Session 3475 Teaching Lessons from Engineering Feedback Model for New Educators Dr. Ramesh Gaonkar Computer & Electrical Engineering Technology SUNY, Onondaga Community College Syracuse, New YorkAbstract:*The Shannon s communication model is often used as a presentation vehicle in a teaching andlearning environment. The model includes an input, an output, and a receiver or a transmitter.In engineering, we view this model as a open loop system. A classroom lecture by itself
Session 3475 Teaching Lessons from Engineering Feedback Model for New Educators Dr. Ramesh Gaonkar Computer & Electrical Engineering Technology SUNY, Onondaga Community College Syracuse, New YorkAbstract:*The Shannon s communication model is often used as a presentation vehicle in a teaching andlearning environment. The model includes an input, an output, and a receiver or a transmitter.In engineering, we view this model as a open loop system. A classroom lecture by itself
expression. Thereaction rate expression that we will use in this tutorial is from Hermann17 and has been modifiedby removing the reverse reaction rate: mol EB 21874 cal mol p p rEB = −7.491× 10 −2 exp − pEB − Styrene H 2 (3) g cat s kPa 1.987 cal T KP mol K Notice that the reaction rate has units and that the concentration term is partial pressure withunits of kPa.HYSYS
very small number of upperclass transfer students are accepted eachyear, either individually or through formal 3-2 programs established with liberal arts schools.The size of the graduating class at Caltech has averaged 193 over the past 30 years. Admissionsnumbers are generally quite similar. Consequently, we are dealing with small numbers.The Caltech Admissions staff is small, but potent. There is a segment called UndergraduateAdmissions Support (UAS) which coordinates alumni volunteer efforts to help with undergraduateadmission. UAS was started in the mid-70’s. None of the current staff date back to the program’sinception, but they feel that the timing (coinciding with the initial admittance of women to theInstitute) is not mere coincidence
Engineers,such as (l) an ability to apply advanced mathematics through multivariable calculus, anddifferential equations; (m) a familiarity with statics, linear algebra and reliability; (n) an ability towork professionally in both thermal and mechanical systems areas including the design andanalysis of such systems; (o) a knowledge of contemporary analytical, computational, andexperimental practices; (p) a competence in experimental design, data collection, and dataanalysis; (q) a competence in the use of computational tools; (r) a knowledge of chemistry; and(s) knowledge of calculus-based physics.Under the criteria (a-s), Mechanical Engineering Faculty at AAMU are being challenged torevise the course content, depth and perspectives of the
and that of the U. S. born population. These statistics point towards asignificant improvement made for the Hispanics during the past three decades. These gains havenot produced a notable convergence with the level of education in the native-born U. S.population due in part to marked improvements of education in U. S. that outpaced the progressof the immigrant’s. The number of high school educated Hispanic immigrants has doubled, andthe number with less than high school has decrease by one-half.1 These changes produced animproved educational profile of the entire adult Hispanic immigrant population.Statistics regarding Hispanics that attend schools in the U.S. have also improved. More than 80percent complete high school or college; that
line route are shown in Figure 3.Figures 4 through 8 compare daily wind speed changes for a specific time periods at Olga 3 and Olga5 locations. It is interesting to observe wind CF effect during the indicated time intervals. Forexample, Figure 5 shows a wind speed value of 2.0 m/s determined from Olga 3 area at about 3:00am while that of 6.0 m/s was measured from Olga 5 at the same time.Figure 3. The proposed two new wind farms in Olga 3 and Olga 5 locations [19] in North Dakota and detailed wind locations.Figure 4. Comparison of Olga 3 and Olga 5 wind sites data for January 30-Febraury 1, 1995. Figure 5. Comparison of Olga 3 and Olga 5 wind sites data for February 25-26, 1995. Proceedings of the 2003
important to teachthe students the basics of these software programs. As many times the software used in a certaincourse is very specialized, it is not possible to have a course at freshman or sophomore levelintroducing all software do be used during the course of study.The authors advocate for integrating the software learning into the teaching of the subject(s)where the software would be used. The introductory part of the course, usually dedicated toreview of notions taught in prerequisite courses, is the natural time for introducing the software.In this way, all the tools necessary for the successful completion of the course are presented to allstudents, and the mix of old and new material keeps students interested in learning. The
analysis and CAE. He is a member of ASME, ASEE andSEM.RAM S. CHANDRAN is an Associate Professor of Mechanical Engineering at Kettering University in Flint. Hereceived his B.E., and M. Tech degrees from India and his Ph. D., from Monash University, Australia. He activelypursues research in the areas of fluid power servo systems, modeling, simulation and controls.Richard Lundstrom is a Professor of Mechanical Engineering at Kettering University. He received his Ph.D. inDynamic Systems Engineering from the Oakland University in 1984. He specializes in dynamic systems withapplications in automotive chassis, powertrains and advanced machinery. His current work relates to vehicledynamics and vehicle dynamics CAE and objective measurements. He is a
,while in the second procedure the tenure candidate is evaluated annually, and the tenure decisionis made in the sixth year. The appropriate procedure, and any supporting documentation, shouldbe published either in a handbook or on the school’s web page so that the tenure candidate mayaccess it as needed. At the University of Southern Indiana in the Pott School of Science andEngineering (USI Pott S & E) there are two documents titled Faculty Evaluation Procedures forReappointment and Tenure and Faculty Evaluation Criteria for Reappointment, Tenure, andPromotion which spell out in detail the makeup of the T & P committee and the specific criteriaon which the candidate shall be judged. Similar documents probably are in use in every
Engineering Education”Results and DiscussionThe laboratory/CFD project outlined above is conducted by students in teams of two. Anumber of different variations on this assignment are possible. For example, students maybe asked to collect and simulate data for one insert geometry and to focus on acomparison of the experimental and CFD results, as well as on the performance ofdifferent numerical schemes. Alternatively, the emphasis could be on comparing(experimentally and computationally) the performance of the two inserts. In all cases,experimental and computational pressure and velocity data is collected and analyzed.Table 1 lists sample velocity data collected for the original venturi insert at an inletvelocity of 28.45 ft/s. A pitot-static probe
starting pointS and ending point G using a Best-First Search algorithm. The course may contain any numberof intermediate obstacles (I x). The Best-First algorithm, described above, is a goal-directed andknowledge-based algorithm, that is, both S and G are defined prior to navigation of the course.The objective being to move from S to G through a series of obstacles without colliding with theobstacles. The algorithm is implemented by having the robot traverse the Y component of itsgoal vector first. Reaching the Y component of its goal the robot then traverses the X componentof it goal vector. 1In order to reset and initiate all systems the Robot is placed at S and is pointed to the east oralong , what has been designated, the positive X axis. In
”The final equation then becomes: µ = [W * La * R2 * sin θ * (Rc – Rd)] [0.65797 * Rd * Rd * Ld * Rc * R1 * RPM]with units of pounds force seconds per square foot. Students are also given the exercise of unitsconversion from the above viscometer-dependent units to strengthen their understanding of theuniversality of viscosity between measurement systems. Figure 3 – Viscometer Geometry3) Test FluidFor the purpose of calibration a common, published fluid, SAE 30W motor oil is used. (2) It hasthe following viscosity properties; 0.350 Pa s @ 68F and 0.019 Pa s @ 176F. As the spreadsheetbelow shows, performance of this design was shown to be quite good. Deviation ranged
66.4 1.0 Competitive Analysis Physically moving patient 1.0 4.0 1.0 5.0 1.0 5.0 1.0 Target Value 4.0 5.0 3.0 5.0 4.0 5.0 3.0 2 deg min in/s
calculates the sensitivity of the bridge is given.MATLAB script2 file:~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~%This script is the continuation of the script1.Z2=10;Z4=10;Z3=10;Zsource=1;Zdetector=100;Vsource=20;dIdetector=0.1e-3; %smallest detector deflectionZ1=Z2*Z3/Z4 % bridge balance% S=bridge sensitivity S=dI_detector/dZ1, substitute Z1=Z2*Z3/Z4S=-Z4*V_source/(Z3*Z2*Z1+Z1*Z4*Z3+Z1*Z4*Z2+Z3*Z2*Z4+Z_source*(Z3*Z2+Z1*Z4+Z4*Z3+Z2*Z1)+Z_detector*(Z1*Z3+Z3*Z2+Z4*Z1+Z4*Z2+Z_source*(Z1+Z2+Z3+Z4)));dz1=dIdetector/S %bridge resolution~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Let us consider the following bridge components Vsource=20 V, Zsource=1
Tools for Assessing Student Outcomes: Use of Faculty and Student Assessments Ann M. Anderson and Richard D. Wilk Department of Mechanical Engineering Union College Schenectady, NYAbstractWith the adoption of an outcomes-based approach to engineering education, it has becomenecessary to develop methods for assessing students’ abilities to meet program outcomes. In themid 1990’s, a major reform was undertaken in the mechanical engineering curriculum at UnionCollege. This was preceded by the development of a mission statement, program objectives, andspecification
Session #2480 The use of the visual-spatial intelligence in the solution of elementary physics problems. Sallie S. Townsend, Natalie D. Segal S.I. Ward College of Technology at the University of HartfordAbstractThe process of transforming a word problem, the only kind in physics, to a mathematicalrepresentation of that problem uses several of Howard Gardner's Multiple Intelligences.Traditionally, only the verbal-linguistic and logical-mathematical intelligences have beenemphasized. However, the authors have found that solving physics problems requires the
Session 1609 Biomedical Engineering Topics in High School Science Instruction: Initial Development and Field Studies Robert D. Sherwood, Stacy S. Klein Vanderbilt UniversityTheoretical Basis The growth of the influence of cognitive science on the design of instructional materialsin science and mathematics has been substantial over the past twenty years. Early works such asBransford, Sherwood, Vye and Reiser1 summarized research on teaching thinking and problemsolving pointing out important differences between the organization of knowledge by
lower left corner ofthe VI’s panel. The switch toward the middle of the left hand-side of the panel (labeled “AM DSBSC AM”) chooses the type of modulation. If the switch is to the left, AM is employed,which may be expressed by the equation: s (t ) = Ac [1 + Da m(t )] cos ω c t (1)where s(t) is the modulated signal, Ac is the amplitude of the carrier (assumed to be 1 in this VI),Da is the modulation index, m(t) is the baseband (message) signal and ω c (= 2πf c ) is the carrierfrequency. If the same switch is to the right, the double-sideband suppressed carrier (DSB-SC)AM is employed, expressed by: s (t ) = Ac m(t ) cos ω c t (2).Figure 3: Envelope
method.Students gain experience in use of the method and can apply learned principles to optimizeoperation of other engineering equipment. Final results of this study does identify favoredpacking material and in what direction the optimum will reside for conditions of temperatureand scrubber liquor caustic concentration.Introduction. Evolutionary Operation (EVOP) is a statistical method developed forincrementally moving a dynamic process in the direction of some optimum operational point.The EVOP method [1] was introduced in the late 1950's as a field application technique forimprovement of existing industrial processes. In the University of Kentucky ChemicalEngineering undergraduate laboratory, students operate a carbon dioxide scrubber to gaintraining
senior-level undergraduatestudents with a minority of graduate students. The course is a four-credit class, and involvesboth a lecture and a laboratory component. The lectures, however, do not introduce any newfundamental principles in the fluid and thermal sciences. Instead, the lectures serve to reviewand apply principles that have already been taught in introductory classes in thermodynamics,fluid mechanics and thermal energy transport. The laboratory component is strictly gearedtoward design, synthesis and evaluation, utilizing knowledge, and comprehension learned inprevious courses.The Fluid and Thermal System Design course was instituted in the 1970’s to be the primary fluidand thermal design experience for graduating seniors. As a four
LAN to the central control. Thelink between the I/O and the central computer is an H2 LAN. This second FF LAN, called H2, is a high-speed fieldbus communications mode,which serves as a backbone for the H1 segments. The H2 backbone can operate at 1, 2.5,or 100 Mbits/s. The H2 network speeds are useful for transferring data between the smartfield devices and other production hardware like programmable logic controllers (PLCs)and process analyzers. The H2 LAN permits access to the fieldbus structure from anycomputer on a plant intranet, and gives process engineers and production planners directaccess to process data and the ability to program the system from remote locations.Laboratory Software ImplementationThe process control laboratory
lateral surface area of the cone. In order to avoid thecurvatures, the area is restricted to a frustrum as shown in Figure 3. The frustrum can bedrawn over as much of the cone as possible while avoiding curvature in the lateral sides.This typically results in use of about 3/4 of the total cone height. Considering only thatportion of the total volumetric flow passing through the lateral surface area of thefrustrum, Dery (2) derived: Su = 2 u g ( r2 − r1 ) 1 − ( r22 + r12 ) (4) s 2R 2 where r1 and r2 = radii of the top and
Session 2377 Development of a PhD Radiochemistry Program at the University of Texas at Austin S. Landsberger, D. J. O’Kelly Nuclear Engineering Teaching Lab Department of Mechanical Engineering University of Texas at Austin and L. Katz Environmental Engineering Program Department of Civil Engineering College of
characterized with the adoption of CAD/CAM systems to automate (orpartially automate) company’s design and manufacturing activities.As a historical background, Computer Aided Drafting and Design (CADD) was introduced in themid 50’s by the American Air force to aid the military radar system and was accelerated by theinvention of sketchpad systems by Ivan Sutherland at the early 60’s [5]. Initially the R&D costsfor CAD/CAM systems were very high and requires high investment cost. It also requiredextensive training and sophisticated hardware and software that were not available for smallcompanies. By the end of the 1970’s and beginning of 1980’s many companies started to realize
2002 Page 8.949.2 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education Session 2286The prospects for the future will not improve naturally since a large number of baby boomers areapproaching their 60’s in the next decade (Barton, 2002). The next generation of workersentering the labor force is
University (WSU), the Undergraduate Research Council funds up totwelve proposals each semester. All undergraduate students, except graduating seniors, areinvited to submit research proposals for competition. The proposed research project must besponsored by the faculty and involve the undergraduate working in collaboration with a facultymember. Each proposal, limited to four pages, must include a project description, researchproblem(s), roles of the faculty and student, proposed project duration, budget justification, and aletter of recommendation from the faculty. A budget of $2,000 is available for the student, eitheras a tuition or stipend, and $500 is available for justified research cost. At the end of the projectperiod, the student or the
Page 8.628.2operation.“Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, CopyRight 2003, American Society for Engineering Education” For a three phase inverter, the transfer function (T) is composed of three independentswitching functions and is given by, T = [S 1 S2 S3] (1) The switching functions are Fourier Series representation of the switching sequence usedfor PWM control of the inverter switching devices. Mathematical representation of switchingfunctions are given by, ∞ S1 (ωt ) = A0 + ∑A n sin( nωt ) n =1 (2a) 2π S 2 (ωt
Copyright © 2003, American Society for Engineering EducationREFERENCES1. McCord, M. G., Blanchard, S. M., Mente, P. L., Nagle, H. T., and Spurlin, J. E. “Outcomes Based Curriculum Development in a New and Emerging Biomedical Engineering Program,” Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition2. Blanchard, S. M. and Carter, M. P. Helping biomedical engineering students develop Internet literacy. Int. J. Engng. Ed., vol. 15, pp. 270-275, 1999.3. Blanchard, S. M. and Carter, M. P. Writing for the web: Student authors and authorities. Paper presented at 30th ASEE/IEEE Frontiers in Education Conference, Paper F2G-6, Kansas City, MO, 2000.4. Soloman, B. A. and Felder, R. M. Index of Learning
. Thispredictive modeling exercise was a useful experience for the undergraduate designers.Future work with the user interface will include presenting the thermodynamic properties,processes, and cycles in the form of P-v, T-v, and T-s diagrams. This will visually allowthe students to recognize works being performed, heats being transferred, and other vitalfunctions of the refrigeration system.5. Conclusions:The air conditioner laboratory system described in this paper is a simple, real lifeapplication for demonstrating basic thermodynamics processes and principles. The dataand GUI is accessible over the web, which allows the system to be used for at homelaboratory experiments and classroom demonstrations. It was fairly inexpensive, ascompared to $25,000