Results Number of Scripts Running Mean Time to Standard Concurrently Complete Scripts (s) Deviation 1 116.95 4.45 2 119.34 16.51 3 119.06 14.66 4 132.74 37.51 5 128.04 26.18 6 124.73 24.52 7 130.43 27.78 8 128.55 23.72 9 126.70 19.22 10 130.75
developers of pre-college curricula face?Challenge #1: Developing sustainable practices. An innovative educational initiative isrelatively straightforward to offer once or twice in a few classrooms where the extent ofthe impact is limited, with significant involvement of the initiative’s creator(s) anddeveloper(s) invested. To have truly lasting impact, however, one needs to developeducational initiatives that can be transferred from expert to novice, that have appropriatedocumentation procedures in place, and are economically viable for all partnersinvolved.Challenge #2: Placing a curriculum in an environment that is over-prescribed in termsof content and resources. Adding new educational content to a pre-college curriculuminevitably means that
A should review the reqs and the product knowledge to put consider follow-up questions. together a useful questionnaire. 7. Subgroup A re-interviews subgroup B to ask • Perform Research (Y): We all follow-up questions. researched OWL-S and WSDL 8. Subgroup A should review the requirements specifications in order to better understand Stakeholder for validity. requests
surface data encompassed a roughly0.5m×3.5m swath. Three different wave frequencies were tested with wave periods of T = {1.1,1.2, 1.3}s and a sequence of images was taken for each wave period. Figure 6 shows a MATLABinterpolation of the Cartesian data from the T=1.1s experimental run. As mentioned earlier,texturizing the water surface with sufficient mist or spray is essential to getting good results.Figure 7 shows the Periodogram of the averaged data from Figure 6. The peak corresponds to apredominant frequency wavelength of 1.71m for this run. The average wavelength for the entiresequence of images was 1.93m; this shows excellent agreement with the wave gauge wavelengthof 1.90m.In another experiment, a series of stereo images were taken along
to enhance the placement examination througha smart online version that provides tailored tutorial material.1References 1. Tushar Chandra, Gitanjali Gunnam, and Joseph E. Urban, “Smart Online Placement Examination,” Proceedings of the IASTED International Conference on Web Technologies, Applications, and Services (WTAS 2004), July 4-6, 2005, Calgary, Alberta, Canada, pp. 204-208. 2. James S. Collofello, Joseph E. Urban, Mary R. Anderson-Rowland, Faye Navabi, and Doris Roman, “COOL (Computer Outreach Opportunities for Learning) Project,” Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, Nashville, Tennessee, June 22-25, 2003. 3
system. In further work, the system willbe expanded to monitor temperature and relative humidity.Bibliography 1. Camann, D.E., Harding, H. J., Geno, P. W., and Lewis, R. G. Relationship Among Drag Sled, PUF Roller and Hand Press Transfer of Pesticide Residues From Floors. in Proceedings of the US EPA and ADWMA International Conference. 1994. Durham, N C. 2. Ross, J., Fong, H. R., Thongsinthusak, T., Margetich, S., and Krieger, R., Measuring Potential Dermal transfer of Surface Pesticides Residue Generated from Indoor Fogger Using the CDFA Roller Method. Chemosphere, 1991. 22(9-10): p. 975-984. 3. Vaccaro, J.R., and Nolan, R. J. Evaluation of Dislodgeable
effects of data traffic congestion on VoIP Quality of Service (QoS) and protocol efficiencyThe students were also expected to demonstrate their expertise in project management bydeveloping a project management plan with GANTT charts for the capstone project. Althoughstudents were allowed to develop their own sub teams to accomplish various tasks, they receivedinstruction about the overall team structure from the instructor with the following guidelines: i)students were to elect a project director, ii) sub teams were organized and assigned specifictask(s) by the director, iii) sub teams reported periodically to the director about the progress ofvarious sub goals set by the team towards the completion of assigned tasks, iv) the
AC 2007-263: INDIVIDUAL PROJECT-BASED APPROACH TO DEVELOPRESEARCH APTITUDE IN MANUFACTURING ENGINEERING STUDENTSJitendra Tate, Texas State University-San Marcos Dr. Jitendra S. Tate is an Assistant Professor in the Department of Engineering and Technology at Texas State University-San Marcos. He teaches courses in Materials Engineering, Plastics and Composites Manufacturing, Engineering Design Graphics, and Computer Aided Engineering. His research interests include low cost manufacturing of composites, mechanical characterization of composites under static and dynamic loading, fatigue life prediction modeling, finite element analysis, CADD, and statistical analysis. He is a member of several
&D expenses and time, a reduction in toolingand associated costs, a reduction in the number of possible mistakes on the shop floor, as well asan overall reduction in the component cost due to volume purchasing.The compressor component was then quickly identified as a possible candidate for part countreduction. It was chosen due to its overall complexity, time necessary for assembly and service,expensive materials, and overall number of parts. A modular compressor concept was introducedand a preliminary design [on a conceptual level] was conducted to show the possible benefits ofsuch a concept.Background and Literature Survey for the Modular Compressor projectThe original gas turbine modular concept2 was first developed in the early 1960’s
course? (3) What are the characteristics of effective distant students and teachers? (4) How important is teacher-student and student-student interaction in the distance education process, and in what form(s) can this interaction most effectively take place? (5) How do we develop a GIS distance learning environment, e.g., web-GIS, to enhance the effectiveness? (6) How do we develop an empirical distance education module for different target groups and different purposes?The most frequent complaints from the students are web-based laboratory when the studentsused a modem-based home computer due to the too slow Internet transportation speed for largeimages. After 2004, we
(2), pp. 24-33, 1986. 3. Bertoline, G.R., “The implications of cognitive neuroscience research on spatial abilities and graphics instruction”, Proceedings ICEGDG, 1, Vienna, pp. 28-34, 1988. 4. Sorby, S. A., Baartmans, B. J., “The development and assessment of a course for enhancing the 3-D spatial visualization skills of first year engineering students”, J. of Engineering Education, July 2000, pp. 301-307. 5. Miller, C.L., “Enhancing spatial visualization abilities through the use of real and computer-generated models”, Proceedings, 1990, ASEE Annual Conference, ASEE, 1990, pp. 131-134. 6. Pleck, M.H., “Visual literacy – An important aspect of engineering design”, Proceedings, 1991, ASEE Annual Conference
-7, 2006, Palisades, NY. IBM Almaden Services Research, http://www.almaden.ibm.com/asr/summit/index.shtml, accessed 10/10/2006. 8. Clark, A. C., & Scales, A. Y., "Quality Characteristics of a Graduate Teacher Education Program in Graphic Communications: Preliminary Results from a Delphi Research Study," Proceedings of the 54th Annual Engineering Design Graphics Midyear Meeting, Biloxi, MS, November 1999, pp. 45-58. 9. Paige, W. D., Dugger, J. C., & Wolansky, W. D., "Essential components of doctoral programs in industrial technology education," Journal of Technological Studies, Vol. 22, No. 2, 1996, pp. 15-20. 10. Volk, K. S., "Curriculum development uses the Delphi technique," The
particular relevance to the National Collaborative Task Force onEngineering Graduate Education Reform is the relationship between innovativeness andcollaborative knowledge sharing, which has been shown to be augmented by the use of cohortgroups.The Task Force mission to reshape engineering education to improve the competitiveness of U.S.industry through technological innovation, will be positively impacted by the use of cohort-basededucational models. At Purdue and RIT, the impact of cohort-based education has beenuniversally positive, with significant benefits to all stakeholders: students, alumni, sponsors,faculty, and administration.Bibliography1. Imel, S., “Adult Learning in Cohort Groups,” Educational Resources Information Center, Practice
School. Eds: Bransford, J.D., Brown, A.L., Cocking, R.R..National Academy Press (Washington; 1999).3. Greenberg, J. E., Smith, N. T., and Newman, J. H. (2003) Instructional module in Fourier spectral analysis, basedon principles of ‘how people learn’. Journal of Engineering Education, 92, 155-1654. Pandy, M. G., Petrosino, A.J., Austin, B. A., and Barr, R. E. (2004) Assessing adaptive expertise in undergraduatebiomechanics. Journal of Engineering Education, 93(3), 1-125. Gunter H.E., Bonventre, J.V., D’Avila M.A., Sadeghpour S., Vijaykumar R. (2003), “Education Innovation inPhysiology” Proceedings of the American Society for Engineering Education Annual Conference. Nashville, TN,June 22-25, 2003.6. Henrickson S.E., Gunter H.E., D’Avila M.A
, P., Frozen Gears, Gear Technology (1993), pp. 26-29.[8] Molinari, A., Pellizzari, M., Gialanella, S., Straffelini, G., and Stiansny, K.H., Effect of deep cryogenic treatment on the mechanical properties of tool steels, Journal of Material Processing 118 (2001), pp. 350-355.[9] Mohan Lal, D., Renganarayanan, S., and Kalanidhi, A., Cryogenic treatment to augment wear resistance of tools and die steels, Cryogenics 41 (2001), pp. 149-155.[10] Hallum, D.L., Cryogenic tempering delivers better cutting tool durability, American Machinist (1996), pp. 140-142.[11] Preciado, M., Bravo, P.M., and Alegre, J.M., Effect of low temperature tempering prior cryogenic treatment oncarburized steels, journal of Materials Processing Technology 176
: ‚ Design of Thermal Systems by W. F. Stoecker1 ‚ Analysis and Design of Energy Systems by B. K. Hodge and R. P. Taylor2 ‚ Design of Fluid Thermal Systems by W. S. Janna3 ‚ Elements of Thermal-Fluid System Design by L. C. Burmeister4 ‚ Design and Optimization of Thermal Systems by Y. Jaluria5 ‚ Design Analysis of Thermal Systems by R. F. Boehm6 ‚ Design and Simulation of Thermal Systems by N. V. Suryanarayana, O. Arici and N. Suryanarayana7 ‚ Thermal Design and Optimization by A. Bejan, G. Tsatsaronis, and M. Moran8 The main criteria for choosing the textbook are topical contents, problem sets, workedexamples, and design projects. Comparing these textbooks is difficult as many core topics aresimilar but each
Chair Signature Date Chair/Faculty Member Date Page 12.38.9 APPENDIX B PEER REVIEW COMMITTEES Suggested Guidelines for ReviewThe purpose of peer review within the College of Applied Science and Technology is toprovide to the entities charged with evaluating a candidate for promotion or tenure anindependent judgment of, at a minimum, the aspects dealing with a candidate=s teachinginvolving instructional design skills and content expertise. It is required by the candidateto provide the committee the
- Page 12.1268.11 Friendly Intervention for improving Upper-Extremity Function. Archives of Phys. Med. Rehabil. 2005, Vol. 86 (4): 837-844.5. Ann-Christin Eliasson, Lena Sundholm, Karin Shaw, and Chen Wang. Effects of Constraint Induced movement therapy in young children with hemiplegic cerebral palsy: an adapted model. Med and Child Neurology. 2005, 47 (4): 266-275.6. S. C. DeLuca, K. Echols, and S. L. Ramey, and E. Taub. Pediatric Constraint-Induced movement therapy for a young child with cerebral palsy: two episodes of care. Physical Therapy. 2003, 83(11):1003-1013.7. Amy Bodkin, Ronda Baxter, and Carolyn Heriza. Treadmill Training for an Infant Born Preterm With a Grade III Intraventricular
first,” should always apply. Fig. 4 Team Leader John Winker with the 2005 MTSU Mini Baja.Elements of an Effective Safety and Health Program. OSHA Voluntary Safety and Health Program ManagementGuidelines, 1989. Foroudastan, S. & Anderton M., “Implementing a National Competition Design Project as a Capstone Course atMTSU" 2006 Proceeding of ASEE-SE conference.Foroudastan, S. & Anderton M., “Undergraduate Research and Creative Activity at Middle Tennessee StateUniversity” ASEE Conference, 2006.NIOSH Safety Checklist Program for Schools. Chapter 2: How to Establish an Effective Occupational Safety andHealth and Environmental Safety Program. October 2003. < http://www.cdc.gov/niosh/docs/2004-101/chap2.html>
-087.html4. Z. Dodds, L. Greenwald, A. Howard, S. Tejada, J. Weinberg, "Components, Curriculum, and Community: Robots and Robotics in Undergraduate AI Education," AI Magazine, Vol. 27, pp. 11-22, Spring 2006.5. D. Kumar and L. Meeden, “Robots in the Undergraduate Curriculum,” Proceedings of the Third Annual Consortium for Computing in Small Colleges Northeastern Conference, Journal of Computing in Small Colleges, John G. Meinke (editor), Volume 13(5), 1998.6. R. Murphy, “Using Robot Competitions to Promote Intellectual Development,” AI Magazine, 21(1), pgs. 77-90, 2000.7. J. Roth and B.H. Sheppard, “Opening the black box of framing research: The relationship between frames, communication, and outcomes,” Academy of
assessment of computer science education in a chemical engineering curriculum,” Proceedings of the 2004 ASEE Annual Conference & Exposition.10. Collura, M.A., Aliane, B. and Daniels, S. and Nocito-Gobel J., 2004, “Learning the methods of engineering analysis using case studies, Excel and VBA - course design,” Proceedings of the 2004 ASEE Annual Conference and Exposition.11. Rosca, R., 2006, “Learning Matlab – just-in-time or freshman year?” Proceedings of the 2006 ASEE Annual Conference & Exposition.12. Hodge, B.K. and Steele, W.G., 2001, “Computational paradigms in undergraduate mechanical engineering education,” Proceedings of the 2001 ASEE Annual Conference & Exposition.13. Said, H., Khna, F. 2004, “Towards using
Page 23.547.8 http://www.engineering.com/Library/ArticlesPage/tabid/85/articleType/CategoryView/categoryId/7/Ethics- Case-Studies.aspx7. Bell, M. W. (2008). “Virtual Worlds Research: Past, Present & Future” July 20088. Bainbridge, W. S. (2007). The scientific research potential of virtual worlds. Science, 317(5837), 472-4769. Hew, K. F., & Cheung, W. S. (2010). Use of three‐dimensional (3‐D) immersive virtual worlds in K‐12 and higher education settings: A review of the research. British Journal of Educational Technology, 41(1), 33-5510. Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & Education, 56(3), 769
Factors Affecting Student Satisfaction”, Journal Of Education For Business, Vol. 85, No. 2, pp. 95 – 100, 2009.4. Koenig, R., “A Study in Analyzing Effectiveness of Undergraduate Course Delivery: Classroom, Online And Video Conference From A Student and Faculty Perspective”, Contemporary Issues in Education Research, Vol. 3, No. 10, pp. 13–25, October 2010.5. Kim, K. S., and Moore, J. L., “Web-based learning: Factors affecting students’ satisfaction and learning experience”, 2005, Retrieved December 30, 2010, from http://www.firstmonday.org/issues/issue10_11/kim/index.html6. Young, A. and Norgard, C., “Assessing the quality of online courses from the students' perspective”, The Internet and Higher Education, Vol. 9
the coaching sessions. The differences noted before and after coaching sessions areinterpreted with reference to the episodes analysis.AcknowledgementsThe authors are grateful for support provided by the National Science Foundation grant EEC-1160353. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Koretsky, M.D., D. Amatore, C. Barnes and S. Kimura. (2008). Enhancement of student learning in experimental design using a virtual laboratory, IEEE Transactions on Education, 51(1), 76-85.2. Koretsky, M.D., Kelly, C. & Gummer, E. (2011). Student Perceptions of Learning in the Laboratory
Paper ID #6988First Steps in Strengthening the Connections Between Mathematics and En-gineeringDr. Kathleen A Harper, The Ohio State University Kathleen A. Harper is a faculty lecturer in the Engineering Education Innovation Center at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of engineering. Her
. Version R2012a2. Chiang, K.H., Evans, B.L., Huang, W.T., Kova, F., Lee, E. A. Messerschmitt, D.G, Reekie, h.J., and Sastry, S. S.,Real-Time DSP For Sophomores Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. ConferenceProceedings, 1996 IEEE International Conference, May, 1996.3. Hoffbeck, J.P. "Enhance Your DSP Course With These Interesting Projects" ASEE Annual Conventionpresentation, 2012, San Antonio, Texas.4. Black, B.A., "Implementing DSP First at Rose-Hulman", Proceedings of IEEE SPE, 2000 - spib.ece.rice.eduMcClellan, J.H., Schafer, R. W., Yoder, M.A., "Experiences in teaching DSP first in the ECE curriculum",Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference, April, 19975. Maher
, global, environmental and economic context that frame the GrandChallenge. The assignments are designed to motivate students to engage in higher-level thinking.Vignettes, i.e. short videos, describing each challenge and emphasizing the important role thatengineers play in solving these challenges, were recorded. In addition, detailed writtendescriptions of the Units were developed. Students use the vignettes and reference materials todecide which Elective Unit(s) they wish to study. They then have the opportunity to devote fourweeks of the semester, roughly one Carnegie unit of effort, to the exploration of the topic bymaking use of the cyberinfrastructure.The goals of the project are to increase the commitment of engineering students to the
architecture,” Proc. IEEE Workshop Computer Architecture Pattern Anal. Machine Intel., pp. 115-121, Oct.1987.4. R. O. Duda and P. E. Hart, “Use of the Hough transformation to detect lines and curves in pictures,” CACM, 15, (1),pp. 11-15, 1972.5. A. L. Fisher and P. T. Highnam, “Computing the Hough Transforms on a Scan Line Array Processor,” IEEE Trans.on PAMI, vol. 11, no. 3, pp.262-265, March 1989.6. H. A. H. Ibrahim, J. R. Kender, and D. E. Shaw, “The Analysis and Performance of Two Middle-level Vision Taskson a Fine-grained SIMD Tree Machine,” Proceedings IEEE Conf. Comput. Vis. Pattern Recog. pp. 248-256, June 1985.7. P. V. C. Hough, “A method and means for recognizing complex patterns,”U.S. Patent 3,069,654, 1962.8. C. S. Kannan and H. Y. H
Gratifications in the College Residence." Internet and higher Education, Vol. 6, pp. 125-44.6. Jones, S.(2002) "The Internet Goes to College: How Students Are Living in the Future with Today’s Technology." In Pew Internet & American Life Project. Washington, DC: Pew Research Center, 2002.7. Johnson, G.M. (2008). "Verbal and Visual Reasoning in Relation to Patterns of Internet Use." Internet Research, Vol. 18, pp. 382-92.8. Coombs, P. (1985). The World Crisis in Education. New York: Oxford University Press.9. Merriam, S. B., RS Caffarella, and LM Baumgartner. (2007). Learning in Adulthood. A Comprehensive Guide: Jossey-Bass Higher & Adult Education