it’s the other way around, and people are expecting gay men, like, there’s no way you could be acting like that in a technical position… (Brian) I guess there’s this assumption that, “oh, you’re a lesbian, you’re kind of butch, you are definitely kind of more guy-ish, so it would make sense that you are an engineer, because guys are engineers”…I think, for straight women, it’s like, “oh, you’re pretty, you would want a social type of major.” Researcher (Q)uestion: Do you think the way that other students see competence in engineering aligns with that? Um, yeah. I actually think so. Because I’m, I guess, not a stereotypical female, or what is socially constructed as a
velocities thatthen feeds into the kinetic energy term of energy balances, you end up with two pathwaysthrough volumetric flowrate using area to get to that point, one for liquids and one for gases.Potential energy, heat (Q) and shaft work (Ws) also appear leading up towards the top of thediagram where internal energy (ΔU) and enthalpy (ΔH) appear. One can then bridge over tospecific internal energies and enthalpies (U-hat and H-hat) to the left through temperature andpressure information. One can also calculate enthalpies and internal energies from integrals ofthe appropriate heat capacities in the upper right. Phase change information may also be neededthrough ΔHvap, ΔHfus and ΔUvap, ΔUfus. It should be noted that even after several years of
(D0 = 0, D1 = 0) corresponds to the empty set meaning that the value of D is not yet available. The two rails are mutually exclusive, such that both rails can never be asserted simultaneously; this state is defined as an illegal state. A quad-rail signal, Q, consists of four wires, Q0, Q1, Q2, and Q3, which may assume any value from the set {DATA0, DATA1, DATA2, DATA3, NULL}. The DATA0 state (Q0 = 1, Q1 = 0, Q2 = 0, Q3 = 0) corresponds to two Boolean logic signals, X and Y, where X = 0Proceedings of the 2009 Midwest Section conference of the American Society for Engineering Education 4 and Y = 0. The DATA1 state (Q0 = 0, Q1 = 1, Q2 = 0, Q3 = 0
Curriculum Development by Bulk Micromachining Technology”. Journal of Education and Human Development, vol. 1, no. 1, Page 14.1195.10 2007.[8] Novotny, P.M. and Ferrier, N.J., “Using Infrared Sensors and the Phong Illumination Model to Measure Distance,” IEEE Int. Conf. On Robotics and Automation, pp. 1644-1649, 1999.[9] Um, D. and Hung, W.N.P., “A Novel Infrared Proximity Array Sensor for Micro-Workcell: Modeling and Applications,” submitted to IEEE Int. Conf. On Robotics, Automation and Mechatronics, 2006.[10] Kornbluh, R., Pelrine, R., Pei, Q., Shastri, S., Application of Dielectric Elastomer EAP Actuators: Electroactive Polymer
accessible via Internet,” In Proceedings of the 1996 ASEE Annual Conference, Washington, DC, 1996, pp. 73-79. 9. H. Shen, Z. Xu, B. Dalager, V. Kristiansen, O. Strom, M. Shur, T. Fjeldly, A. Tor, J.-Q. Lu, and T. Ytterdal,” Conducting laboratory experiments over the internet,” IEEE Transactions on Education, v 42, n 3, Aug, 1999, p 180-185. 10. D. Miele, B. Potsaid, and J. Wen, “An internet-based remote laboratory for control education,” In Proceedings of the American Control Conference, Arlington, VA, 2001, pp. 1151-1152. 11. M. Ogot, G. Elliott, and N. Glumac, “Hands-on laboratory experience via remote control: Jet thrust laboratory,” In Proceedings of the 2002 ASEE Annual Conference and Exposition, Montreal
influence its economic well-being.Global OverviewA team of Faculty Educators from R+H disclosed a comprehensive, global overview of thestudio pipeline to faculty to facilitate better context between departments and their upcomingpresentations. At three hours in length, this session served as the foundation for our education forthe week. Each department discipline in the production pipeline was defined and elaboratedthrough Q&A, but not with the same rigor, as each department would define itself later.Global Overview: AnalysisSimply put, every embedding industry needs to elaborate on the instigation/deliverable life cycle Page 14.529.5of a
-achieving student whodominates the project, a student who doesn’t pull his share of the load, a shy student who doesn’tspeak up, and a student who takes on a task without finishing it. The sketch also alludes todeeper issues relative to male-female gender dynamics, poor communication and follow-through,and frustration about unsatisfactory group dynamics.After Off-Course ends, the facilitator discusses the performance with the audience using a varietyof interactive learning strategies: pair sharing, large group discussion, and Q&A between thesketch characters and the audience. That is, the characters from the sketch remain on the stageand the students in the audience interact directly with them (as they remain in character) byasking questions
,” Journal ofFinancial Economics, 7, 229-263.13. Eisdorfer, A. (2008) “Empirical Evidence of Risk Shifting in Financially Distressed Firms,” The Journal ofFinance, 63(2), 609-637.14. Hennessy, C.A. (2004) “Tobin’s Q, Debt Overhand, and Investment,” The Journal of Finance, 59(4), 1717-1742.15. Lewis, N.A.; Eschenbach, T.G.; and Hartman, J.C. (2008) “Can We Capture the Value of Option Volatility?”The Engineering Economist, 53(3), 230-258.16. Luehrman, T.A., (1998) “Investment Opportunities as Real Options: Getting Started on the Numbers,” HarvardBusiness Review, 76(4), 51-64.17. Luehrman, T.A. (1998) “Strategy as a Portfolio of Real Options”, Harvard Business Review, 76(5), 89-99.18. Mun, J. (2006) Real Options Analysis, 2nd edition, John Wiley &
with the shrinking size in the relationship betweencharge, voltage and capacitance Q = C V is at the root of this sensitivity since at acapacitance of 10-17F or less, V is likely to be larger than the thermal voltage for a singleelectron moving from one side to the other1. Such effects cause degradation in theperformance of CMOS technology ultimately limiting the device densities attainable withtransistors. These limits have led to the growing importance of developing alternativebottom up approaches such as nano-technology which allows scaling at the limits ofmolecular dimensions. QCA and nano-wires are two such approaches and our interest inthese two areas has been guided by the PI’s prior experience in the field of QuantumInformation
environments.Bibliography1. Gentoo. (2009). "Gentoo Linux Handbook." Retrieved 02/06/2009, 2009, fromhttp://www.gentoo.org/doc/en/handbook/handbook-x86.xml.2. Giansanti, D., L. Castrichella, et al. (2008). "Telepathology requires specific training for the technician in thebiomedical laboratory." Telemedicine and e-Health 14(8): 801-807.3. OpenMoko. (2009). "OpenMoko Neo FreeRunner." Retrieved 02/06/2009, 2009, fromhttp://www.openmoko.com/product.html.4. Ren, H., M. Q. H. Meng, et al. (2005). Physiological information acquisition through wireless biomedicalsensor networks, Piscataway, NJ 08855-1331, United States, Institute of Electrical and Electronics EngineersComputer Society.5. Wang, Z. and L. Shi (2008). A handheld wireless medical information system
AC 2009-2188: A CREATIVELY ENGAGING INTRODUCTORY COURSE INCOMPUTER SCIENCE THAT GENTLY MOTIVATES EXPLORATION OFADVANCED MATHEMATICAL CONCEPTSEric Freudenthal, University of Texas, El Paso Eric Freudenthal is an Assistant Professor of computer science at the Universtity of Texas at El Paso.Mary Kay Roy, University of Texas, El Paso Mary "Kay" Roy is on the adjunct faculty of computer science at the Universtity of Texas at El Paso.Alexandria Ogrey, University of Texas, El Paso Alexandria N. Ogrey is a B.S. candidate studying computer science at the Universtity of Texas at El Paso.Ann Gates, University of Texas, El Paso Ann Q. Gates is a Professor of computer science at the University of
. An assessment of in-person and remotely operated laboratories. Journal of Engineering Education, 92(1):57–62, 2003.[34] Eileen Scanlon, Chetz Colwell, Martyn Cooper, and Terry Di Paolo. Remote experiments, re-versioning and re-thinking science learning. Computers and Education, 43 n.1-2:153–162, 2004.[35] H. Shen, B. Dalager X. Xu, V. Kristiansen, Ø . Strøm, M. S. Shur, T. A. Fjeldly, J.-Q. Liu, and T. Ytterdal. Conducting laboratory experiments over the internet. IEEE transactions on Education, 42(3):180–185, 1999. Page 14.259.10[36] D. C. Sicker, T. Lookabaugh, J. Santos, and F. Barnes. Assessing the effectiveness of
., “Animations and Intelligent Tutoring Systems for Programmable Logic Controller Education.” International Journal of Engineering Education, 19(2), p. 282-296 (2003). Page 14.209.86. Huang, S., Su, Q., Samant, N., and Khan, I., “Development of a Web-Based Integrated Manufacturing Laboratory,” Computer Applications in Engineering Education, 9(4), p. 228-237 (2001).7. Jiang, H., Kurama, Y., and Fanella, D., “WWW-Based Virtual Laboratories for Reinforced Concrete Education,” Computer Applications in Engineering Education, 10(4), p. 167-181 (2002).8. Kuester, F. and Hutchinson, T., “A Virtualized Laboratory for Earthquake
, G., Liu, S. Q., Smith, H. D., & Hirsch, P. (2006). Educational Modules in Tissue Engineering Based on the “How People Learn” Framework. BEE-j , 7.4. Birol, G., McKenna, A. F., Smith, H. D., Giorgio, T. D., & Brophy, S. P. (2002). Integration of the "How People Learn" Framework into Educational Module Development and Implementation in Biotechnology. Second Joint EMBS/BMES Conference (pp. 2640-2641). Houston: IEEE.5. Barr, R, Pandy, M, Petrosino, A, Austin, B and Goldberg, E. (2004). Classroom Testing of VaNTH Biomechanics Learning Modules. Proceedings of the American Society for Engineering Education Session 1109: 20 pages (2004).6. Greenberg, J.E., Smith, N.T. and Newman, J.H. Instructional Module
Poor 5 4 3 2 1Feedback from attendees Excellent Poor(New sign-ups, Q&A, etc.) (please explain) 5 4 3 2 1Overall, how do you think it went? Excellent Poor 5 4 3 2 1Resources Distributed: Not available yet: ̌ Careers in Metrology Poster
AC 2009-441: CULTIVATING AUTHENTIC ENGINEERING DISCOURSE:RESULTS OF FACULTY DEVELOPMENT EFFORTSKerrie Kephart, University of Texas, El Paso Kerrie L. Kephart is Assistant Professor of Bilingual/ESL Education at the University of Texas at El Paso. Her research interests include academic literacy development, second language learning, and the connections between language and learning. She provides faculty development workshops on classroom practice, learning theories, and supporting students’ development of communication skills.Elsa Villa, University of Texas, El Paso Elsa Q. Villa is a lecturer in the Department of Teacher Education, Division of Mathematics, Science, and Technology
besimulated. The principle advantage to a DFIG is independent control of active and reactive power.The laboratory illustrates how the d and q components of the rotor current affect the P and Qcomponents of the complex power.5 Integration into curriculumA basic knowledge of electric power topics, including voltage, current, active and reactive power,three-phases systems, and one-line diagrams, is required for all experiments. Students will benefitfrom previous work with electric machines, especially induction machines. It is, however, Page 14.461.7possible to compensate for a lack of study in this area with sufficient instruction, and the
− − − IL VPV Cp − Q Vb Ib Vu / Vo Co Vc LOAD / Q4 Q2
Page 14.1285.6of multiple teams for 2008:Q: How did having multiple Baja teams this year help or hurt your success? 1. It helped inspire an internal competition. 2. It helped by creating internal competition. It hurt by dividing people and assets. 3. Helped- competition kept us driven and let us see other alternatives to problems. Hurt- split up the members that really wanted to work on the vehicle and not choosing members hurt team dynamics. 4. Helped- teams were able to show the other difficulties and problems that would be applicable to both. Required increased insight to produce two separate products. 5. I think it helped because we fed ideas off one another, but a consolidated team with those that worked
interactivesimulations. Survey items relating to student interest and engagement are promising.Fig. 6 lists a typical test log file. The first four lines comprise the file header. This headerrecords the student name, time and date, test name, and test scoring. The test scoring line liststhe percentage correct answers, the response percentage, and the number of correct answers. Theresponse percentage measures the number of times a student responded to questions during John Doe 1/16/2009 9:52:33 PM Test ID: Practice 80.00 28.75 16.00 Q# COC POC R# ETQ Cor
1000 Minimum -1744.28 1st Quartile -534.17 Median -116.19 3rd Q uartile 314.78 -1500 -1000 -500 0 500 1000 1500 Maximum 1758.99 95% Confidence I nterv al for Mean
communicationrather than only wireless sensor networks.Most students felt that providing a hands-on project based aspect to the course would greatlyincrease their engagement in the content. Several students signed up for the course not realizingthat it was an inverted format and had expected the course to be a more traditional lecture formatwith laboratory experiences embedded throughout the semester. Many felt that the hybrid natureof the class would have worked better if hands-on opportunities were provided during class time.Student enthusiasm during the pilot was strongly positive overall. Most students were verypositive about the inverted classroom format, where they could watch the lecture videos at theirown convenience, followed by free-wheeling Q&
/academics/grad/industrial[6] Commonwealth of Pennsylvania Department of Labor and Industry (10/14/2003). Workers’ CompensationCompliance. Retrieved January 19, 2006, fromhttp://www.dli.state.pa.us/landi/cwp/view.asp?a=138&Q=65908&landiPNavCtr=|1065|1306|#2641[7] Asfahl, C. R., Industrial Safety and Health Management (5th Edition), Prentice Hall, 2003.[8] http://www.imdb.com/title/tt0101590/[9] www.hayesassoc.com Page 14.1138.10
styles Unanticipated Outcomes - Observation, informal Q&A 1,2,3,4 Figure 1. Relational Structure of CLABSIn this model, CLABS components impart knowledge, skills, and guidance to the student that inturn lead to positive outcomes as delineated by the program objectives. In addition, the projectmonitors the role of external factors and unanticipated outcomes through observation andinquiry. While the CLABS project team has continually assessed and evaluated the program inthe past, the addition of concept mapping and
"I" 001001100 "L" 001000011"M" 101000010 "N" 000010011 "O" 100010010 "P" 001010010 "Q" 000000111 "R" 100000110 "S" 001000110 "T" 000010110 "U" 110000001 "V" 011000001 "W" 111000000 "X" 010010001 "Y" 110100000 "Z" 011010000 "0" 000110100 "1" 100100001 "2" 001100001 "3" 101100000 "4" 000110001 "5" 100110000 "6" 001110000 "7" 000100101 "8" 100100100 "9" 001100100 "" 011000100 "-" 010000101 "." 110000100 "*" 010010100Figure 4. Code 39 Barcode TableFigure 5. Flow Chart To Find the Start of the BarcodeFigure 6. Flow Chart For Processing The BarcodeFigure 7. Flow Chart for Converting the Barcode
b w q y p x + Π Φ - e COPSO Fig. 1 Structure of single multiplicative neuron model with COPSO laerning (COPSO-SMN) Fig. 2 Basic structure of ANFIS 0.2 Swarm1
River Aircraft System, “Our Company” (1997-2008). Available at: http://www.mras-usa.com/company.html/ [5] Richard Schonberger, “Best practices in Lean Six Sigma process improvement: a deeper look”, John Wiley andsons, pp 10-45, 2007 [6] Robert S. Woodbury, “The Legend of Eli Whitney and Interchangeable Parts”, Technology and Culture, Vol. 1No. 3, 1960, pp 235-253.[7] Womack, J. and Jones, D., “The machine that changed the world”, Rawson Associates, NY, 1990. [8] Lee, Q., “Lean manufacturing strategy”, Strategos, available at: www.strategosinc.com/ [9] Shahram Taj, “Applying lean assessment tools in Chinese-hi tech industries”, Emerald Management Decision,Vol. 43 No. 4, 2005, pp 628-643. [10] Tham, M. T., “An introduction to SPC”, Chemical
losses within the flow (represented by a losscoefficient, C), but it provides easily measurable quantities for the first-year students. The power(P) derived from the momentum can be determined from Equation 6: ܲ ൌ ܳߩݑሺܸ െ ݑሻሺ1 െ ܿߚݏሻ (Eq. 6)where, u is the tangential velocity of the waterwheel created by the velocity (V) of the water, ρ isthe density of the water, Q is the volumetric discharge of the water, and β is the relative angle ofthe turbine blades to the water flow. This waterwheel will spin, thus wrapping up a string that isconnected to the weight via a pulley. Thus the weight, distance, and time can be measured, andthe power output can be calculated using Equation 3 and
veryfriendly and useful for better understanding of the basic terms used in random variables andprocesses.AcknowledgementThis work was supported in part by the CONACYT under Grant No. 91013. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 344References 1. Li, S. G. and Lie, Q. (2004). Interactive Groundwater (IGW): An Innovative Digital Laboratory for Groundwater Education and Research, Computer Applications in Engineering Education, 11(4), 179-203. 2. Jovanovic Dolecek, G. (1997). RANDEMO: Educational Software for Random Signal Analysis, Computer Applications in
River Aircraft System, “Our Company” (1997-2008). Available at: http://www.mras-usa.com/company.html/ [5] Richard Schonberger, “Best practices in Lean Six Sigma process improvement: a deeper look”, John Wiley andsons, pp 10-45, 2007 [6] Robert S. Woodbury, “The Legend of Eli Whitney and Interchangeable Parts”, Technology and Culture, Vol. 1No. 3, 1960, pp 235-253.[7] Womack, J. and Jones, D., “The machine that changed the world”, Rawson Associates, NY, 1990. [8] Lee, Q., “Lean manufacturing strategy”, Strategos, available at: www.strategosinc.com/ [9] Shahram Taj, “Applying lean assessment tools in Chinese-hi tech industries”, Emerald Management Decision,Vol. 43 No. 4, 2005, pp 628-643. [10] Tham, M. T., “An introduction to SPC”, Chemical