the refrigerant chamber (Figure 1). Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering EducationMeasurements are taken when steady-state is reached. The only direct measurements taken arebarometric pressure, mixture gage pressure, mixture temperature, and the refrigerant liquid levelin the nylon tube.Specification 2: Pressure-Temperature Relationship. The objective of this specification is anempirical correlation for the pressure-temperature relationship of the form: p( T ) = a e b / T (1)where the pressure, p, is in
problems at the interface of engineering and biology. a-4 Apply knowledge of math, science and engineering.b) An ability to design and conduct experiments, as well as to analyze and interpret data b-1 Design experiments for hypothesis testing. b-2 Measurement and data interpretation skills from living systems b-3 Basic circuit analysis and troubleshooting skills b-4 Statistical data analysis skillsc) An ability to design a system, component, or process to meet desired needs c-1 CAD skills c-2 Mechanical, fabrication and manufacturing skills c-3 Prototyping skills c-4 Needs assessment skills c-5 Project planning skills c-6 Medical devices design skillsd) An ability to function on multi-disciplinary teams d-1
simplifications they had made. Page 4.26.6 (a) (b) (c)Figure 3. (a) Pressure contours, (b) Temperature contours and (c) Mach Number contours for pulse detonation in a 0.05m diameter shock tube at 0.088 msec.4) Final Class Project – Flow Excited Cavity Noise in Automotive Door Gap (Door Jamb Resonance)The students formed into a group to complete a final project. This project involved basictheories of flow and noise production, computational modeling involving sound pressure wavecalculations, and followed by experimental testing and measurement in Kettering’sRecirculating Wind
experiment. At the start of each workshop the tutorprovides a demonstration of the experimental procedures. The required outcomes from theworkshop tasks were grouped under appropriate headings, thereby defining a set ofcompetencies.The defined set of competencies for the CIM unit were:A. Testing and checkingB. Safe work practices and protection of equipment.C. Manipulative awareness and skillsD. Interpretation of instructions. Knowledge of systemsE. Fault diagnosis and correction.To ensure that the CBA was easy to use the authors elected to use simple binary evaluationcriteria i.e. pass or fail. By example for the unit CIM the check points used for set B ofcompetencies were:B Safe work practice and protection of
,Nathan Kuecks, Steve Shannon, Greg Hilker, Sathya Ganesan, and Fred Jenkins areacknowledged for their work on the robotic air samplers. Jeanne Larson, Jennifer LeMay, TinaDonovan, Susan O’Neill, Dione Mazzolini, Charles Mazzone, and the 1996 class of ENVE 317contributed to preliminary field projects.REFERENCES 1. Gifford, F. A., 1955: A simultaneous Lagrangian-Eulerian turbulence experiment. Monthly WeatherReview, 83, 293-301. 2. Lamb, B., 1985: Atmospheric Tracer Techniques. Washington State University, Pullman, WA, 71 pp. 3. Maiss, M., L. P. Steele, R. J. Francey, P. J. Fraser, R. L. Langenfelds, N. B. A. Trivett, and I. Levin,1996: Sulfur hexafluoride - a powerful new atmospheric tracer. Atmos. Environ., 30, 1621-1629
(b) Building a LEGO robot (c) Programming (d) Asking for help (e) Testing (f) Demo Page 22.53.4 Figure 1: Students in the robotics labObservations and ResultsThe courses Introduction to Engineering and Problem Solving for Engineers are two of the first-year engineering courses. Most students in these courses were new to each other, to the facultyand to the campus. According to the Tinto model13, the more they interacted with theirclassmates and the faculty, the higher the probability they will succeed in
(Take off), estimate the actual cost of the materials, and estimate the dead load of the structure.3. Using a commercial software, like SAP2000, perform the structural modeling of the superstructure of the bridge.4. Input the load cases according to the current code ASCE/SEI 7-05: a. Dead load b. Live load, consider different possibilities to apply the live load. c. Wind load5. Make the load combinations indicated in ASCE/SEI 7-056. Perform dynamic tests to find the natural frequency of the bridge and compare with SAP2000.7. Perform the verification of the steel members. Use the computer program SAP2000, verify the most stressed members with an alternative method.Verification of the drawings and material take-off.In order to perform
l l σ ( j ≠i ) ( j ≠i )Recognizing that (22) and (23) can be written in linear form, we can use matrix notation tocompactly represent the system of equations in terms of a coefficient matrix (A), a solutionvector (b) and an unknown vector (x); Ax = b. n ∂µ l ∂µ 1 v ∂µ 1 v ∂ρ l ∂µ 1 l ∂µ 1 v
Paper ID #39312A Near-Peer Mentoring Framework for a Civil and EnvironmentalEngineering CurriculumMarie Bond, University of Illinois, Urbana-ChampaignProf. Ramez Hajj, University of Illinois, Urbana-ChampaignProf. Jeffery R. Roesler, University of Illinois, Urbana-Champaign University of Illinois Urbana-Champaign Professor, Civil and Environmental Engineering Associate Head and Director of Graduate Studies and ResearchDr. Arthur R. Schmidt III, University of Illinois, Urbana-ChampaignProf. Jacob Henschen, University of Illinois, Urbana-Champaign Professor Henschen completed his B.S., M.S., and PhD. at the University of Illinois Urbana
. Crystallographic databases. International Union of Crystallography, Chester, 360:77–95, 1987. [2] Saulius Graˇzulis, Daniel Chateigner, Robert T. Downs, A. F. T. Yokochi, Miguel Quir´os, Luca Lutterotti, Elena Manakova, Justas Butkus, Peter Moeck, and Armel Le Bail. Crystallography Open Database – an open-access collection of crystal structures. Journal of Applied Crystallography, 42(4):726–729, Aug 2009. doi: 10.1107/S0021889809016690. URL http://dx.doi.org/10.1107/S0021889809016690. [3] Colin R. Groom, Ian J. Bruno, Matthew P. Lightfoot, and Suzanna C. Ward. The Cambridge Structural Database. Acta Crystallographica Section B, 72(2):171–179, Apr 2016. doi: 10.1107/S2052520616003954. URL https://doi.org/10.1107/S2052520616003954
generally had three components.1) First, conceptual questions were asked using a hand-held personal response system (TurningTechnologies, 2020). Most of the questions were carefully chosen to go beyond recall anddefinitions. An example of a conceptual question from the topic of Prerequisites toInterpolation is shown in Figure 5. If a polynomial of degree n has more than n zeros, then the polynomial is A. oscillatory B. zero everywhere C. quadratic D. not defined Figure 5. A typical conceptual question asked via a personal response system2) The second component is where the students solve free-response questions in a think-pairformat (Lyman, 1987). For this activity to work, groups of two students each
course. The grading scheme is summarized bypresenting how each of these three categories of practices were implemented.Rethinking the 0-100% ScaleGrading in this course is based around tokens; 26 tokens are required for an A, 23 for a B, 20 for aC, and so on. Students earn tokens by answering exam questions, completing labs, and/orcompleting mini-projects. The token progression was built around Webb’s Depth of Knowledge, alearning taxonomy that breaks learning into 4 levels, shown in Figure 1 [12]. To earn a C,students must meet all of the level 2 objectives. Level 3 and 4 objectives could be completed toearn additional tokens.Depth of Knowledge 1 (DK1) is recalland reproduce. In the case of Circuit Analysis1, a DK1 skill might be using Ohm’s
2011-12 3 1 1 0 2 2012-13 3 4 1 1 0 2013-14 5 3 1 2 0 2014-15 5 1 1 4 1 2015-16 5 1 2 2 0 Grand Total 29 13 10 10 5Table Nine A and B: Student Success Measure Four: Transfer Major Graduation Rates:While Community College Transfers are the majority of the student enrollees for theBSIT program, their graduation rates are decreasing. (Source: CSUCI InstitutionalResearch Office) All
revisedinstrument of moral judgement,” J. Ed. Psych., vol. 91, pp. 644-659, Dec. 1999.[9] Q. Zhu, C. B. Zoltowski, M. Kenny Feister, P. M. Buzzanell, W. C. Oakes, A. D Mead, “Thedevelopment of an instrument for assessing individual ethical decision-making in project-baseddesign teams: Integrating quantitative and qualitative methods,” in 121st ASEE AnnualConference & Exposition, Indianapolis, IN, USA, June 15-18, 2014, [Online]. Available:https://peer.asee.org/23130. [Accessed: Mar. 29, 2018].[10] J. Rest, S. J. Thoma, D. Navaez, M. J. Bebeau, “Alchemy and Beyond: Indexing theDefining Issues Test,” J. Ed. Psych., vol. 89, pp. 498-507, Feb. 1997.[11] Y. Dong, “Norms for DIT-2: from 2005 to 2009.” Center for the Study of EthicalDevelopment, U. Ala
Engineering Course Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.27181 2. Freeman, S, Whalen, R., Pfluger, C., Sivak, M., Hertz, J., Maheswaran, B. (2016) The Cornerstone Course: Projects and Progress. 2016 FYEE Annual Conference. 3. P.J. Guo, J. Kim, and R. Rubin, “How video production affects student engagement: An empirical study of MOOC videos,” in Proceedings of the first ACM Conference on Learning at Scale, Atlanta, GA, March 2014. 4. Fraley, M. A., & Hamlin, A. J., & Kemppainen, A., & Hein, G. L. (2015, June), Using Pre-lesson Materials and Quizzes to Improve Student Readiness and Performance Paper presented at 2015 ASEE Annual
modern tools skills used inmastery of tools used in the used in the the discipline.modern tools discipline with rare discipline withused in the mistakes or errors. few mistakes ordiscipline. errors. 5 4 3 2 1 N/AOutcome b. ☐Can ☐ ☐Can ☐ ☐Often needs ☐/Performance demonstrate demonstrate an help to apply aIndicator 1. comprehensive ability to apply a knowledge ofDemonstrates ability to apply a knowledge of
evaluation questions we posed to participants. To assesswhether our conference model and structure assisted or impeded our goals the evaluator askedquestions related to (a) extent to which individual sessions provided opportunity forcontributions to conference goals (b) extent to which individual sessions affirmed the value ofparticipants’ input (c) extent to which individual sessions provided new knowledge, insight orunderstanding for the participant (d) overall session impact. Below, we present our participants’feedback to these four questions.At the end of the conference, our external evaluator administered online surveys to collect datafrom participants about their experience in the conference and the value they believed eachsession had with
. Maranzana, F. Segonds, F. Lesage, and J. Nelson, “Collaborative Design Tools: A Comparison between Free Software and PLM Solutions in Engineering Education,” in IFIP International Conference on Product Lifecycle Management, 2012. Springer, Berlin, Heidelberg, 2012, pp. 547-558.[9] C. Pezeshki, R. T. Frame, and B. Humann, “Preparing undergraduate mechanical engineering students for the global marketplace-new demands and requirements,” in ASEE Annual Conference Proceedings. Salt Lake City, USA, 2004.[10] M. J. Gorp, “Computer-Mediated Communication in Preservice Teacher Education,” Journal of Computing in Teacher Education, vol. 14(2), pp. 8-14, 2014.[11] E. A. Fielding, J. R. Mccardle, B. Eynard, N. Hartman, and A. Fraser
., 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
Chemical Engineering Course 455/456 Syllabus,” 2013.10 Shaeiwitz, J. A., and Turton, R., “Educating chemical engineers in product design,” International Journal of Engineering Education, vol. 19, 2003, pp. 153–157.11 Shaeiwitz, J. A., and Turton, R., “Life-long Learning Experiences and Simulating Multi-disciplinary Teamwork Experiences through Unusual Capstone Design Projects,” Proceedings of 2003 ASEE Annual Conference and Exposition, Session, Citeseer, 2003.12 “Program: Mechanical Engineering (ME) (B.S.) - Kansas State University - Acalog ACMSTM” Available: http://catalog.k-state.edu/preview_program.php?catoid=13&poid=3452&returnto=1366.13 Bloom, B. S., Taxonomy of Educational Objectives: Cognitive
) (b) Figure 1. Examples of student designs created in (a) 2014 and (b) 2015.The project took place over a 7 week period (outlined in Table 2). Throughout each week, theengineering design process was a constant theme and lessons were focused on matching steps inthe design process. In addition, groups were required to turn in intermediate design proposalsand group review memos before the final project was due. Table 2. Project Timeline over 7 weeks of the course DATE COURSE CONCEPT STEP IN ENGINEERING DESIGN PROCESSWeek 1 Describe design and constraints of the project Needs
of the LabVIEW perature of the system (b) program front Fig. 4: panel (a) Block diagram for the greenhouse (b) Front panel for greenhouse [1] is shown in Figure 8-24. The measured temperatures were typical best-case scenarios with percent error for overshoot and steady-state operation being approximately 2.96% and 0.1%, ! respectively. ! 8.2 Data Acquisition Case Studies Analysis and Conclusion The results show that the
that faculty now faced students,many instructors feel their interaction with students during problem solving is vastly improved.From the student survey results, it was clear most students preferred faculty use of tablets andDyKnow to traditional chalkboard based lectures. Students and faculty both reported likingTablet PCs but there was insufficient data to support general conclusions about their impact onteaching and learning. An initial comparison of grades from the first year DyKnow and TabletPCs were used to the previous year showed the distribution of A and B grades to very similar.This is probably to be expected, as it would not be expect that measurable change in the moretalented students’ grades would occur. What instructors found
Functions, Trigonometric Functions and Exponential FunctionsL Trigonometric Theorems, Tangent Lines of Circles, Equations of Straight Lines, Quadratic CurvesM Arithmetic Sequences, Differential and Integral CalculusN Surface Vectors, Coordinates in Space, Equations of Lines and Planes, MatricesO Infinite Geometric Series, Limits of Functions, Differentiation, Applications of Differential CalculusP Indefinite Integrals, Definite Integrals and Differential EquationsQ Permutations, Combinations, Binomial Theorem, Statistics Page 10.150.10Appendix B: Typical Kumon worksheet at Level A“Proceedings of the 2005
proper selection of DSP parameters and use ofDSP techniques to provide an accurate guitar tuning such as frequency resolution andsampling rates. To make this paper self-contained, a brief discussion on guitarfundamentals is presented in section II. Hardware and Software selection is presented insection III. Implementation of the guitar tuner using the TMS320C5402 DSP Starter Kit(DSK) is discussed in section IV. The performance of the guitar tuner is evaluated anddiscussed in section V. Conclusions are given in section VI.II. Musical Tuning and Guitar FundamentalsA note is a name given to describe a musical frequency1. The chromatic scale is typicallyused in Western music and consists of the following twelve notes: A , A# , B , C
., Wolfe, H., Scalise, A., and Besterfield-Scarce, M., 1999, “Engineering Attrition: Student Characteristics and Educational Initiatives,” presented at the 1999 Annual Conference and Exposition, Charlotte, NC, June 20-23, 1999. 3. Lam, P. C., Doverspike, D., and Mawasha, R. P., 1999, “Predicting Success in a Minority Enginering Program,” ASME Journal of Engineering Education, July 1999, pp 265-267. 4. Scalise, A., Besterfield-Sacre, M, Shauman, L., and Wolfe, H., 2000, “First Term Probation: Models for Identifying High Risk Students,” paper presented at the 30th ASEE/IEEE Frontiers in Education Conference, October 18-21, 2000, Kansas City, MO. 5. Zhang, G., Anderson, T., Ohland, M., Carter, R., and Thorndyke, B
experimentations over the internet,” (Vancou- ver, BC, Canada), 2011. Academic community;Current status;Cutting edge technol- ogy;Experimental setup;Federal research;Integrated assessment;Laboratory course;Learning outcome;Learning strategy;Real-time learning;Remote experimentation;Remote laborato- ries;Remote location;Research activities;Single computer;Sustainable solution;.[14] F. Coito and L. B. Palma, “A remote laboratory environment for blended learning,” (Athens, Greece), pp. University of Texas at Arlington; Univ. of the Aegean (Inf. and Commun. Syst. Eng. Dept.); Technol. Educ. Inst. of Athens (Department of Informatics); ARRI – Automation and Robotics Research Institute at UTA –, 2008. Blended learning;Data ac
technology-enhancedcurricula for science inquiry. This work is part of The Center for Learning Technologies in Urban Schools, which isworking to make instructional technologies a pervasive part of urban science classrooms. Dr. Reiser received a B.A.in Psychology from the University of Pennsylvania, an M.A. in Cognitive Psychology from New York University, anda Ph.D. in Cognitive Science from Yale University.JOHN B. TROYJohn B. Troy is an Associate Professor of Biomedical Engineering at Northwestern University. He has taught acourse in Systems Neuroscience in the engineering school for thirteen years. Dr. Troy received undergraduatedegrees in Politics (subsidiary Mathematics) and Biology with Physics from the University of Reading and theUniversity
. 167-179, 2007. https://doi.org/10.1080/03043790601118697[14] C. Pezeshki, R. T. Frame, and B. Humann, “Preparing undergraduate mechanical engineering students for the global marketplace-new demands and requirements,” in ASEE Annual Conference Proceedings. Salt Lake City, USA, 2004.[15] E. A. Fielding, J. R. Mccardle, B. Eynard, N. Hartman, and A. Fraser, “Product lifecycle management in design and engineering education: International perspectives,” Concurrent Engineering, vol. 22(2), pp. 123-134, 2014.[16] D. Gerhard and M. Grafinger, “Integrative Engineering Design using Product Data Management Systems in Education,” in E&PDE 2009: Engineering and Product Design Education, 2009.[17] A