calibration, bridge design and evaluation, and reliability of bridge structures. Page 13.1032.1© American Society for Engineering Education, 2008 Reliability of Bridges: Significant Addition to Civil Engineering CurriculumAbstractRapid highway system development in the United States in the 1960’s and 1970’s has resulted ina large number of bridges reaching a stage in need of repair, rehabilitation, or replacement.Truck loads have also been steadily increasing since then. This has made the situation evenworse. Many developed countries are currently experiencing a problem of aging
m =0 m yk +m , where xm is a sample of the transmittedsignal and yk+m is a sample of the return signal, 0 ≤ k ≤ N – 1, and N is the number of samples ineach sequence.Programming ConsiderationsThe program consists of a main form with three plots. User controls allow changes in thefollowing parameters: the number of cycles, amplitude, and frequency of the transmitted pulse;the delay of the received signal; and the type and amplitude of the noise. Additional controlsallow the user to have the program generate a new noise sample or display a histogram of thenoise in a pop-up window. The S/N ratio in the simulated signal plus noise is also displayed.The topmost plot displays the transmitted
, v 4, 1988, p 194-2045. Runyoro J, Boutorabi S, Campbell J., AFS Transactions, v 100, 1992, p 225-2346. Cuesta R, Delgado A, Maroto J, Mozo D, Proc. World Foundry Congress 2006, 4-7 June, Harrogate, UK, paper n. 867. Berry J, Luck R, Felicelli S, Liquid Metal Damage Before and After Pouring – Some Recent Observations, Seminar on High Quality Castings, 27-Mar-2007, Valladolid, Spain8. Poola S, Felicelli S, Legget S, Berry JT, A re-examination of factors affecting porosity gradients in unidirectionally solidified samples, to be presented at 112th Metalcasting Congress, Atlanta, GA, 17-20 May 20089. Felicelli S D, Heinrich J C, Poirier D R: Numerical model for dendritic solidification of binary alloys, Numer
Technology, Engineering Technology, Electronics, as well as Drafting andDesign, attend each Forum. Each participant is responsible for his or her own travel. The mostrecent ET Forum was held March 6-7, 2008 at Pensacola Junior College (PJC), which servesEscambia and Santa Rosa Counties in the state’s panhandle. The fall 2008 Forum will be hostedby Seminole Community College in Central Florida. For more information on the ET Forumsvisit: www.fl-ate.org/partners/et_forum.htm Meetings of the Florida Engineering Technology Forum 1 S 1996 University of Central Florida 2 S 1997 Seminole Community College 3 F 1997 Gulf Coast Community College 4 S 1998
(D) z = 27e−0.927i 4 + i52. Rationalize the complex number, 2+i (A) z = 2.6 + 0.8i (B) z = 0.8 + 2.6i (C) z = −0.8 − 2.6i (D) z = 2.6 − 0.8i3. The Laplace transform of the solution to the following equation with the given boundary conditions is y "+ y − sin 3t = 0 y '(0) = 0 y '(0) = 0 3 3( A) y( s ) = ( B) f = y( s
-1921. Proceedings of the 2006 American Society for Engineering Education Annual Conference & Exposition.12. Glatz, C., Narasimhan, B., Shanks, J., Huba, M., Saunders, K., Reilly, P., Mallapragada, S. 2004. Problem- based learning laboratories involving chemicals from biorenewables. Paper No. 589. Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition.13. Al-Dahhan, M., Picker, S., Weigand, C., Chen, A. 2000. Development of a biochemical experiment for the unit operations laboratory through an undergraduate research project. Paper No. 2578. Proceedings of the 2000 American Society for Engineering Education Annual Conference & Exposition
can be particularly critical in creating connections between teachers in different departments – for example, connecting the math and science teachers. ‚ Introduce Active Collaborative/Cooperative Learning (ACL) to build student engagement in classroom ACTIVITY ‚ Introduce Project Based Learning (PBL) to build connections between core subject areas – no project is solely focused on learning in math (or science, or English or social studies) – and to build student ownership of the learning objectives ‚ Introduce Engineering as the context for “real-world” projects to build student buy-in (why do I need this? s I need this to get a good job/contribute to society, etc)There are several challenges to be
ePortfolio Preparation Review Period Quality Characteristic Level Period S M U Initial Sophomore Year Winter/Spring Semester S M U Intermediate, or Junior Year Winter/Spring Semester S M U Mid-Level Final Senior Year Winter/Spring Semester S M U S – Satisfactory M – Marginal U - UnacceptableNote: In the rubric for evaluation criteria of the ePortfolio, S can be set at 80 to 100, M at 70 to80, and U below 70.Rubric for Assessment of ePortfolio ContentRubrics that are simple to
AC 2008-84: IMPLEMENTING RESEARCH–BASED INSTRUCTIONALMATERIALS TO PROMOTE COHERENCE IN PHYSICS KNOWLEDGE FORTHE URBAN STEM STUDENT.Mel Sabella, Chicago State University Mel S. Sabella is an Associate Professor of Physics at Chicago State University (CSU). His interests focus on improving STEM education for underrepresented students. Sabella is the director of an NSF – CCLI project that integrates research-based instructional material in the introductory urban physics classroom. He is also director of the Physics Van Inservice Institute, part of a project supported by the Illinois Board of Higher Education. Sabella earned his PhD. in Physics Education Research from the University of Maryland
. Page 13.800.3 Table 1 Function Capabilities in Excel Steam Table Calculators Spang Holmgren Property Calling Function Calling Function1.) Density in single-phase state(a.) As a function of pressure and temperature densW(T;P) rho_pT(p,T)(b.) As a function of pressure and enthalpy --------------------------- rho_ph(p,h)(c.) As a function of pressure and entropy ---------------------------- rho_ps(p,s)2.) Specific internal energy in single-phase state(a.) As a function
) Experiment planning and data collection,(5) Equipment operation, (6) Safety procedures, and (7) Statistical tools and analysis forimprovement.Each of previous issues has a specific weight (w), and there is a suggested scale (s) for eachscore. Using this matrix, a better feedback can be obtained. However, sometimes it isrecommended to derive a holistic rubric from the detailed rubric. A holistic rubric allows you toasses different skills of the students for accreditation purposes once or twice rather than on eachexperimental session. For example, sometimes writing skills are more important than designingan experiment or student competencies with laboratory equipment. Certainly, to assess all of thelaboratory skills in each experimental session will
theassessment of instructors, parents and other professional observers (one of the observers had a doctorate ineducation) during 2006-07. Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low, Normal,High), learner interest (Low, Normal, High), possible audience types (Families, Children, Adults, College Students, Teachers,Professionals, Underserved, Retired, Boy Scouts, Hobbyists and Explorers), and possible locations (Museum, Science &Technology Center, Community Center, Mall and Shopping Center, Library, Websites, After-School Locations). Gen. Learning STEM Expected Learner Audience Possible Unique Aspect Area
associated with the first example will be used to develop a model of the reactionkinetics of nicotinic acetylcholine receptors at the postsynaptic membrane of the neuromuscularjunction.A. Ligand-Receptor Interaction Figure 1 is a diagram of a simple ligand-receptor interaction where the rate constants kf (M-1 -1 s ) and kr (s-1) model the reaction associated with the ligand binding to the receptor and thereverse dissociation reaction respectively. The associated equilibrium reaction and the concomitant reaction rate equation are shown in(1) where R is the number of unoccupied receptors per cell, L is the free ligand concentration(M/dm3) and C is the number of bound receptor ligand complexes per cell
AC 2008-1598: TC2K AND CLASSROOM ASSESSMENT: THE CASE FORCOMPREHENSIVE COURSE ASSESSMENT IN SUSTAINING CONTINUOUSPROGRAM IMPROVEMENTDavid Cottrell, University of North Carolina at Charlotte DR. DAVID S. COTTRELL is an Assistant Professor in the Department of Engineering Technology, University of North Carolina at Charlotte. He graduated from the United States Military Academy in 1978 and retired in 2000 after more than 22 years of service with the US Army Corps of Engineers. Studies at Texas A&M University resulted in an MS Degree in Civil Engineering in 1987 and a PhD in 1995. He is a registered Professional Engineer and has taught courses in statics, dynamics, mechanics of materials, graphic
and summarize the materials in a creative way to promote thestudents’ understanding. An appropriate assessment is for sure needed.1.1 Example 1There are many gas power cycles, such as Carnot cycle, Otto cycle and Diesel cycle. In mostcases, the textbook discusses each of them and shows the process in a P-v and/or a T-s diagram.The diagrams can help the student to understand and memorize these cycles. However, thestudents may become confused to remember these curves because all the curves are quite new tothem. To help the students in learning these cycles, it is seen that all the well-known reversiblecycles (Carnot, Ericsson and Stirling) can be integrated into one T-s diagram (or a P-v diagram).Figure 1 shows the individual diagrams of the
was tracked and programs siftedchildren into different career pathways, academics and manual labor (vocational) trades becamea topic of heavy debate. In efforts to improve image and steer away from the debate, thedepartment had its first name change in the 1960’s to the Department of Industrial Education andTechnology.Factor evaluation for enrollment declineAnnual birth rates in the United States peaked their highest numbers during 1954 thru 1963 7,which will become vital to enrollment numbers during the late 70’s and early 80’s. Theenrollment for the IET department during the 1960’s began to increase, especially in IndustrialEducation as the biggest program, due to post war economy and close recessions during the yearsof 1953 through 1961 12
individual department schedule constraints. Ingeneral, a single faculty member from each department is designated to be with the students forthe two week duration. Table 2: EGR 1700 Department Schedule (each for Che, ECE, ME, CEE ) W eek 1 M o nday Tue s day W e dne s day Thurs day Friday Le ctu r e 1 Le ctu re 1 Le ctu re 2 Le ctu r e 2 no thing 1 2 :3 0 -1 :2 0 1 :0 0 -1 :5 0 1 2 :3 0 -1 :2 0 1 :0 0 -1 :5 0 (Se c tio ns 2 ,3 ,4 ) (Se c tio ns 1 ,5 ,6 ) (Se c tio ns 2 ,3 ,4 ) (Se c tio ns 1 ,5 ,6 ) 0
in the geotechnical arena. Dennis is a registered professional engineer in the states of Colorado and Arkansas.Debra Larson, Northern Arizona University Debra S. Larson is a Professor and Chair for the Department of Civil and Environmental Engineering at Northern Arizona University in Flagstaff, AZ. Prior to her faculty appointment at NAU, Debra worked as a structural and civil engineer for various companies. She is a registered Page 13.586.1 Professional Engineer in Arizona. Debra received her B.S. and M.S. degrees in Civil Engineering from Michigan Technological University in, respectively
clear and carefulderivations of the control volume equations for the conservation of mass, linear momentum, andenergy (first law of thermodynamics) for compressible fluids using the RTT approach. He alsostated without derivation, comparable forms of the angular momentum equation and the secondlaw of thermodynamics for a control volume. Like his predecessors, Shapiro considered onlynondeforming, nonaccelerating control volumes. Vincenti notes that the explicit control volumeapproach began to appear in thermodynamics textbooks at this time.Spread of the RTT in U. S. Introductory Fluid Mechanics TextbooksVincenti labels the era after about 1955 the period of diffusion of control volume analysis in
to increase interaction betweenprofessors and students. We have used both Ubiquitous Presenter (UP)6,7,8 from the University ofCalifornia at San Diego (UCSD), and DyKnow Vision™ 9,10 to “push” charts out to studentsthat the students can mark up and submit back to the instructor. Curricula are being extended toincorporate interactive segments in which students can take turns entering the next step(s) instructures under discussion. For example, they may enter several lines of code for a program theyare writing jointly and then the whole class can view the result of those added lines. Anotherexample involves proceeding step by step through the details of how an encryption algorithmsuch as the Advanced Encryption Standard (AES) operates on
women to engineering, with specific attention to theofferings at the University of Louisville J.B. Speed School of Engineering.IntroductionWomen and minorities have been underrepresented by alarming proportions ininstitutions of higher education in general and in science and engineering (S&E)programs in particular over the last quarter century. Although more female and minorityhigh school students have at least heard of engineering, relatively few of them have hadthe opportunity to become familiar with engineers and the work they perform. As notedin Figure 1, Bachelor's degrees awarded in S&E and non-S&E fields by sex for the yearsof 1966–2004, nationally, women earn substantially more bachelor's degrees in non-S&Efields than
University of Georgia has resulted in over 100 publications and 3 patents. Page 13.1379.1© American Society for Engineering Education, 2008 Variation in computing the Length Factor in the Universal Soil Loss Equation Ernest W. Tollner Abstract The universal soil loss equation, A = R*K*L*S*C*P, estimates average annual soil loss A based on rainfall (R), soil factor (K), length factor (L), slope (S), effective cover factor C, and a practice factor P. In teaching the use of the relationship, students can find values of R on
Tyler, R. W., 1949. Basic principles of curriculum and instruction 2 Finch, C. R., Crunkilton, J. R., 1989. Curriculum Development in Vocational and Technical Education; Planning, Content, Implementation. Allyn and Bacon, INC. 3 Kwon, H. S., Yi, S. B., 2003. The development of hands-on activities based production technology curriculum by objective model at the secondary schoolThe first category of literature, systematic curriculum development theories, is summarized inTable 1. Curriculum development focuses primarily on content and areas associated with it.However, the curriculum should define the educational goals and mission for the time beingduring the development procedure
no two students arelikely to receive the exact same problem decreases the odds of cheating or copying answers fromother students, both of which are widespread issues when assigning problems from the textbook.There are online homework systems, such as WebAssign, which are tailored to individualtextbooks, but they typically utilize the same homework problems as in the textbook andeqpugswgpvn{"fqpÓv"thwart cheating or the problems associated with easy access to completesolutions manuals.One aspect of teaching that WeBWorK can change radically is the meaning of Ðoffice hoursÑ.WeBWorK allows students to e-mail their instructor and/or other designated person(s) frominside a particular problem in their WeBWorK assignment. The instructor (and/or
/4/470/7 in the classroom as STEM professionals. GE Foundation 03/02-03/05 $315 (#’s part of above) Included focus on increasing diversityK-12 Project-Based Learning NSF GK-12 Extended to include St. Lawrence Univ.; Focus on 07/04 – 06/09 $2,000 5/14/10/650/17Partnership Program (PBLP) Track 2 institutionalization NSF-OPP
13.641.8long run, making universities and engineering schools exciting, creative, adventurous, rigorous,demanding, and empowering milieus is more important than specifying curricular details”.[41, p.162]Bibliography1. Agosto, D. E. (2004). Using gender schema theory to examine gender equity in computing: A preliminary study. Journal of Women and Minorities in Science and Engineering, 10(1), 37-37-53.2. American Society for Engineering Education. (1994). Engineering Education for a Changing World., 1994, from http://www.asee.org/resources/beyond/greenReport.cfm3. Bell, A. E., Spencer, S. J., Iserman, E., & Logel, Christine E. R. (2003). Stereotype threat and women's performance in engineering. Journal of Engineering
cos m/s, 0 s ≤ t ≤ 5π s. 5 (b) the distance STOP STOP between the two stop signs; and 20 (c) the acceleration at 15
. Page 13.935.10Table 4. Green and sustainable engineering resources for educators. Books Authors Year Title Allen, D. T., Shonnard, D.R. 2001 Green Engineering: Environmentally Conscious Design of Chemical Processes American Society of Civil Engineers 2004 Sustainable Engineering Practice: An Introduction Brissaud, D., Tichkiewitch, S., 2006 Innovation in Life Cycle Engineering and Sustainable Zwolinski, P. Development Camarinha-Matos, L. M. 1997 Re-engineering for Sustainable Industrial Production Doble, M., Kumar, A. 2007 Green Chemistry and
on team building for thesemester-long team projects. Overall student experience and lessons learned inorganizing such a project are also discussed.1. IntroductionDeveloping effective teamwork skills among undergraduate students is part of theAccreditation Board for Engineering and Technology (ABET)’s engineering criterion2006- 2007 [1]. Besides the ABET requirements, many employers emphasize the need ofgood teamwork skills for the engineering graduates [2]. In addition, it is well known thatcooperative learning enhance students’ learning performances. Under the cooperativelearning or teamwork environment, students work together to maximize not only theirown, but other students ability to learn [3,4]. Most engineering programs incorporate
of Chemical Engineering and Executive Director of the Center for Pre-College Programs at New Jersey Institute of Technology. He has spent the past thirty years designing and implementing professional development programs and curricula for K-12 teachers in science and technology. At the college level, he collaborates on projects exploring teaching methodologies and assessment strategies in first-year college courses in the sciences, engineering, and computer science.Linda Hirsch, New Jersey Institute of Technology LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters