, AC “Interdisciplinary Design – The Saga Continues” ASEE Annual Conferenceand Exposition Proceedings, ASEE, Vancouver, British Columbia, June 26-29, 2011.7 MacNamara, S “Trans-Disciplinary Design Teaching for Civil Engineers and Architects Lessons Learned andFuture Plans” Paper 2011-1802, 2011 ASEE Annual Conference and Exposition Proceedings.8 Saliklis, E, Arens, R and Hanus, J “Teaching Architects and Engineers: Up and Down the Taxonomy” Paper 2009-2, 2009 ASEE Annual Conference and Exposition Proceedings. Page 24.1108.11
and learning style play a role in how online courses should be designed? Journal of Interactive Online Learning, 4(2), 67-81. Retrieved from http://www.ncolr.org/ jiol/issues/pdf/4.2.1.pdf2. Bolkan, J. (June 24, 2013). Report: Students taking online courses jumps 96 percent over 5 years. Retrieved from http://campustechnology.com/articles/2013/06/24/report-students-taking-online-courses-jumps-96- percent-over-5-years.aspx.3. McSporran, M., & Young, S. (2001). Does gender matter in online learning? Research in Learning Technology, 9(2), 3-15. Retrieved from http://www.researchinlearningtechnology.net/index.php/rlt/article/view/12024 doi:10.1080/09687760100902024. Beer, C., & Clark, K., & Jones, D
advanced mathematics with the optimization theory and s-domainto z-domain conversions. However, with our teaching pedagogy, this barrier can be overcomethrough design of different types of filters by MATLAB and applying them to real-timeimplementations. MATLAB is a necessary tool used to verify filter performance and performsimulations of various digital filter applications. To motivate our technology students orientedabout hands-on experience, we required them to perform real-time DSP using a floating-pointdigital signal processor2-3, TMS320C6713 DSK (development starter kit), to develop a real-timeDSP project such as a digital crossover system.The paper is organized as follows. We first explain the course prerequisites and describe ourclass
Multidisciplinary, Client-Based Pedagogy.” Journal ofTechnical Communication, Volume 2, Issue 1 (2001): 129-48.5. Ford, J.D. and L.A. Riley. “Integrating Communication and Engineering Education: A Look at Curricula,Courses, and Support Systems.” Journal of Engineering Education, Volume 92, Issue 4 (October 2003): 325-28.6. Anderson, J.L., S. Chenoweth, R. DeVasher, R. House, J. Livingston, M. Minster, C. Taylor, A. Watt, and J.M.Williams. “Communicating Sustainability: Sustainability and Communication in the Engineering, Science, andTechnical Communication Classrooms7. Berndt, A. “Exploring Sociotechnical Contexts in a Global Engineering Course.” IEEE InternationalProfessional Communication Conference 2013.8. Berndt, A. and C. Paterson. “Complementing
GR, Kuh GD. A Typology of Student Engagement for American Colleges and Universities. Research in Higher Education. 2005;46(2):185-209. doi:10.1007/s 11162-004-1599-0.9. Moore J, Lovell CD, McGann T, Wyrick J. Why involvement matters: A review of research on student involvement in the collegiate setting. College Student Affairs Journal. 1998;17(2):4-17.10. U.S. Department of Education. Nontraditional Undergraduates / Persistence and Attainment of Nontraditional Students. National Center for Education Statistics. 1994. Available at: https://nces.ed.gov/pubs/web/97578g.asp. Accessed December 23, 2013.11. Terenzini PT, Pascarella ET, Blimling GS. Students’ out-of-class experiences and their influence on learning
in pertinent area(s), and confidence/independence in conducting research Challenges student faced during the program Quality of student’s final paper, presentation, and poster Continuation of research efforts after the completion of the program Contribution to a scientific publication Overall satisfaction with the program Suggestions for improvementProject staff evaluations include: Progress and challenges student faced during the program Overall satisfaction with the program Suggestions for improvementConclusionParticipation in the TTE REU program provides community college students an intellectualexperience, a sense of community with other like-minded community college students
and identity: Evidence from researchers and educators' social media participation. British Journal of Educational Technology, 44(4), 639-651.12. Mazer, J. P., Murphy, R. E., & Simonds, C. J. (2009). The effects of teacher self‐ disclosure via Facebook on teacher credibility. Learning, Media and Technology, 34(2), 175-183.13. Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The internet and higher education, 11(2), 71-80.14. Heath, H., & Cowley, S. (2004). Developing a grounded theory approach: a comparison of Glaser and Strauss. International journal of nursing studies, 41(2), 141-150
24.1322.13them to be open to new development approaches and bring innovation to their futureemployers.5 - References 1. McConnell, S., “Code Complete,” 2nd edition, Microsoft Press, 2004. 2. Williams, L., Maximilien, E. M., Vouk, M., “Test-Driven Development as a Defect-Reduction Practice,” in the Proceedings of the 14th International Symposium on Software Reliability Engineering (ISSRE’ 03), pp. 34, 2003. 3. Solís, C. and Wang, X., “A Study of the Characteristics of Behaviour Driven Development,” in the Proceedings of the 37th EUROMICRO Conference on Software Engineering and Advanced Applications, 2011. 4. Wynne, M and Hellesoy, A., “The Cucumber Book – Behaviour-Driven Development for Testers and Developers,” Pragmatic
Students 2.73 (41) 2.90 (40)Recovering From Engineering ProbationIn the semester a student is classified as engineering probation, the student is limited to enrolling Page 24.1327.8in 14 or 15 hours of coursework and is encouraged to enroll immediately in the course(s) that arenegatively impacting their GPA so that the student may benefit from grade replacement. Gradereplacement may not retroactively change a student's academic status from engineering probationto good standing; however, the replaced grade may be used in future academic standingdecisions. The limitation in the number of hours a student
standards work: how to implement standards-based assessments in the classroom, school, and district, 3rd ed. Advanced Learning Press, Englewood, CO. 5. Siniawski, M.T., Carberry, A.R., & Dionisio, J.D. (2012). Standards-based grading: An alternative to score- based assessment. Proceedings of the 2012 ASEE PSW Section Conference, San Luis Obispo, California. 6. Carberry, A.R., Siniawski, M.T., & Dionisio, J.D. (2012). Standards-based grading: Preliminary studies to quantify changes in student affective and cognitive behaviors. Proceedings of the 42nd ASEE/IEEE Frontiers in Education Conference, Seattle, Washington. 7. Carberry, A.R., Lee, H-S., & Ohland, M.W. (2010). Measuring engineering
. S. Patent Awards so far. He received a masters degree in interdisciplinary engineering from Purdue University Calumet and graduated from Purdue University with a B.S.M.E.Prof. Gregory P. Neff, Purdue University, Calumet (Tech) Gregory Neff is professor of mechanical engineering technology at Purdue University Calumet. He is a Registered Professional Engineer, a Certified Manufacturing Engineer, and a Certified Manufacturing Technologist. Greg is active in ASEE where he won the Meryl K. Miller award in 1994 and in SME where he is education & certification chair and webmaster for chapter 112. He is faculty advisor and webmaster for SME student chapter 161 and advisor for Tau Alpha Pi. He is active in ASME
, 12(4), pp. 288–291.5. Elgamal, A., Fraser, M., and McMartin, F. (2005). On-line educational shake table experiments, Journal of Professional Issues in Engineering Education and Practice, 131 (1), pp. 41-49.6. Marc, S., Stefan, Z., Thomas, J., and Torsten, B. (2002). Global architecture and partial prototype implementation or enhanced remote courses, Computers and Advanced Technology in Education, Cancun, Mexico.7. Newson, T. A., Bransby, M. F., and Kainourgiaki, G. (2002). The use of small centrifuges for geotechnical education, In International Conference of Physical Modeling in Geotechnics, St. Johns, Canada, pp. 215–220.8. Romero, M. L. and Museros, P. (2002). Structural analysis education through model experiments and
Economics: • Interest rate formulas • Decision making using Net Present Value Probability and Statistics: • Random variables • Means, variances, and standard deviations • Addition and multiplication laws of probability • Random variables • Conditional probabilities • Distribution and density functions Operations Research: • Decision variables • Objective functions • Optimal solution(s) • Linear programs • Integer programs • Average wait in a queue • Average Length of a queue Production Planning and Control: • Forecasting • Economic Order Quantities and Newsboy Models
. Department of Education. (February, 2006). 7 Actions that Improve School District Performance. Washington, DC: The Center for Comprehensive School Reform and Improvement.2. Loucks-Horsley, S. (1995). Professional Development and the Learner-Centered School. Theory Into Practice, 34(4), 265-271.3. Todnem, G.R., & Warner, M.P. (1994). The QUILT program assesses teacher and student change: demonstrating the benefits of staff development. Journal of Staff Development, 15(4), 66-67.4. Garet, M.S., Porter, A.C., Desimone, L., Birman, B.F., & Yoon, K.S. (2001). What makes professional development effective: Results from a national sample of teachers. American Educational Research Journal, 38(4): 915-945.5. National Board for Professional
engineering leadership learning outcomes were inspired and modified from the learningoutcomes in Cox et al.'s Engineering Professionals' Expectations of Undergraduate EngineeringStudents[9], to include aspects of the Gordon-MIT's Capabilities of Effective EngineeringLeaders[7] , the UCSD Gordon Center's Engineering Leadership Core Values[10], and Cox'sLeadership, Change, and Synthesis Survey[11]. These learning outcomes are not comprehensive.More learning outcomes will be added upon further research, particularly on how to effectivelyassess the new outcomes to be added. Page 23.1011.7 Student Learning
. Sci. Coll., 27(3):31–37, January 2012.[28] Mendeley Ltd. Mendeley: Reference Manager and Academic Social Network. http://www.mendeley.com/, September 2012.[29] Masoud Milani, S. Masoud Sadjadi, Raju Rangaswami, Peter J. Clarke, and Tao Li. Research experiences for undergraduates: autonomic computing research at fiu. In The Fifth Richard Tapia Celebration of Diversity in Computing Conference: Intellect, Initiatives, Insight, and Innovations, TAPIA ’09, pages 93–97, New York, NY, USA, 2009. ACM.[30] Joan Peckham, Fatma Mili, Daniela Stan Raicu, and Ingrid Russell. Reus: undergraduate research experiences and funding. J. Comput. Sci. Coll., 23(5):208–211, May 2008
Kenya,” Biomass and Bioenergy, 8(3), pp. 175-179. 8. Wall, P., Hakansson, S., 2010, “Creating Commercial Community Enterprises through the Promotion of Fuel Efficient Stoves and Biomass Briquettes,” Concern Universal, Serrekunda, The Gambia. Page 23.1064.8Attachment: Peanut Shell Briquette Production – Visual GuideStep You do this Then you will get 1 2 3 4 5 Page 23.1064.9
is increasing, and administrators at both institutions have committed additional resourcesto assure the continued development and ongoing success of the program. Page 23.1067.8References 1. Agreement for Cooperation between Shanghai Normal University (PRC) and the University of Dayon (USA). Signed March 26, 2003. 2. Shanghai Normal University Web Site . [Retrieved 01/05/2013] 3. University of Dayton Web Site . [Retrieved 01/05/2013] 4. P. Kenna, S. Lacey. Business China: A practical guide to understanding Chinese Business culture. Passport Books. 1994. 5. Wikipedia < http://en.wikipedia.org/wiki/Guanxi>
smart grid technologies into an electrical and computer engineering curriculum," Innovative Smart Grid Technologies Asia (ISGT), 2011 IEEE PES , vol., no., pp.1-4, 13-16 Nov. 2011.[13] Sen, P.K, "Electric power and energy engineering education in USA: A status report, issues and challenges," Rural Electric Power Conference (REPC), 2011 IEEE , vol., no., pp.A1-1- A1-6, 10-13 April 2011.[14] Namboodiri, V.; Aravinthan, V.; Joseph, S.; Sawan, E.; Jewell, W., "Five Heads Are Better Than One: An Interdisciplinary Graduate Course on Smart Grids: Lessons, Challenges, and Opportunities," Power and Energy Magazine, IEEE , vol.11, no.1, pp.44,50, Jan. 2013VI. BibilographyRadhakrishnaKotti received his B.TECH degree from Jawaharlal
(DARPA Analog Spectral Processing Program, Phases I, II and III) and on 2) developing comprehensive characterization methods and models for understanding the vis- coelasticity/creep phenomena in high-power RF MEMS devices (DARPA M/NEMS S&T Fundamentals Program, Phases I and II). Furthermore, he is leading the experimental program on the Center for the Prediction of Reliability, Integrity and Survivability of Microsystems (PRISM) funded by the National Nuclear Security Administration. In addition, he led the development of the MEMS technology in a U.S. Navy project (Marines) funded under the Technology Insertion Program for Savings (TIPS) program focused on harsh-environment wireless micro-sensors for the health
other ideas to help move a classroom away from a directlecture format.References 1. Hake, R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses” American Journal of Physics, 66, 64 (1998); doi: 10.1119/1.18809 2. Smith, K. A., Sheppard, S. D., Johnson, D. W. and Johnson, R. T. (2005), “Pedagogies of Engagement: Classroom-Based Practices. Journal of Engineering Education:, 94: 87–101. doi: 10.1002/j.2168-9830.2005.tb00831.x 3. Chickering, A.W., and Gamson, Z.F., “Seven Principles for Good Practice in Higher Education,” American Association for Higher Education Bulletin, Vol. 39, 1987, pp. 3–7. 4. R.C. Hibbeler, Engineering
Schools of Construction Annual International ConferenceProceedings6. Young, N. W., Jones, S. A., Bernstein, H. M., & Gudgel, J. E. (2009). The Business Value of BIM: GettingBuilding Information Modeling to the Bottom Line. McGraw-Hill Construction SmartMarket Report, New York. Page 23.1089.11
, Mathematics, and Engineering Education, National Research Council (1996). From Analysisto Action. National Academy Press, Washington, D.C.9 Bransford, J. D., Brown, A. L., and Cocking, R. L., (1999), How People Learn: Brain, Mind, Experience, andSchool, National Academy Press, Washington, D.C.10 Committee on Undergraduate Science Education, (1999) Transforming Undergraduate Education in Science,Mathematics, Engineering, and Technology, Center for Science, Mathematics, and Engineering Education, NationalResearch Council.11 Kalabon, Amy E., Loescher, Eric S., Sommerville, Alice E., and Delatte, Norbert J. (2013), “Rise and Fall of theOhio and Erie Canal,” accepted for publication by the ASCE Journal of Professional Issues in EngineeringEducation and
effects ofcomputerization on drafting & design personnel”, Computers & Industrial Engineering, Volume 13, Issues 1–4,1987, Pages 406–410.2. Atharifar, H., Yildiz, F., and Knapp, J., “Learners’ Development of Spatial Visualization in a 2D versus 3D CADClass”, in the Proceedings of the ATMAE 2012 Conference, Nashville, TN, Nov. 14-17, 2012.3. Sorby, S. A., “Developing 3D spatial skills for engineering students”, Australasian Journal of EngineeringEducation, Volume 13, No. 1, 2007, Pages 1-11.4. Marunic, G., and Glazar, V., “Spatial ability through engineering graphics education”, Int. Journal of Technologyand Design Education, May 2012, Published online by Springer
DAN.4-2 DAN.4-3 Figure 1 – The Synthesis Step for Systems and Software Architecting: DA = DesignApproach; DAx.y-z = Design Approach for sub-function x.y for architecture zAfter the synthesis matrix has been developed, the (three) alternative architectures are evaluatedusing a ”standard” weighting and rating scheme6. This is the “analysis” step which producesmeasures of the cost and the effectiveness of each of the alternatives.We note that in the CE-AM approach we are explicitly defining and evaluating alternativearchitectures, with the ultimate goal of finding a cost-effective architecture (solution) for thecustomer(s) (stakeholders). The steps of the procedure are the same as the critical “views” in thateach step is defined by
. Page 23.1127.8Bibliography1. Nathan, M., Tran, N., Atwood, A., Prevost, A., and Phelps, L.A. “Beliefs and Expectationsabout Engineering Preparation Exhibited by High School STEM Teachers.” Journal ofEngineering Education, October, 2010. P. 409-426.2. Katehi, L., Pearson, G., Feder, M., editors. “Engineering in K-12 Education: Understandingthe Status and Improving the Prospects.” Committee on K-12 Engineering Education, NationalAcademy of Engineering and National Research Council. 2009.3. Virani, S. Burnham, I., “Innovative Curriculum for Engineering In High School (ICE-HS):Status Update.” American Society for Engineering Education Annual Conference Proceedings,2012.4. Jain, R., Sheppard, K., McGrath, E., and Gallois, B. “Promoting Systems
based on those preferences.Figure 2 is a copy of the Learning Preference Assignment. Page 23.1137.5 Figure 2 Learning Preference Assignment Activity Assignment #1 LEARNING STYLESObjective: To determine your personal learning style(s) to help you get more out of this course and your other college coursework.Background: Every individual has a different learning style. Some students prefer to read the course material slowly instead of listening to a lecture. Some students can only understand lecture material when it is in their hands through a
cyclone resistanceEngineer’s name and signature: ___________________________________Date work completed: ___________________________________________ Page 23.1138.11Appendix B:BOS MASON TRAINING WORKSHOP EXIT QUIZLast Name: ______________________ First Name(s): _____________________NIF: __________________________ Telephone: _______________________Please answer all the questions to the best of your ability1. MaterialsSince attending the workshop from MCC what changes have you made in use of the followingmaterials? Sand Gravel Cement Water Blocks Steel reinforcement2. Column and beam steel
. Gan, S. Kuo, “Teaching DSP Software Development: From Design to Fixed-Point implementations,” IEEETrans. on Education, vol. 49, issue, 1, pp. 122-131, February 2006.4. L. Tan, J. Jiang, “Teaching Advanced Digital Signal Processing with Multimedia applications in EngineeringTechnology Programs,” ASEE Annual Conference, June 2009.5. Ifeachor, Emmanuel and Jervis, Barrie. Digital Signal Processing, A Practical Approach, Prentice-HallPublishing, 2002.6. de Vegte, Joyce Van. Fundamentals of Digital Signal Processing, Prentice-Hall Publishing, 2002.7. J. Essick, LabVIEW for Scientists and Engineers, Oxford University Press, 2009. Page