Khonsari, M.M., 2007, ”Granular Collision Lubrication: Experimental Investigation and Comparison with Theory,” ASME Journal of Tribology – V. 129, pp. 923-932 Synergistic Activities: Engineering Program Manager, Baton Rouge Community College, August 2011 – Present: LA-SiGMA EPSCoR - collaborate with LSU engineering and mathematics faculty to develop modules to train community college students to use sophisticated materials research instrumentation, assist with the Beowulf Boot Camp for high school students and teachers and facilitate the participation of BRCC students in the research experiences for undergraduates (REU) programs focused on computational and experimental materials science NSF S-STEM Scholarships
the focus fromteaching to learning, Delmar Publishers, 2000Uchiyama, K. P., and Radin, J., Curriculum mapping in Higher Education: a Vehicle forCollaboration, Innovations in Higher Education, 2009 33:271-280Angelo, T., Cross, K., Classroom Assessment Techniques: A Handbook for College Teachers, 2ndedition, 1993Saad, I., Elgamal, S., Interactive Student Portfolios: Proceedings of Construction Congress VII, ASCE,Honolulu, Hawaii, March 2003 Page 24.884.9
significantlyimprove educational standards and career opportunities for technical college graduates. Page 24.886.9 References1. ETA/ Business Relations Group Report. (2005). Addressing the Workforce Challenges of America’s Advanced Manufacturing Workforce. Retrieved September, 5, 2011.2. Labor Market Information Division, Industry Employment and Labor Force, November 18, 2005.3. Center for Workforce Success, “The Skill Gap 2001,” P.5.4. Rosenfeld, S. (1998). Technical Colleges, Technology Deployment, and Regional Development (Organization for Economic Cooperation and Development). Chapel Hill, North
Engng. Educ., Bangkok, Thailand, 19-23 (2007).4. Terenzini, P.; Cabrera, A.; Colbeck, C.; Parente, J.; Bjorklund, S., "Collaborative Learning Vs. Lecture/Discussion: Students’ Reported Learning Gains." Journal of Engineering Education (2001): 123-130. Web.5. Guzdial, M.; Ludovice, P.; Realff, M.; Morley, T.; Carroll, K.; Ladak, A., "The Challenge of Collaborative Page 24.921.9 Learning in Engineering and Math," Frontiers in Education Conference, 2001. 31st Annual , vol.1, T3B,24-9 vol.1, 2001
Optimization: State of the Art: SIAM, 19973 Kodiyalam S, Sobieszczanski-Sobieski J. Multidisciplinary Design Optimization - some formal methods, framework requirements, and application to vehicle design. International Journal of Vehicle Design 2001; 25:3-224 Sobieszczanski-Sobieski J. Multidisciplinary design optimization (MDO) methods: Their synergy with computer technology in the design process. Aeronautical Journal 1999; 103:373-3825 Xiaoyu G, Renaud JE, Penninger CL. Implicit uncertainty propagation for robust collaborative optimization. Transactions of the ASME. Journal of Mechanical Design 2006; 128:1001-10136 Tovar A, Khandelwal K. Topology Optimization for Minimum Compliance using a Control Strategy
of Sciences, National Academy of Engineering, Institute of Medicine. ISBN: 0-309-65442-4, (2007).2. G. Lichtenstein, H. G. Loshbaugh, B.Claar, H. L. Chen, , K. Jackson, S. D. Sheppard, “An Engineering Major Does Not (Necessarily) Make an Engineer: Career Decision Making Among Undergraduate Engineering Majors,” Journal of Engineering Education, 98, 3, 227-234, (2009). Page 24.943.11
-specific Outreach Activities within the faculty member’s annualproductivity plan thus providing significant benefits to the faculty member, to his/her students, tothe industry sponsors who support the process, and to the local economies where participatingworkforce members live and work.References1. Boyer, E. L. (1996). The scholarship of engagement. Journal of Public Service & Outreach, 1(1), 11–20.2. Ellison, J., & Eatman, T. (2008). Scholarship in public: Knowledge creation and tenure policy in the engaged university. Imagining America, Syracuse University. Retrieved from http://imaginingamerica.org/TTI/TTI.html3. Freeman, E., Gust, S., & Aloshen, D. (2009). Why faculty promotion and tenure matters to community
engineering through a microfabrication project, Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Nov 11-15, Seattle, WA, USA. 2. Carlson, L., Sullivan, J., Poole, S., and M. Picket-May. (1999). Engineers as Entrepreneurs: Invention and Innovation in Design and Build Courses, 29th ASEE/IEEE Frontiers in Education Conference, San Juan, Puerto Rice. 3. Hein, G.L., S.A. Sorby, (2001). Engineering Explorations: Introducing First-Year Students to Engineering, 31st ASEE/IEEE Frontiers in Education Conference, October 21, Reno, Nevada, USA. 4. Carlson, L.E., Sullivan, J.F. (1999). Hands-on engineering: learning by doing in the integrated teaching and learning
expressing the things they believe about teaching,learning, and their role(s) in the teaching/learning processes. For example, “What are yourbeliefs about teaching? What are your aims for students, and why are these aims important toyou? How do your actions as a teacher reflect your beliefs about teaching and learning?”3Portfolio authors could also adapt guidance intended to help students creating learning portfoliosto their situation, and utilize prompts such as “What have I learned? Why did I learn?”4 (aboutteaching); “What difference has the learning made in my intellectual, personal, and ethicaldevelopment?”4 (as a teacher); “How does what I have learned fit into a full, continual plan forlearning?”4 (for teaching, for professional development
&q=&esrc=s&source=web&cd=1&ved=0CDkQFjAA&url=htt p%3A%2F%2Fifap.ed.gov%2Ffsahandbook%2Fattachments%2F0910FSAHbkVol2Ch1School.pdf&e i=ZRnCUt_INYmuyQHu54HACw&usg=AFQjCNG_lqxZvURlglb4- 01XQlI_kydtvA&bvm=bv.58187178,d.aWc 4. IUPUI Institutional Reports. (2013). Retrieved December 28, 2013, from http://reports.iupui.edu/render.aspx/INSTITUTIONAL%20DATA/RSPINC/IUPUI 5. Indiana Commission for Higher Education. (2013). Retrieved December 28, 2013, from http://www.in.gov/che/ 6. Pande, P., Neuman, R., and Cavanagh, R. (2002). The Six Sigma Way: Implementation Guide for Process Improvement Teams. New York, NY: McGraw-Hill 7
. Although we made a comprehensive comparisonbetween two boards and we used the tower as the primary board, I should emphasize that we areteaching principles. The platform we have is sufficient to teach everything the students need toknow at this point in time...Unless there is a compelling reason to change the platform, we should stick with what we havefor a significant amount of time.References1. L. J. McKenzie, M. S. Trevisan, D. C. Davis, and S.W. Beyerlein, “Capstone design courses and assessment: A national study,” in Proceedings 2004 ASEE Annual Conference and Expo., Salt Lake Page 24.1012.10 City, Utah, USA, 2004, pp. 1-14.2. http
: Effectively Teaching Large-Enrollment Online Classes”, Online Classroom, May 1, 20134. “Strategies for Teaching Large Classes”, Published on Office of the Executive Vice President and Provost of the University5. Natarajarathinam, M., “Redesigning a course on Electronics Distribution Networks to meet the contemporary industry needs”, Proceedings of the 2011 Annual Meeting of the American Society for Engineering Education, Vancouver, British Columbia, June 26 – 29.6. Dunn, C. K., Batts, D. L. and Friend, S. L., “How educational institutions can handle more students with fewer faculty members”, Proceedings of the 2011 Annual Meeting of the American Society for Engineering Education, Vancouver, British Columbia
. & Yuen, S. C., Video streaming in online learning. AACE Journal 14, 31–43, 2006.18. Means, B., Toyama, Y., Murphy, R., Bakia, M. & Jones, K., Evaluation of evidence-based practices in online learning: a meta-analysis and review of online learning studies. U.S. Department of Education 1–96, 2010. http://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.pdf19. Falconer, J.L., DeGrazia, J., Medlin, J. W. & Holmberg, M., Using screencasts in ChE courses. Chemical Engineering Education 43, 302–305 (2009).20. Falconer, J.L., Nicodemus, G., DeGrazia, J. & Medlin, J. W., Chemical engineering screencasts. Chemical Engineering Education 46, 58–62 (2012
Transmission from HighAltitude Balloon: An Interdisciplinary Senior Design Project," Proceedings of 2010 AnnualASEE Conference and Exposition, Louisville, KY June 2010.[17] J. Mitola, Cognitive Radio - An Integrated Agent Architecture for Software Defined Radio.Ph.D. Dissertation. Teleinformatics, Royal Institute of Technology - Sweden, 2000.[18] S. Haykin, “Cognitive radio: brain-empowered wireless communications," IEEE J. Sel.Areas Commun., vol. 23, pp. 1-20, 2005.[19] A. Wyglinski, M. Nekovee and Y. Hou, Cognitive Radio Communications and Networks: Page 24.1090.8Principles and Practice, Academic Press, 2010[20] X. Li, V. Chakarvarthy and Z. Wu
, 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