1532, 2002.Biographical InformationJ.W. Bruce received the B.S. degree from the University of Alabama in Huntsville in 1991, theM.S.E.E. degree from the Georgia Institute of Technology in 1993, and the Ph.D. degree fromthe University of Nevada Las Vegas in 2000, all in Electrical Engineering. Dr. Bruce has servedas a member of the technical staff at the Mevatec Corporation and the Intergraph Corporation.Since 2000, Dr. Bruce has been with the Department of Electrical and Computer Engineering atMississippi State University, where he is an Assistant Professor. Dr. Bruce teaches courses onembedded systems, VLSI, and systems-on-a-chip design and was named the Bagley College ofEngineering Outstanding Engineering Educator in 2003. Dr. Bruce
Society for Engineering EducationAcknowledgement The authors gratefully acknowledge the partial support of this work through the Grant-in-Aid Program provided by the American Society of Heating, Refrigerating and Air-conditioningEngineers, Inc. (ASHRAE). The support of this work from the Using Technology for theImprovement of Learning (UTIL) Program provided by the Office of the Senior Vice Presidentand Provost at the University of Oklahoma is also gratefully acknowledged. In addition, theauthors are very grateful to the reviewers for their valuable comments to further enhance thequality of the paper.References1. Kreider, J. F., and Rabl, A., Heating and Cooling Loads, Chapter 7, Heating and Cooling of Buildings: Design for
example of a Page 9.309.1typical student homework problem as well as student assessment data demonstrating the “Proceedings of the 2004 American Society for Engineering Education Annual Conference& Exposition Copyright © 2004, American Society for Engineering Education”effectiveness of the methodology in promoting better understanding of: (1) the DirectStiffness Method itself; (2) the relationship between the Direct Stiffness Method andclassical structural analysis techniques like Slope Deflection and Moment Distribution.I. IntroductionAlthough a computer will undoubtedly provide results much faster than performing oneof the
fromthe fellows, the teachers, and the fellow’s advisors is evaluated. Results indicate that bothapproaches are effective in improving the fellows’ teaching abilities. There is also someindication that the elementary school-based program may have been slightly more effective.IntroductionThe College of Engineering and Information Technology received an award from the NationalScience Foundation’s Graduate Teaching Fellows in K-12 Education (GK-12) Program tosupport fellowships and associated training that will enable graduate students in engineering toserve as resources in K-12 schools1. The University of South Carolina is one of over 100institutions funded by NSF through this program. Some of these awards have been described 2-6and have provided
Session # 3432 Hands on Experiments to Instill a Desire to Learn and Appreciate Digital Signal Processing J. Adams and F. Mossayebi Electrical and Computer Engineering Youngstown State UniversityIntroduction The field of digital signal processing (DSP) is rapidly changing as newdevelopment software along with advancements in hardware technologies has enabled theadaptation of these processors in diverse fields. Today DSP processors, specializedsingle board computers that are designed to efficiently handle computationally intensivesignal processing algorithms, can be found in
technology, students can be given the opportunity to design cus-tom hardware implementations [8]. In addition, FPGAs can synthesize microprocessor coresallowing students to investigate the trade–offs between hardware and software implementa-tions. Page 9.908.1 This system provides a purely digital prototyping and testing platform for implementing Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright c 2004, American Society for Engineering Educationa wide variety of DSP systems. Field–programmable gate arrays (FPGAs) are used tosynthesize the DSP hardware, which
Session 2533 Incorporating ABET “Soft Skills” into Energy Conversion Courses Timothy L. Skvarenina School of Technology, Purdue UniversityAbstractBoth the Engineering Accreditation Commission (EAC) and the Technology Accreditation Commission(TAC) of ABET have adopted outcome-based evaluation criteria. The EAC began the process withearly visits in 1997. TAC began later with the adoption of its Technology Criteria 2000, or TC2K, andconducted its pilot visits in 2001, with full implementation in 2004. In both
Session 1475Teaching vs. Research: Perspectives from a 4th Year Assistant Professor Jason M. Keith Department of Chemical Engineering Michigan Technological University Houghton, MI 49931AbstractThis paper describes the experiences of a chemical engineering assistant professor overthe first four years of his academic career, particularly the balance of teaching, research,service, and outside life. The paper will describe the following topics: ‚" tips for success in the classroom, in the lab, and at home ‚" things that went wrong
. Weimer, J.L. Parrett, and M. Kerns, How am I Teaching? Madison, WI, Magna Publications, 1988. 3. D.P. Hoyt and W.H. Pallett, “Appraising Teaching Effectiveness: Beyond Student Ratings,” IDEA Paper No. 36, Kansas State University Center for Faculty Evaluation and Development, , November 1999. 4. National Research Council, Evaluating and Improving Undergraduate Teaching in Science, Technology, Engineering, and Mathematics, Washington, DC, National Academies Press, 2003. 5. R.M. Felder and R. Brent, “How to Evaluate Teaching,” Chem. Engr. Education, in press (2004). 6. W.E. Cashin, “Student Ratings of Teaching: The Research Revisited,” IDEA Paper No. 32, Kansas State University Center for Faculty Evaluation and
anduse of system level description languages.The technology roadmap from the semiconductor industry and a Dataquest marketanalysis of the EDA (engineering design automation) industry shows that the primarygrowth in the EDA industry will come from ESL (electronic system level) tools. Similarto the digital design tools of the 1990s, the current and future ESL tools will drive the jobmarket in the SoC (system-on-a-chip) domain over the next decade. A major contenderfor a unifying language at this level is SystemC. SystemC is based on the C++ languageand has constructs to support hardware modeling. The language supports multiple levelsof abstraction, a common environment for design and verification, and hardware-softwareco-design. Currently the
program.AcknowledgmentsThe authors would like to thank Deans Stella Pang and James Bean in the college of engineeringfor their support of the GSM program. In addition, the authors would like to thank JenniferKarlin (South Dakota School of Mines and Technology) and Chris O’Neal (University ofMichigan Center for Research on Learning and Teaching) for the hard work they put intoorganizing the program for several semesters and for providing the numerical data presented inthe paper.Bibliography1. Bartlett, T., “The First Thing About Teaching,” The Chronicle of Higher Education, Vol. 5, Issue 5, September 26, 2003, p. A10.2. Wankat, P. C., “Educating Engineering Professors in Education,” Journal of Engineering Education, Vol. 88, No. 4, 1999, pp. 471-475.3
of Technology. He received hisPh.D. from Princeton University in 1989 and his present interests include structural dynamics, structural healthmonitoring, and undergraduate engineering education. Dr. Cornwell has received an SAE Ralph R. Teetor Page 9.794.11Educational Award in 1992, and the Dean’s Outstanding Teacher award at Rose-Hulman in 2000. Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Education
U.S. Department of Education grant that supported this work. Dr. Philpot is theauthor of MDSolids – Educational Software for Mechanics of Materials.RICHARD H. HALLDr. Richard H. Hall is an Associate Professor of Information Science and Technology at the University of Missouri-Rolla. He received his BS degree in Psychology from the University of North Texas and Ph.D. degree inExperimental Psychology from Texas Christian University. He is co-director of UMR's Laboratory for InformationTechnology Evaluation, and his research focuses on design, development, and evaluation of web-based learningtechnologies.RALPH E. FLORIDr. Ralph E. Flori was educated as a petroleum engineer (UM-Rolla Ph.D. ‘87). As an associate professor in theBasic Engineering
IEEE Conference on Computer Vision and Pattern Recognition, pages 586 -- 591, June 1991. Page 9.1330.7RANDY P. BROUSSARDRandy P. Broussard received a BS in electrical engineering from Tulane University in 1986, an MS incomputer engineering from Florida Institute of Technology in 1991, and a PhD in electrical engineering fromthe Air Force Institute of Technology in 1997. He is currently an assistant professor in the Department ofSystems Engineering at the United States Naval Academy where he teaches computer engineering, computervision, and control systems. His research includes the areas of automatic target recognition, neural networks,computer
Session 2158 Sur vey Builder : A Tool to Suppor t Assessment Mar c Hoit 1, Rick Sayer s2, Bill Lewis2, Akhil Kar ker a 2, Nar en Kamat 2 1 -Associate Dean, College of Engineer ing, Academic Affair s/ 2 -Car eer Resour ce Center Univer sity of Flor ida, Gainesville, FLAssessment is a critical component of all educational programs. The need to develop andadminister surveys to a wide variety of audiences is one of the standard techniques used in allassessment programs. One of the major
Engineering Educator in 2003. He is the author orcoauthor on more than twenty-five journal articles or technical publications.Lori Mann Bruce is an Associate Professor in the Department of Electrical and Computer Engineering at MississippiState University, where she is also affiliated with the Remote Sensing Technology Center and Geospatial ResourcesInstitute. Dr. Bruce is a senior member of IEEE, as well as a member of ASEE, Eta Kappa Nu, Phi Kappa Phi, andTau Beta Pi. Page 9.900.7 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright ©2004, American
perspective.In the 2002-2003 academic year, the School of Information Technology and Engineering atGeorge Mason University (GMU) launched an undergraduate bachelor’s degree in InformationTechnology (BSIT). This degree program, headed by an Assistant Dean, is already showinggreat promise, enrolling over 600 students. The challenge to produce security engineers in anundergraduate program further motivated GMU to incorporate a comprehensive securitycurriculum through new IT Security courses into its BS program especially in the Security andNetworking concentration (80% of students in the BSIT have formally declared for this option asof fall 2003). Since the Virginia Community College System already had a Network Securitycertificate program in place for
fairs.DISCUSSIONAlthough this paper describes how the curriculum can be implemented as a full-year course, theunits and activities are modular and can thus be used in a variety of classroom settings. Forexample, a course in robotics could include the machine consciousness unit. In Andam et al.11we describe how elements of the Turing test curriculum were used in a workshop to help preparepre-service middle and high school teachers to integrate technology and engineering into theirfuture classrooms. The workshop was required of all Smith College education graduate studentsand thus was populated by students with varying content specializations. In the workshop thestudents first worked through the Turing test activities themselves, and then they used theactivities to
equation in the spreadsheets. The spreadsheet was created duringa two hour lab session with all lab students present and working together to foster the ability towork in a team. Each student was required to understand how their portion related to the otherstudents’ work. This further enhanced this team building exercise. The spreadsheetdevelopment also helped fulfill a requirement to use computer skills as a component of the class.The lab was comprised of sophomore mechanical engineering technology students.Introduction The author had developed a lab for a sophomore level class involving heat transfer. Thelab analysis was fairly complex and involved thirteen steps and calculations. Students wereusually able to perform the analysis by
School of Computer Science and Louisiana State University in Engineering Shreveport Utah Valley State College Shreveport, LA 71115 Orem, Utah 84058Abstract Since our schools do not offer an engineering program, we teach robotic technology withinour computer science curriculum. In the process of teaching robotics technology to students at agraduate or undergraduate level, it becomes necessary to synchronize more than one robotic armfor the purpose of demonstrating the interaction between robots commonly found in industrialsettings. There are several approaches to doing this. The simplest approach is to connect the
Alberta in 2001 after receiving his Ph.D. fromMichigan Technological University and Bachelors degree from the University of Minnesota (Duluth). His teachingactivities currently include thermodynamics, heat transfer, and reactor design and kinetics.SUZANNE M. KRESTA is a Professor in the Department of Chemical and Materials Engineering at the Universityof Alberta. She joined the faculty in 1992, has won several teaching awards, served as Associate Chair (ChemicalEngineering) and Associate Chair (Graduate), and developed the New Faculty Forums program. Her teachinginterests include fluid mechanics, mixing, process analysis, and design
Java applet technology to create a GUI that runs on a remoteweb-client PC. This GUI allows remote clients using any Java compatible web browser tointeract with our experimental test-bed. The GUI consists of a Java applet, which incorporatesthe functionality of three applet libraries. The first applet library provides functionality for a Page 9.799.12horizontal slider bar. This object is dragged left or right to command the DC motor angular “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright 2004, American Society for Engineering Education”position between
Session 2548 A Systems Approach to Teaching “Introduction to Electronic Communications” for ECET Students James Z. Zhang, Kenneth Burbank, Robert Adams Department of Engineering Technology, Western Carolina University Abstract Traditional electronic communications course in ECET covers a wide range of topics incommunications theory, with the focus on different modulation schemes and the respectivereceivers’ baseband structures and performances. However, it is often found that students donot necessarily grasp the essence of a communications system from a
, optoelectronics, and others. Second are industries that have been newly createdby this technology, such the MEMs, NEMs, nanobiotechnology, and nanoelectronicsstart-ups. A third driving sector is composed of existing major industries that previouslyhave never used micro- and nanotechnology but are now actively embracing it (Siegel,1999). Among these are giants such as the pharmaceutical and chemical industries, andeven more traditional industries like clay and glass. Workers with skills in micro- and nanofabrication are needed at all levels. At themore advanced levels (engineers and above), workers are needed with specialized skills.At the technician level, however, where the majority of new nanofabrication jobs will be,a generic skill set is
undergraduate engineers to design thecomplex circuits that will ultimately be a part of smart communications systems on a single chip.These new technologies are also excellent motivational tools to help students put theoreticalconcepts into a current context. This is especially true in required undergraduate courses likeelectromagnetics (EM) that are heavily mathematics based.The integration of contemporary topics into EM courses is fundamentally different than the useof multimedia assets that help students visualize EM concepts that are quite mathematicallycomplex [1-3]. Contemporary topics that faculty introduce are frequently based on theirresearch or consulting activities. Increasingly, undergraduate students are involved in researchunder the
Finance”. Irwin, Chicago.2 De Neufville, R. Applied Systems Analysis: Engineering Planning and Technology Management, 1990. Mc Graw-Hill Publishing Company, US.3 Black F. and M. Sholes “The pricing of Options and Corporate Liabilities” Journal of Political Economy,1973.Vol. 81, May-Jun pp. 637-54.4 Trigeorgis, L. “Real Options: Managerial Flexibility and Strategy in resource Allocation” 1998 MITPress,.Cambridge, MA5 Samuelson, P. “Rational Theory of Warrant Price”. Industrial Management Review. 1967 6:13,19676 Copeland, T. and V. Antikarov “Real Options: Apractitioner’s Guide”, 2001.Texere, New York, NY. Page 9.214.13
Annual Conference and Exposition Copyright © 2004, American Society of Engineering Education”James A. Wronecki is a designer/educator with diverse experience in academics and digital design medias. Hereceived his Masters of Industrial Design from The University of the Arts in Philadelphia, Pa and served as AdjunctProfessor at The University of the Arts, Philadelphia University, and The Art Institute of Atlanta. Mr. Wronecki isan Assistant Professor of Digital Product Design within the Technology Department at East Tennessee StateUniversity.1 Asimow, M. 1962 Introduction to Design Englewood Cliffs, NJ Prentice-Hill2 KOBERG,D. 1991 The Universal Traveler “A Soft-Systems Guide to Creativity, Problem-Solving & the
Chemical Engineering Division: Assessment of Teams, 3513 paper 832 An Approach to developing Student=s skill in Self Assessment Donald R. Woods and Heather D. Sheardown Department of Chemical Engineering, McMaster University, Hamilton ON L8S 4L7Abstract: Self and peer assessment can be vital parts to any team assessment. Theassessment can be of the overall team or of the performance of team members.Assessment is a judgment as to the degree to which a goal has been achieved. Instudent self assessment, the judgment is made by the student. In this paper the fiveprinciples of assessment are summarized. Assessment is about performance notworth; is based on evidence not intuition
assessment process.Another advantage of formalizing the process in this way is that new faculty members can beintegrated into the teams seamlessly.Finally, since our department administers two programs, outcome portfolio assessment providesa useful tool to understand the differences between these programs. Such comparison highlightsopportunities for program improvement by drawing on the strengths of each program.Bibliography 1. ABET Continuous Program Improvement, Faculty Development Workshop, Montreal, Canada, June 2002. 2. Accreditation Board for Engineering and Technology, “Engineering Criteria 2000”, in How do you measure success, ASEE Professional Books, 1998, pp. 13-16. 3. Soundarajan, Neelam, “Preparing for
Washington in 1999. His research interests include signal and image processing,embedded computer design, and ultrasound imaging. He is a member of ASEE, IEEE, and Tau Beta Pi. Page 9.1192.7Email: george.york@ieee.org Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright ø 2004, American Society for Engineering EducationDANE F. FULLER is an Assistant Professor at the U.S. Air Force Academy. He received his Master of Science inElectrical Engineering from the Air Force Institute of Technology in 1997. His research interests include RADARTarget