,” Int. J. of Engineering Education, Vol. 19 (1), pp. 75-80, 2003. 3. Amon, C.H., Finger, S., Siewiorek, D.P. and Smailagic, A., “Integrating Design Education, Research and Practice at Carnegie Mellon: A Multi-disciplinary Course in Wearable Computers,” ASEE J. Engineering Education, pp. 279-285, 1996. 4. Finger, S. and Amon, C.H., “Designing and Prototyping Interactive Fluid Dynamics Exhibits for the
mutually exclusive question, they could select either:a) in one or more required courses, b) in elective course(s), c) both or d) neither. The results areshown as percentages in Table 7. Learning Experiences Provided. Perhaps the most significant column is the “Neither.” This column shows the percentageof respondents whose schools do not require the learning experience or offer it as an elective.The largest percentages occur for non-classroom experiences, items 7, 8 and 9 (visits, summerinternships and Co-op’s). While non-classroom experiences are meaningful and desirable, thesenumbers are understandable considering the resources required and the national trend to reducetotal curriculum credit hours. To determine the total “supply
Page 11.1297.121) Deffeyes, Kenneth S. Hubbert’s Peak – the Impending World Oil Shortage, Princeton University Press (2001).2) Kunstler, James Howard, http://www.kunstler.com/mags_diary16.html.3) Smil, Vaclav. “Peak Oil: a Catastrophist Cult and Complex Realities,” World Watch Magazine (January/February 2006).4) Culp, Archie W. Principles of Energy Conversion, McGraw-Hill, Inc. (1991).5) Sorensen, Harry A. Energy Conversion Systems, John Wiley & Sons (1983).6) Hinrichs, Roger A. and Kleinbach, Merlin. Energy – Its Use and the Environment, Brooks/Cole (2002).7) Ristinen, Robert A. and Kraushaar, Jack J. Energy and the Environment, John Wiley & Sons (1999).8) Hubbert, M.K. “Nuclear Energy and the Fossil Fuels,” in American Petroleum
. Bhattacharjee, S. 2002. TEST (The expert system for thermodynamics). http://kahuna.sdsu.edu/testcenter/.4. Appanaboyina, S. and Aung, K., (2004), “Development of a VRML Application for Teaching Fluid Mechanics,” Proceedings of 2004 ASEE Annual Conference, Nashville, Tennessee.5. The Java virtual wind tunnel. (1996). Retrieved July 2,2003, from Massachusetts Institute of Technology, Cambridge, Web site: http://raphael.mit.edu/Java/.6. Carmichael, R. 2005. Public domain aeronautical software. http://www.pdas.com/vucalc.htm7. Compressible Aerodynamic Calculator. http://www.engapplets.vt.edu/fluids/compresssibleAero/ifmCompAero.html8. Purdue University. Compressible flow calculators. http
|OmanAll Disciplines: Sultan Qaboos UniversityAward #6437Category: Lecturing or Lecturing/ResearchNumber of Awards: 3Deadline: August 1, 2005Grant Activity: Teach undergraduate and graduate courses or carry out a combination oflecturing and research activities. Contribute to curriculum and program development,administration and student advising. Classes meet 2 to 4 hours weekly, 15 to 20 students perclass.Specialization(s): Preferred fields include, but are not limited to, environmental sciences,oncology and veterinary sciences.Language: Instruction is in English for sciences, medicine and some other disciplines. FluentArabic is required for Islamic studies and most humanities and social sciences. Interpreters areprovided where necessary for other
”, Grossman, New York, 1973.4 Vygotsky,L., “Mind in Society: The Development of Higher Psychological Processes”, Harvard University Press, MA, 1978.5 Starrett,S., Morcos,M., “Hands-On, Minds-On Electric Power Education”, Journal of Engineering Education, Vol 90, No. 1, pp93-100, January 20016 Felder,R., Peretti,S., “A Learning Theory-Based Approach to the Undergraduate Laboratory”, ASEE Conference Proceedings, Session 2413 , June 19987 Pavelich,M.J., “Integrating Piaget’s Principles of Intellectual Growth into the Engineering Classroom”, Proceedings of the ASEE Annual Conference, pp719-722, 1984, Wash, DC8 Dale,E., “Audio-Visual Methods in Teaching”, 3rd Edition, Holt, Rinehart, and Winston, 19699 Wolkson,A
Frontiers inEducation Conference2002, Session S1A.[3] Smith, B. L, McGregor, J., Matthews, R., Gabelnick, F., Learning Communities: Reforming UndergraduateEducation, Wiley, 2004.[4] Hurd, S. N., Building and Sustaining Learning Communities, Anker, 2004.[5] Walsh, M., Jenkins, D., Powell, K., Rusch, K., “The Campus Lake Learning Community”, Journal of CollegeScience Teaching, Vol. 34, No. 5, Mar/Apr 2005, pp. 24-27.[6] http://learningcommons.evergreen.edu/[7] Castro-Cedeno, M. H., “A Quantitative Assessment of the Benefit of a Learning Community Environment” inProceedings Frontiers of Education Conference 2005, Session F4C.[8] McKenzie, K. and Schweitzer, R., “Who succeeds at university? Factors predicting academic performance infirst year
works may helpstudents to better appreciate and understand the atomic nature and structure of matter,relevant for high school chemistry classrooms. Instructional Learning Goal(s) Standards Link New Nano-concepts materials Section Activity 1: A Many ways to measure NSES/5-8/B/3,a, c A nano-nose can be used to detect Sense of Distance distance other than with eyes NSES/9-12/B/3, c, d small amounts of vapors. and ruler; concept of reference NSES/9-12/B/4, a, b A nano-ear can be used to listen to 2061/6-8/12B/5 small vibrations. Activity 2
programs.Bibliography[1] Eppes, T. and Schuyler, P., “A Robust and Scalable Distance Laboratory Platform”, Proceedings of the 2004ASEE Conference & Exposition, Session 2426.[2] Eppes, T. and Schuyler, P., “A Distance Laboratory System Using Agilent Test Equipment”, 2004 Frontiers inEducation (FIE) Conference, Session T3C.[3] Esche, S.K. & Chassapis, C., “An Internet-Based Remote Access Approach to Undergraduate LaboratoryEducation”, Proceedings of the 1998 Fall Regional Conference of the Middle Atlantic Section of ASEE.[4] Esche, S. K. & Prasad, M. G. & Chassapis, C., “A Remotely Accessible Laboratory Approach to UndergraduateEducation”, Proceedings of the 2000 Annual Conference & Exposition, Session 3220.[5] Gurocak, H., “Initial Steps
0.5 0 ce um on e s ns le l ed Ro
generally measure theCT level of their engineers. This SECtCS modeler created in Phase 2 can be utilized to identifyunproductive student measures or variables specific to that college. This group-specificquestionnaire and model should be utilized for existing students where the organizations find ithard to measure but require innovation in order to retain a competitive advantage.Implementation of other phases of the methodology is not recommended without furtherdirection from the researchers.REFERENCESBarber, Luke and Weinstein, Matt. Work Like Your Dog: Fifty Ways to Work Less, Play More, and Earn More.(New York: Villard 1999)Bassman, Emily S., Abuse in the Workplace, Management Remedies and Bottom Line Impact. (Westport: Quorum Books
group ofexperts located in different geographical areas whose opinions are important for decisionanalysis. Through the Delphi technique different responses and views are obtained on theunderlying problem resulting in the generation of new ideas, unique suggestions, and eventuallygains consensus on the findings among a panel of experts. A conventional Delphi method startswith an open-ended questionnaire and the participants are asked to answer the question(s). Asecond questionnaire composed of collated information and calculated statistics obtained fromthe first round questionnaire is sent out asking respondents to revise their opinions about theproblem under study. This process continues until the consensus is gained among respondents orthe
2006-2658: AN APPROACH TO TEACHING COMPUTER AIDED ENGINEERINGTO A DIVERSE STUDENT POPULATIONJitendra Tate, Texas State University-San Marcos Dr. Jitendra S. Tate is an Assistant Professor in Manufacturing Engineering at Texas State University-San Marcos. He teaches courses in Materials Engineering, Plastics and Composites Manufacturing, Engineering Design Graphics, and Computer Aided Engineering. His research interests include low cost manufacturing of composites, mechanical characterization of composites under static and dynamic loading, fatigue life prediction modeling, finite element analysis, CADD, and statistical analysis. He is a member of several professional societies
• Provide academic • At the beginning of • Faculty participation/ and develop solutions support and counsel- the school year presentation and to enhance the ing. acquaint students interview workshops existing method(s). • Provide scholarships, with departmental, for UG & G minority• Provide leadership to fellowships (offer in college and univer- programs in other coordinate UG & G Dec/Jan), and grants. sity guidelines. relevant states. of all departments • Tuition waivers. • Acquaint students • Computer orientation and Colleges within • Improve stipends and with funding sources workshops, library IHE
understanding is an area that should beparticularly enhanced by use of the spreadsheets.Table 1. Summary of student characteristics and measures of achievement.Section # of % Prior GPA DCI Pre- DCI Post- Total students graduate test* test* Course students Score*Comparison 15 60 3.04±0.61 -- 68±17 (9) 66±23Experimental (F’04) 19 26 3.43±0.49 35±10 (19) 64±13 (16) 77±10Experimental (S’05) 24 38 3.47±0.52 30±11(11) 64±10(6) 79±9
learning. However, in this course, the students require carefulguidance throughout a research effort that is looking outside of applied technology and more atthe base technology available. The use of mobile robotics is also found to be very valuable notonly in providing a meaningful multidisciplinary engineering environment, but also inmotivating students to learn.Bibliography[1] N. Tsoulfanidis. “The Benefits of the Undergraduate Research Experience,” Proceedings of the 1997 AmericanSociety for Engineering Education Annual Conference, Milwaukee, WI, June 1997.[2] D. Ahlgren, I. Verner, D. Pack, and S. Richards. “Effective Practices in Robotics Education,” Proceedings of the2004 American Society for Engineering Education Annual Conference, Salt
. Recentassessments comparing U. S. student performance in multi-national groups reveals serious faultsin this foundation.Society’s leaders and pundits consistently emphasize the role engineering and science educatorsserve in building technical literacy4-6. Methods, techniques and strategies abound for engagingstudents in the quest for technical knowledge and understanding7-8. The authors have engaged in Page 11.1406.3a variety of activities to try and bridge the technological literacy gap, including working with K-12 pre-service teachers9-11.While outreach programs serve an important role informing students of available programs andfields of study, a detailed
project, there are obstacles that must be identified and overcome. Forthis project, major obstacles identified are: change within radiology, change outside radiology(scheduling, registration, corporate culture, physicians), and system thinking.Project Objective(s): Objectives for this project are to: 1. Identify and reduce the impact of the radiology process constraints limiting the ability of the MR and CT areas to maintain their referral base. 2. Provide a project roadmap to maximize the number of procedures available on a daily basis in the MR and CT areas, resulting in increased revenue. 3. Provide a project roadmap to increase patient and physician customer satisfaction 4. Create standardized
and graded to ensure active studentinvolvement. The final tutorial includes creation and generation of an off-line robotics program,which can be sent to a working robot in another location. All students work independently ontheir assignments, but frequently assist one another to overcome problems they encounter.Approximately midway through the ten-week quarter the students are split into teams of three tofive persons for assignment to a company project. Based on individual preferences or companyrestrictions (e.g.; US citizenship) the project is designated and arrangements made for a plantvisit. Typically, a 1-2 hour meeting with the company includes an explanation of their business, ageneral description of the operation(s) to be simulated
AVERAGE Arch 602 (control) Studio S 04 NA 3.83 3.67 4.33 4.33 3.83 3.50 3.50 4.33 4.17 4.50 3.67 4.33 4.17 3.83 4.00
100 N VA 0 J N I W S Installed Gen. Capacity K E N Consumption