concepts. The team-based approach promoted peer instruction, which in turnhelped to reduce the need to lecture and compensated for time used by the lab.AcknowledgmentFunding for this project was provided by an NSF-CCLI grant DUE-0126877. The author Page 11.155.8gratefully acknowledges assistance of Dr. Dennis Robbins and Ms. Gaye Ozgur in settingup these modules.References1. Reisman, S., and Carr, W. A., “Perspectives on Multimedia Systems in Education,” IBM SystemsJournal, 30, 3, 280-295, (1991).2. Bailey, M. and Chambers, J., “Using the Experiential Learning Model to Transform anEngineering Thermodynamics Course”, 34th ASEE/IEEE Frontiers
evidence for thesoftware’s effectiveness. Because of this, a method for capturing knowledge should be developedin the future. When professionals handle knowledge of high value, they intuitively want tocapture it, but often they cannot spend adequate time to capture and store it appropriately.Reference1. Casakin, H., and G. Goldschmidt. 1999. Expertise and the use of visual analogy: Implications for designeducation. Design Studies. 20 (2): 153-175.2. Cross, N., and A. Cross. 1995. Observations of teamwork and social processes in design. Design Studies, 16: 143-170.3. Fruchter, R., and P. Demian. 2002. CoMem: Designing an interaction experience for reuse of rich contextualinformation from a corporate memory. AIEDAM 2002. 16: 127-147.4. Herring, S
and staffindicated that they enjoyed working on the project[s]. Some written comments from the directorand primary liaison, respectively, are provided in Appendices A.1 and A.2. Perhaps the singlebest measure of client satisfaction is their continued commitment from the first to the secondproject, as well as their documented interest in a third project next year through“institutionalization.” Accordingly, the SL project can bring significant benefits to the client,although it requires significant commitment on the part of the client, faculty, and students.4.2 Academic PerformanceAcross all three years that the instructor has taught the course, the course content and gradingsystem has remained essentially the same. Each year, the hardware
, 20032000 L St., Suite 807, Washington D.C. 20036.Scientific and Advanced-Technology Act of 1992, S. 1146, 102d Cong. (1992).Biographical InformationDr. Karen Wosczyna-Birch is Professor of Applied Science and Technology and the StateWide Director of the CT College of Technology. She has been instrumental infacilitating the implementation of the College of Technology and developing industrybased curriculum using local and national skill standards that have responded to industryneeds in technology and engineering. She has over 23 years of experience in highereducation, focusing on two year technology and engineering technology education. Page 11.376.9
A2 is the probability of being accommodated in the other grain, n1 the number of atoms in grain 1 in position to make the jump, p 1 the vibrational frequency of an atom in grain 1. ̇ Geometrical approximations is a common technique used to calculate grain size an also the effect of second-phase particles in grain growth. Here, the force (P) is applied by the particle to grain boundaries. The model assumes the particles as spheres and boundaries as lines or surfaces. P ? r r sin(2s )i where P is the force, s is the angle with the grain boundary, r is the particle
of varying media into highly technological solutions.Nathan Bingham, Purdue University Nathan S. Bingham is a Web Application Programmer with Purdue University’s Continuing Education and Conferences Division. He is currently leading a redesign of the division three websites and online registration system with a focus on improving accessibility, web standards compliance, and usability. Nathan recently graduated with Honors from Purdue’s Computer Graphics Technology program, specializing in Interactive Multimedia Development.Meiqi Ren, Purdue University Meiqi Ren is a Graduate student in the Department of Computer Graphics Technology at Purdue. She is also a Research Assistant for Purdue's
program is being expanded to includeadditional resources for students and for others who might benefit from working within theAcademic Boot Camp. Page 11.463.5Bibliography1. Landis, R.D. (1991). Retention by Design: Achieving Excellence in Minority Engineeringeducation. National Action Council for Minorities in Engineering.2. Agresi, A. (1996). An introduction to categorical data analysis. New York: John Wiley &Sons, Inc., p. 22.3. Hosmer, D.W., & S. Lemeshow. (2000.) Applied logistic regression. New York: John Wiley& Sons, Inc., p. 67.4. Gandara, P., & Maxwell-Jolly,J. (1999). Priming the pump: Strategies for increasing
•Project Management S R •Production Operations Management o E a •External Engineering Courses (3) EM 3 d •Civil, Mechanical, Electrical, Capstone Majors 0 m Environmental or Nuclear Experience 1 a “Projects” Courses p •Acquisition Systems Management •Simulation Elective (1 of 3) >Systems Simulation >Dynamic Systems Analysis
Engineering began in the late 1980’s as an outgrowth of theefforts of Professor Reginald C. Whitsett (retired) of the ArchitecturalEngineering Department. When programs are resident, request for applicationsincrease and popularity has spread to the eastern seaboard of the United States, aswell as Michigan and New Mexico. Brochures, invitation letters and applicationsare sent to potential applicants through US Postal Mail as well as via Internet.Application packages are also sent to participants from previous years. Preliminary planning starts in the fall. Teachers and counselors arecontacted to see if they would be interested in helping to facilitate in the program.North Carolina A&T State University Students, both on the undergraduate
learning is basedon the premise that • Engineering is a global enterprise • Engineering education must prepare future engineers for careers in a global market • Engineers must be prepared to be global citizensII. International Strategic Partners ModelAlthough a variety of ad-hoc types of partnerships existed between engineering faculty and theirinternational partners since the early 1970’s, it was not until 1998 that the College took a morestrategic approach and commitment to developing international collaborations. Since that time,we have created academic and research partnerships with over 25 universities in more than 15countries around the world including Australia, Brazil, China, England, Germany, India, Ireland,Mexico, Singapore
(2002).3. W.G. Schmidt, “Ultra-fine grinding of ceramic powders for the sintering process,” Interceram, 40, 15-18 (1991).4. T. Hibino, K. Suzuki, K. Ushiki, Y. Kuwahara and M. Mizuo, “Ultra-fine grinding of La0.8Sr0.2MnO3 oxide by vibration mill, Applied Catalysis A, General 145, 297-306 (1996).5. M. Akbarieh and R. Tawashi, “Morphic features of solid particles after micronization in the fluid energy mill,” International Journal of Pharmaceutics, 35, 81-89 (1987).6. I. Krycer and J.A. Hersey, “Fine powder mixing in a vibratory ball mill,” International Journal of Pharmaceutics, 6, 119-129 (1980).7. H.S. Hundal, S. Rohani, H.C. Wood and M.N. Pons, “Particle shape characterization using image analysis and neural
the Second Tier: Learning and Teaching Styles in College Science Education." J. College Science Teaching, vol. 23, no.5, 1993); pp. 286-290 .3. Felder, Richard M.: “Matters of Style”. ASEE Prism, vol. 6, no. 4, (1996); pp. 18 –23.4. Zywno, Margozata S. and Weelan, Judith K.: “The Effect of Hypermedia Instruction on Achievement and Attitude of Students With Different Learning Styles.” Proceedings, 2001 ASEE Annual Conference, June 24-27, 2001; Albuquerque, NM.5. Ssemakula, Mukasa E.: “Transforming a Traditional Course into a Long Distance Course”, Proceedings, 1999 Page 11.1378.8 Frontiers in Education
-by-step learningprocess taught in the class. Combined use of the computer-aided solution and thelaboratory experimentation will maximize the students’ learning of the subject taught in alecture class. The web based tool may also be used for distance education and laboratorypractices in fluid power and instrumentation classes.References1. Gere, James, M., Mechanics of Materials, Thompson Learning, USA, 2001.2. Spiegel, L. and Limbrunner, G., Applied Statics and Strength of Materials, Pearson Education Inc., NJ, 2004.3. Esche, S., Prasad, M. and Chassapis, C., “Remotely Accessible Laboratory Approach for Undergraduate Education”, Proceedings of the ASEE Annual Conference, , St. Louise, MO, 2000.4. Francisco, et. al., “A virtual
Universityof Chicago Press: Chicago, 1993.7. Seymour, E.; Hewitt, N. M., Talking about Leaving: Why Undergraduates Leave the Sciences. WestviewPress: Boulder, 1997; p 429.8. Anastasia, T. T.; Tremblay Jr., K. R.; Makela, C. J.; Drennan, N. H., Student Gender Differences inPerceived Importance of College Services. College Student Journal 1999, 33, (2), 206-210.9. Cross, S. E.; Vick, N. V., The Interdependent Self-Construal and Social Support: The Case for Persistencein Engineering. Personality and Social Psychology Bulletin 2001, 27, (7), 820-832.10. Roe Clark, M., Negotiating the Freshman Year: Challenges and Strategies Among First-Year CollegeStudents. Journal of College Student Development 2005, 46, (3), 296-316.11. Huang
. R. Evans, S. Pestotnik, D. Classen “ A computer-assisted management program forantibiotics and other antiinfective agents. N Engl J Med, vol. 8, pp. 338:232-8, 1998.7. R. Wildes, “Iris Recognition: An Emerging Biometric Technology”, Proc. IEEE, vol.85, pp. 1348-1363, 1997.8. J.Daugman, “Statistical Richness of Visual Phase Information: Update on RecognizingPersons by Iris Patterns”, International Journal of Computer Vision, Vol.45(1),pp.25-38,2001.9. J.Daugman, “High Confidence Visual Recognition by a Test of StatisticalIndependence”, IEEE Trans.Pattern Analysis and Machine Intelligence, Vol. 15, No.11,pp.1148-1161,1993. Page 11.805.8
Engineering”, IEEE Transaction on Education,Vol. 48, No. 1., Febuary 2005.2 Brannan, K. and J. Murden, “From C++ to Mathcad: Teaching an Introductory Programming Course witha Non-Traditional Programming Language”, Proceedings of the American Society of EngineeringEducation, Session 1253, 1998.3 G. Fowles, Analytical Mechanics, 4th ed., Philadelphia: Saunders College Publishing. 1986.4 P. J. Pritchard, MATHCAD A Tool for Engineering Problem Solving, Boston: McGraw Hill. 1998.5 Rao, S. Applied Numerical Methods for Engineers and Scientists, Upper Saddle River, NJ: Prentice-Hall.2002. Page 11.1216.8
a real appreciation for what DSP is all about: processing signals quickly andefficiently to achieve some practical objective(s).The traditional textbook approach to teaching FFTs is to present students with a complicated setof equations showing how data is separated into pairs, processed using a 2-pt FFT, thenrecombined with another 2-pt FFT. The pairs of 2-pt FFTs are then processed to create a set of4-pt FFTs and the process is repeated until one single N-pt FFT has been computed. Theequations are typically followed with a Butterfly diagram used to illustrate the flow of data.While the idea is easy to convey to engineering technology students, the equations tend to beoverwhelming for most of my students. The handout described in this
Modular Series on Solid State Devices, G.W. Neudeck, R. F. Pierret, eds, Upper Saddle River: Prentice-Hall, 2002. 4. Hendricks, R. W., Guido, L. J., Heflin, J. R., Sarin, S., “An Interdisciplinary Curriculum for Microelectronics,” Proc. of the 2001 American Society for Engineering Education Annual Conference, 2001. 5. Timmons, C. T., Gray, D. T., Hendricks, R.W., “Process Development for an Undergraduate Microchip Fabrication Facility,” Proc. of the 2001 American Society for Engineering Education Annual Conference, 2001. 6. Hendricks, R. W., “An Undergraduate Microchip Fabrication Facility,” Proc. of the 2001 American Society for Engineering
Solution quizzes and Dante’s Quizcould be used in large class settings since they are individually taken. Team Involvementquizzes could be used in larger classes, but most likely only if team exercises are already a partof the instruction. Presentation quizzes are not likely viable in large class settings.References1. Murray, S., “Increasing Student Commitment to Class Preparation” Proceedings, 2005 ASEE Annual Conference, Portland, OR, June 2005.2. Lowman, J., “Mastering the Techniques of Teaching”, 2nd Edition, Jossey-Bass publishers.3. Mazzei, A., “An Approach for In-class Learning of Mechanical Engineering Design Subjects” Proceedings, 2005 ASEE Annual Conference, Portland, OR, June 2005
. Chubin, D. and Babco, E., “Walking the Talk” in Retention-to-Graduation: Institutional Production of Minority Engineers – A NACME Analysis, Commission on Professionals in Science and Technology (www.cpst.org/WalkingtheTalk.pdf), July 2003.6. Morrison, C., Griffin, K., and Marcutillio, P., “Retention of Minority Students in Engineering: Institutional Variability and Success,” NACME Research Letter, Vol. 5, No. 2, 1995.7. Peterson, L., Pinkham, S., and Jordan, C., “ALVA: A Successful Program for Increasing the Number of Minority Undergraduates who Earn Engineering Degrees,” Proceedings of the 2005 ASEE Annual Conference and Exposition, Portland, OR, June 2005.8. Morning, C. and Fleming, J., “Project Preserve: A Program to
their analysis results are also presented.Example 1: Compute the new velocity and acceleration of the aircraft after a change in powerlevel. During a test flight, the test pilot has set the engine power at 50,000 Newtons, whichcauses the 20,000 Kg aircraft to attend a cruise speed of 250 m/s. The engine throttles are thenset to a power level at 80,000 Newtons, and then the aircraft begins to accelerate. The differentialequation that determines the acceleration of the aircraft is dv T ? a * v, t + ? / 0.00005v 2 dt mT ? thrust level in Newtons (80,000 Newtons)m = mass in Kg (20,000 Kg)Write a MATLAB program to determine the new cruise speed after the change in power level ofthe engines by plotting the
of Minorities in Engineering and Technology. New York, 2001.7. Starks, S., S. Blake, and E. MacDonald, “Stimulating Pre-College Interest in Science, Engineering and Mathematics through Space-Oriented Activities,” Proceedings of the 2005 ASEE Annual Conference, Portland, OR, June 2005.8. Blake, S. and S. Starks, Texas PreFreshman Engineering Program, Final Report, 2004 Page 11.487.12APPENDIX ATexas Prefreshmen Engineering Program El PasoThe purpose of the Texas Prefreshmen Engineering Program El Paso chapter is to identify high-achieving middle and high school students with an interest in engineering, science, and
on gender using crosstabfrequencies, prevalence ratios, and the T-test to determine whether non-parametric scores in bothgenders differ. By understanding gender differences in attitudes and interests in biological engi-pggtkpi."yg"ecp"cfftguu"kuuwgu"kp"vjg"Ýgnf"vq"kortqxg"dqvj"tgetwkvogpv"cpf"tgvgpvkqp0Surprisingly few differences were found in the data based on gender. Based on several measures,females were equally prepared for biological and agricultural engineering when compared withmales. However, differences were found in “hands-on” preparation and family background.IntroductionSince the early 1990’s the “pipeline theory” has been accepted as the dominant conceptualframework to describe the relationship between education and occupation
faculty technical assistance in course development and materials. Rensselaer, SUNY-Albany and RIT are internationally recognized for their expertise in Microelectronics and Semiconductor research and education. Other unit(s) of the College – No new requirements with the exception of assistance from the Chemistry & Physics Department at HVCC. Equipment – New equipment is required for the program and is estimated to cost $507,244. An equipment list is attached. Three $28,000 vacuum trainers were purchased with funds from the now defunct Center For Technology Skills Training at no cost to the college. Center For Technology Skills Training also purchase a Semiconductor Manufacturing Trainer at no cost to the college. We have set up and evaluated
engineeringproducts. The result is that each student leaves the shop with one or more individual parts fromtheir team’s product and thus an individualized assignment. They spend the next several weeksindividually recreating their part(s) within a solid modelling software package. Assessment of astudent’s 3D results is based on a combination of visual comparison of the computer versionrelative to the actual part coupled with a comparison of the computer calculated mass (requiresthe students to correctly identify the material of their part) with the actual mass of the part. Thefinal grade assigned does factor in an assessment of the degree of difficulty to recognize thevariability in the student’s assigned parts. High quality work is also rewarded through
and the last with a service-learning curriculum.This paper presents a summary of the general course objectives, the service-learning curriculumcomponents introduced in 2004 and a detailed discussion of the study results outlining thestatistical results and broader implications for first year engineering curricula.BackgroundSince the mid-1900’s, traditional undergraduate engineering education has been focused on thedevelopment of specialized technical knowledge in students for the purpose of solvingchallenging problems. As a result, the last half-century of engineers have been highly technicallytrained, but generally lack the skills often associated with other successful professionals, such as
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Imaging ‚ BiometricsStudents must select at least one course from this list of electives. The capstone course isenvisioned as either a capstone project in an area of Biomedical Engineering Technology or as asupervised industrial Internship during which the student will gain a broad experience of somearea(s) of Biomedical Engineering Technology. Students will be required to write a report oftheir Internship experiences, and will also be provided with a grade by their industrialsupervisor.The ECET faculty is already working in consultation with the Biology department to develop acourse in Anatomy and Physiology which will be used to replace the Biological Principles Icourse. This course will provide an overview of all the major body systems and
therefore a challenge to the energy distribution network industries. Bydeveloping the above mentioned course the students will have enough understandings andtechniques to take on the challenges that are facing today’s energy distribution network systems. Page 11.507.9Bibliographic Information1. S. Monemi, “Fault Management Systems in Energy Distribution Network Environments”, Ph. D. Dissertation, Vanderbilt University, Dec. 1999.2. G. Karsai and A. Ledeczi, “ A Graphical Modeling Environment for the Multigraph Architecture”, ISIS, Vanderbilt University, Manual ver. 0.5, Nashville, TN, 1998.3. UML Semantics, ver. 1.1, Rational Software
engineering profession. Furthermore, technology education exposes 1students to open-ended problem solving, a skill required of future engineers. Technology education is often misunderstood – it has undergone a significanttransformation since the mid-1980’s. At the core of this transformation is a transitionfrom education associated with the industrial arts to education associated withtechnological literacy and engineering education in K-12 schools. This transformation ishardly complete, in part, because of stereotypical attitudes held by many. Greg Pearson[4], a Program Officer with the National Academy of Engineering, candidly points tosome of the