Session IIIS ONLINE ANALYSIS OF A RANDOM SIGNAL USING COMPUTER AIDED SYSTEM Jerry K. Keska College of Engineering, University of Louisiana at Lafayette P. O. Box-42972, Lafayette, Louisiana, USA 70506 Raghavender Charupalli Computer Science Department University of Louisiana at Lafayette AbstractThis paper attempts to describe an effective experimental approach to determine
massproperties and finite element analysis. An assembly of parts can be mated together, and akinematics animation of the assembly can be created to demonstrate functionality. The samedigital geometry can be further applied to rapid prototyping in order to create a physicalrealization of the design idea. As needed, 2-D paper documentation of the design can begenerated directly from this same model database. This paper outlines this modern engineeringgraphics computer laboratory sequence and portrays examples of student exercises used in thecourse. Results of a learning outcomes assessment, conducted in Fall 2002, presents results thatdemonstrate the students’ understanding and acceptance of this educational paradigm
Copyright 2003, American Society for Engineering EducationSince the survey was conducted two weeks before the end of semester students did not haveadequate experience with these topics.Student course surveys provide instructors immediate feedback on learning objectives at the endof each semester. For example Table 3-b gives an average score of 3.5 for the statement "I haveutilized computers in solving engineering problems for this course." The average score for thesame item was 2.5 in Spring 2002 indicating that a number of students in ME 3293 did not fullylearn how to use the interactive computer software6 or did not take advantage of utilizing thesoftware in solving thermodynamic problems. Therefore, better instructions for using thesoftware
the Departmentof Mechanical Engineering at Stanford University. He has been a faculty member at The University ofTexas since 1990. Dr. Pandy’s research interests are in biomechanics and control of human movement.Much of his research is aimed at using computer models of the musculoskeletal system to study muscle,ligament, and joint function in the normal, injured, and diseased states.Dr. Anthony J. Petrosino is an Assistant Professor and Learning Scientist in the Department ofCurriculum and Instruction at The University of Texas at Austin. He received his M.Ed. from TeachersCollege, Columbia University (1990) before becoming a member of the Cognition and Technology Groupat Vanderbilt. He completed his Ph.D. from Vanderbilt University in 1998
in the formulation stage (Stage I) of the solution process.Kyaw Aung2 describes the integration of computational tools, in an engineering thermodynamicscourse at Lamar University, in order to emphasize the design and analysis phases of thecurriculum. However, many engineering students find it very difficult formulating a solutionprocedure to solve engineering problems. It is therefore imperative that engineering educators Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright © 2003, American Society for Engineering Educationincorporate some tools of outcome-based learning in order to accommodate a variety of
wish.The purpose of homework is to have you thoughtfully attempt all problems. If there is amisconception or computation error in a problem, you can spend lots of time trying to correct it,without learning much in the process. By allowing regrades, you have the opportunity to haveinstructor feedback on the homework, then look over the problems again. This opportunity tolearn from your mistakes is the primary purpose for the regrade policy, and it also gives yousome pre-exam feedback on how you are doing with respect to the material. Figure 1: Late and Regraded Homework Policy Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at
The University of Texas at Arlington Copyright 2003, American Society for Engineering EducationIn the field of mechanics education, which tend to offer relatively hard classes such as statics,dynamics, and strength/mechanics of materials. PBL is not the only method to enhance students’learning. Indeed, educators have experimented with novel approaches (mostly computer-based)to try to do just that5,6,7,8. However, as mentioned above, PBL is generally considered a morerigorous approach that is proven to enforce concept learning in students. In mechanics courses,this is usually done by assigning design project(s) to groups of students9,10. Such design projectsare by definition open-ended and have no unique answer or
high technology classroom that isemerging with great potential to enhance the learning of engineering students and faculty. Thispaper results from a National Science Foundation funded Course, Curriculum and LaboratoryImprovement Program1 to adapt and implement computer aided problem-based learning (CA-PBL) in Chemical Engineering education at Lamar University, using computer technology. Thiswork was preceded by a funded project at Lamar University to examine the pedagogy and theclassroom design of computer and video aided teaching (CAVAT) in 1990. Computer generated Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington
Sleep Management: A Frontier for Improved Academic Performance James M. Gregory College of Engineering Texas Tech University Xuepeng Xie Computer Science Department Texas Tech University Susan Mengel Computer Science Department Texas Tech University AbstractStudent safety, both in driving and academic performance, depends on successful sleepmanagement. Usually driving and learning through lectures and reading
concepts, such as computer-integratedmanufacturing (CIM), users learned that industrial operations are best automated through theintegration of robots with machines into what is often referred to as a “work cell”. In theseconfigurations, the robots, along with machines that they serve, are treated as a “unified system”.In the last few years, introduction of simple-to-use simulation software has proven to be avaluable tool for the design, programming, and optimization of robot work cells. RoboCellsimulation software is one such simulation software3 . This robot simulation software can be usedon all Windows platforms. This paper discusses a brief approach to learning the technical aspectsof industrial robots through use of educational robot and
applications are very extensive and interdisciplinary. The graduate students shouldespecially be encouraged to learn various applications of contemporary computing techniquesincluding artificial neural network (ANN), genetic algorithm (GA), etc. Civil/construction/architectural Engineering has exercised a rapidly growing interest in the application of neurallyinspired computing techniques. The motive for this interest was the promises of certaininformation processing characteristics similar to those of the human brain. Soft computing (SC)is an emerging approach to computing, which parallels to remarkable ability of the human mindto reason and learn in an environment of certainty and precision. This paper highlights variousapplications of AI in civil
2532, 9 pages.2. N. Swain, J. Anderson, M. Swain, and R. Korrapati, “State-space analysis of linear, time-invariant control systems using virtual instruments,” 2001 ASEE Annual Conference Proceedings, Session 1547, 7 pages.3. L. Sokoloff, “LabVIEW implementation of ON/OFF controller,” 1999 ASEE Annual Conference Proceedings, Session 3659, 10 pages.4. N. Kim, “Process control laboratory experiments using LabVIEW,” 2001 ASEE Annual Conference Proceedings, Session 3220, 15 pages.5. Egarievwe, S., Okobiah, O., Ajiboye, O., Fowler, L., Thorne, S., and Collins, W. "Internet Application of LabVIEW in Computer Based Learning." European Journal of Open and Distance Learning. 2000.6. Travis, J. Internet Applications in
our imagination can be used is appealing. 3. A chance to get a break from structured class & work, as well as a chance to learn about new parts of old devices & how they could be reused. 4. I like creating something that exercises all disciplines: liberal arts, creativity, technical, mechanical, electrical, computers, physics, programming, etc. 5. The current curriculum lacks creativity (with the exception of Interfacing). This creative oriented class would help student come up with interesting ideas or future ventures. 6. The class would have combine student’s artistic nature to make our major more fun and creative. And I love to be creative.Question 4 1. Seniors have more
challenging problems through the use of modern, up-to-date laboratory equipment. In this way, a full-cycle learning experience is realized, through development of an initial idea through the design and construction of a prototype and with the application of feasibility. Introduction One of the key issues, which significantly determines our tools and approach to any problem, is the determination of a process character, if it has a random or deterministic nature, or more realistic, the determination of the composition grade of both components and their significance in the phenomenon composition. Probably the following citation of Heinz Pagel, gives us an important clarification “The randomness at the foundation of
Session IIIS WEB DRIVEN EXPERIMENTATION FOR TWO-PHASE FLOW Jerry K. Keska and Heechan Shin College of Engineering University of Louisiana at Lafayette P. O. Box-42972, Lafayette, Louisiana, USA 70506 AbstractTwo-phase flow introduces a very interesting field to several areas of engineering and science. Thephenomenon brings about numerous applications and benefits, especially in the study of a coolingsystem for highly integrated electronic circuits used in computers, the problem of narrow
Freshman Engineering Courses: Discipline Specific vs. Interdisciplinary Approaches Bonnie Boardman Industrial and Manufacturing Systems Engineering University of Texas at Arlington Lynn Peterson Computer Science and Engineering University of Texas at Arlington AbstractThis paper contains a contrast and comparison between two approaches to introductoryengineering courses. One approach is for each engineering department to offer its own distinctfreshman engineering course
useful to other institutions writing proposals or administering similar programs. Wealso provide a list of recommendations for future programs of a similar nature. IntroductionKnowledge is power. Knowledge plus skills to use knowledge is engineering. Even with thecurrent economy, engineering graduates are still in demand. Thus, it is important for our nationto enable financially needy and minority or first generation college students to completeengineering, computer science, and math degrees. Financially needy students often try tosupplement their financial resources through work. Excessive work while attending collegereduces time available to learn and prepare for exams. Students often try to make up
ready to control the hardware and provide forreal-time fine-tuning of the controller in order to meet the desired performance consideringthe effects of the disturbances and unmodeled dynamics or for experimentation with othersoftware parameters to demonstrate and reinforce learning of control fundamentals.One of the important educational advantages of this environment is the ability provided to thestudent to modify system parameters on the host computer and observe their effect on thehardware dynamically in real-time without having to rebuild and re-download the targetcomputer every time a parameter is changed on the host. In the current experimental setupthere are three reference trajectories: a step, a sinusoid, and a square wave. The student
for Engineering Educationlaboratory, and storeroom for any experimental apparatus. Much of the equipment is used fordemonstration purposes only once or twice each year. Due to cost and space limitations, theaddition of desirable labs involving large-scale hardware is restricted. The possibility exists forvirtual laboratories or computer exercises to fill some of this void. However, students needexposure to actual “hands-on” experiments with hardware to solidify much of what is learned inthe classroom. There is no substitute for practical experience.One such area that would be of tremendous benefit to any thermal- fluids program would be theaddition of a gas turbine laboratory. A gas turbine would be of use in several courses throughoutthe
ethical responsibility;10. an ability to communicate effectively, both orally and in written communications;11. the broad education necessary to understand the impact of engineering solutions in a global and societal context;12. a recognition of the need for, and an ability to engage in, life-long learning;13. a knowledge of contemporary issues;14. an ability to use and apply modern engineering skills, techniques, and computational tools. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American Society for Engineering Education Table 2. Synchronization of Program
ethical responsibility;10. an ability to communicate effectively, both orally and in written communications;11. the broad education necessary to understand the impact of engineering solutions in a global and societal context;12. a recognition of the need for, and an ability to engage in, life-long learning;13. a knowledge of contemporary issues;14. an ability to use and apply modern engineering skills, techniques, and computational tools. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American Society for Engineering Education Table 2. Synchronization of Program
Do Blackboard Accesses Predict a Student’s Final Grade? W. Conway Link, Carlos G. Spaht, II, Rogers Martin Mathematics Department Louisiana State University in Shreveport AbstractThe Blackboard Learning System is a comprehensive e-Learning software platform fromBlackboard Inc. It offers faculty flexible tools to incorporate technology and management intoteaching and learning --- including announcements, course information, staff information, coursedocuments, assignments, email and chat room communication, online assessments, and externallinks. With Blackboard, the instructor can post syllabi, multimedia
Initial Experiences Using an Interactive Classroom Participation System (CPS) for Presenting the Iron Cross Biomechanics Module Ronald E. Barr1 , Justin Cone 2 , Robert J. Roselli3 , and Sean P. Brophy3 Mechanical Engineering Department 1 and Faculty Innovation Center2 The University of Texas at Austin Austin, Texas 78712 Biomedical Engineering Department3 Vanderbilt University Nashville, Tennessee 37235 AbstractThe Classroom Participation System (CPS) is an interactive, computer-based instructional
Energy Conservation and Energy Management,Building System Performance Simulation Techniques, Building System Contracting ProjectManagement, and Internships. IntroductionAs the energy educators and energy consultant in Building Energy Systems Design, the authorscontinue to hear concerns that energy education is still neglected at institutions of higher learning[1, 2]. During the Tri-State Engineering Society meeting in the summer of 2002, one of ourauthors [3] presented a survey about the educational system in three Southern states. Thefindings from this survey indicated that only two of the seventeen Mechanical EngineeringDepartments offer only one technical elective course related to the Heating
; group members will obtain costsfor fabrication and construction from a local steel fabricator. The students can also be required tosubmit their project report, obtained from virtual experimentations, in the form of an Electronic ProjectNotebook, which can be used to enter, retrieve, or query objects, such as text, sketches, images, tables,spreadsheets, and graphs. It offers students all the features of traditional paper notebook, plus thecapabilities to accept multimedia inputs (audio and video clips), and computer-generated images,tables, and graphs. Furthermore, it is an extremely powerful tool for interactive learning andeducational/scientific collaborations. The electronic project notebook will readily be accessibleto all the team members
include the ability to use symbols, learning through observation, planning,self-regulation, and self-reflection [1]. A brief description of each of these humancognitive capacities follows: Ability to Use Symbols: By the use of symbols, humans transform immediatevisual experiences into internal cognitive models that in turn serve as guides for theiractions. Through symbolizing, people also ascribe meaning, form and duration to theirpast experiences. Learning Through Observations: Learning can also occur indirectly by observingother people’s behavior and its outcomes. Individuals’ capacity to learn by observationenables them to obtain and accumulate rules for initiating and controlling differentbehavioral patterns without having to
student designs.Students are divided into teams of ten led by three adults – a team leader who is a workingengineer, a SMU engineering student, and a teacher who accompanied students. Teams areassigned by Visioneering personnel to achieve maximum diversity. No two students on anygiven team are from the same school.Visioneering has grown from 250 students in 2001 to a by-invitation-only audience of 500students in 2003. The diversity of the invited schools ranges from private schools to urbanschools. Each year has its own unique theme that guides the direction of the design contest andexhibits at the tech expo. Visioneering 2001: Computers of the Future Visioneering 2002: Transportation of the Future
threeperson groups, and 2) the inclusion of academically outstanding students and studentswith practical experience increased group performance. They had hoped to draw someconclusions regarding the effect on group performance of the mix of Kolb LearningStyles in the groups, but the distribution of learning styles in the student sample was tooskewed. The Myers-Briggs Type Indicators (MBTI) are discussed by McCaulley4 asrelated to success in working in engineering and design teams. She points out thetheoretical desirability of having a diverse set of indicators represented on a design teamand the fact that N (intuition) and to a lesser extent I (introversion) and P (perceptiveorientation), which support creativity, would be desirable characteristics
Electrical Engineers,” IEEE Transactions in Education, vol. 35, 1992, pp. 240-242.6. A. Weeks, S. Khajenoori, C. Bauer, and H. Myler, “Embedded Microprocessors: A Capstone Course in Undergraduate Computer Engineering Education,” Proceedings, 21st Annual Pittsburgh Conference, Part 3, 1990, pp. 1081-1084.7. E. W. Banios, “Teaching Engineering Practices,” Proceedings, 1992 Frontiers in Education Conference, IEEE, 1992, pp. 161-168.8. Deborah B. Kaufman, Richard M. Felder and Hugh Fuller, “Accounting for Individual Effort in Cooperative Learning Teams,” Journal of Engineering Education, Vol. 89, No. 2, 2000, pp. 133-140.9. H. West, “A Criticism of an Undergraduate Design Curriculum,” Design Theory and Methodology, vol. 31, 1991, pp
anintroductory course to electrical or computer engineering.To attract students and teachers, the Infinity Project focuses on providing a fun, exciting,challenging engineering curriculum. Using basic math and science, students explore the worldof high-tech engineering through hands-on lab experiments and design projects.Business ModelThe Infinity Project comes at a cost of time and money, yet offers a great reward in terms ofimpact. Schools must apply to the program and go through an interview process before beingaccepted into the program. Teachers and schools are screened for commitment and vestedinterest. Upon acceptance, schools must purchase textbooks, technology kits, and professionaldeveloment for two teachers. Efforts have been made to keep costs