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Jianping Yue; Daniel M. Chen

, and comparison of differentinstitutions and student populations.Bibliography1. Baartmans, B. G. & Sorby, S. A. (1996). Introduction to 3-D Spatial Visualization. Prentice Hall2. Battista, M. T. (1980). Interrelationships between Problem Solving Ability, Right Hemisphere Processing Facility, and Mathematics Learning. Focus on Learning Problems in Mathematics, 2, 53–60 Page 6.394.6 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright  2001, American Society for Engineering Education 3. Battista, M. T., Wheatley, G. H., & Talsma, G. (1982). The

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Edgar Conley; Linda Riley

Engineering Education Annual Conference & Exposition Copyright  2001, American Society for Engineering EducationAppendix 1 – Sample Project HandoutME166/IE152 Fall 2000 – Design Project III FROM EARTH TO THE MOON, ETC. – Jules Vern CatapultObjectives of the Design Project 1. Develop creative thinking skills 2. Practice teaming skills a. Developing consensus b. Understanding team member competencies c. Defining the steps associated with completing the assignment d. Assigning task responsibilities to each team member e. Preparing team documents for submission f. Creating a “team” product g. Understanding the concept of concurrent

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Jon Dixon

achieved by nearly countless methods and designs, ranging from thetraditional corkscrew to air injection devices. Each represents a different productfulfilling a single function. What is critical to customers is function.Products and services are developed most often somewhere between the extreme cases ofpure market pull or pure technology push. Figure 1 illustrates the continuum. C A) Market pull B) Technology push Figure 1. The “market pull” versus “technology push” continuum.In Figure 1, A) represents an extreme market pull approach to satisfying customers. B)represents the extreme technology push approach. Products assume a location on

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Natalie Mello

Session 2560 Managing Global Experiences for Engineering Students Natalie A. Mello Worcester Polytechnic InstituteAbstractWorcester Polytechnic Institute (WPI) has long embraced a project-based curriculum that nowextends to the four corners of the globe. With established programs in Europe, the Far East,Latin America, Australia, the US and new initiatives in Hong Kong and Taiwan, WPI providesopportunities for undergraduates to complete meaningful off-campus experiences. WPI offersstudents the freedom to complete degree requirements away from campus in a professionalexperience under the

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Sunday Faseyitan; Robert Myers; Pearley Cunningham; David Huggins; Winston F. Erevelles

Huggins is an Associate Emeritus Professor of Engineering at Penn State New Kensington. He also serves asa co-PI for PRIME. He has 32 years of teaching experience in engineering and has extensive experience in thearchitectural profession in the field. He has worked as a consultant, partner, and owner at Design Consultants, Inc.,Architects. Mr. Huggins earned a B. Arch. Degree from The Pennsylvania State University and a City PlanningCertificate from the University of Florence, Italy.PEARLEY CUNNINGHAMPearley Cunningham is a Department Head and Professor of Engineering Technology and Physics at the CommunityCollege of Allegheny County. He also serves as a co-PI for PRIME. He has 28 years of teaching experience inengineering technology, controls

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Shawn Gross; David Clarke; David Bentler; Joseph Hitt; Janet Baldwin; Ronald Welch

Dakota State University in 1992, andM.S. and Ph.D. degrees in Civil Engineering from Virginia Tech in 1993 and 1998, respectively.DAVID B. CLARKEDr. David B. Clarke is an Assistant Professor at Clemson University where he specializes in transportation. He Page 6.1003.13received the B.S.C.E., M.S., and Ph.D. degrees from the University of Tennessee. He is a registered ProfessionalEngineer in Tennessee. Dr. Clarke was previously the Director of the Transportation Research Center at theUniversity of Tennessee, where he managed the Tennessee Department of Transportation research program. Proceedings of the 2001 American Society for

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David Schmidt; Gregory Plett

/ DAC2 DAC/ Standard PC Hardware Breakout Box MagLev Power Amplifier MagLev Plant Figure 4. Pictorial representation of system setup including hardware and software integration.The final lab setup comprises the following hardware for each workstation: One ECP MagLev“plant-only” unit, one Pentium-III class computer with a ServoToGo Model 2 I/O board, oneComdyna GP-6 analog computer, one Protek 3003B dc power supply, one Protek B-803 sweepfunction generator and one each Agilent HP-3468B multimeter HP-54602B digital oscilloscope

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Denny Davis; Larry McKenzie; Steve Beyerlein; Michael Trevisan

.The project defined three dimensions of the design learning domain that are fundamental toteam-based engineering design: (a) design process, (b) teamwork, and (c) design communication.Students must master these three to be successful. Competencies to be obtained by studentsentering -- junior-level engineering programs (mid-program) are specified within each domain.A three-component assessment is used to monitor student design capabilities at mid-program5.The first component is a set of short-answer constructed response (SCR) tasks that assessstudents’ foundational knowledge about the design process, teamwork and designcommunication. Second, a performance assessment (PA) engages students in a team designactivity. Students produce written

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Kristen Larson; Jeffrey Newcomer

Teachers to Teach Engineering – T4E,”Journal of Engineering Education, Vol., 89, No. 1, Jan. 2000, pp. 31-384. Kelly, V. M., “Time Out For Some Timely Advice,” ASEE Prism, September 1995, pp. 30-335. Greene, T. J., and N. E. Van Kuren, “Preparing for Promotion and Tenure,” ASEE Prism, March 1997, pp. 26-296. Hoback, A., and U. Dutta, “Faculty Experience,” Journal of Engineering Education, Vol. 88, No. 3, July 1999,pp. 269-2737. Wankat, P. C. and F. S. Oreovicz, Teaching Engineering, http://www.asee.org/publications/teaching.cfm8. Hauser, D. L., E. S. Halsey, J. M. Weinfield, and J. C. Fox, “What Works & What Doesn’t in UndergraduateTeaching,” ASEE Prism, November 1995, pp. 21-259. Panitz, B., “Stuck in the Lecture Rut?,” ASEE Prism, February

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Ranji Vaidyanathan; Todd Anderson; Ray Umashankar; Ramesh Sharma; Marlene Platero; Greg Artz; Chris Choi; Al Ortega

Aerospace and Mechanical Engineering at UA. Dr. Vaidyanathan received a Ph. D inMaterials Science and Engineering from N.C. State University, a M. S. degree in M.E. from North Carolina A&TState University, and a B. S. degree in Metallurgical Engineering from Banaras Hindu University in India. Page 6.914.8Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright©2001, American Society for Engineering Education

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Michael Hailey; James Fridley; Jens Jorgensen; Ann Mescher

, Page 6.1076.17Nov. 25, 1996. p.1(2).“Proceedings of the 2001 American Society for Engineering Education Conference & Exposition Copyright2001, American Society for Engineering Education”6 Montplaisir, L., (1997) "An Integrated CSCW Architecture for Distributed Project Planning."Proc., 6th Industrial Engineering Research Conference, pp.364-368.7 Pena-Mora, F., & Hussein, K., (1999) “Interaction Dynamics in Collaborative DesignDiscourse.” Computer-Aided Civil and Infrastructure Engineering, Vol.14, No.3, pp.171-185.8 McNeese, M., Zaff, B. S., Brown, C. E., Citera, M., & Wellens, A. R., (1992) “Role of aGroup-Centered Approach in the Development of Computer Supported Collaborative DesignTechnologies.” Proc. Human Factors Society, Vol

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Charles Forsberg

spent by thestudents in the computer labs or in group discussions. Table No. 1 - Course Segments I) Lecture (4 weeks) a) HVAC fundamentals b) Heating and Cooling Loads c) Estimation of Energy Usage of Buildings d) Duct Design e) Selection of HVAC Equipment II) Individual Student Projects Using Computer Software (4 weeks) a) Duct Design for a Commercial Building b) Estimation of Energy Usage for a Building III) Group Design Project (6 weeks) Design of an Air Conditioning System for an

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Scott Midkiff

. 3. 4. 5. A. Strong research capability and in-depth technical knowledge ' ' ' ' B. Integrate technical, business, regulatory and global issues ' ' ' ' ' C. Distributed, culturally diverse, multidisciplinary teamwork ' ' ' ' ' D. Effective communicators and effective teachers ' ' ' ' E. Ethical and professional conduct ' ' ' ' ' F. Involve women and underrepresented minorities

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Rebecca Sidler Kellogg; J. Adin Mann; Ann Dieterich

to define the criteria by which the report is evaluated,so that students know ahead of time what is important and how the instructor defines excellent,average, poor, or unacceptable work. A great deal of the subjectivity in grading is removed whencriteria are explicitly defined. Thus, the rubrics are intended to provide the students with morefeedback and a better understanding of the quality and acceptability of their work. In the rest ofthe paper, the rubrics for the aerospace instrumentation lab will be discussed.Laboratory Course Rubric Content and ImplementationRubrics were written for laboratory reports, oral reports, and laboratory notebooks. Thelaboratory report rubric evaluated the categories in (A) Objective Statement, (B

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Wayne Krause; Chenoa Jensen; CASEY ALLEN; Michael J Batchelder; Daniel F. Dolan

understood and accepted by the entire group. 2. A results-driven structure (i.e. members had clear roles and accountabilities and there was an effective communication system within the team). 3. Competent, talented team members. 4. Unified commitment; in other words, members put the team goals ahead of individual needs. 5. A positive team culture. The factor consisted of four elements: (a) honesty, (b) openness, (c) respect, and (d) consistency of performance. 6. Standards of excellence (i.e., an expectation of high performance, to be successful as a team). 7. External support and recognition. Effective teams receive the necessary resources and encouragement from parties outside of the group. 8. Effective

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Lisa Lebduska; David DiBiasio

discoveredduring the hunt.Design DescriptionWe designed this activity so that it would a.) give students experience with accurate, cleardescription and active listening; and b.) illustrate basic chemical engineering principles andcritical thinking skills in chemical engineering. We paired the students, asking them to designateone person “speaker” and the other “listener.” We then gave each pair an unlabeled diagram of abasic chemical engineering apparatus. For example, one team had a drawing of membraneseparator, while another had a drawing of a heat exchanger. Without looking at his or her Page 6.280.3partner’s paper, the speaker then had to

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Rosalyn Berne

Spiritual Machine, 1999, pg. 4v. ibid. Pg. 102vi. Kurzweil 1999, pg. 124vii. Kurzweil, 1999 pg. 128viii. Menzel and D’Aluisio, Robo Sapiens, MIT Press, 2000 pp. 76, 83ix. Hop Lipson and Jordon B. Pollack, Computer Science Department, Volen Center for Complex Systems,Brandeis University, Waltham Massachusetts.x. "Professor to Wire Computer Chip into Nervous System," Dec 7, 2000, www.CNN.comxi. Menzal, pp 32xii. Kurzweil, 1999, pg. 129xiii. For a full explanation of their travels and studies, see Menzel, Peter and D’Alusio, Faith, RoboSapiens; Evolution of a New Species. Cambridge, MIT Press, 2000.xiv. Joy, Bill, The Future Doesn’t Need Us, Wired, April 2000, pg. 244.xv. Schweitzer, Dan, "Humans Creating a Superhuman Species: A Necessary Step for

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Daniel Raviv

that can be used in science, math,engineering and technology. The course is based on: a) well established systematic and non-systematic approaches to inventive problem solving, b) results from NSF support to FAU onunified frame for inventive problem solving strategies, c) proven successful methods that havebeen used in high-tech innovative industries, and d) on going E-teams projects sponsored by theNational Collegiate Inventors and Innovators Alliance (NCIIA).One of the core ideas of the class is the Eight-dimensional methodology for inventive andinnovative problem solving. It is a systematic approach that stimulates innovation by effectivelyusing both sides of the brain. The methodology is a unified approach that builds oncomprehensive

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Mansour Tahernezhadi; L. D. Allen

26 RB5 B 2-DIGIT FUNCTION RA2 4 25 RB4 A LSB DISPLAYS SELECTION OUTPUT RA3 5 24 RB3 A2 74LS138TO RF TX/RX SELECT RA4 6 23 RB2 A1 (REMOTE ONLY) RESET TO DS1620 RA5 7 22 RB1 A0 GROUND VSS 8 _ 21 RB0 LOCAL/REMOTE SELECT 32.768kHz

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Daniel Walsh

observation of defect formation is possible. Furthermore, theinterrelation between macroscopic processing parameters (G, R - as controlled by heat input and travelspeed) and microstructure can be observed with this device. The relationship between processingparameters and the macroscopic bead shape can also be clearly observed with this device.Bibliography:1. Scheil, E. Zeit. Metallk., 1942, vol. 34, p70.2. Tiller, W. A., Jackson, K.A., Rutter, J.W., and Chalmers, B., Acta Met., vol. 1, 1953, p428.3. Jackson, K.A., and Hunt, J.D., Acta Met., vol.13, 1965, p1212.DANIEL WALSHDaniel Walsh is a Professor of Materials Engineering, program director of General Engineering and Associate Deanfor College of Engineering at California Polytechnic State

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Eric Warmbier; James S. Fairweather; P. David Fisher

components: a. update the course learning objectives; b. modify and expand the course topics; c. change the course prerequisites; d. increase the number of course credits from three to four by adding one additional lecture period per week.4. Take this revised proposal to the Electrical and Computer Engineering (ECE) Department’s Undergraduate Curriculum Committee for review and action. After lengthy discussions on this course-change proposal, the committee decided to defer taking action on the merits of Page 6.1014.2 the proposal until each affected department expressed their opinion on the proposal

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Ali Zilouchian

Session 1526 1 Implementation of an Undergraduate Intelligent Control Laboratory Ali Zilouchian Department of Electrical Engineering Florida Atlantic University Boca Raton, Florida 33431AbstractRecently, the author has been awarded a grant by National Science Foundation (NSF) in order todevelop an interdisciplinary intelligent control laboratory. The objective of the laboratory is

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Judith Waalen; Malgorzata Zywno

Education, pp. 361-367, (1995).4. Marra, R. & Palmer, B. Encouraging Intellectual Growth: Senior Engineering Student Profiles, Proceedings of 29thASEE/IEEE Frontiers in Education Conference, Session 12c1. San Juan, Puerto Rico, (1999).5. URL: http://www.mathworks.com/, MATLAB and Simulink software by MathWorks, Inc.6. Zywno, M.S & Kennedy, D.C. A Practical Servomotor Project: Combining the Web with Simulation Tools toSolidify Concepts in Undergraduate Control Education. Proceedings of 1998 American Control Conference,Philadelphia, USA, Vol.2, pp. 1309-1313, (1998).7. Zywno, M.S. & Pereira, D. Innovative Initiatives in Control Education at Ryerson Polytechnic University - Fuzzy-Logic Control of the 3D-Helicopter Simulator, Proceedings of

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Gerald Heydt; George Karady; Daniel Tylavsky; Keith Holbert

often gives difficulties. Acomprehensive review of short-term load forecasting methods and discussion on the use of AItechniques to improve forecast accuracy are the emphasis of the third module, so that the studentbecomes familiar with basic forecasting methods and gains an understanding of the economicimportance of accurate load forecasting. The final module includes two separate units: (a)elementary concepts of sparse matrix methods, and (b) use of sparse matrix methods to performtypical algebraic operations in the analysis of large-scale systems.3.1 Fuzzy logic for decision making and signal processing [7,8]Fuzzy logic is an emerging field that has been used and proposed for many industrialapplications. The deregulation of the electric

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Audeen Fentiman; Robert J. Gustafson; John Merrill; John Demel; Richard Freuler

on the whole this may be true. But atOhio State the results of a College of Engineering survey in 1992 of 20% of the most recent fiveyear graduates18-19 revealed a strong reason to introduce team-oriented design/build projects.The survey of the graduates (and also of their employers) gathered information about both theimportance of and their preparation in skills grouped in four broad areas: a) basic engineeringskills, b) basic graphics skills, c) computer skills, and d) communication and problem solvingskills. Without exception, the graduates from the years 1987 to 1991 and their employersindicated that the level of preparation was noticeably below the level of importance for writingskills, oral communication skills, problem solving skills

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Teodora Shuman; Greg Mason

following criteria: a) the mechanism needs to assess the student experiences inthe light of course specific educational objectives, b) it needs to be easy to implement, since itwould be used several times a term, and c) it needs to guarantee student anonymity.The mechanism used consisted of three in class surveys and one in class peer review. The peerreview was an oral class evaluation conducted by an outside professor without the teachingprofessor present. A flow chart of the assessment mechanism is shown in Figure 1 and discussedbelow.Step one in the assessment process is to formalize the educational objectives for the course.Educational objectives include: a) learning objectives for the course, b) learning objectives forthe class projects, and c

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Robert Kee; Jean-Pierre Delplanque

, which mimics the computational domain. Also, the toprow of each sheet has the radial coordinate and the left column contains the axial coordinate.These coordinates are necessary for the subsequent formation of spatial derivatives. The following section describes in considerable detail the procedure that a student mustfollow to create the sheets that are needed to complete certain exercises. For those alreadyfamiliar with Excel and its syntax, there is much too much detail provided here. However,for those who are not so familiar with Excel, we anticipate that the detail will be helpful. Page 6.675.6 A B C

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Martha Wilson

: Exploring the Environmentfor Undergraduate Engineering Students, URL: http://www.wepan.org/climate.html6. Santovec, Mary Lou, “Campus Climate Affects Female Engineering Undergrads”, Women in Higher Education,vol. 8, no. 7, p. 5, 1999.7. Larry, Leslie L., Gregory T. McClure, Ronald L. Oaxaca, “Women and Minorities in Science and Engineering.A Life Sequence Analysis”, Journal of Higher Education, v. 69, no. 3, pp. 239-276, May-June 1998.8. Bergvall, Victoria L, Sheryl A. Sorby, and James B. Worthen, “Thawing the Freezing Climate for Women inEngineering Education: Views from Both Sides of the Desk”, Journal of Women and Minorities in Science andEngineering, vol. 1, no. 4, pp. 323-346, 1994.9. Kramer, Pamella E., et. al., “Engineering ‘Up Front’: Why

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Joey Parker

- - - - - a) Node equations b) Loop equations Figure 1 – Circuit for Example #1Node equations can be written from Figure 1a as i1 − iL − iR1 = 0 (1) iL + iR1 = iR 2 + iC (2)Many students would recognize that the two equations above could be combined to eliminate i1as a variable. Unfortunately, this step would not occur to all students and leads to someconfusion as to how to proceed. By using Maple to solve the simultaneous equations, studentscan focus on writing correct equations, and not worry about tedious symbolic algebramanipulations

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Thomas Mason; Arthur Western

Session 2354 The Engineer as Entrepreneur: Education for the 21st Century at Rose-Hulman Institute of Technology Thomas W. Mason, Arthur B. Western Rose-Hulman Institute of TechnologyAbstractOver the past five years, Rose-Hulman has invested over $40M dollars creating anenvironment to encourage entrepreneurship in its graduates. Components of theeducational, organizational, and physical infrastructure are described. These componentsinclude a course in entrepreneurship, internships with entrepreneurial companies, theTechnology and Entrepreneurship Development (TED) program, Rose-Hulman