resinmatrix. It is frequently used in place of a traditional hand layup for a number of reasons,including increased control over resin content, decreased scrap and mess, and generallyimproved reproducibility during processing. [1] Following impregnation of the pre-polymericresin system into fibers, the prepreg is considered B-staged. At this point in processing, the resinhas undergone a partial cure and begun to crosslink. As such, storage in freezers is required, toprevent further crosslinking of the material into a fully cured C-stage product. [2]Prepreg is manufactured primarily using two processes: solvent coating and hot melt coating. Inthe solvent coating process, fabric is threaded between metal rollers and run through a resin bath,then fed
administration of the persistence in engineering survey. Journal of Engineering Education, 99(4), 371-395. 7. Lichtenstein, G., Loshbaugh, H. G., Claar, B., Chen, H. L., Jackson, K., & Sheppard, S. D. (2009). An engineering major does not (necessarily) an engineer make: Career decision making among undergraduate engineering majors. Journal of Engineering Education, 98(3), 227-234. 8. Committee on the National Aerospace Initiative, Air Force Science and Technology Board Division on Engineering and Physical Sciences. (2004). Evaluation of the National Aerospace Initiative. Washington, DC: National Academies Press. 9. Weigel, A. (2010). “Survey of aerospace student attitudes.” Retrieved February 20, 2011
over the course offive semesters. The research is designed to test two hypotheses: 1. A long-term design project that integrates knowledge from multiple courses strengthens student knowledge retention. 2. A large-scale design project requiring tools from many courses improves student problem-solving and design skills.By integrating five semesters of the mechanical engineering curriculum into a cohesive whole,this project has the potential to transform the way undergraduate education is delivered. Beforeand after testing is being conducted to assess: a) Change in retention between courses and b)Change in student problem-solving and design skills.The centerpiece of the hybrid powertrain is the planetary gearset, which combines
DFW rate of 18%, while studentswho had not taken a physics course prior to Engineering Physics experienced double the rate, a40% DFW rate. In addition, students with prior physics experience earned grades of A and B ata much higher rate (49% A and B rate) in comparison to those without this background (28% Aand B rate). Page 26.117.4Table 1: Success rates for students with and without prior physics experience Students who did not take Students who took physics in high school physics in high school # 25 76 # DFW 10
afirst-year course. We believe that the pedagogical process used in this course is transferable toother educational contexts.References: 1. Allen, D., Allenby, B., Bridges, M., Crittenden, J., Davidson, C., Hendrickson, C., Matthews, S., Murphy, C., and Pijawka, D. (2008), Benchmarking sustainable engineering education: Final report. EPA Grant X3-83235101-0. 2. Wiggins, J., McCormick, M., Bielefeldt, A., Swan, C., and Paterson, K. (2011), “Students and sustainability: Assessing students’ understanding of sustainability from service learning experiences”, paper presented at the 2011 Annual American Society of Engineering Educators (ASEE) Conference and Exposition, 26-29 June 2011, Vancouver, Canada
present formative and summative assessmentCOURSE (FORMATIVE) CODE A B C D E F G H I J K Lfirst year seminar ENG100 1 1 1strength of material ME214 1 1material science ME315 1 1digital computer usage ME205 1 1 1digital computer usage lab ME206 1biology lab BIOL123 1 1 1molecular biology BIOL122 1engineering thermodynamics ME312 1 1instrumentation lab ME332 1 1assessment per outcome 3 2 1 2 2 1 1 1 1 1 2 2COURSE (SUMMATIVE
transformative potential in higher education. The Internet and Higher Education, 7(2), 95–105.14. Staker, H., & Horn, M. B. (2012). Classifying K-12 Blended Learning. Innosight Institute.15. Lage, M. J., Platt, G. J., & Treglia, M. (2001) “Inverting the Classroom: A Gateway to Creating an Inclusive Learning Environment.” Journal of Economic Education, 31, 1, 30- 43.16. Bishop, J. L., & Verleger, M. A. (2013, June). The flipped classroom: A survey of the research. In ASEE National Conference Proceedings, Atlanta, GA.17. Rockland, R., Hirsch, L., Burr-Alexander, L., Carpinelli, J. D., Kimmel, H. S. (2013). Learning Outside the Classroom - Flipping an Undergraduate Circuits Analysis Course. In ASEE Annual
Technology Review, (9), 10 – 14.[3] Deslauriers, L., Schelew, E., and Wieman, C. (2011). Improved learning in a large-enrollment physics class. Science, 332, 862 – 864.[4] Smith, M. K., Wood, W. B., Adams, W. K., Wieman, C., Knight, J. K., Guild, N., and Su, T. T. (2009). Why peer discussion improves student performance on in-class concept questions. Science, 323, 122 – 124.[5] Mazur, E. (1997). Peer instruction: A user’s manual. Upper Saddle River, N.J.: Prentice Hall.[6] Hammer, D. (1989). Two approaches to learning physics. The Physics Teacher, 27(9), 664 – 670.[7] Van Heuvelen, A. (1991). Learning to think like a physicist: A review of research-based instructional strategies. American Journal of Physics, 59(10
“Critical Engineering Challenges”, I thinkit is problems in today’s society. I thought I would be working in a team of 3-4, working onsome sort of project that saves gas. I thought I would be doing lots of planning & engr. des.work.”Q2. Confidence and Success.A2. “Having an idea that I will be working on a motorcycle mademe a little scared due to my lack of motorcycle knowledge. I felt that I wouldn’t be THAT greatat building/machining b/c I’ve done only a little work with mechanical engineering. I did havesome confidence because I helped build a tricycle in engr. des. when I originally had no tricycleknowledge. I had about 50% confidence.”Q3. Faculty Mentoring. A3. “Initially, I thought I would be spending all my time with theresearch advisor
gates, b) using a 16 to 1 Multiplexer(MUX), and c) employing an 8 to 1 MUX. Each part was worth 5 points. The mean score onthis section 12.5 out of 15 points, while the median was 13.75. As the class average was above80%, we can consider this result to indicate satisfactory proficiency overall. A second example(1P) involves the behavior of a sequential logic element: the JK flip-flop (FF). Given a diagramof the JK FF with a negative-edge triggered clock input, and a timing diagram showing the pulsetrain waveforms for the clock, J and K inputs, the student was to predict the output of the JK FF.On this item, students scored an average of 4.35 out of 5 points. Again, the average above 80%appears to indicate satisfactory proficiency.Circuits 2
fortwo and three mass systems, a single mass system was chosen for in-class implementation forsimplicity. Two and three mass virtual models are more appropriate for a senior level controlsystems or vibrations elective, and we plan to introduce the virtual laboratories into those classesin 2015. Page 26.1703.4We have also completed a model of the ECP-505 inverted pendulum for use in a senior levelcontrol systems course 38 . The ECP design is unlike other inverted pendulum models in that the (a) ECP rectilinear stage 37 (b) Simulink model of ECP rectilinear stage Figure 1: ECP-210 rectilinear stage and
Appendix 2 - 2014 FGCU/NAACP S.T.E.M. Summer Camp SurveyPart A. DemographyGender: ☐ Female ☐ Male Current Grade: ☐ 9 ☐ 10 ☐ 11 County: ☐ Lee ☐ CollierRace: ☐ American Indian/Alaskan Native ☐American Indian/Alaskan Native ☐ Asian or other Pacific Islander ☐ Black or African American (not Hispanic) ☐ Hispanic or Latino ☐ White (not Hispanic) ☐ OtherPart B. Circle the best (only one) answer that fit best your experience...Scale: Strongly Agree (SA
Paper ID #12775A Problem Based Learning Framework to Assess and Develop Soft Skills ina Linear Programming CourseDr. Heriberto Garcia-Reyes, Tecnologico de Monterrey Heriberto Garcia is a Professor in the Industrial and Systems Engineering Department at the Tecnologico de Monterrey, Campus Monterrey. He received his B. Sc. on Mechanical Engineering and M. Sc. on Industrial Engineering degrees from the Tecnologico de Monterrey (Monterrey, Mexico). He is PhD in Industrial and Systems Engineering from Florida International University. Professor Garcia is coauthor of the book ”Simulacion y analisis de sistemas con ProModel
eighteen in thethermodynamics class. To have a basis for comparison, data was also collected from two otherengineering science classes (with the same instructor and at the same institution as the masterybased dynamics class). Each of these classes enrolled six students.Table 2: Overview of Research ParticipantsCourse HW Grading Campus Instructor Number of Consenting System ParticipantsThermodynamics Mastery Campus A Instructor A 16Dynamics Mastery Campus B Instructor B 5Thermodynamics Traditional Campus B Instructor B 6Strengths
., Bailey, P. H., Carpenter, J., DeLong, K., Felknor, C., Hardison,J., Harrison, B., Jabbour, I., Long, P.D., Mao, T., Naamani, L., Northridge, J., Schulz, M., Talavera, D.,Varadharajan, C., Wang, S., Yehia, K., Rabih Zbib, & Zych, D. (2008). The iLab shared architecture: A WebServices infrastructure to build communities of Internet accessible laboratories. Proceedings of the IEEE, 96(6),931-950.7. Orduña, P., Irurzun, J., Rodriguez-Gil, L., Zubía, J. G., Gazzola, F., & López-de-Ipiña, D. (2011). Adding NewFeatures to New and Existing Remote Experiments through their Integration in WebLab-Deusto. iJOE, 7(S2), 33-39.8. Zubía, J. G., & Alves, G. R. (2011). “Using Remote Labs in Education - Two Little Ducks in RemoteExperimentation
oftheir ideas; (b) Question and Understand: once confronted with opposing views, uncertainty andcuriosity result, which leads to a search for clarifying information about others’ perspectives; (c)Integrate and Create: various elements of different viewpoints are incorporated into a newunderstanding of the problem; and (d) Agree and Implement: action plans are agreed upon andassigned. As might be expected, groups scoring high on CC are viewed as more innovative19 andtend to make higher quality decisions18. Aligning with the previous theories, CC emphasizesleveraging a team’s combined knowledge and mental processing potential through productive
this first flipped iteration were similar to final grades fromthe previous three lecture-format offerings (see Table 4). However, when examining thenumber of students earning a D or F grade, more students from the flipped classroom earnedlower than a C in the course when compared to the average of the three previous courseofferings (p < 0.001( χ2 = 39.53, df = 16). Table 4: Final Course Grades, Fall 2009 to Fall 2012 Percentage of Students Receiving Grade A B C D F Other Fall 2012 12 23 23 24 16 2 Spring 2011
had to study are practised in different companies. To learn those at young age is a all aspects of the new process and business impact. step forward in personal career. A requirement for the project proposal was to provide plan “B” andGenerate alternative engineering evaluations for the company and its functions. Research is largely used by engineers with everyday challengesand managerial solutions and This is very common in our
projector type. The team also needed to decide on resin to purchase. The team wasdirected towards a site called muve3d.net6 for possible resin products by MakerJuice. Afterresearching them, it was decided to use SubG+ resin for the project. Attached below is a briefsummary on the resin properties according to the resource above6: Polydimethylsiloxane (PDMS) friendly, fast curing, low shrink (3.5%) material.The trade-off is higher viscosity (90cP at 25°C compared to SubG which is 12cP), but the benefit of the SubG+ resin is that it holds pigment for longer without as much settling. SubG and SubG+ cures under UV A, B, and C light around 420 nm. You can cure it with a DLP projector, a UV laser, or UV Light Emitting LEDs
. Page 26.68.10Figure 2 – Graphical representation of results from the longitudinal analysis of embeddedquestion scores for objectives O1-O2 (a), O3-O4 (b), O5-O6 (c), O7 (d), concept inventoryscores (e), and overall course grades (f). Page 26.68.11Objective 1 – Statistics, Measurements, and UncertaintyFrom Figure 2a, it is observed that students in the first iteration of the course did not perform aswell as students in later course iterations on questions involving statistics, calibration, anduncertainty. Improvement on such concept and computation questions was improved with thesecond delivery of the course (beginning the Fall 2011 semester). During this
unifyingexplanation which we still use today. Page 26.125.2 A D B C A A B B Figure 1. (Timoshenko, 1953)A still more radical change in scientific understanding can be seen in the difference betweenmomentum and energy equations. Prior to Newton's Principia and his description of energy,understanding of bodies in motion was limited to
the surrounding world (by investigating current power plants) and define problems, opportunities, and solutions in terms of value creation (by integrating technical solution with customer need), apply systems thinking to complex problems (results from using a complex thermal system) and examine technical feasibility, economic drivers, and societal/individual needs (by requiring a cost effective and functional solution). B. Students will develop the ability to effectively communicate, both written and orally, with their team members and the customer. 1. Students conduct the project in teams. 2. To succeed, students need to fulfill commitments to their peers and the customer in a
typically cannot be formed using the snap-cubesEach lab group consisted of 20 students with a range of spatial visualization abilities (Table3). Rather than looking on this as a hindrance, we decided to empower students in variousways. An example of this can be explained through the revolving activity shown in Figure 5.Rather than solely converging on the solution (which is B), students were encouraged todiscuss in pairs or groups why the other three options were incorrect. Students typicallysketched the profile of the objects or created 3D models in SolidWorks. Page 26.286.7 Figure 5 – Looking beyond the solutionWe
. Page 26.127.4BadgingBadging, or microcredentialing, is a process by which students can be evaluated on skills and knowledgeat a more granular level than a whole course. In our current educational model, when an employerreviews the transcript of a student who received a B in a class, that employer cannot distinguish whetherthat student did everything in the course pretty well, or is particularly good at some skills yet unable tocomplete other tasks12. The concept with badges, and why there is increasing interest in the potential usein education, is the ability to measure particular skills that are encompassed in a class.Moreover, badging also works to incentivize students. In Kapp’s The Gamification of Learning andInstruction[14], the argument
://ccddirect.com/index.php?dispatch=attachments.getfile&attachment_id=100[9] FANUC iRVision ONLINE Tool and Documentation. Page 26.530.13 Appendix A: Gripper Design Page 26.530.14Figure A1. Solid model of the gripper Appendix B: Vision Processes 2D single view vision processiRVision detects the position of a work-piece in two dimensions and then offsets that positionrelative to a known robot position so that a robot can find the given work-piece. 2D multi-view vision processiRVision detects the position of a
: Page 26.866.4 1) definitions, classifications, and time-operations of Signals 2) convolution of continuous-time signals 3) Fourier series and transform 4) distortionless transmission and filtering 5) definitions, classifications, and response of systems 6) Laplace transform & representation of systems (e.g., transfer functions, Bode plots, pole- zero plots)We used the text Linear Signals and Systems by B. P. Lathi25 as a common reference for learningand discussing these concepts. Moreover, I recommended the text Signals and Systems MadeRidiculously Simple by Karu26 in order for students to have supplemental reading to support theirown learning.As prior research had shown27, 28, students of CTSS typically
: a) Formulation b) Concept Design c) Configuration Design d) Parametric Design e) Detail Design Key Concepts: a) Form is the solution to a design problem b) Design is the set of decision making processes and activities to determine the form of an object, given the customer’s desired function. 2 Chapter 1 Introduction to Mechanical Engineering Design 3 Chapter 2 Materials. 4 Chapter 3 Shear force diagram and bending moment diagram 5 Chapter 3 Shear force diagram and bending moment diagram 6 Chapter 3 Stress, strain, stress-strain diagram, stress-strain relationships 7 Chapter 3 stresses due to axial load, bending moment, shear force and torsion
follows [3]: 1. The Cloud Provider signs VM with its own private key. 2. The Cloud Provider sends the signed VM to the Verification Engine. 3. The Cloud Provider sends the public key to the Cloud Consumer. 4. The Cloud Consumer sends the public key to the Verification Engine. 5. The Verification Engine verifies the authentication of VM template. Figure 2. VM template authentication using digital signaturesThe potential issues of this approach are: a) The Cloud Provider needs to protect private key from unauthorized use and disclosure. b) The Cloud Provider needs to provide its own public key in a trusted way to each Cloud Consumer. c) The Cloud Consumer needs to protect private key from
, D. R. Brodeur, and K. Edström, Rethinking Engineering Education: The CDIO Approach, 2nd Ed. Springer International Publishing, 2014.[6] P. Phyllis, “Proposal to add a Minor in Engineering Leadership Development,” Maryland, 2007.[7] R. J. Schuhmann, “Engineering Leadership Education – The Search for Definition and a Curricular Approach,” J. STEM Education, vol. 11, no. 3, pp. 61–69, 2010.[8] NSPE, “NSPE Position Statement No . 1752 — Engineering Education Outcomes,” National Society of Professional Engineers, 2010. [Online]. Available: http://www.nspe.org/sites/default/files/resources/GR downloadables/Engineering_Education_Outcomes.pdf. [Accessed: 01-Dec-2014].[9] R. Graham, E. Crawley, B. R. Mendelsohn, W. Paper, B. M. Gordon, M
Paper ID #13086A Concise Antennas Course based on a Single Semester of ElectromagneticsPreparationDr. Steven S. Holland, Milwaukee School of Engineering Steven S. Holland (M ’13) was born in Chicago, IL, in 1984. He received the B.S. degree in electrical engineering from the Milwaukee School of Engineering (MSOE), Milwaukee, WI, in 2006, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Massachusetts Amherst, in 2008 and 2011 respectively. From 2006 to 2011, he was a Research Assistant working in the Antennas and Propagation Laboratory (APLab), Department of Electrical and Computer