/TQM, continuous process improvement (CPI) process. Continuous Process Improvement (CPI) and Metrics Continuous Process Improvement (CPI) is one of the absolutes of quality (Juran 1988). CPI requires measurements and measurements require metrics. Figure 1 represents a typical approach to CPI and the role that metrics play. Page 1.500.1 In 1993, the Stevens Alliance for Technology Management consists of AT & T, Bell Labs, Allied Signal R &T, Exxon R & E,Picatinny Arsenal (ARDEC), Engelhardt (R & D). @!iii’ } 1996 ASEE Annual Conference Proceedings
building, individual accountability, etc.),interaction and depth of learning are excellent. Not only do the students develop their skillsin communications and team dynamics, but they also become more prepared for what they willencounter in industry. The initial preliminary four labs allow the students to reach a common level ofunderstanding. They also motivate the students to brush up on basic concepts. This preparatoryphase is reinforced with quizzes and close teacher-student interactions. All subsequent labsfocus on control issues associated with the solenoid. The four preliminary labs are: Lab 1: Fundamentals: Review of Laplace Transform and exposure to MATLAB/SIMULINK Lab 2: Electrical System: RC Circuit Lab 3: Fluid
method can be defined as a 1st Law method examples of the use of these techniques for air because it examines the 1st Law energy balance for conditioning analysis. each process and for the total cycle, from which the ratio of desired energy achieved (i.e., the net work 1. Introduction from engine) to what is supplied (i.e., the fuel) can be directly determined. Rwog&ing that we live on a ftite planet with limited fuel resources in the ground and with limited The second method requires the 2nd Law and
learned that classifying information by type andpurpose has helped students identify important features, focus on essential information, andorganize it in a useful structure. 1996 ASEE Annual Conference Proceedings Page 1.504.1 What Learning Styles Tell Us About the Perception and Judgement of Information We based our scheme of annotation on the learning styles model related to the Myers-Briggs TypeIndicator (MBTI)1-3 which is based on the works of Swiss psychologist Carl G. Jung's model ofconscious human personality4. This model tells us that
benefits of a CAS approach will be described [1].2 BackgroundThe course, Numerical Methods for Engineers and Scientists, offered by the Department of Mathematicaland Computer Sciences at The University of Tulsa, is taken by graduate students in chemical, mechanical,and petroleum engineering, geosciences, and mathematical and computer sciences. Occasionally there is agraduate student from some other discipline, e.g., business administration. The topics covered, primarilynumerical methods for partial differential equations (pales), include finite difference methods, method ofcharacteristics, and the finite element method.3 Traditional CourseThere is usually a course text focusing on the descriptions and comparisons of methods, i.e., on
resultsin insufficient effort on course assignments. Students today face an incredible range of activities andentertainment options competing for their time. It should be no surprise that this generation of students cannotbe counted on to take full advantage of the educational opportunities presented to them in a traditionalengineering course. Many authors have published papers arguing that today's students are much more strongly motivated andsuccessful with problems that allow them to actually "do" things (See for example, [1-10]). In addition, studentsare motivated best by problems they readily appreciate as relevant and some authors have reported excellentsuccess using audio signals to increase student interest and performance in
placement for the upcoming semester. The fundamental goal of SEEE is to prepare entering engineering and computer science students for therigors of undergraduate study. The objectives of the SEEE program are: 1) to acclimatize students to a commuteruniversity environment and college requirements; 2) to develop a community of learners; 3) to develop skills thatfoster academic and professional success; 4) to encourage students to form valuable ties with undergraduates, facultyand staffi 5) to place students into appropriate mathematics course for the subsequent fall semester; 6) to increaseawareness of engineering programs; 7) to advise and register students for the subsequent fall semester. With the implementation of cooperative
thedevelopmental nature of design education to visitors (i.e. students, parents, benefactors, and trustees) andencourage continuous improvement of the students’ design education.Background -Applications of portfolios in engineering education and the teaching profession provide valuable insightfor developing an institutional design portfolio. Though common practice in many professions, portfolioshave only recently gained acceptance within the engineering profession. For example, some recent work hasdocumented how design portfolios have been used as an assessment tool for student performance inengineering programs. 1 ‘~’3 Not restricted to classroom experiences, portfolios have been used to provideevidence of professional and personal skill
commands which enable the client to readdata from or write data to the server. The server, on the other hand, generally provides a special service forthe client. For example, the server may graph data which is sent from the client or the server may support acommunications link to hardware located on the factory floor. Figure 1 depicts the client/server relationship commonly found in today’s integrated manufacturingenvironments. As shown in Figure 1, the server program “knows” how to communicate to the device. Thedevice could be a single device connected to the computer using an RS-232 point-to-point link or the devicecould be one of many devices connected to the computer via an RS-485 multidrop or LAN. Typical devicesrange from programmable
‘ 1 Session #: 3 5 4 7.— . ..-. .. --– USING INNOVATIVE STUDENT CENTERED LEARNING TO STRENGTHEN AN ET COURSE Donald G. Kelley Manufacturing Engineering Technology Program Arizona State University Tempe, AZ to participate in the International WESTECABSTRACT
-dimensional bar element. The interactive learning tool for finite element method is called FEMur-CAL (FiniteElement Method universal resource Computer-Assisted Learning). This FEM tool does not replace theconventional classroom experiences, but provides supplementary instruction to students who need extra help.The prototype will be integrated into the ‘Learn the Finite Element Method’ component of the Finite ElementMethod universal resource (FEMur). FEMur is a World-Wide Web site maintained by the authors of this paperand its Internet address is http ://amber.wpi.edu/~FEMur. 1. INTRODUCTION The development of the Internet, a network of networks, allows the interconnection of computers
1 .— Session 1532 . . . Using MATLAB in Graduate Electrical Engineering Courses Asad Azemi, Christopher Stook Department of Electrical Engineering Penn State University Great Valley Campus Malvern, PA 19355Abstract. Control system design packages like MATLAB, MATRIXX, Control C
application of design andeconomics principles.1.0 Introduction Interactive multimedia is fast becoming a useful platform for disseminating information in everyaspect of society. Interactive multimedia can be defined as an information system that includes acombination of text, graphics, sound, video, and animation sequences packaged together to form aninteractive visualiaudio presentation of information and knowledge in which the end-user has a direct controlon the flow of the presentation. Interactive multimedia can be used to support employee training, employ asa reference tool, provide powerful presentations, and use as a supplementary teaching tool in education [1, 2,3]. Numerous innovative teaching methods have been used in the past
Module at the SLC rack, counting on operator interface products and support by MMI softwaretools. It was also considered important to use a product that is representative of some industrial needs inMexico. III. LABORATORY DESCRIPTION The laboratory is implemented at the Manufacturing Pilot Plant Area. Ten PCs are used together withRS485 interfaces (PIC) to communicate with 10 Programmable Logic Controllers. The controllers areconfigured with different input/output (I/O) modules, mainly 24 VDC, 120/240 VAC and four analog I/Odevices. A theoretical introductory four hour course and nine practicals were developed. The following figureshows two different workstation layout.Figure 1. Workstation layout. (A
,&$* + b,~$, + b,JJ,+ b,, X; + b2J; + b3J; [1]Where X,, &, and ~ are the independent variables (or factors) varied in the experiments a~d @ , b , etc. arecoefficients or effects determined by regression of the data. This simple polynomial model has been found to bequite adequate for the majority of practical problems. The use of an experimental design assures that enough datais collected to assess the statistical significance of each term in the model so that the “best” model of the data canbe determined. By “best” we mean the simplest model that adequately describes the response surface. The finalmodel (with only statistically significant effects) can then be used to draw whatever conclusions are warranted
faculty.Background of Chemistry of Materials Course At Rensselaer, all engineering students take a common set of core engineering coursesduring their freshman and sophomore years. Roughly five years ago, a two-semester coursesequence was created, namely Chemistry of Materials, that joined elements of previous courses 1996 ASEE Annual Conference Proceedings Page 1.516.1in General Chemistry and Materials Science and Engineering into a unified, two-semestercourse sequence. The two semester course emphasizes solid-state chemistry and materialsproperties 1. It has been taught with faculty from two schools, the Chemistry
production and overhead related costs. Figure1. shows an example of an interface for a specific work center. VM-1 Machining Center Daily Schedule 1298-543 slot 12:00-15:00 Scrap Rates By Job for VM-1 0% 14 % Current Job job 1298-543 Job: 1298-543 2189-243 Process control chart for current job 4302-121 4396-123 UCL 7369-321 8273-763
1 2520 Using the Motorola DSP56002 EVM for Audio Processing in a DSP Laboratory Richard E. Piile Purdue School of Engineering and Technology at IUPUI Abstract The EET department at Indiana University-Purdue University at Indianapolis developed a RealTime Digital Signal Processing course with a practical focus on the implementation of DSP algorithmson a
provided.1 Some believe that in the future our ehildnm will be taught by computers. We disagree. Just by the simple realization of thechanging nature of technology, the need for instructors will in fact increase not demase. Secondly, those who view the future ofinstruction as “computer driven,” fail to see a profession as a practice which has a complex socio-technical component.2 Few, in engineering education, have approached instruction and learning fmm a human factor perspective. This is especially sad forindustrial engineers who are the guadans of this discipline. Page 1.47.1
and a formal course in Multidisciplinary Optimization.12 The ProgramThe POMD program is a twelve-month program directed toward the student who wants an in-depth exposure tothe design process and the multidisciplinary aspects of engineering. Each student will be enrolled in a specificdepartment, and will receive a degree with a major in that discipline. However, the educational experience willbe much broader than the normal research-oriented graduate degree. The essence of the idea behind theeducational program is illustrated in Figure 1, as conceived by Ron Landgraf. This program is essentially a fifthyear of school. To complete the program in twelve months a student will take four courses a
its current state is. The pH-ion meter displayprompts the user with screen messages to select appropriate keypad choices, however, these screen messagescan not be transmitted to the Virtual Instrument and thus the VI is forced to control the meter blind (without anyfeedback as to the response of the meter). As a partial solution to this problem two techniques are used to place the pH-ion meter into a knownstate. A “clear” command is repeatedly sent to the instrument to return it from any nested commands, and a“print” command is used to determine if the meter is monitoring pH, ion, or conductivity on either 1 or 2channels. After the current state is determined commands are sent to the meter to return it to a state to whichfurther
changes are to be expected. We are preparing for training more students with anemphasis on practical applications. This paper presents a virtual learning environment (VLE) project that iscurrently being developed at the University of Louisville. The VLE project has three major components: 1 )multimedia interactive course on the World Wide Web (WWW),2) “studyware” package, and 3) student database. Introduction The evolution of new computer, telecommunication, and multimedia technologies has provided thetools to explore new methods for teaching. However, the development of new technology often out pacesour ability to adopt the new technology. We need to access the educational potential of the new
laboratoryexperiences will be described. I. Introduction.Virtual reality and scientific visualization is comprised of high-performance 3D computer graphicsfor scientific modeling to simulate, train, and experiment in the natural/physical sciences. As wecompete with the Japanese and other industrialized nations developing the sophisticated computervisualization systems, it would be beneficial for computer science students to have the opportunity todevelop software for scientific projects utilizing virtual environments.Virtual Reality (VR) has undergone three basic stages of development. The first stage began withmilitary and warfare simulations under the auspices of DOD and NASA [1]. The second stage, VRgames at
, runtime algorithm codes, live and canned digital imagery, interactive modification of program parameters and insertion of student developed code for certain parts of the tutorial. It aims to translate a research paper in robot vision into a usable and understandable laboratory exercise that highlights the important aspects of the research in a realistic environment that combines both simulated virtual components and real camera imagery. The task the tutorial uses to demonstrate some basic principles of robotics and computer vision is the “pick and place task” which is implemented using a movable robot mounted camera that produces stereo imagery inside a robotic workcell. 1 Introduction The Virtual Vision Lab (VVL) is a project
Session 3532 VISICOMP: The Visible Computer George York and Ruth D. Fogg United States Air Force Academy AbstractAt the US Air Force Academy, we found our students have difficulty visualizing the inner workings of a basiccomputer without some type of training aid. This visualization problem has been noted by others [1][2].Often students are taught computer architecture using a software programmer’s model, along with asoftware tool such as an assembler/simulator. The simulator usually can
media events focused on recruiting community support forcontinuation of the project. The final program, held in early December, featured presentation of several of thelessons developed. Page 1.522.2 1996 ASEE Annual Conference ProceedingsTable 1 - Project Schedule Instructional Schedule - Weeks 1, 2 and 3 Monday Tuesday Wednesday Thursday Friday Orientation Dig. Elect. Lab Curriculum Curriculum Industry
whenever the motion of the stress block is stopped. A included to move the stress block back to its original position, aligned with the x- and y-axes. As the animation proceeds, a number of important teaching points are clearly displayed: c1 Shear stress vanishes on the planes of maximum and minimum principal normal stress. •1 On the planes of maximum in-pane shear stress, normal stresses are equal to each other, and their magnitude is equal to the average of ax and OY c1 The maximum principal planes are always oriented 45 degrees from the planes of maximum in-plane shear stress. •1 The relationship between the orientation of the stress block and the
1 -s . Session 1220 Visualization of PDE Solutions Using Implicit Methods and MATLAB Raymond G. Jacquot, Jerry C. Hamann Electrical Engineering Department University of WyomingAbstract In many engineering curricula the formal techniques of the solution of partial differential equations arenot studied, however, all such curricula examine problems described by such equations. An
, are unable to see the relationship between the unbraced length of the beam and the designflexural strength. The shorter the unbraced length, the more likely the member is to reach its fully plasticstrength; the longer, the more likely the member is to undergo lateral-torsional buckling. The lateral-torsional buckling (LTB) demonstrator (Figure 1) illustrates this behavior clearly. Thedevice consists of a simply supported beam, mounted horizontally in a wooden support frame. The beamconsists of a thin piece of Plexiglas that is stiff about its strong axis, yet very flexible about its weak axis,similar to a wide-flange beam. Mounted on the frame are three fold-down supports that simulate intermediatebracing, much like joists framing into a