external issues such as wetland regulations over extended periods of timeprovides an opportunity to establish information libraries that highlight project solutions andcompliance strategies. This opportunity is the basis for the Civil Engineering Resource Library,an electronic case library for civil engineering students and educators.The Resource Library research effort combines two motivating factors; (1) knowledge ofemerging solutions to environmental concerns is essential as increasing emphasis is placed onenvironmental responsibility, and (2) computer technologies should be integrated into theclassroom environment to augment traditional learning techniques. In terms of the former, asenvironmental awareness and responsibility moves to the
bring the measured property closer to the set point. The act of closing the assessment loop or providing feedback to the program willprobably be the most difficult aspect for engineering programs as they implement assessmentplans to satisfy ABET Criteria 2000. Much of the assessment literature suggests that developingand agreeing upon goals is the most difficult aspect for faculty unaccustomed to discussingundergraduate education issues in great detail. However, the eleven goals in ABET Criteria2000, Criterion 3, provide a “default” position for faculty unable to or who choose not to definetheir own set of goals.1 There is also an extensive literature on outcomes assessment measuresused at a variety of schools.2-6 Closing the assessment
Session 3230 Coaching Engineering Design Teams D. Knight, W. Poppen, J.E. Seat, J. Parsons, G. Klukken, A. Glore The University of Tennessee College of Education/College of EngineeringIntroduction At an increasing rate, teams are becoming the primary unit of performance in industrialorganizations.1 In line with this trend, representatives from industry have requested, andengineering educators have responded, that graduating seniors in engineering need to have agreater ability to work in teams2, 3. Although the University of Tennessee, Knoxville provides
has likely been shaped by what theyhave seen and heard through television and Hollywood productions. In almost every instance,they are as surprised about who we really are and how we really live as the American group is ofthem.The Russian visit culminates with a farewell dinner accompanied by many toasts for happymemories, success for the students, and new opportunities for the future. Refer to Table III for adetailed description of the typical VSU schedule in America. Table III VSU Schedule in America 27 Oct 7:00 pm Depart to pick up Russians at airport 28 Oct 1:00 pm Canoe trip and picnic 29 Oct 8:00 am
identical robotplatform with a variety of sensors. The group is responsible for the collaborative design of software tocontrol the autonomous robot to perform various tasks. The course meets 2 sessions per week, and eachsession is 75 minutes in duration. Generally, one of the weekly meetings is dedicated to discussion of Page 3.145.1homework solutions, quizzes, tests, question and answer sessions, and short lectures. Lectures wereprovided on an as-needed basis, and handouts were prepared to supplement material in the requiredtextbook[1]. The other session was generally dedicated to collaborative robot design in the lab.Performance is
had my students in a few courses undertake at least one cooperative learningproject each quarter. This usually involved a team paper project, lasting for two or three weeks. Ialso taught a graduate course in Social Theory for historians of technology with anothersociologist. Since coming to UVA’s engineering school in 1994, however, I have gone c-crazy–cooperative learning projects in every course as well as two consecutive years ofcollaborative teaching with engineering colleagues outside my own discipline of sociology.This paper briefly describes one of my UVa collaborations–why we did it, what we did, and howit turned out. It draws extensively on other publications where the collaboration is discussed inmuch greater detail. 1, 2, 3, 4I
, improved customer satisfaction, and of course higher profits, then whynot institutions of higher education?Tomovic, et. al.1 in a recent research publication pointed out that Congress and many businessleaders believe that the Baldrige Criteria embodies the principles of TQM and support theBaldrige Criteria in the public sector. In fact, “current activities in the Baldrige Office suggestthat the development of additional award categories for the public sector are being seriouslyconsidered. An announcement of a new award category for education is anticipated in the nearfuture.”Whatever one may think of the TQM aficionados’ place in higher education, if their models canlead us to greater accountability, lower costs and higher quality, they will
Connecticut Box U-222 Storrs, CT 06269-3222 Tel: (860)486-0321 Fax: (860)486-2959 E-mail: mcutlip@uconnvm.uconn.eduINTRODUCTION Until the early 1980’s, computer use in Chemical Engineering Educationinvolved mainly FORTRAN and less frequently CSMP programming. A typical com-puter assignment in that era would require the student to carry out the followingtasks: 1.) Derive the model equations for the problem at hand, 2.) Find an appropri-ate numerical method to solve the model (mostly NLE’s or ODE’s), 3.) Write anddebug a FORTRAN program to solve the problem using the selected numerical algo-rithm, and 4.) Analyze the results for validity and
find h(n) or H(ω) that will satisfy and (in mostcases) exceed the minimum requirements given in the specifications statement.There are two important types of digital filters used in practice: Finite Impulse Response(FIR), or non-recursive or feedforward filters, and Infinite Impulse Response (IIR), orrecursive or feedback filters. In literature they are also known as MA (moving average)and ARMA (autoregressive MA) filters, among others. An FIR filter is described by thefollowing difference equation:y(n) = b0x(n) + b1x(n-1) + b2x(n-2) +…….bN-1x(n-N+1) =N −1∑ b x(n − i).i =0 iOne important design method in FIR filters is the so-called windowing technique whichutilizes the Fourier series theory to express the impulse response in terms of
evolution in education to that whichfollowed the development of the printing press 1. That evolution, however, occurred over severaldecades. The current evolution is marked by major developments occurring on a monthly basis.One of the possible forms of the educational resources for the (near) future are stand-aloneprograms that are a primary learning resource for a course. Such CBL materials offer a numberof advantages: self-paced, asynchronous learning, effective multimedia delivery, release ofinstructors to provide more personalized “service”, and even possibly economic advantages [1].This paper describes some CBL courseware for students entering programs in engineering. Atthe University of Alberta, the target courses (ENGG 130 Statics, ENPH 131
. Page 3.153.1Microwave Spectrometer A microwave spectrometer has become a standard tool for the dielectric relaxation studies ofmaterials. A number of investigators have studied the dielectric response using the waveguide orthe resonant cavity technique1-7. In this research, a microwave resonant cavity in the TE011 modeis used as a probe for dielectric studies as a function of temperature and frequency. The detailsof such a spectrometer have been given elsewhere4, but for the sake of continuity a block diagramof the complete system is given in Figure 1. A 2k25 klystron powered by a Hewlett Packardpower supply produces a microwave signal in the x-band of frequencies. The modulated resonantsignal from the cavity is in the form of a butterfly
fairly similar to programming in Basic only without the Read and Writestatements. They are able to complete more assignments and plots of results.COMPUTER MODELS OF CYCLESMarine Power Systems is organized such that the Marine Engineering students do a computerproject consisting of five assignments. One of the five computer assignments is included belowin its complete form as an example, in Table 1. As can be seen in Table 1, the problem isdefined for the students within a realistic range of existing gas turbine operating parameters. Infact, this problem is set up at the design conditions of the navy’s most common main propulsionsystem, the LM2500 Marine Gas Turbine. This fulfills one of the objectives of the project, thatthe project will help
Session 3280 Computer-based Teaching and Assessment in Topics on Basic Physics SHAHLA KEYVAN, XIAOLONG SONG, RODNEY PICKARD Department of Nuclear Engineering, University of Missouri-RollaAbstractThis paper describes an experience in computer-based teaching and assessment in threetopics in basic physics. A module is developed for each topic using the Authorwarecourseware authoring tool. The first module is on fundamental particles, the second onbinding energy, and the third on atom density calculation. These modules are also installed onthe web.Each module has four components: 1
variety ofparameter values and the solution of nonlinear problems without the tedium of table look-up oriteration on the part of the student. The authors' experience using an early version of the book toteach junior-level students in mechanical engineering and in civil and environmental engineeringindicates that the students appreciate the increased understanding that comes with dynamicfigures, the easy access to data, the ability to locate quickly definitions and specific material, and,most of all, the computational facilities.1. IntroductionFluid mechanics is an engineering science of fundamental importance to most branches ofengineering, including aerospace, chemical, civil, environmental, and mechanical engineering, aswell as to some aspects
sequence and style were not changed: there were still two one-computer-based tutorial system to the costs associated with hour lectures per week.traditional tutorial methods. In 1996 and 1997 the computer system was extended to 1 Introduction include an integrated messaging system (Scott 1996b).To evaluate any new innovation in education we must Students could attach a question to a problem, and staff (whoconsider both the ‘input’ to the innovation (for example the
Page 3.152.1Stimulate Competitive Research (WV EPSCoR). This program, funded in part by the National 1Science Foundation, supported programs and proposals that increased or enhanced opportunitiesfor West Virginia undergraduate students to study science and engineering. Statewide funds forthe EPSCoR program averaged about $50,000 per year in this program. Funding SuccessesThe author immediately went about writing grants to secure funding to build a respectable soilslaboratory. A series of WV EPSCoR grants were written and funded from 1992 to 1995, asfollows:Grant #1: Permeability and Consolidation Test Systems $ 8,809.00Grant #2
, and finally an oral presentationalong with a written report. The prototype design projects are:1. Rotating Unbalance: To illustrate how unbalance occurs in rotating machinery and how to damp-outthe vibrations and hence avoid resonance.2. Velocity Transducer: What vibration measurement devices are? How are these made? How do these function? When and how they should and can be used?.3. Three Story Shear building: How structures may oscillate? What are the theoretical, computational, and experimental ways of determining the dominant mode of vibrations? What are the consequences of oscillations at resonance frequency and how to alleviate them?4. Rotating Machinery Diagnostics: How to diagnose the
3.156.1is the core activity, and that all other activities such as testing, procurement, construction, etc. aresupporting or complementary. However to make the design function, or designers, paramount isto deny the reality of most practising engineers. Figure 1, together with the accompanying table,lists the percentage of engineers by job function. Percentage of Engineers by Job Function Exploration Quality Computer Corporate Control Teaching Design
analysis using interactivesoftware packages. This material is included in an introductory computing course or as part of anintroductory engineering course. The introduction to data modeling and analysis (described byShacham et al, 1996) includes the following subjects:1. Basic statistical concepts.2. Discrimination between real experimental data and smoothed interpolated data.3. Using residual plots and confidence intervals for selecting the most appropriate model.4. The dangers of extrapolation, in particular, when a non-theory based model is used.This introductory material is very helpful to the students for modeling and analyzing their owndata. However, they may need more advanced material when dealing with, for example, modelscontaining large
traditional groupwork, inthat most cooperative learning models adhere to the following principles (TheConsortium for Instructional Innovation, 1995):1. The tasks are carefully designed to be suitable for teamwork.2. Positive interdependence and cooperation is necessary for students to succeed.3. Students are individually accountable for learning and participation.4. The role of the teacher changes from being the “sage on the stage” to “the guide on the side,” hence our reference to the etymology of the word pedagogue.Team formation strategy is an important aspect of the cooperative learning process,because successful accomplishment of the exercises depends upon the structure of theteam.Multimedia Educational ApplicationsDuring the past decade
hours defined as “a contact hour (nominal) Page 3.159.2of instruction or presentation.” 2According to the NCEES guidelines “PDH units may be earned as follows:1. Successful completion of college courses.2. Successful completion of continuing education courses.3. Successful completion of correspondence, televised, videotaped, and other short courses/tutorials.4. Presenting or attending qualifying seminars, in-house courses, workshops, or professional ortechnical presentations made at meetings, conventions, or conferences.5. Teaching or instructing in (1) through (4) above.6. Authoring published
-documented benefit to allparticipants. The active and committed efforts of the local building industry and the AGC hasbeen essential to the success of the program. Cooperation from MSU, the students, and the AGCcan further enhance the program to include more students, more employment and more success. ReferencesDubick, R. A., McNerney, R. B. Potts, B. K. (1996). Career Success and Student Satisfaction: A Study of ComputerScience Cooperative Education Graduates. Journal of Cooperative Education XXXII(1):66-74.Stern, D., Finkelstein, N., Stone, J., Latting, J., and Dornsife, C. (1995). School-to-work: Research on programs inthe United States. Bristol, PA: Falmer PressWagstaffe, D. R. (1995
college instruction withconstructive controversy. ASHE-ERIC Higher Education Report, 25. Washington, D.C.: The George WashingtonUniversity.Johnson, D.W., Johnson, R.T., & Smith, K.A. 1998. Maximizing instruction through cooperative learning. ASEEPrism, 7(6), 24-29.Smith, K.A. 1995. Cooperative learning: Effective teamwork for engineering classrooms. IEEE EducationSociety/ASEE Electrical Engineering Division Newsletter. March, 1-6.Smith, K.A. 1996. Cooperative learning: Making "groupwork" work. In C. Bonwell & T. Sutherlund, Eds.,Active learning: Lessons from practice and emerging issues. New Directions for Teaching and Learning 67, 71-82.San Francisco: Jossey-Bass.Smith, K.A. Grading cooperative projects. In B. Anderson & B.W. Speck
references 1 to 4). According to Professor Leifer of Stanford University,"Learning is best done by creating something, a product, that embodies our knowledge. This isproduct-based-learning”. He goes on noting that "PBL is defined as problem oriented, projectorganized learning activity that produces a product for an outsider". [5]A background of the degree program within which this course is taught will first be provided.Then the course structure and organization will be described.Project Management Course at Fort Leonard WoodThe University of Missouri-Rolla (UMR) is one of the four campuses of the University ofMissouri system. The MS degree program in Engineering Management is offered on the Rollacampus and as outreach programs at the UMR
graduation class): 1) Time-resolved Frequency Upconversion (NASA, NSF, DOD, Presidential) Christopher Striemer, ’97. 2) Fourier Optics and Imaging, (NASA, Presidential) Matthew Blasczak, BS ’97, MS ’98. 3) Data Acquisition and Control Software, (NASA, Presidential), Michael Albright, ’97. 4) Java Educational Applet Programming, (NASA), Menq Pan, ’97. 5) Optical Non-destructive Testing, (NASA), Nathan Merkel, ’98. 6) C++ and Java Programming, Matthew Matteo ’96, Ross Padak, Jon Drury, Keith Nowicki Page 3.162.2 ’97. The rewarding experience of working with these students reinforced the
effective in large classes. The strategies help in increasing classparticipation, problem solving, critical thinking, communication, collaborativelearning,attention, and attendance. Over 80 to 90 percent of the students indicate that thesestrategies are useful in enhancing the teaching-learning process in large classes. I. INTRODUCTION Cooperative learning involves students working in groups on problems or projects suchthat it fosters positive interdependence, individual accountability, leadership, decision making,communication, and conflict management skills [1]. Research indicates that cooperativelearning also enhances short-term mastery, long-term retention, understanding of coursematerial, critical