, surfaces, and solids.The transformation matrix [T] can be represented as: t 11 t 12 t 13 t 14 t 24 T1 T2 [T] = t 21 t 22 t 23 = t 31 t 32 t 33 t 34 T3 1 t t 44 41 t 42 t 43The 3x3 submatrix [T1] is used for scaling, reflection, or rotation; the 3x1 column vector [T2]generates translation; the 1x3 row vector [T3] produces perspective projection. Figure 11 showsa wedge reflected about xz-plane with the following transformation matrix: − 1 0 0 0
California State University, Sacramento(CSUS). Dr. Heller received his Ph.D. in Electrical Engineering from the University of Nevada, Reno. He teachesa series of robotics and machine intelligence undergraduate and graduate courses at CSUS. Professor Heller isactively involved with research that employs undergraduate and graduate students. His current research project isentitled "Research and Development of an Autonomous Shadow Vehicle." Shadow vehicles are used to protectfreeway maintenance workers. He also has extensive industrial experience that includes the design of large-scalehybrid simulators and the design and development of one of the first high-speed laser printers for mainframes
CONSOLIDATION MODULEBackground A consolidation test is one of the most important soil tests for geotechnical engineering.Engineers use the results from this test to calculate total and time rates of settlement, and makedecisions concerning the type and size of foundation for a variety of civil engineering projects. Atypical laboratory apparatus is shown in Figure 1 Figure 1 A typical consolidation apparatusThe apparatus consists of a loading frame and a cell. The cell comprised a ring to confine the soilsample, a reservoir to prevent drying out of the sample, porous stones for drainage of the porewater, a ring cap to hold the ring in position, and a loading cap to transmit load from the loadingframe to the soil. The loading frame varies
Page 4.426.2measured must support the objectives chosen. If the measures do not indicate clearly whethersuccess has been achieved relative to the stated objectives, then the assessment has not served itspurpose and cannot be used to continuously improve the educational process. A good discussionof a typical development of assessment-outcomes choice was given by McGourty, Sebastian andSwart(8). They finally chose the following main outcome categories for student capabilities:analytical skills, communications, creative problem solving, project management, research skills,self-learning, system thinking, teamwork and technical competence. For each of those a set ofmeasurements and minimum performance requirements was determined. The main
just do this once and forget about it. Sampling is the keyconcept in data collection. In general, you should gather the least amount of data that willgive you the most information. In other words, some assessment methods may requireinput from all sources, other may only require strategically selected samples. Wheneverpossible, use or modify existing data collection opportunities to reduce the burden of datacollection. For example, your university might already be collecting information youneed. You will want to do a project cost analysis (i.e., in terms of materials and time) inconjunction with data collection and, in reality, this may impact how much data you canfeasibly collect
electrical engineering concepts. Industrialinternship for faculty is also in consideration so that the faculty can participate in the design andproduction processes for the real parts. Better lab projects for customized training programscould be developed through this faculty internship. Furthermore, the faculty member couldbecome more effective educator and researcher by increasing familiarity with industrial cultureand technology needs. This increased awareness can be imparted to the students as a part of their Page 4.569.3educational experience and they will be able to make the transition to their industrial careers in aseamless fashion
. Providing an informational repository (that is, "electronic library") for students to use in researching course projects. 2. Giving a centralized starting point for course readings, assignments, and projects.This second point implies that every course should have a home page. This is not merely forthe purpose of distance learning as is often implied. All pertinent course information should beavailable on-line. This serves several purposes. It: 1. answers student questions about current reading and assignments. 2. provides access to assignments (no more "I lost the assignment" excuses). 3. allows students to catch-up after absences. 4. advertises courses to non-students or students
oftransfer process in the freeboard space. Using Engineering Physics, v 11, n 6, 1966.the model the final relation {18} obtained in thisstudy serves as the basis for correlation of the 10. Borodulya, V.A., Kovensky, V.I., Journalexperimental data, analysis of the published data of Engineering Physics, v 46, n2, 1984, pp 276-by other authors, and their comparison. The 280.results of our experiments are the subject of ournext phase of this project. 11. Sedov, L.I., “Similarity and Dimensional Methods in Mechanics,” Moscow, 1965.BIBLIOGRAPHY 12. Borodulya, V.A., Teplitsky, Y.S
updates arepossible and there is no need for a command line interface. Additionally, clicking the Load/run DSKbutton with the mouse downloads the calculated filter coefficients to an attached TMS320C31 DSKand executes this filter. With this program, the student now has a free, powerful, easy to learn anduse software tool that allows for graphical filter design, hardware implementation, and explorationof the “what happens if ...” that we all desire for our students! This program13 has been used forboth classroom demonstrations and filter design projects in both a Junior level signals and systemsclass as well as in a Senior level digital signal processing class
components.This project is developing and evaluating the materials for implementing extensive useof Web-based laboratory learning experiences. Another aspect of the educationalmaterials will be an expert system that will monitor the use of the Web-based laboratorysystem. This system will monitor the performance of the users of the system and givesuggestions and feedback to the users (students) and give reports to the facultymembers.Since 1996, some students in each school term have completed the laboratory portionsof the Controls course by Web connections. At this time, a Web-site presents a series ofdirected assignments for the student to work through and report the results by e-mailwith graphical attachments. The assignments are comprised of tutorial
and B”, parallel to their directions to complete the front view of the vector polygon. Vectors A and B are inseparable, because the point of intersection of vectors A and B is unknown at this time.3. Draw vector C in the top view of the vector polygon next. Make sure its head and tail are aligned between the top and front views. Complete the top view of the vector polygon by placing vectors A and B parallel to their directions.4. Project the point of intersection of vectors A and B in the top view to the front view to separate these vectors.5. To determine the compressions in members A, B and C, construct the true-length diagram with the top view of the vector and the vertical height of the vector for the horizontal leg and
"freshman experience" in the first semester [7]. The three essential attributes identified by theEngineering Deans Council and the Corporate Roundtable of the ASEE [8] for a modernundergraduate program of engineering education, are well reflected in the information presentedthrough CEMR’s recruiting material:• "Relevant" – educational experiences that are relevant to the lifelong career and personal Page 5.127.2 interests of specific students.• "Attractive" – intellectual abilities are stimulated and developed through exciting knowledge, state-of-the-art facilities, and hands-on projects.• "Connected" – regular contacts
wereglad to have “breakfast” in class. As instructor, you have to encourage them to get up duringclass and go for and extra doughnut. There were no breakfast casseroles brought into ThermalDesign. The change in student response on the course evaluations was amazing! It seemed thatthe refreshments changed their whole attitude toward the class. Thy wrote on the evaluationsthat they learned a lot from the project. Some of the positive comments were from students whodon’t even like thermo. The pessimistic view would say that at least on the day that students had to bringrefreshments, they were involved in the class. However, I think it created a better learningenvironment in the classroom. After I attended the Chautauqua short course
Session 1613 Reactor Design With Matlab In a Manufacturing Environment Dr. Charles U. Okonkwo Arizona State University ABSTRACT The motivation for this study arises from a class project in an Alternative Energy courseMET 494. A professor with mechanical processing background taught the course to students withsimilar background during the 1996 fall semester. During the 1996 spring semester, theprofessor’s MET 494 students produced hydrogen in a batch reactor via a methane steamreforming reaction on a nickel catalyst
chemistry and chemical engineering andpostgraduate research degrees in chemistry and materials engineering.In addition to extensiveindustrial and consultancy experience,Josef Rojter has lectured and developed courses inpolymer,materials and chemical engineering.He is currently participating in a project at Monash Page 2.346.8University concerning professional education directions.
costs in the gray edit boxes. Once this is done a Page 2.364.4recommendation report can be printed by clicking the Print button seen on the dialog in Figure 2.The appendix shows the Microsoft Word file used to generate the recommendation report.Notice the identifiers ~P1~ through ~P20~. These are the identifiers that get replaced by the datain the dialog. It is clear from looking at the file that it would be very easy to modify the formatof the report.4. ConclusionThe result of this project is a software application that provides the following features: user-friendly interface, modularity, and customizability. With this software package
of each work task.An example of how this format was followed for the Student Success strategic area is given below:Strategic Area: Student SuccessObjectives: The objectives in this area are to increase student success with regard to retention,mastery of course subject matter, computer skills, general laboratory skills as needed in industry,industrial type development skills (project management, concurrent engineering, industrymethods), PE Licensing, bridging to Master's of Science degree programs, professional societyinvolvement, employment.Opportunities: Little data has been developed with regard to how well students are succeedingas a group or how well they should be doing as a group (i.e. benchmark). For example we knowthat some of our
want at least a casual understanding of chip production and its influence onsociety or environmental engineering students who want to understand the impact of thesemiconductor industry on their field. In both of these cases, the icons would bepresented and explained at the audience’s level followed by the development of the iconsequences to meet the overall goal of the class. BIBLIOGRAPHYProgram for Undergraduate Faculty Enhancement, Directory of Projects, http://www.nsf.gov.“Education and the Workforce for a Competitive Microelectronics Industry,” a panel discussion, AmericanVacuum Society 43rd National Symposium, Philadelphia, Pa, October 1996.“Simple and Quick Turnaround Time Fabrication Process
shear stress.After a brief overview, the instructor ran the program and discussed its operation in terms of theitems displayed and their relation. The monitor display was projected to an overhead screen.Initially, only the input panel and infinitesimal cube were shown. The purpose of keeping thecircle display off initially was that prior teaching experience has given evidence that, whenstudents are presented with the circle simultaneously with the concept of stress transformation,they focus entirely on trying to understand the circle forget its principal purpose. Students wereasked to note the stress vectors’ directions and magnitudes while the cube was rotated throughtransformation angles. The Mohr’s circle window was then enabled and the
thetraditional method. The second experiment was Projectile Motion. Students receiving traditional instructionperformed the experiment using a specially designed projectile launcher made of PVC piping.The projectile, in this case a golf ball, was projected horizontally from a table into a target box onthe floor. Students made use of the equations of motion to predict an experimental value for thehorizontal range of the ball. After making this prediction, students launched their projectilesseveral times to determine an average experimental value for the range. Once the range had beendetermined, students were instructed to return to their data and use the equations of motion todetermine the horizontal and vertical components of the position and
of Engineering, National Academy Press, Washington, DC 1985.4. “Quality of Engineering Education”, Final Report of the Quality of Engineering Education Project, American Society for Engineering Education, September 1986.5. “The National Action Agenda for Engineering Education”, Report of an ASEE Task Force American Society for Engineering Education, Washington, DC, November, 1987.6. “Engineering Undergraduate Education”, Committee on the Education and Utilization of the Engineer, National Research Council, Washington, DC 1986. Page 2.485.6 67. “Engineering
facilitate the future development of complex experiments requiring multiple bus instrument coordination.1 IntroductionThis paper presents the development and implementation of instrument control software foruse in a networked computer environment. The project was motivated by ongoing research ‘This work has been supported in part by the ARPA HBT/ADC program under a contract administeredby the Office of Naval Research Grant N000149311007 and the DEPSCoR program through the ArmyResearch Office Grant DAAH04-94-G-0387 Page 2.50.1 WorkStations Figure 1: Ideal Lab Configurationin the
classtested. A local high school has class-tested the text in its college algebra course. A series of the Page 3.103.1experiments was tested by a team of high school students at a summer institute at HACC. Thefaculty team worked with a publisher as they developed the materials, and potential beta test siteshave been identified to class-test the materials. Development of the materials has been done withthe help of faculty in the mathematics, engineering, and physics departments of the college. Thegrant also includes funds for reviews by faculty in client disciplines, e.g., business and socialscience. The faculty team working on this project has
expressions naturally inMATHCAD are very attractive for DSP applications. It is noted that the so-calledpowerful tools that are available with such courses should be used along with carefulclassroom presentation of difficult and abstract concepts and underlying principles.In Section II we present some theoretical background for filter design and discuss somemathematical preliminaries usually needed in a DSP course. Section III includesMATLAB and MATHCAD examples used in a senior-level course offered at our school Page 3.148.1and a project using the ELF DSP system. Section IV covers conclusions andrecommendations for further studies in this area.II. FILTER
Java language students – and departments – are free from having to dealwith platform constraints. Furthermore, the cost for using Java is minimal as the JavaDevelopment Kit (JDK) can be downloaded free of charge from Sun Microsystems’ Java website (http://java.sun.com).References1. J. K. Estell, “A Simulation Project for an Operating Systems Course,” 1996 ASEE Annual Conference Proceedings, June 1996.JOHN K. ESTELL joined Bluffton College as an associate professor of computer science in 1996. He waspreviously an associate professor at The University of Toledo. He received a BS (1984) degree in computer scienceand engineering from Toledo and received both his MS (1987) and PhD (1991) degrees in computer science fromthe University of Illinois
ofElectronics and Network Analysis. It also seeks to present an educational effort to improvestudents’ retention and quality by engaging students in their studies. Our evaluationcomplements other studies on media-based instruction and student engagement. Cohen et al1found that students learned more from such instruction modes compared to conventional modesof instruction. Powell et al2 also explored this topic and found that such instructional modes hadthe effect of raising the GPAs of the students. Furthermore, Chen et al3 found that enhancingstudent engagement is an essential approach for improving student retention, success andoutcomes.A midterm project was assigned where the class was randomly divided by the professor intoseveral groups (3-4
involves collaboration between Purdue and the University of Karlsruhe in Germany,Shanghai Jiao Tong University in China, IIT Bombay in India, and Monterrey Tech in Mexico.Participating students study and intern abroad, and work on team projects with students atpartner schools. Yet as programs like GEARE develop and mature, questions remain about whatspecific skills and competencies participating students can and should develop. There is also theissue of finding the most appropriate and effectives assessment mechanisms, to insure studentsare achieving these outcomes.One of the more common anticipated outcomes for global engineering education is enhanced
engineeringdisciplines and would help them determine their engineering major or opt out ofengineering if they see fit. The course requires minimal resources but yet challengesstudents with problems that rise above high school projects, introductory college science,and helps students think like an engineer using the problem as the basis for learningmathematics and consequently mastering solution mechanisms.References: 1. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., 2009, "The Wright State Model for Engineering Mathematics Education: A Nationwide Adoption, Assessment and Evaluation," Proceedings 2009 ASEE Annual Conference & Exposition, Austin, TX, June, 2009. 2. Nesbit, S., Hummel, S., Piergiovanni, P.R. and Schaffer
Emeritus of Electrical and Computer Engineering. E-mail: quot@uwyo.edu.David Voltmer, Rose-Hulman Institute David R. Voltmer received degrees from Iowa State University (BSEE), University of Southern California (MSEE), and The Ohio State University (PhD EE). During nearly four decades of teaching, Dr. Voltmer has maintained a technical focus in electromagnetics, microwaves, and antennas. His more recent efforts are directed toward the design process and project courses. He has served in many offices of the ERM division of ASEE and in FIE. Dr. Voltmer is an ASEE Fellow and a Life Senior member of IEEE. E-mail: voltmer@rose-hulman.eduJohn Steadman, University of South Alabama John
AC 2010-282: TRANSFORMING THE ACADEMIC WORKPLACE: ANEVALUATION OF THE ADVANCE PROGRAM IN COLLEGES OFENGINEERING (2001 - 2008)Anna M. Zajicek, University of Arkansas Anna M. Zajicek is a Professor of Sociology at the University of Arkansas. Her scholarship has been devoted to the intersectional nature of social inequalities, discourse, and social change. Her current publications focus on the intersectional nature of social inequalities and the integration of an intersectional perspective across different social science disciplines. Recently, she has been involved in interdisciplinary research projects examining successful strategies to institutionalize programs and policies aimed at the advancement