AC 2009-1643: COMMUNITY-BASED SERVICE PROJECT LEARNING IN CIVILENGINEERING COURSESClara Fang, University of Hartford Page 14.342.1© American Society for Engineering Education, 2009 Community-based Service Project Learning into Civil Engineering CoursesAbstractThis paper describes and analyzes the experience of implementing community-based serviceproject learning into civil engineering undergraduate courses at the University of Hartford, andconsiders the evidence of the impact of such learning on students and community organizations.The paper begins by discussing how such a learning module has been developed and analyzesthe
Electrical/ElectronicsEngineering Technology Program Criteria Outcomes1 shown in Table 1 as Outcomes 12 through16. An appropriate mastery of the knowledge, techniques, skills and modern tools of the disciplineOutcome 1 (ABET 2.a ) An ability to apply current knowledge and adapt emerging applications of mathematics, science,Outcome 2 engineering and technology (ABET 2.b ) An ability to conduct, analyze and interpret experiments and apply experimental results to improveOutcome 3 processes (ABET 2.c) An ability to apply creativity in the design of systems, components or processes appropriate to theOutcome 4 program objectives (ABET 2.d )Outcome 5
conducted. The most detrimental risks present are plane crash and pilot error due to their lack of mitigations. The completion of several mathematical processes and team presentations has instilled a generous amount of educational value in the team. Drawing on the full spectrum of engineering ideas acquired over the years has prepared the team for the competition and for future engineering explorations. Nomenclature b = wing span c = chord CD = Drag Coefficient CDo = Profile and Friction Drag Coefficient CL = Lift Coefficient Emax = Max Lift to Drag Ratio e = Oswald Efficiency Factor HP/W = Horsepower to Weight Ratio K
5important to motivate students before starting projects and to continuously encourage themduring projects.Two beginning graduate students were assisted with the guidance of a teaching mentor.Research topics were related to my proposed Ph.D. research. Reading, summary, and discussionof research papers as an active learning exercise motivated these students and introduced them tothe state-of-the-art. Problem-based learning continued in an active laboratory experience. Theyproduced excellent results, which were presented in two papers, one presented at the IEEESensors Conference and one published in Sensors and Actuators B.12,13 The teaching mentorprovided feedback to help improve teaching skills for all teaching activities. These experienceshelped me
AC 2009-1936: TEACHING MATERIAL AND ENERGY BALANCES TOFIRST-YEAR STUDENTS USING COOPERATIVE TEAM-BASED PROJECTSAND LABSMichael Hanyak, Bucknell University Michael E. Hanyak, Jr. is a Professor of Chemical Engineering at Bucknell University since 1974. He received his B.S. from The Pennsylvania State University, M.S. from Carnegie Mellon, and his Ph.D. in Chemical Engineering from the University of Pennsylvania in 1976. His teaching and research interests include computer-aided engineering and design, courseware development and the electronic classroom. He was one of the principal investigators with Brian Hoyt, William J. Snyder, Edward Mastascusa, and Maurice Aburdene on a five-year National
implementation of this course. Our thanks andappreciation for their effort and hard work: Mr. Lonn Rodine, Mr. Rob Lotz, Mr. RichardBoschee and Technical Sergeant Jonathon Solomon. Page 14.560.14Bibliography1. Volk, K. S., “Industrial Arts Revisited: An Examination of the Subject’s Continued Strength, Relevance and Value”, Journal of Technology Education, Vol. 8, No. 1, 1996.2. Menicucci, J., Duffy, J., Palmer, B., “Hands-on Introduction to Chemical and Biological Engineering”, Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition.3. Farrow, D., “Development of a Manufacturing
subsystems to create full vehicle7 Simulation Output and 13, 14 Virtual testing using ADAMS-Car Interpretation8 Project presentations 15,16 Table 1: Course Outline and ScheduleClass composition and Academic Expectations:This class had a unique class composition, 20% students with 20 or more years ofindustrial experience (‘Group A’), 40% students with 10 or more years of industrialexperience (‘Group B’) , 30% graduate students with less than 2 years of experience(‘Group C’) and 10% senior undergraduate students (‘Group D’) interested in pursuingcareer in automotive engineering. At the beginning of the course, instructor conducted abrief student survey with following questions.a
, Mass and Energy Balances, and Industrial Microbiology. Page 14.387.2© American Society for Engineering Education, 2009 Cross-Curricular Topic Inventory: Strategic Topic Placement for Concept Reinforcement and Enhanced Student AccountabilityAdrienne R. Minerick, Keisha B. Walters, Bill B. Elmore, Rebecca Toghiani, Priscilla Hill, Rafael Hernandez, Hossein Toghiani, Todd FrenchAbstract Every 5 to 10 years, as faculty members transition in and out of a department, it can bebeneficial for the faculty as a whole to periodically re-examine material coverage and placementin their curriculum topic by topic
Design Education International Journal of Engineering Education 24: 377–385.20. De Graaff E, Kolmos A (2003) Characteristics of Problem–Based Learning International Journal of Engineering Education 19: 657–662.21. Felder RM, Brent R (2007) Cooperative learning–Active learning: models from the analytical sciences ACS Symposium Series 970. Washington DC. Page 14.1163.1622. Oakley B, Felder RM, Brent R, Elhajj I (2004) Turning Students Groups into Effective Teams. Journal of Student Centered Learning 2: 9–34.23. Pinto J, Mantel S (1990). The causes of project failure IEEE Transactions on Engineering
content emphasizes the needto prioritize these advisor attributes and sometimes to rely on alternate sources of support.The purpose of this study was to examine participant perceptions of: a) the relevance orapplicability of the advisor-related materials to the situations they face in graduate school, b) therelative level of confidence in employing the targeted skills, and c) the usefulness of the trainingmaterials in helping them generate alternatives to the coping methods they’ve previouslyemployed. The data derived from this study are intended to provide further direction in theconstruction of and progression toward the final version of our internet-based resiliency trainingintervention for women in the STEM fields.The present study involved a
, learning, and studying histogram equalization as painless as possible.As can be seen (Figure 8), the main GUI window has a pushbutton to select the current directory(bottom left), and another to select an image file from this directory (bottom left). Upon clickingany of these two buttons, the respective popup window (not shown) appears to enable selectingthe directory and the image file from that directory. Upon selecting an image file (with a filetype supported by MATLAB), the following are immediately computed and displayed in theirrespective windows within this main GUI window: (1) (a) the original image, (b) its histogram,and (c) its cumulative histogram; and (2) (a) the histogram equalized image, (b) its histogram,and (c) its cumulative
lower than theset-point. Upon completion of this, the students were taught other control algorithm used toprovide proportional control to the feedback circuit4.III. Evaluation and ResultsWe present the data from the pre and post surveys collected for the first training session onLabVIEW basics. Figure 1 The distribution of A. students enrolled in different majors, B. academic levels of the students an C. gender distribution of students attending the LabVIEW basics training session. As expected, the majority of students attending the seminar were biomedical engineeringmajors as seen in Figure 1A. Both the usefulness of LabVIEW for data acquisition from medicalinstrumentation and the direct applicability of LabVIEW to classes within with
, and b) how can the informationobtained from student evaluation be used to improve student learning and instructional methods?Concept maps, rather than beginning with a single idea or topic begin with a “focus question”.Furthermore, concept maps promote the development of a student’s understanding by requiringthem to “link” one idea to another with a single word or phrase. Mind maps tend to encouragethe generation of ideas, while concept maps encourage the linking of concepts. Furthermore, 15concept maps are defined as tools for organizing and representing knowledge , and researchers
programs. Students will learn how to log into the UNIX systems, how to navigate their file directories, how to run a program, how to list files, and how to edit files etc. They also learn how to edit, compile and run a c/c++ program in the UNIX system. Students will have a basic understanding of OS components. B. Lab two is to teach students how to create a new process and lean how a program can replace its code with that of another executable file, and understand the lifetime of a process. By completing this lab, students should have a good understanding of concurrent programming using c/c++. C. Lab three is to do a multithreading programming project. In this lab, students will be instructed on how to create
by the Director of the Women in Engineering program;special review sessions are monitored by the faculty member involved in the mid-term/finalsessions. Throughout the review, students are encouraged to ask questions. In this environment,more women seem willing to ask questions. This is evident by their feedback (surveys) and bythe upper class session leaders and faculty observations.Weekly review sheets are prepared for the students (for sample worksheets, see Appendix A forPhysics and Appendix B for Chemistry). These review sheets highlight key formulas, concepts,and strategies to solve problems, especially in relation to concepts already covered in lecture.Although little more than a summary of lecture notes and the book, these notes seem
results reported here were influenced by the students’ exposure not only toengineering practitioners in MEE Practice I and II but also to STEM classes underlying the MEEcurriculum. Over both semesters, students’ top cited reason for selecting mechanical and energyengineering as their major was “interest” (Tables 3 and 4). When asked to indicate the top twofactors influencing them to major in mechanical and energy engineering, 25 to 35 percent of therespondents indicated A) an interest in math, science, technology, logic, and problem-solving; or B)a love for building things and “working with their hands.” Notably, “Interest” as a determiningreason for majoring in mechanical and energy engineering was cited more often at the beginning ofMEE
as uniform as possible and to provide the best pedagogicalpractices to this integration into education both within the traditional classroom and DL.One of the main focuses of this research was to generate a sound and robust reference list toestablish credibility to the research. The articles were individually evaluated and subjected to avalidity analysis composed of the following criteria (a) the credibility of the author(s) andinstitution(s) where the research was performed along with a robustness and methodology thatconforms to best practices, (b) whether the publisher of the article employs the peer review Page 14.1251.3process, (c
would be 90 for thatstudent. Four questionnaires were given to the students, one each time they handed in a report. Page 14.1065.3Each questionnaire used a scale of “1” to “5”, with “1” being “Completely Disagree” or“Definitely NO” and “5” being “Completely Agree” or “Definitely Yes”. The first threequestionnaires were strictly rating the degree of fulfillment of an activity, but the lastquestionnaire had open ended questions regarding the project and software. The firstquestionnaire and the average response values are presented in Table 1. In Assessment Questionnaire 1, questions A and B were to determine if the studentsopened
LibrariesTRAIL has been charged by the GWLA directors with identifying, digitizing, archiving andproviding persistent and unrestricted access to federal technical reports issued prior to 1976. Atimeline covering the history of the project can be found at:http://sites.google.com/a/gwla.org/trail/about-the-trail-project. In addition to digitizing thereports TRAIL intends to leave a print archive through either: a) creating complete print runs ofeach series being digitized, or b) identifying and supplementing/completing existing printcollections that will serve as print repository copies of the digitized content.Literature ReviewThe 2006 conference, Scholarship and Libraries in Transition: a Dialogue about the Impacts ofMass Digitization Projects, gave an
conjecturedthat the optical absorption of laser light might differ between the two types of acrylic, andtherefore the quality of the cut might depend on the color of the material. Table 2 below Page 14.482.6summarizes the laser cutting data. Table 2: Summary of Laser Cutting Parameters Run Material Power (%) Speed (rel) comment A BA 100 0.40 B BA 100 0.75 C CA 100 0.70 D CA 100 0.30 E BA
burner istremendous. The major benefit is a reduction in panic, stress, and work the year of your visitationif your process is well documented and utilized.ASCE Program CriteriaChanges to the Program Criteria had been a topic of discussion for several years at CivilEngineering Division sessions before the new Program Criteria were officially adopted2, 3, 4. Tofacilitate cross referencing, the new (2008-2009) ASCE Program Criteria5 are numbered below: 1. (a) can apply knowledge of mathematics through differential equations, (b) calculus- based physics, (c) chemistry, (d) and at least one additional area of science consistent with the educational objectives 2. can apply knowledge of four technical areas appropriate to civil
AC 2009-1833: EXPERIENCES OF ENGINEERING TECHNOLOGY FACULTY INPROFESSIONAL CERTIFICATION PROGRAMSJohn Denton, Purdue University John Denton is an Associate Professor in Electrical and Computer Engineering Technology in the Purdue University, College of Technology in West Lafayette, Indiana. He received his Ph.D. in Electrical Engineering from Purdue University in 1995. His areas of interest and expertise are analog electronics, RF electronics and electronic materials. He is the author or co-author of over 50 journal articles and conference proceedings.Nancy Denton, Purdue University Nancy Denton, PE, CVA III, is a professor of mechanical engineering technology at Purdue University. She is
capstone designs, has been the adoption of project-basedlearning models and student-centred, experiential teaching/learning mechanisms7. A widespectrum of project-based design instruction has been implemented, from case study to reverseengineering, to studio-based design, to full-scale projects tackling realistic (industry-customer) orsemi-realistic (faculty-customer) problems. An excellent review is provided by Sheppard andJenison8 (up to 1997) and Dym et al.7 (recently). These courses, which have been created overthe past two decades, demonstrate a great diversity in terms of implementing project-based,team-centred approaches. Nonetheless, they share two major features7: a) they are scheduled inone semester (or two quarters); and b) they tend to
is an indicator of the School’s dedication to basic research that theUniversity purchased Willow Run airfield complex, from where B-24 bombers fresh offthe production line lifted off, from the Federal government in 1946 for $1, and then soldit to Wayne County in 1977, also for $1, to become the busy cargo airport it is today.University of Michigan aerospace faculty have also become successful textbook authors,a relative rarity in aerospace engineering research universities with large undergraduateenrollments.Massachusetts Institute of Technology MIT offered the first aeronautical engineering courses in 1914. That same year,Jerome Hunsaker, along with an assistant Donald Douglas, built a wind tunnel on the newCambridge campus of MIT.ix
in the New Century, Washington, D. C., National Academies Press.[4] Benini, L and De Micheli, G., “Networks on Chips: A New SOC Paradigm,” Computer, January 2002, pp. 70-78.[5] Yeh. Eric, Chao, H., Mannem, V., Gervais, J., and Booth B., “Introduction to TCP/IP Offload Engine (TOE),” http://www.10gea.org/SP0502IntroToTOE_F.pdf[6] Spartan III Starter Board, http://www.digilent.cc/Products/Detail.cfm?NavTop=2&NavSub=519&Prod=S3BOARD.[7] Xilinx Virtex-II Pro FF1152 development kit, http://www.em.avnet.com/ctf_shared/evk/df2df2usa/VirtexIIPro_20_30_50_FF1152_2.pdf.[8] P. P. Vaidyanathan, Multirate Systems
with buttons for NEMA type A, B and D designs.Fig. 9. AC Induction Motor Rotor DesignAC Induction Motor VFD OperationThe AC Induction Motor VFD Operation tool (Fig. 10) is a three-dimensional (3-D) version ofthe torque speed characteristic curve of Fig. 9. In addition it provides a visualization of theeffects of varying frequency drives (VFD) on the operation of an induction motor. It alsoincludes a representation of the induction machine in the generation mode. Page 14.1355.9Fig. 10. AC Induction Motor VFD Operation3.4 AC Drive ConceptsAC Thyristor OperationThis visual tool in Fig. 11 provides a phase plot representation of the operation of SCRs
. In ASEE National Conference and Exposition. Chicago, IL.8. Chang, M. and J. Townsend (2008). A Blank Slate: Creating a New Senior Engineering Capstone Experience. In ASEE National Conference and Exposition. Pittsburgh, PA.9. Co, C., B. Turner, and A. Cheville (2008). A Pre-Capstone Course Designed to Improve Student Performance on Open-Ended Design Projects. In ASEE National Conference and Exposition. Pittsburgh, PA.10. Ruhala, L., R. Ruhala, and E. Sprouls (2008). A Freshman Engineering Curriculum for a Bachelor of Science in Engineering Program. In ASEE National Conference and Exposition. Pittsburgh, PA.11. Biney, P. (2007). Assessing ABET Outcomes Using Capstone Design Courses. In ASEE National
. Each test focused on threedomains of knowledge: 1) knowledge of specific science and mathematics content; 2) knowledgeof the engineering design process; and 3) knowledge of the work of different types of engineers.Science and mathematics concepts and related content were determined by the teachers; in Page 14.1057.5grades 3 and 4, this was simple machines and in grade 5, water. An example of a contentquestion included the following: A simple machine: A) makes energy; B)uses energy to completea task; C)does not involve energy; D)does not need energy to do work. An example of a designquestion was: Mary and Tom are working on the design of a soccer
-420.11. Gillespie, F. (1998). Instructional design for the new technologies. New Directions For Teaching And Learning76, 30-52.12. Kruse, K. (2004). Introduction to instructional design and the ADDIE model. Retrieved March 24, 2007, fromhttp://www.e-learningguru.com/articles/art2_1.htm13. Alessi, S. M., & Trollip, S. R. (2001). Multimedia for learning: Methods and development (3rd ed.). Boston,MA: Allyn and Bacon.14. Fosnot, C. T., & Perry, R. S. (2005). Constructivism: A psychological theory of learning. In C. T. Fosnot (Ed.),Constructivism: Theory, perspectives, and practice. New York, NY: Teachers College, Columbia University.15. Adams, N. B. (2007). Toward a model for knowledge development in virtual environments: Strategies
or waste because itmay not be possible to completely eliminate variability. With reduced variability the cost ofdealing with scrap, rework, and other losses created by defectives which is an enormous drain onany company will be greatly reduced.Bibliography1. Box, G. E. and Luceno, A., 1997, “Statistical Control by Monitoring and Feedback Adjustment”, John Wileyand Sons Inc, New York.2. Bjorn Andersen and Loland H. (1997) “ A Study on the use and effects of Quality Improvement tools, M.scThesis in Production and Quality Engineering3. Duffuaa, S. and Daya, B., 1995, “Improving Maintenance Quality using Statistical Process Control”, Journal ofQuality in Maintenance Engineering, Vol. 1, pp. 25-33.4. Juran, J.M (1997) “Early Statistical Quality