Page 3.319.3 LEV EL 1 Engineering G raphics Engineering M anage- Engineering Q uality P roduction P rocesses m ent C ontrol A u to c a d T opD ow n S P C S im A N O V A -T M S p r e a d s h e e ts M ic r o s o ft P r o je c t CA NVA S R obotics and Ergonom ics O perations R esearch A utom ation ErgoEA S E
a y M o r e R e s o ur c e s M o re P ro d u c tiv e L e s s W a s te A d v is in g M o re S a tis fie d S o c ie ty M e n to rin g B e tte r C o m m u n ity Delay D Society D elay
What to Teach in a Freshman Engineering Course? Experiences in the First Year of the Missouri S&T/MSU Cooperative Engineering Program Robert I. Egbert Department of Engineering Missouri State University AbstractThe curriculum in most engineering programs includes some type of freshman level coursedesigned to introduce new engineering students to the various career fields in engineering and tomake the new students aware of some of the university resources available to help them make asuccessful transition to university life. Some programs expand
Page 12.1274.2© American Society for Engineering Education, 2007 Service-Learning in Core Courses throughout a Mechanical Engineering CurriculumAbstractService-Learning (S-L) has been shown to be effective on a large number of cognitiveand affective measures for college students. S-L is a pedagogy in which student learningobjectives and real community needs are met in a credit-bearing course. In engineeringthe integration of S-L into any courses, much less existing core courses in a curriculumdoes not match the penetration in other disciplines. The Mechanical Engineering (ME)Department at the University of Massachusetts Lowell has incorporated S-L projects intocore courses so that every student has at least one
the benefits that faculty mentors gain and what it takesto become a successful mentor.We investigated benefits that faculty members perceived from mentor-mentee relationships in aNational Science Foundation (NSF) Scholarships in Science, Technology, Engineering andMathematics (S-STEM) funded program at the University of California, Irvine. The programaims to support low-income, transfer students who are pursuing baccalaureate of science degreesin engineering. As part of the program, faculty mentor these students through degree completion.To study this mentoring, we performed one-on-one interviews with S-STEM faculty mentors andasked questions that were divided into four subcategories: (1) how the mentors’ identity and pastexperiences shaped
Credit Synapse The Synapse Revealed Graham Johnson 2005 S&E Visualization Challenge Winner Timeline of Budget Preparation• OMB sends guidance letter in Spring• OSTP/OMB sends priority memo for R&D in Spring• Agencies prepare budget submissions-Aug/Sept » EMBARGOED DISCUSSIONS• Agencies submit budgets to OMB/EOP (OSTP) in Sept• Thanksgiving OMB letter to agencies• Rebuttal• Christmas final numbers are locked• Preparation of budget justifications, et al.• President’s budget submitted in February – Agency required to support in public• Congress holds hearings and passes authorization bill by Sept 30!• Agencies began new budget process gathering ideas in March and April
3549 PRACTICAL CONTROL SYSTEM FOR CLASSROOM AND LABORATORY Veng S. Kouch Georgia Southern UniversityAbstract:A practical control system (in which student s test t he fundamental blocks or the whole system) isa useful tool for enhancing understanding in the classroom or laboratory. Control systems builtfor training purposes are not widely available.This paper presents elements of the design, construction and testing of an electro-mechanicalcontrol system. The system is easily built, and provides excellent results. Only basic instrumentsare
bachelor’s degrees may be eager to enter the engineering workforce. However,in many engineering disciplines, individuals have more earning potential and career trajectoryoptions with a master’s degree. In this paper, we identify several categories of barriers and lessonslearned to launching an S-STEM focused on graduate students at a large R1 public institution thatmay be useful to other such programs. These include discussions on recruitment of this specializedpopulation of students into graduate school, especially those from other institutions, can bedifficult because i) there are structural and legal barriers to accessing financial information aboutstudents to identify low-income students and ii) smaller institutions may not have the
. DEVELOPING SKILLS IN PROJECT DEVELOPMENT ABSTRACT By Lucian P. Fabiano New Jersey Institute of Technology INTRODUCTION Today’ s competitive need to develop high quality products has redefined the development role of engineers and engineering technologists . Historically, they have been hired to manage their own technical work activities and have not been expected to take on responsibilities required for overall project success. Today, engineers and engineering technologists assume much broader responsibilities . Responsibility for achieving specific
,thentheydonothavetheopportunitytodemonstratepersistence.ResultsTheresultsareanalyzedbyseparatingtheclassintothreegroupsbasedupontheirpre-testscores,Low(<=70%),Mid(70%=90%).Forcomparison,theresultsoftheearliesttrialsinthegroupfrom2014areshowninTable1,andthelatesttrialinthegroupfromspring2017isshowninTable2. Table1.OverallPerformanceResultsforStudentsof AllTestGroupsinthe2014TrialinElectiveCourseMAE7. Pre Test Pre Test Pre Test Group: Low Group: Mid Group: High All Groups (n=13) (n=17) (n=22) (n=52) Avg. Pre-Test Score 53% s=9.8% 78% s=5.9% 93% s=4.4% 78% s=17.2% Avg. Post-Test Score 61% s=13.2% 87% s=7.9% 90% s=6.0% 82% s=15.0% Avg. Test
. Page 11.395.4The other equation that are used in this VI are equations to calculate the RMS values of voltageand current, the maximum value of current from voltage and impedance information, and the realpower (P), reactive power (Q), and total power (S). Vm Im V m ∠θ vV = ...... I = ......I m = ............(6) 2 2 Z∠θ zP = V I cos θ .........Q = V I sin θ .............S = P + jQ................(7)θ = θ v − θ i ....................................................................(8)The front panel of this VI consists of (a) the user inputs (controls) such as maximum voltage,angle of the voltage, impedance, angle of the
knowledge management systems, suchas, Blackboard [1], and WebCT [2], as well as the distance education systems developed atvarious academic institutions [3-14]. A majority of e-Learning systems concentrate mainly ondelivery of course contents over the Internet with little or no room for interactivity. Interactivity Page 9.192.11 This research is supported by National Science Foundation s Science, Technology, Engineering, and MathematicsTalent Expansion Program under grant #0230425. “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American
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Session 1426 Modular Lumped Mass Experiment Bijan Sepahpour, Elton Clark and Loren Limberis The College of New Jersey Department of Engineering Ewing, New Jersey 08628-0718ABSTRACTA Lumped Mass Experiment is proposed for integration into multiple course curriculums. Thedesign of the associated apparatus has taken into account the factors of cost, safety, ease ofmachining, modularity, reliability, mobility, size, reproducibility and aesthetics. The systemincorporates adjustability for mass, spring constant(s) and damping
2In fact, the domain of integration should be the domain for which both g(t − τ ) and u(τ ) arenon-zero.Participant S59’s response could better illustrate this participant reasoning. Participant S59obtained the same expression that participants S02 and S24 obtained for y(t), but his writtensolution was more elaborate and indicative of the reasoning underlying his response. He wrote: ∞ y(t) = g(t − τ )u(τ ) dτ −∞ −1 2 = g(t − τ )u(τ ) dτ + g(t − τ )u(τ ) dτ −∞ −1
Fellowship at the University of Cambridge, UK. He joined the UIC Chemical Engineering faculty in 1991, and has research interests in fluid mechanics, transport phenomena, applied mathematics and computer simulations - with applications in drug delivery technology.Prof. Jeremiah Abiade c American Society for Engineering Education, 2019 An Integrated Program for Recruitment, Retention, and Graduation of Academically Talented Low-Income Engineering StudentsIn this paper, we summarize the poster presented at the NSF Grantees Poster Session that providesan overview of the S-STEM program. The S-STEM program at the University of Illinois atChicago (UIC) began in 2017 and was developed to provide
torsional spring and torsional damper atthe base is given below (see FIGURE 1). l ml 2s%% - Cs% - Gs / mg sin(s ) ? 0 2 (1) s l Rigid rod – Moment of g inertia about pin: ml 2 3 Torsional spring
of competence ● Validated and reliable student performanceTo answer the Research Question, teaching can be redesigned to support students in transfertheir knowledge and skills by integrating the transfer of learning and authentic assessmentconcepts displayed in Table 1.MethodologyBased on an undergraduate engineering program at the Singapore Institute of Technology,students are exposed to simulations using finite element analysis (FEA) and computationalfluid dynamics (CFD) as part of their Year 1 engineering foundation [15], [16]. In Year 2, thestudents are taught the Mechanical Simulation (M&S) module to learn how to solve ill-structured
have been investigated under different water concentrations. The poolboiling characteristics are highly dependent upon the water volumetric concentration which canrandomly follow two different types of curves when the water concentrations are in the range of5.3 Vol. % to 7.8 Vol. %. This could be attributed to the dynamics and microstructure of thenanoemulsion fluids, however, more study is needed to further clarify the mechanism behindMeanwhile, the addition of phase changeable water nanodroplets can also greatly enhance theeffective heat capacity of the nanoemulsion fluids by upto 70%. REFERENCES[1] Eastman, L. J., Choi, S. U. S., LI, S., and Thompson, L. J., 1997, "Enhanced thermal conductivity throughdevelopment of nanofluids
, and geosciences mobilized bonding and bridgingsocial capital to access academic and professional pathways. Specifically, this case studyinvestigated women in master’s programs participating in a National Science Foundation (NSF)S-STEM program and interdisciplinary community of practice, focused on a wicked problem ofunderstanding and balancing biogeochemical cycles in natural and engineered systems,incorporating a variety of strategies (e.g., mentoring, research opportunities, communityengagement, coursework) to ease transitions into and through master’s programs.Literature ReviewLimited research exists on graduate women in the STEM disciplines. Within the extant literature,we found that women were less likely to apply to graduate school than
questions.The conclusions drawn from this trial run of the initial version were: • The questionnaire functioned as was intended, and with some minor refinements will be even better. • The plot’s scale and the demarcation point between cells were inappropriate and yielded too generous interpretations of style.This initial trial also provided the impetus to create and implement a student version.Second Version(s) of Questionnaire and ResultsA revised version of the instructor self-assessment questionnaire was produced shortly after ananalysis of the ETW respondents. Questions 1, 2, 6, 15, and 17 were edited to clarify the intentof each question. Additional, quantitative type information, was provided to help respondentsdistinguish
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Service-Learning Projects in Environmental Engineering Courses: Models of Community Engagement Activities Tara Kulkarni, Member, ASEE institutions engaged in S-L. For example, the Service Center at Abstract—The curriculum for an introductory environmental the Massachusetts Institute of Technology (MIT) refers to S-Lengineering course was enhanced with the addition of Service- as “a pedagogy that involves the interaction of academicallyLearning (S-L) based
equations. The same control system can bestable or unstable depending on the input parameters into the system. Stability or lack of stabilityof a control system can theoretically be determined by solving the control system differentialequation(s). The differential equation(s) can be solved numerically. A numerical solution of adifferential equation produces numbers that can be plotted but not an expression. The differentialequations can also be solved by classical differential equation techniques. The classicaldifferential equation solution techniques can be supplemented by using Laplace Transform andusing the MATLAB software to expedite the Laplace Transform formulations. Damping level(s)in a vibrating system greatly influence the stability level
to do. However, thediscomfort can be changed. Scientists have found that stimulating the brain from an unpleasantto a happy thought is possible by fooling the brain, even it is temporary. This study focuses onbrain signals during people’ s interaction with non-familiar situations (diluted mode), monitorstheir performance during familiar activity (concentration mode), and analyzes their performance.Cerebral cortex signals are analyzed from the participant using electroencephalography (EEG).The brain can be trained to deal with unexpected scenarios that lead to frustration. This study canhelp improve a person’ s life by training their brain to take proper action to deal with theirdiscomfort.KeywordsElectroencephalography (EEG), Concentrated
at a private, research I universitycompleted surveys asking about their perceptions of norm-referenced exams with means in the 20’svs. those with means in the 60’s.The results overwhelmingly show that students found exams with means in the 20’s—but not thosewith means in the 60’s—discouraging and as evidence of bad and uncaring teaching. Studentsreceiving an “A” for exam scores in the 30’s were unlikely to feel proud of their accomplishment andwere highly unlikely to feel that they had learned what the instructor expected. These same students,however, did feel proud when an “A” was based upon an exam score in the 80’s. Students were alsomore likely to consider cheating and were less motivated to study when the median score was in the20
13.271.7Bibliography 1. Larminie, J.; Dicks, A. Fuel Cell Systems Explained, 2nd Edition, Wiley, West Sussex, England, 2003. 2. Los Alamos National Laboratory fuel cell website, http://www.lanl.gov/orgs/ee/fuelcells/index.shtml, accessed February 2008. 3. J. M. Keith, “A Student-Driven Enterprise in Fuel Cells and Alternative Fuels,” ASEE Conference Proceedings, 2004. 4. J. M. Keith, K. C. Opella, M. G. Miller, J. A. King, G. D. Gwaltney, C. A. Green, J. S. Meldrum, and S. A. Bradley, “Engineering Education in Alternative Energy,” ASEE Conference Proceedings, 2006. 5. J. S. Meldrum, C. A. Green, G. D. Gwaltney, S. A. Bradley, J. M. Keith, and T. F. Podlesak, “Fuel Cell Powered Unmanned
engineering students is difficult; most consider privacyissues enough to squash this idea. The alumni themselves are hard to find. ABET seems to sense the difficulty and our evaluators weresatisfied with our limited survey results.Criterion 3’s program outcomes are a different matter. These are the abilities that students are supposed to have on graduation fromyour program. For example, the a-k outcomes that ABET suggests for a computer science program are: Page 25.90.2a) An ability to apply knowledge of computing and mathematics appropriate to the discipline;b) An ability to analyze a problem, and identify and define
Paper ID #37730WIP: A novel problem-driven learning laboratory course inwhich biomedical engineering students conduct experimentsof their own design to answer an authentic research questionBalakrishna S. Pai (Director of Instructional Laboratories)Ketki Patil (Research Technologist II)Todd Fernandez Todd is a lecturer in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology. His research interests are engineering students beliefs about knowledge and education and how those beliefs interact with the engineering education experience.Paul Benkeser (Senior Associate Chair) Paul J
show the variable substitution in an equation, enter “[ctrl sft .] explicit,ALL”.(The three keystrokes in the brackets are pressed down at the same time. No spaces areincluded in the command line.) This can also be done using the Symbolic window by typingthe name of the variable being solved, clicking on “explicit” in the symbolic window, andthen typing “,ALL”. Example 2 in the Appendix uses “explicit,ALL” in the solution asshown below: PA := SGoil⋅ρ water⋅g⋅h ⎡ P.A explicit, ALL → 0.86⋅⎢998⋅⎜ ⎛ kg ⎞⎤ ⋅⎡9.81⋅⎛ m ⎞⎤ ⋅( 2⋅cm) 3 ⎟⎥ ⎢ ⎜ 2 ⎟⎥ ⎣ ⎝ m ⎠⎦ ⎣ ⎝ s ⎠⎦The gravitational
reference speed is a step signalof amplitude 150 rad/s. The setup has the following block diagrams:The block diagram of the DC Motor in open loop is: V(s) G M (s) (s)Figure 3. Block diagram of the DC Motor in open loop.V(s) and Ω(s) are the Laplace transforms of the applied voltage to the motor and speedrespectively, and GM(s) is the transfer function of the motor.The block diagram of the DC Motor in closed loop is: R(s) + Gc (s) G M (s) (s) 0,0032 - 0,0032Figure 4. Block diagram of the DC Motor in closed loop.R(s) and Ω(s) are the Laplace transform of the reference speed (desired speed) or andactual speed respectively; Gc(s) and GM(s) are