., New York. pp. 109-121.4. Brohn, D. M. 1996. “Engineering on the right,” Structural Engineer 74(22). Institute of Structural Engineers, London. pp. 380-382.5. Krawinkler, H., P. Francisco, L. Ibarra, A. Ayoub, and R. Medina. 2001. “Development of a testing protocol for woodframe structures,” CUREE publication W-02. Consortium of Universities for Research in Earthquake Engineering, Richmond, CA.6. Ferguson, E. S. 1993. “How Engineers Lose Touch,” Invention and Technology winter 1993. pp. 16-21.7. Parmelee, R. A. 1998. “Have we let computers replace structural engineering judgment?” Structure winter 1998. National Council of Structural Engineers Associations, Council of American Structural Engineers, and Structural Engineering
lectures and field trips and we would like to continue theseactivities. We are planning new methods to help students better prepare for these eventsso they can get more out of the experience. For example, we may plan a short on-linedemonstration, or experiment students can perform prior to going to the lab. This maybetter prepare them to ask questions and notice key features of the lab setup that relate toour learning objectives.AcknowledgementsThis work was supported primarily by the Engineering Research Center Program of theNational Science Foundation under Award Number EEC9876363.The authors also greatly appreciate the efforts of their students.Bibliography[1] Harris, T. R., Bransford, J. D., and Brophy, S. P. (2002). Roles for learning
Ex. Webcam, chatroom. Online virtual conference … Telementoring for students Figure 5. Conceptual diagram of future TAMU state-of-the-art wave tankBibliography1. Murgio, M.P., Communications Graphics. Van Nostrand Reinhold, New York, 1969.2. Johnson-Laird, P. N., Legrenzi, P., and Legrenzi, M. S., “Reasoning and a Sense of Reality.” The British Journal of Psychology, Vol. 63(3), University Press, Cambridge, 1972, pp.395-400.3. Pressley, M., “Imagery and Children’s Learning: Putting the Picture in Developmental Perspective.” Review of Educational Research
include the instructor(s) that mostoften teaches the course and other faculty interested in the course content. Each committee has acoordinator that is knowledgeable in the subject area, but not the instructor who typically teachesthe course. The coordinator is responsible for (1) scheduling a committee meeting during thefirst week of classes following the semester in which the course is taught, (2) making sure thatcourse materials are available for the committee when it meets, (3) keeping the committeediscussions on task, and (4) submitting the annual course report.The purpose and philosophy of the course committees is to stimulate discussion among facultymembers and to assess course materials, thereby, leading to documented improvement of
the solver is tested again and the results did notmatch desired results, the problem is more easily determined and limited to the pertinent IOand DTM parts. One common user mistake is inconsistency of angle formats (deg or radians).This coding scheme makes the solvers robust and independent, which helps in building atoolbox for 4R linkage design with minor additional effort.Operating SoftLinkTo start the software simply type ‘SoftLink’ at the MATLAB prompt. Figure 3 shows thedefault design that is loaded initially. Currently there are three user interface menus inSoftLink: File, Solver and Quit. There are also shortcut keys - S to simulate mechanism, D toinput a new design, and H for Help. More will be added in future versions.The File menu
Paper for Abstract 1297; Currently listed for Session 3542initiate collaborative learning, distance learning, and knowledge management activities withinyour curriculum.Select BibliographyBrown, John Seely, Collins, Allan, and Duguid, Paul. “Situated Cognition and the Culture of Learning.”Educational Researcher. Volume 18 ( 1989) pp. 32-42.Bruner, Jerome S. The Process of Education. New York: Vintage Books, 1960.Bush, Vannevar. "As We May Think." Atlantic Monthly. (July, 1945), pp. 101–08.Dillon, Patrick M. and Leonard, David C. Multimedia and the Web from A to Z. 2nd Edition. Phoenix, Arizona:Oryx Press, 1998.Jonassen, David H. Computers as Mindtools for Schools: Engaging Critical Thinking, 2nd edition, New York:Prentice-Hall, 1990.Knowles
enabled the BSTCETprogram to achieve an excellent start. Also, the work of the numerous special project studentsdeveloping laboratory materials is gratefully acknowledged. Page 6.20.8References1. McGraw, D., “Getting Down to E-Business,” ASEE Prism, vol. 10, no. 2, October 2000, pp. 20-24.2. URL: http://www.yamacraw.org3. URL: http://www.icapp.org4. Jahanian, S. and J. Mathews, “Multidisciplinary Project: A Tool for Learning the Subject,” Journal of Engineering Education, vol. 88, no. 2, April 1999, pp. 153-158.5. Lang, J., S. Cruse, F. McVey, and J. McMasters, “ Industry Expectations of New Engineers: A Survey to Assist
ways of looking at things” “The experiments include variety of physics. I feel that I have learned ways of how to conduct experiments; read data, analyze and interpret, using tools of modern technology.” Figure 9: A sample of student comments C alcu lu s P h y s ics A s sess m e n t 100 Percentage of C orrect
Comparative Student Evaluations 100.00 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 r r r y H i t H i r r r s Ã8 v r Ã8 r y r r h p r y
- hardware and software - having also the notionsof economy, management and law. S/He is prepared to specify, to conceive, to develop, toimplement, to adapt, to produce, industrialize, to install and maintain computer systems, as wellas to complete the integration of physical and logical resources necessary to take care of theinformation, computer and automation necessities and general organizations 7.S/He is a professional with training in new communications methodologies by means ofElectronic (radio, Television, microwave, telephony, etc).In terms of work market, our engineers have a larger knowledge in telecommunications so thats/he can be a candidate in telecommunications equipment industry, entertainment industry andalso in the concessionaire
chitosan inacidic and basic medium was taken advantage of in the physical-chemical method. At pH 4, azodye reacted with chitosan and on increasing the pH to 8, chitosan was precipitated removing thedye from solution. In the biochemical method, at pH 4, laccase degraded the dye. The MichealisMenten constant (Km) and the maximum velocity (Vm) for this reaction at room temperaturewere 8.5 X 10-2g/L and 150 g/L.min respectively.I. Introduction National concern have been expressed about the status of the U. S. science andengineering base-specifically the human talent, knowledge and infrastructure that generateinnovations and undergird technological advances to achieve national objectives. Analyses haveshown that there may be a significant
life.Next, the initial and temperature variations of Vref and Iadj for LT1086 are obtained from thedatasheet 7. The aging data for these parameters are assumed to be 1%. Finally, the variation ofthese parameters due to total dose radiation is computed based on available data 9. The detailsare shown in Table 1 using the data for Device ID 1086 02 9. Table 1 LT1086 Radiation data for Vref and Iadj (Dose rate: 50 Rads/s) Vref (Vdiff = 3 V; Iload = 500 mA) Iadj (Vdiff = 3 V, Iload = 10 mA)Device # Initial (V) Delta (mV) Device # Initial (uA) Delta (uA) at 40 kRads
Master’s degree program in Applied Optics. The vision was to aid Indiana industryby supplying expertise in the enabling technology of optics while at the same timeproviding M. S. students in Applied Optics with industry-based problems as thesis topics.By the 1990s, several other departments shifted the format of senior capstone designprojects to include external sponsors. The earliest adopters included Civil Engineering,Mechanical Engineering, and Computer Science. In 1993 Rose-Hulman created, withsupport from the Indiana Business Modernization and Technology Cooperation, theTechnical Assistance and Services Center (TASC) as a vehicle through which additionalindustry-related projects could be made available to Rose-Hulman faculty and students.At
Session 2238 Engineering Graphics Instruction Outside of the Lab: How prepared are our students? Eric N. Wiebe, Aaron C. Clark NC State UniversityAbstract The 1990’s have seen a rapid expansion of the use of networked computers on college and university campuses. By the Fall of 1995, half of all college students and faculty had recurring instructional experience with information technology while more than half of all college students and three-fourths of faculty had access to the Internet and WWW. This infusion of computer
scratches the surface of this problem. A detailed analysis of river and basinhydrology is necessary to develop a more accurate and realistic model. In addition, simulationsoftware specifically designed to model fluid flow would prove a much more useful tool. Withthat said, the model developed for this project does provide a basic look at the effects a rainstormhas on a river, allowing us to draw some initial assumptions and recommendations regarding theflood FPS.7. References[1] O. J. H. Bosch, W. J. Alien, and R. S. Gibson, Monitoring as an Integral Part of Management and Policy Making, Manaaki Whenua- Landcare Research, 1997. (URL: www.landcare.cri.nz).[2] H. M. Freeman, Hazardous Waste, Encyclopedia of Americana, 1996.[3] J
. Located in Angola, Indiana, TSU isapproximately 45 miles northeast of Ft. Wayne and 60 miles west of Toledo, Ohio. From itsstart in the late 1800's as a normal school, TSU has grown into a regional educational leader forthe 21st century specializing in engineering, business, and education. Of the more than 1200students on campus, roughly one-half are enrolled in the School of Engineering and Science(SOES).Begun in 1909, the Chemical Engineering (ChE) Department at TSU has remained a smallundergraduate program with a focus on career-oriented higher education. Departmentalenrollment currently stands at very nearly 60 students, having dipped as low as 37 in the late1980s. With as few as 20-25 students entering the program each year, retention is a
semester of the sophomore year. Because of the relative size of the Mechanical andIndustrial Engineering programs, the vast majority of the students are Mechanical Engineeringmajors. The first circuit theory course is a pre-requisite to CPE240. Historically, the course was initiated in the early 80’s in response to the increased use ofPC’s to take measurements on non-electrical systems. There was extensive laboratorycurriculum development at that time, mostly in the area of digital circuits and A/D and D/Aconversion. Typical transducers were covered in the lecture portion of the course, but the labswere primarily devoted to digital and analog circuit analysis and testing. During much of the90’s the course was taught by adjuncts and there
resources with teamresources and demonstrate the potential benefits that teamwork can provide. The studentsalso read the chapter about teamwork in their textbook,5 which I supplement withmaterial from a book called Write Source 2000: A Guide to Writing, Thinking, &Learning,6 from which the phrase “Groping . . . Griping . . . Grasping . . . Grouping”7comes. (The phrase means that groping to find purpose and place in the group is normal,that griping and conflict are normal and proof that people are engaged in the process.)Yet another topic of discussion is critical thinking. Critical thinking is one of the currentacademic buzzwords, but as Phillip C. Wankat and Frank S. Oreovicz point out in theirbook Teaching Engineering,8 there is value in
communications course cited here is offered only onesemester each year and has a yearly enrollment of eight to twelve students. A class of this sizetracked over the four-year period that the capstone project has been employed does not yieldstatistically significant data.1 Knowles, M. S. “The Modern Practice of Adult Education” Chicago, IL. Associated Press, Follett PublishingCompany, 1980.2 Brookfiel, S. “Understanding and Facilitating Adult Learning”, San Francisco, CA. Jossey-Bass, 1986.3 Galbraith, M. W. “Essential Skills for the Facilitator of Adult Learning” Lifelong Learning: An Omnibus ofPractice and Research, Volume 12, Number 6, 1989.4 Zemke, R. “In Search of Self-Directed Learners” Training, May 1998, pp. 60-68.5 Knowles, M. S. “Andragogy
needs of the clients andproject specifications, and they visited the school to gain an overall impression of how theirdesign will be used. The engineering students then generated solution ideas, analyzed andevaluated the ideas to select the optimal one(s) for implementation.Finally the engineering students delivered their design to the teacher clients and demonstrated itsuse. To complete the design assignment, students submitted written reports and made oralpresentations. First-year engineering students learn the engineering design process via a casestudy during the first three weeks of the academic quarter. The instructor then guides them asthey complete their service-learning design projects.The course objectives and the methods of assessment
activity• Arrangement of the time(s) and date(s) of activity/presentation(s) with the contact person identified.• Reflection on the activity and its learning outcomes by way of a written report which must also include a survey based on the questionnaire prepared, as well as a letter from the contact person to the instructor based on the activity performed.III. Highlights of some of the Important ActivitiesEngineering students have given seminars to high school students that aided in the improvementof their knowledge in computer programming, web page development, and computerarchitecture. Some of the students have performed educational activities in their own families.Participation and involvement of family members have elevated the students
modules, however, it is unlikely that they will reach their full potential. Theauthors plan to seek additional support from NSF’s Division of Undergraduate Education, andare interested in discussing the potential for collaboration with educators at other institutions.The Structural Engineering Workshop could become a means for students at several institutionsto obtain a mix of real and virtual lab experiences illustrating in a wide range of structuralbehaviors and concepts.Bibliography1. Ferguson, E. S. 1993. “How Engineers Lose Touch,” Invention and Technology winter 1993. pp. 16-21.2. Petroski, H. 1985. To Engineer is Human: The Role of Failure in Successful Design. St. Martin’s Press, New York.3. Backman, L. 1993. “Computer-aided liability
(Summer 1999) fortheir contributions. The authors also thank M. Cantor, R. Eskew, D. Flynn, M. Hill, J.Kane, S. Nathanson, J. Sheldon, T. Starr, J. Stellar, and S. Wadia-Fascetti for helpfuldiscussion, C. Pantalone for encouragement, and S. Reucroft for permission to conductthis study in Introduction to Science (PHY 1121).Bibliography1. In this paper, students preparing to be informed citizens working in disciplines other than science aretermed “lay scientists” and their respective disciplines, “lay sciences,” which is consistent with acompetency model of science literacy. Ellis, D.W. & Ellis, M.S. Science and technology: a liberal artscollege perspective. In S.K Majumdar et al., (Eds.), Science Education in the United States: Issues
fabricated MCFC matrices from the semi-conductive to the conductiverange.IntroductionIn a previous paper(1) presented at the 1999 ASEE Conference in Charlotte, NC, the concept anduse of the term (project) paper was espoused. The term paper embodies such concepts as choiceof topic relevant to course content, literature search for development of knowledge base,experimentation for acquisition and analyses of data, report writing for development andimprovement of communication skills, and report presentation for effective communicationskills. The ultimate goal is to inculcate in the student the need for creativity and critical thinkingskills. In this effort, the early 1990’s students of the thermodynamics and heat transfer coursesat Pittsburg State
called LASTTEST.The testers’ average utilization was 94.4% ( i.e. TESTERS were busy 94.4% of the time correcting theinitial student works). The average time taken by each student with the TESTERS was 7.838 minutes.TESTERS were visited by 37 students. Twenty five students were processed but twelve of them had torepeat the assignment after being seen by the testers. The adjuster/ teacher utilization was 71.3%. Theaverage time taken by each student when s/he was visiting with the adjuster/teacher facility was 9.965minutes. The adjuster /teacher facility was visited by 11 students. There are two queues formed. Onewas a queue for testers called LASTTEST and the other was for adjuster called ADJUSTQ. The runstatistics for LASTTEST were: maximum queue
. SREB.3. Davies, R. and Green, F. Reading for Learning in the Sciences. Edinburg: Oliver and Boyd, 1984.4. Solomon, G., Duveen, J., Scott, L. and McCarthy, S. Teaching about the nature of science through history: Action research in the classroom. Journal of Research in Science Teaching, 29, 409-421, 1992.5. Duveen, J. The great evolution trial. The Journal of Research in Science Teaching, 31, No. 5, 575-82, May 1994.6. Cherif, A. Verma, S. and Somervill, C. From the Los Angeles zoo to the classroom. The American Biology Teacher, 60, no 8, 613-17, October, 1998.7. Bybee, R. and Sund. R. Piaget for Educators, Columbus, Ohio: Merrill, 1982.8. Ausubel, D. Viewpoints from related disciplines: Human growth and development. Teachers
there is a match,the results are stored in a temporary data file. When all of the combinations have beenprocessed, the system then attempts to find the most likely candidate for the error.In the first round of error checking, the system is only trying to find the terms that mustbe in error - not necessarily explain the error(s) to the student. Thus, the system scans thetemporary file for the shortest error. This is the most likely candidate for the error. Thereasoning behind this is that if a student has entered an incorrect solution, then the entireexpression is obviously incorrect, but knowing that is trivially useless. The goal it to findthe smallest set of errors that produce the same result as the student’s mathematicalexpression.An
student's entry, as well as the correct entry provided by theproblem designer. Both expressions are evaluated numerically. When there is a match,the results are stored in a temporary data file. When all of the combinations have beenprocessed, the system then attempts to find the most likely candidate for the error.In the first round of error checking, the system is only trying to find the terms that mustbe in error - not necessarily explain the error(s) to the student. Thus, the system scans thetemporary file for the shortest error. This is the most likely candidate for the error. Thereasoning behind this is that if a student has entered an incorrect solution, then the entireexpression is obviously incorrect, but knowing that is trivially useless
andsuggestions for future work.2. BackgroundAlgorithm animation and software visualization have been used in teaching softwarealgorithms for a number of years. In the mid-1980’s Brown and Sedgewick developedthe BALSA system4 as a framework for software algorithm animation and used thisframework in courses at Brown University. More recently, many other systems havebeen developed that extend and improve upon this work; a good overview is provided in5.BALSA and similar systems animate software algorithms by presenting views - graphicalrenderings of data structures and execution history. As an animation proceeds, theposition, shape, and color of objects in the view are changed to illustrate data structurechanges, plot historical information about execution
Session 3563 The Engineering Economics Case Study at Greenfield Coalition Francis E. Plonka, Diane M. Schuch-Miller, Syed Khusro Azmat, Pratap S. Murthy, Snehamay Khasnabis, R. Darin Ellis Wayne State University/Greenfield Coalition/Wayne State University/ Wayne State University/Wayne State University/Wayne State UniversityAbstract -The Greenfield Coalition (GC) located at the Focus:HOPE Center for AdvancedTechnologies (CAT) and funded by the National Science Foundation (NSF) offers aManufacturing Engineering Program that integrates academic work with manufacturing skillslearned in the workplace