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
sexualharassment in any situation.The second goal will be to describe how ABET program outcomes (i) and (j) are addressedthrough this ethics course content.COURSE CONTENTThe course content for a one credit ethics course sheds light on the areas that require the greatestconcentration of discussion and effort. A sample course schedule can be seen in the syllabuslocated in the Appendix. The course begins with the discussion of what ethics is in the narrowscope of the American “baseball, apple pie and mom” mentality and deals with issues that arerelatively straightforward. This approach addresses ethics from a fundamental moral standpointand uses case studies surrounding issues such as Ford Pinto’s exploding gas tank of the late1970’s and the space shuttle
on module design, to Jairam Eswara for providing the exam data from theoriginal curriculum, to Itty ‘James’ Samuel for his work implementing the tutorials, to Ragu Vijaykumarfor his work implementing the simulation, and to Professor Robert Linsenmeier of NorthwesternUniversity for his valuable insights on module design.References1. How People Learn: Brain, Mind, Experience, and School. Eds: Bransford, J.D., Brown, A.L., Cocking,R.R.. National Academy Press (Washington; 1999).2. Gunter H.E., Bonventre, J.V., D’Avila M.A., Sadeghpour S., Vijaykumar R. (2003), “EducationInnovation in Physiology” Proceedings of the American Society for Engineering Education AnnualConference. Nashville, TN, June 22-25, 2003.3. Henrickson S.E., Gunter H.E
—2003 Annual Report, Bloomington, IN: Center for Postsecondary Research, Indiana University, 2003.3. Jim Eison, Promoting Active Learning in Large Classes, The 25th Annual Lilly Conference on College Teaching, November 17-20, 2005.4. Karl S. Smith, Sheri D. Sheppard, David W. Johnson, and Roger T. Johnson, Pedagogies of Engagement: Classroom-Based Practices, Journal of Engineering Education, January 2005, pp 87-101.5. Cynthia Desrochers, Student Engagement: Time for Your Course?”, The 8th CSU Regional Syposium on University Teaching, Cal Poly Pomona, April 2, 2005.6. Tarek Shraibati and Sarfaraz, A. R., The use of Common Sense Applications in Teaching Engineering Economic Analysis, Proceedings of the ASEE, June, 2005
Southeast, and the U. S. We believe that the addition of the astronautics optionwill increase the potential for our graduates to find positions after graduation. As discussedabove, there has been a renewed emphasis in the U.S. on space exploration, and companies whoare developing the technologies necessary for new space exploration will need engineers trainedin astronautics. There is also continued growth in the area of space utilization fortelecommunications, imaging, weather forecasting, and other fields, and the companies andmanufacturers involved in these areas, such as the design and construction of earth satellites,need engineers trained in astronautics. Stennis Space Center, is the primary engine test facilityfor NASA, and the increase in
students inMay 2005 and May 2006. These results are presented below in Figures 1 and 2. Figure 1 showsthe rubric scoring averages in each of the five assessment categories for the industrial advisoryboard and the faculty. In general, the IAB assessed the students higher than the faculty but theaverages were very close. Page 12.1551.8 4 3.5 3 R u b ric A v e ra g e s 2.5 Board
(problem-based, tool-based, cases) Pedagogical goals Targeted course Targeted student audience, Prerequisite(s) Lecture notes (e.g. slides). Reading materials for the instructor (e.g. list of references) set of exercises and/or projects Instructor solution manual for the provided exercises Evaluation of module for potential curriculum impact assessment rubricsFaculty Training
teaching three second-semestersophomore courses, and is in a position to work with these students to produce better team projectreports using LATEX/Subversion. Lessons learned from the first pilot study should lessen some ofthe difficulties experienced by the Juniors in learning how to participate in this collaborativewriting effort.6 AcknowledgmentsThe authors would like to thank Mr. Kevin Hickey, University of Detroit Mercy Web ServicesTeam for his technical support of this project.References [1] S. Miertschin and C. Willis, “Building infrastructure to develop electronic collaboration skill among students,” in Proc. 2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global
. Literature on data visualization spans several decades—from the time wherevisualization activities required significant and dedicated computing facilities and proprietarysoftware, to distributed and collaborative visualization using inexpensive yet powerful desktopcomputers. 9, 10, 11Currently, visualization technologies are at a critical crossroad. Will data visualization remainthe provenance of an elite few or will structures and approaches arise to distribute its Page 12.1594.4functionality to those who can best make use of its potential? It is the modern equivalent of the1990’s centralized versus decentralized computing conflict.In this
distance education classes onwireless network configuration and security.References1. Mark Ciampa “ Security + Guide to Network Security Fundamentals, Second Edition” ISBN 0-619-21566-6 ©20052. Michael T. Simpson “ Hands-on Ethical Hacking and Network Defense” ISBN 0-619-21708-13. Allied Telesis Company. Available: http://www.alliedtelesyn.co.uk/site/files/documents/datasheet/MC1X_G.PDF downloaded January 17, 2007.4. Raza, I, “Containing emissions from a microprocessor module”, IEEE International Symposium on Electromagnetic Compatibility, Volume 2, 21-25 Aug. 2000 Page(s):871 – 876 vol.2.5. Phil Lunsford, Lee Toderick, "Firewalls for Remote Computer Labs", presented at the 2003 Convention of the National Association of Industrial
Interdisciplinary Journal of Study Abroad. Vol. X. 2004.[15] DiBiasio, D., N.A. Mello, and D. Woods, (April, 2000). Multidisciplinary Teamwork: Academic Practices and Assessment of Student Outcomes. Paper presented at Best Assessment Processes III Conference, Rose-Hulman University, Terre Haute, IN.[16] Besterfield-Sacre, M., L.J. Shuman, H. Wolfe, C.J. Atman, J. McGourty, R.L. Miller, B.M. Olds, and G.M. Rogers, (2000). Defining the Outcomes: A Framework for EC 2000. IEEE Transactions on Education 43 (2), 100-110.[17] DiBiasio, D., & Jiusto, S "Experiential Learning Environments: Do They Prepare Our Students to be Self- Directed, Life-Long Learners?" 2006. JEE, 95 (3), pp. 195-204
: Sample questions from workshop participant content assessment Module Question A wave has a wavelength of 50 m and is traveling at 2500 m/s. What is itsSound frequency? a. 250 Hz b. 50 Hz c. 2550 Hz d. 125,000 Hz Which property concerning electric flow is true?Electricity a. Electrons move toward the positive terminal of the circuit b. Electricity flows fast if the circuit is an open loop, not a closed
. Ali, A., & Ali, U. (2010). Predictability of engineering students’ performance at the University of Engineering and Technology, Peshawar from admission test conducted by Educational Testing and Evaluation Agency (ETEA), NWFP, Pakistan. Procedia Social and Behavioral Sciences, 2, 976–982.2. Andrew, S., Salamonson, Y., Weaver, R., Smith, A., O’Reilly, R., & Taylor, C. (2008). Hate the course or hate to go: Semester differences in first year nursing attrition, Nurse Education Today, 28(7), 865-872.3. Baker, J.G. (1998). Gender, race and Ph.D. completion in natural science and engineering, Economics of Education Review, 17(2), 179-188.4. Cohen, L. (1946). Predicting academic success in an engineering college
window (Team 8) Page 23.604.6The primary focus of this study is each team’s Project Executive Summary submittedelectronically. This assignment asked teams to write a maximum 2-page, single space summaryin which they were to address the following questions in a narrative form: How is your project specifically related to nanotechnology? Why is your project important for learners? How did you incorporate the [network]’s team in your solution? What problem are you solving? What is your solution? Briefly describe the grade level target you are targeting, the engineering activity, the science
www.spaceportindiana.com2 www.seds.org3 List, R.J., Smithsonian Meteorological Tables, vol. 114, 1951.4 Federal Standard 1037C, Telecom Glossary 2000, 7 Aug 1996.5 http://www.airnav.com/airport/KBAK Page 23.665.96 Yagi, H, and Uda, S., Japanese Patent No. 69115, 1926.
participating institution by trained PACE researchteam members and consultants. Interview questions focused on reasons for choosing anengineering major, experiences with engineering departments, support structures, andexperiences specific to being an underrepresented student in engineering. An appropriatequalitative study sample size is one that sufficiently answers the research question(s).18Therefore, this project analyzed interviews with thirty-four underrepresented minority studentsranging in age from 18-28. See Tables 1-3 for demographic information about the participants.Data analysis, using NVivo 9 qualitative data analysis software, utilized a combination of bothopen and focused coding methods.19 Research questions provided a lens for the
NON-PROPORTIONAL LOADINGThe distortion energy theory predicts that yielding occurs when the distortion strain energy perunit volume reaches or exceeds the distortion energy per unit volume for yield in simple tensionor compression of the material (Budynas and Nisbett, 2011). This leads to the failure criterionthat material yields when the effective stress or von Mises stress, reaches or exceeds thematerial yield strength, Sy. 1 (1 2 )2 ( 2 3 )2 ( 3 1 )2 S y 1/ 2 (3) 2Where σ1, σ2, and σ3 are the principal
teacher ran MD simulation of the nano-composite by GROMACSin Linux system and learned to use Visual Molecular Dynamics (VMD) to visualize moleculartopologies and analyze the results, and discussed current issues and future work trends. Figure 1: PNIPAM and GO (water box not shown). The engineering process is about finding solutions to problems. Today’s high schoolstudents need to think like both scientists and engineers. Scientists ask a question and follow thesteps of the scientific method to answer the question. Engineers ask: Who need(s) what becausewhy?5 Both methods are important for students to understand and experience, but in order to doso current delivery and instruction practices require modification
engineering.References1. am Ende, D. (ed) Chemical Engineering in the Pharmaceutical Industry: R&D to Manufacturing. Wiley, 2010.2. http://pharmeng.rutgers.edu/ [accessed 1/7/2013]3. http://chemicaleng.njit.edu/academics/graduate/masters/pharm.php [accessed 1/7/2013]4. Farrell, S., Slater, CS., Gephardt, ZO., Savelski, MJ. Workshop Modules on Pharmaceutical Engineering forUndergraduate Education. Proceedings of the 2012 ASEE Conference & Exposition, San Antonio, TX, 2012.5. Cavanagh, DP, Wagner JJ. A Three-Week Hands-On Introduction to Biotransport & Drug Delivery for First-YearEngineering Students. Proceedings of the 2005 ASEE Conference & Exposition, Salt Lake City, UT, 2004.6. Allen, LV. Popovich, N., Ansel, HC. Ansel’s Pharmaceutical Dosage
with mention of scientific study. The information presented was simplyaccessed and assimilated into their solutions without any concerns for accuracy or credibility.The subjects did not also address the limitations in the source that reported data only to a speedof 8 m/s for helmets, but relied on concept based assumptive relationships between the height ofthe hill, co-efficient of friction and velocity, of which the accuracy and implications remainedunquestioned.Analysis of Engineering Post-test Safety Recommendations UnitIn this post-test, the subjects based their conclusions off of their initial analysis supplemented byconcepts and supplemental information. There were minimal conclusions based off ofassumptions formed by first person or
idea of possible selvesand identity play to examine this process.Interactive Response and InteractionsFrom our early observations of the students’ use of the portfolios, we could see that identitywork and play occur in a variety of contexts, mediated by individual reflections as well as theresponses and interactions of other individuals. These observations informed our categorizationof “Interactive Response” (IR) as a site of learning mediated by diverse interactions with bothpeople (instructors, peers, friends/family, clients) and symbolic artifacts (e.g., professional codesof ethics). In this conception of IR, we pick up on Hattie and Timperley’s broader notion offeedback as provided by multiple “agent[s]”[8] in response to a particular