. Page 9.1426.12 Diversity Course 13 ReferencesBird, S. R. (1996). Welcome to the men's club: Homosociality and the maintenance of hegemonic masculinity. Gender & Society, 10, 120-132.Connell, R. W. (1987). Hegemonic masculinity and emphasized femininity. In Gender and power (pp. 183-190). Stanford: Stanford University Press.Connell, R. W. (1995). Men of Reason. In Masculinities (pp. 164-181). Berkeley: University of California Press.Dubeck, P. J., & Dunn, D. (2002). Workplace/Women's place. Los Angeles: Roxbury Publishing Company.Frehill, L. M. (1997). Subtle sexism in engineering. In Subtle
; Exposition Copyright © 2004, American Society for EngineeringBibliography 1. Bagert, D., J. Gregory, S Mengel, and L Heinze. Engineering education innovation with software engineering projects. ASEE/IEEE Frontiers in Education Conference. Boston, MA, 2000. 2. Bass, L., P. Clements, and R. Kazman. Software Architecture in Practice, 2nd ed. Addison-Wesley, 2003. 3. Boehm. B. A spiral model of development and enhancement. ACM SIGSOFT Software Engineering Notes 11(4):14-24, 1986. 4. Brooks, F. The Mythical Man-Month: Essays on Software Engineering. Addison-Wesley, 1995. 5. Bugzilla Bug Tracking System. http://www.bugzilla.org. 6. Clements, P., and L. Northrop. Software Product Lines: Practices
Copyrightø2004, American Society for Engineering Education”Bibliographical Information1. Burgess, L. A. and Strong, S. D., Trends in Online Education: Case Study at Southwest Missouri State University. Journal of Industrial Technology, 19 (3), http://www.nait.org/jit/Articles/burgess041403.pdf, 2003.2. Clyburn, W. W. and Johnson W. C., A Status Report on the Use of Distance Learning in Industrial Technology. Journal of Industrial Technology, 17 (3), http://www.nait.org/jit/Articles/clyburn051601.pdf, 2001.3. Schmidt, E. K. and Gallegos, A., Distance Learning: Issues and Concerns of Distance Learners. Journal of Industrial Technology, 17 (3), http://www.nait.org/jit/Articles/schmidt041801.pdf, 2001.4. Smallwood
:__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________The following are special requirements the Laboratory Fellow must meet in addition to theminimum criteria for Laboratory Fellows (e.g., specific course(s) completed, special skills(s),etc.).____________________________________________________________________________________________________________________________________________________________ Page 9.595.6 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering EducationAppendix-1 Xerox Fellows Application (continued
models. This uncertainty of a model is the range of uncertaintyabout the systematic dependence of the dependent variable on the independentvariable(s). Unfortunately, none of the popular texts reviewed for this paper adequatelyaddress polynomial models and their uncertainties, probably because polynomial modelsseem to be common mostly in engineering applications. In contrast, polynomial modelsare not so common in fields such as medicine and social sciences that seem to attractmore interest from professional statisticians. Nevertheless, it has been shown elsewhere(Jeter, 2003) that Error Propagation Analysis (EPA), which is already familiar to mostexperimental engineers, can be used to find the uncertainty of both linear and
2000 ASEE AnnualConference & Exposition.6 Mentoring for Academic Careers in Engineering: Proceedings of the PAESMEM/Stanford School of EngineeringWorkshop, E. Riskin, M. Ostendorf, P. Cosman, M. Effros, J. Li, S. Hemami, R. M. Gray, eds., September 25, 2004,.7 N. C. Chesler & M. A. Chesler, “Mentoring Women Students in Engineering: Lessons Learned from theSociology of Gender,” Proc. of the 2001 ASEE Annual Conference & Exposition.8 N. C. Chesler & M. A. Chesler, “Gender-Informed Mentoring Strategies for Women Engineering Scholars: OnEstablishing a Caring Community,” Journal of Engineering Education, January 2002.9 C. A. Limbert, “Chrysalis, A Peer Mentoring Group for Faculty and Staff Women,” NWSA Journal, 7(2), 1995,86
. Their industry-sponsored project requires the student to participate in a small team that designs, builds, tests,analyzes and reports results of various thermal science projects. Several project case summarieswill be presented with attention given to student reaction, sponsor grading and instructorcomments. Details of the process will be discussed with little emphasis on the technical aspectsof the projects. A discussion of anticipated changes to the process will also be presented.In recent years the makeup and background of students in most engineering programs haschanged dramatically. Programs are very diverse in both student motivation and background. Inthe 1960’s and 70’s the major deviation from the traditional undergraduate student was
Education Session # 2470 U MES -AIR 2 1 N o ve m b e r 2 0 0 3 Altitude v s Tim e 250 200 Altitude (meter) 150
Session 2651 Community-Based Approach to Environmental Education Vivian Chang, Eliot S. Metzger, Michael Payne, Sonya M. Havens, Wade R. Peerman, and John M. Lendvay University of San Francisco, San Francisco, CAAbstractThe Bayview-Hunters Point neighborhood in San Francisco, California, is a diverse communitythat experiences an inordinate amount of pollution. Within this five square mile area, heavyindustry, the city’s sewage treatment plant, and the former Hunters Point Naval Shipyard(HPNSY) all act as concentrated and diffuse pollution sources. This research project focuses
development of teams, teaming skills and team performance. Informal learning, a concept introduced in the late 50’s by Malkon Knowles, has beendefined in general as a contextual learning, not highly structured, that occurs as a result of someexternal or internal trigger and an experience, and can take place despite an environment nothighly conducive to learning. It includes incidental learning, which is an unintentional learningthat occurs as a by-product of another activity. Although originated in education, informal learning research has been primarily conductedin the work place. This may be due to the fact that even though informal learning may occur ineducational settings, the concept of “informal learning” contrasts with the “formal
. Newman, J. O Hamblen and T. S. Hall, “An introductory digital design course using a low cost autonomous robot,” IEEE Trans. on Education, vol. 45, no. 3, Aug. 2002, pp. 289 – 296.[4] J. Schumacher, D. Welch and D. Raymond, “Teaching introductory programming, problem solving and information technology with robots at West Point,” Proc. 2001 Frontiers in Educ. Conf., Oct. 2001, pp. F1B-2 to F1B-7.[5] J. Y. Hung, “An integrated junior-year laboratory based on an autonomous mobile robot platform,” Proc. 1998 Frontiers in Educ. Conf., Nov. 1998, pp. 1154 – 1159.[6] D. J. Mehrl, M. W. Parten and D. L. Vines, “Robots enhance engineering education,” Proc. 1997 Frontiers in Educ. Conf., Nov. 1997, pp. 613 – 618.[7] F. Machaud, M. Lucas, G
nearly5.0 percent per year for residents whereas salaries for all faculty has increased only 3.8 percent atWVU. Over the last 19 years the residential tuition increased an average of 8.1 percent astuitions increased 30 percent in the early 1980’s. If the economy goes into depression, thenenrollments will decrease and tuition increases will be difficult to implement. A major emphasis has been to improve the athletic team performance to enhance theimage of the university. Television advertisements during sports events are one example of goodmarketing techniques to enhance the university image. Recently West Virginia University hadits head football coach retire after more than 20 years of service. A new football coach, with nohead coaching
Copyright ©2003, American Society for Engineering EducationThe response to question no.’s 1, 4, 5, and 6 reflect a high degree of agreement that theexperiment was a positive learning experience for the students and the negative responseto question 2 indicates clearly that the experiment was not perceived as a “cookbook”experience.When asked to provide comments on the design experiment, students responded with comments such as: • “I think that being able to see the workings of the columns makes it easier to understand what is really happening in a packed column.” • “Forced us to revisit principles learned in ChE 318 [the theory course].” • “The students can see all aspects of an absorption column and vary any of several parameters
Session Product Lifecycle Management Philosophies Within a Computer-Aided Design Program of Study David S. Kelley Purdue UniversityAbstractTechnological innovations influenced by the capabilities of global communication meansare creating competitive environments that require companies to respond faster to customerneeds with higher quality products. To foster competitiveness, global companies in the twenty-first century are being challenged to integrate all their resources into a seamless
Participation in Undergraduate Research Using the Affinity Group Model,” Journal of Engineering Education, 88 (4), 409-414 (1999). 2. Kardash, C. M., “Evaluation of an Undergraduate Research Experience: Perceptions of Undergraduate Interns and their faculty mentors,” Journal of Educational Psychology, 92, 191-202 (2000). 3. Zydney, A., J. S. Bennett, A. Shahid, and K. Bauer, “Impact of Undergraduate Research Experience in Engineering,” Journal of Engineering Education, 91 (2), 151-158 (2002). 4. Guzzo, R. A. and M. W. Dickson, “Teams in Organizations: Recent Research on Performance and Effectiveness,” Annual Review of Psychology, 47, 307-338 (1996). 5. Katzenbach, J. R. and D. K. Smith, The Wisdom of Teams
largest graduate programs on campus and is made upof both on-site and distance learners. Most recently, SDSM&T has entered into a cooperativeagreement with the Mongolian University of Science and Technology (MUST) to offer theprogram in Mongolia. In this paper, we discuss some of the relevant technological and logisticalissues that had to be addressed in a joint development effort. One interesting aspect of theproject is multi-media considerations that differ substantially between distance learning needs inthe U. S. and those required for delivery in Mongolia.Introduction:Like many programs, the distance program in TM began as an outreach service to South Dakotaresidents who had few opportunities to pursue continuing education. The TM program
solving (Mat-Lab, Mathematica, Macsyma, MathCad, …) novice learners face a step learning curve in goingfrom zero capability to minimal capability. In addition to such matters as becoming familiar withwindow layouts and help facility use, learning MatLab entails becoming facile in problem formu-lation in array/matrix form whenever possible. There are many textbooks in the academic marketplace currently supporting MatLab. A com-mon assumption underpinning the presentation in these textbooks is that students have a workinggrasp of array and matrix operations. A good exemplar is Introduction to MatLab 6 for Engi-neer s, by William Palm. (Palm 2001), an often used textbook for beginning MatLab instruction.Coverage in the Palm book of the basics in
. The purpose of this paper is to sharethe experience and discuss some of the details on the implementation.IntroductionThe primary goal of an engineering technology program is the preparation of technicallycompetent entry-level engineers for private industry. For the recent graduate, thetransition from student to entry-level engineer can be a difficult bridge to cross. Industrymanagers have recognized this difficulty, and many companies have developed elaborateprograms to aid the recent graduate in this transitionIn the early 1990’s, the public began to grumble about the poor student preparation fortechnical careers in industry. A great deal of criticism was thrust upon the technicalschools and universities [4, 7]. In response, many
Session 1732 An Accredited B.S. Program in Optical Sciences and Engineering J.A. Reagan, *R.L. Shoemaker University of Arizona, ECE Dept., Bldg. 104, Tucson, AZ 85721/*University of Arizona, Optical Sciences Center, Bldg. 94, Tucson, AZ 857211. Introduction and BackgroundResponding to pleas from industry in Arizona, an Optical Engineering B.S. program wasinitiated at the University of Arizona (UA) in the middle to late 1980's. This effort was led bythe Optical Sciences Center (OSC) which is a freestanding academic and research unit, but not atraditional department within a college. While
in the system, or 365 days divided by turns per year). For exampleToyota's inventory turns per year ranged from 60 to 80 in the 1970's, which meant that inventoryturned every 4.5 to 6 days. Many domestic companies, including Blount International, HarleyDavidson, and General Electric adopted and were successful with JIT about the same time.However, from that time to the present, inventory turns have dropped steadily for many of them.Toyota's turns per year dropped to the 20's in the 1980's to 12.2 in 2001. General Electric had itsleanest year in 1973 and has lost ground since that time. 1 So, some of these companies begancomparing improvement techniques such as "Total Quality Management" (TQM), "EnterpriseResource Planning" (ERP), and "Theory
Session 3554 Enabling Student Innovation By Leveraging Lessons From Industry J. M. Feland III and S. Carter Stanford University / Doblin, Inc.INTRODUCTIONNow that Engineering Entrepreneurship (E2) programs are emerging in universities all over theworld, the E2 Community’s focus can be shifted from why teach E2 to what should we teach andhow should we teach it? Current programs teem with courses on business models, marketing,accounting, etc. In some ways they resemble mini
Session 1417 A Multidisciplinary Dynamic Systems Curriculum Timothy M. Cameron, Rosalyn S. Hobson, Gary S. Huvard Virginia Commonwealth UniversityAbstractFaculty in Chemical, Electrical and Mechanical Engineering collaborated in developing a newcourse, “Process and System Dynamics,” and new dynamic systems laboratory exercises that canbe used in a variety of courses and disciplines. The objective was to educate students in thefundamentals of dynamic systems and expose them to a broad diversity of applications indifferent disciplines. The labs are largely complete and are being used by
, and the importance of accommodating these students.Often the best teaching strategies for students with learning disabilities, like hands-on learningand collaborative environments, benefit all students. In essence, promoting faculty awareness,student self-advocacy awareness, and understanding of learning disabilities will improve thelearning environment for all students.VI. AcknowledgmentsI would like to extend a special thanks to Dr. Cherry Houck and Dr. Susan Angle for theirtechnical support.Bibliography1. Henderson, C. 46 (American Council of Education, Washington DC, HEATH Resource Center, 1999).2. IDEA. (1997).3. Vogel, S. A. & Adelman, P. B. Extrinsic and intrinsic factors in graduation and academic failure among LD
instances, the advanced topics are pursued by students in completionof a design core-requirement in the degree program. Table 1 illustrates the content of each ofthe three topics presented in the lecture course. Table 1. A listing of Radar System’s course content. Transmission line theory The Smith chart Impedance matching Part One Voltage standing wave ratio Transmission line theory Reflection coefficient Load determination from VSWR and null location of Waveguides S-parameters
Session 1048 Fuzzy Mobile Robots: A Student Design Workshop Rocio Alba-Flores, Marian S. Stachowicz Department of Electrical and Computer Engineering University of Minnesota Duluth, MN 55812 ralbaflo@d.umn.edu, mstachow@d.umn.eduAbstractThis paper describes the Design Workshop course offered at the Electrical and ComputerEngineering Department (ECE) at the University of Minnesota Duluth (UMD). This workshopcourse is one mechanism by which students
Mini-Lab Projects in the Undergraduate Classical Controls Course Jeffrey S. Dalton, Daniel S. Stutts, and Robert L. Montgomery University of Missouri-Rolla Rolla, MO 65409 Abstract: To address a common complaint from students that the undergraduate controls lecture course in mechanical engineering is too abstract, an electromechanical mini-lab was developed. The term “mini-lab” is used here to emphasize the fact that the lab augments the lecture, but does not replace a full controls lab. This mini-lab consists of a simple DC motor and flywheel with either tachometer speed, or potentiometer
Session 2268 Learning Modules for the Statics Classroom Anna Dollár, Paul S. Steif Manufacturing and Mechanical Engineering Department Miami University, Oxford, OH 45056 / Department of Mechanical Engineering Carnegie Mellon University, Pittsburgh, PA 15213IntroductionMechanical integrity, which remains an essential requirement for a vast array of technologies, newand traditional, is strongly rooted in the basic subjects of mechanics. The success of students in awide range of courses in mechanical, civil, and
2Copyright 2003, American Society for Engineering Education Figure 1. Login page• Enter your username• Enter your assigned password• Click on “Login”.Once logged in, a user selects a database from a list presented. In general, instructors aregranted access to the database(s) in the areas in which they are teaching. Figure 2. Selection pageThe “administrative tools” option appears only if the user is also an administrator. Anadministrator has the right to add new users and configure accounts. Once inside adatabase, the user may search for questions, edit an existing question that (s)he authored,or create a new question.3. Searching the Course DatabaseThe database
” c − co x = 1 − erf (2) c s − co 2 Dt where co is the concentration at infinity, cs is the concentration at the surface, x is thedistance from the surface, and t is the time.Rosa2 has proposed using the following dimensionless correlation between hardness andoxygen concentration, H − Ho c − co ∝ (3) H s − H o c s − cowhere H refers to point hardness values, Ho refers to hardness values at infinity, and Hsrefers to hardness
in the 1940’s is a goodexample of the drudgery and tediousness of extended pre-computer calculations. The digitalcomputer fundamentally altered the use of “manual” calculations and replaced it with machine-based computations. Initial efforts were hard-wired (literally) with patch boards, but by the early1950’s higher-level programming languages evolved. For engineering computations,FORTRAN became the dominant programming language. However, as these advances weretaking place, both the engineering workplace and engineering education struggled to effectivelyutilize the promise of the “computer” and to define the relationship between the computer andengineering. Indeed, one could argue that these struggles are ongoing.The situation is much