Learning ModelFlow Diagram Schematic at Fig. 1, program code at Fig. 2, and simulation run at Fig. 3 in theappendix, suggest that the students are moving in the system as transactions. This cad-lab is conceivedas a manufacturing, assembling and quality testing system. The engineering cad-lab is identical to thefollowing queuing line hypothetical situation.Statement of the manufacturing simulation problemAssembled television sets move through a series of testing stations in the final stage of theirproduction. At the last of these stations, the vertical control component on the sets is tested. If thecomponent is not working correctly, the defective set is routed to an adjustment station, where thecomponent is modified. After adjustment the set is
also have a variety of preferences for theway they learn. The more teachers understand the learning process, the more effective they canbecome in applying appropriate learning activities.Figure 1 graphically displays this philosophy. The ordinate indicates the level of learning. Theabscissa shows a spectrum of learning activities. To the far left are activities that involve littlestudent involvement or input. Complete control of content and delivery lies with the facultymember. Students are in the receive mode and lack enthusiastic engagement. To the far rightare events with little or no faculty involvement or input. Activities which lie more toward thisend of the spectrum might include sessions where the faculty member is available if
manufacture the elevatorthousands of processes will be required. The production equipment will be controlled by a PLC ora dedicated logical controller. For every engineer engaged in the design of the linear controllerthere will be many more involved in the design of logical controllers for the manufacturing equip-ment.One of the main problems for teaching linear controls is the lack of good design implementations.In electrical and computer based systems, linear controllers are relatively easy to develop. But inmechanical systems these become much more difficult to implement. For example, consider thatsimple aerodynamic drag leads to non-linearities. Examples of components and implementationsfor different disciplines are shown in Table 1.Consider the
-stagetransistor amplifier circuit. Using this method, one can easily obtain a very large number (in thethousands) of possible design structures or concepts. One can then "prune” the tree and select the“best” possible design structure. This method can also be applied to other fields of engineering.1. IntroductionIn recent years, teaching engineering design is getting more attention in engineering education. Thisis due to the ABET Engineering Criteria 2000 initiatives, which have changed the way instructorsdelivered their courses. In electrical engineering, ABET requires that all electrical engineering coursesintegrate design throughout the curriculum, and now there is also a need to demonstrate outcomeassessment, and to check whether a program achieved
isrecognized that often there is tight coupling and iteration between the processing of definingrequirements and developing a design but those issues are not included in this paper.The purpose of the following is to present issues associated with the formulation of open-endedengineering design problems using concepts and terminology that are becoming more prevalentin the field of Multidisciplinary Design Optimization (MDO)1. The purpose of this paper is toprovide terminology and concepts that will assist faculty as they introduce engineering studentsto the idea of model-based design. Students can use this paper as they begin to apply these ideasto problems of specific interest to them.II. Model-Based DesignDesign, as a verb, is the name given to the
like our traditionalengineering laboratory courses? Of course it does. We spend many hours doing fundamentaland basic tasks, many of which are repetitious; the students take data, alone or perhaps with apartner, record it and then forget about it. It is not until they enter the job market that they applytheir knowledge to real world applications.Based on experiences such as just described, it has been said, that colleges do a lousy job ofpreparing engineers for the real world. [1]ObjectivesWhat are the objectives of a meaningful laboratory course sequence? ♦ Laboratory courses should be designed according to the skill level and knowledge base of the students. In our case, for these incoming freshmen, with no prior electronic
promotes the development of critical thinking skills, and humanizes science bydiscerning its importance to everyday life. It can also develop importance skills needed in the"real world," e. g., teamwork, collaborative learning and effective communication. Role playingactivities may be divided into four stages1,6: 1- Preparation and explanation of the activity by the teacher. 2- The classroom preparation of the activity 3- The enacting of the activity (the role playing) by the class. 4- The discussion of the enactment known as debriefing.This type of hands-on instruction is supported by the educational research in learning theory andcognitive development. According to Piaget7, students accommodate and assimilate
improvedtechniques to teach challenging subjects in Civil Engineering such as fluidmechanics.Because the solution of many problems in fluid mechanics and hydraulicsrequires repetitive calculations, using programmed procedures can saveconsiderable time and tedious effort. There are various programming proceduresavailable, which make use of advanced technology: 1) programmable scientificcalculators and equation solvers, 2) spreadsheets, 3) mathematics software, 4)applications software, and 5) programming languages [1]. While each proceduremay provide certain advantages in varying circumstances, it appears that themathematics software offers the most useful applications for solving engineeringproblems in general, as well as for fluid flow problems in
other relatedissues such as curriculum development, course content, teaching strategies, and appropriatemeans of assessment.1. IntroductionA design project is usually a capstone course in traditional engineering education. To completea design project, students are assumed to have completed all required courses and have mastereda comprehensive knowledge in discipline so that they can apply what they have learned to thedesign project. A new approach is to teach fundamentals of engineering design (FED) tofreshman students. The first objective of this approach is to allow students to learn theengineering subject matter right from the beginning 5. When students spend several semesters innon-major courses without encountering engineering subjects
Session 2793 Teaching Freshman Students to Assess Team Performance Joan A. Burtner Mercer UniversityAbstractThis paper describes an approach to teaching teaming that has been used in a freshmanengineering design course for the past three years. The approach includes three components.First, provide students with a variety of teaming experiences. Second, teach students somebasics of team functioning. Finally, establish a culture in which self-assessment and evaluationof others is expected. The paper briefly describes the use of the following class activities: 1) asurvey
StructureEach student receives three credits for the course which meets five hours per week for fourteenweeks. Approximately two hours per week are devoted to lecture/demonstration while theremaining three hours are used by students to work on laboratory activities.The following narrative describes how the reverse engineering laboratory component termproject is utilized during the course. Table 1 illustrates where the reverse engineering (RE)concepts and assignments are introduced throughout the fourteen week course. Page 5.589.2Table 1 Course Topics Time Line WEEKS COURSE TOPICS (RE) RELATED 1 Reverse
ComponentsThe module starts with a graphical representation of a vector (F) in two dimension and ananimation of how to find its components (Fx and Fy). In the first step, a vector is drawn on thescreen, as an instructor would draw it on a chalkboard. In the second step, the components (Fxand Fy) of the vector are identified as the projection on the x and y axes, respectively, as shownin Figure 1. Along with the animation of how to construct the projections, pertinentmathematical expressions are displayed in the same sequence as the projections appear on the Page 5.161.2monitor screen. A message is displayed on the top indicating when the user can
for the incremental changes in thedigital filter coefficients was chosen to be the glottal pulse period, which was set for a malespeaker. The transition interval from one vowel to the next was selected so the listener wouldsense a natural change. Simulation results were generated for a /u/ - /i/ vowel combination. TheM-files necessary for the simulation were included as an Appendix.Introduction This project is a candidate for inclusion in a course applying Digital Signal Processingtechniques at the senior or first year graduate level. This project is an extension to a project inBurrus; et al’s book entitled Computer-Based Exercises for Signal Processing UsingMATLAB1. In the Applications chapter, a Vowel Synthesis project is included
Owner and the Architect in coordinating the entire project, utilizing specialized skillsand knowledge to bring a project in on time and on budget, all while maintaining thehighest quality. This happens by adding construction expertise and by enhancingservices in the pre-construction phases of the project: budgeting, value engineering,constructability reviews, scheduling, and phasing. This process will ensure that theproject (1) meets the approved schedule, (2) meets all construction deadlines, and (3) isfeasible concerning phased occupancy. When it comes time to build, the ConstructionManger is totally familiar with the project and will manage the bidding, awarding andconstruction phases of the project. I have worked on more than ten (10
the companies that sentthe responses had annual revenue of more than $100 Million. About 11% of the companies hadannual revenue of more than $1 Billion. Forty Percent of the companies had permanentemployees numbering more than 100. Most of the companies are involved in building andcommercial construction. Only three contractors were involved in heavy civil construction. Table 1 summarizes the responses to the fourth question of the survey. Total response toany question is more than 100% since more than single responses were applicable for the Page 5.168.4individual question. Decisions were made from the survey where more than 50% of
effort is needed toraise women’s skills in math, science, and technology if women are to be able to compete. Morespecifically the skills that women need to succeed in the public domain of work include:1. Proficiency in basic math, sciences, and technical skills2. Creative thinking3. Goal-setting4. Learning to learn5. Personal and career development skills6. Leadership skills7. Teamwork8. Communication skills9. Interpersonal skills Page 5.18.110. Information and technology related skillsThis paper describes a pre-college science and engineering education program conducted everyyear at Penn State Altoona for middle school (7th and 8th grades) girls
microelectronics andphotonics. Finally, the problems associated with the slow speed of accessing these appletsthrough the web, and with the time intensive development required for these applets, areaddressed in the discussion of the design and development phases of our applets.II. Courseware PedagogyFigure 1 shows a graph of the Java courseware pedagogy with an example implementation. Asshown in this figure, we choose a ubiquitous consumer optoelectronic product to serve as theentry point in our case-study module. This case-study module is used as the motivation for thetopics to be considered. In addition, included in the top-level case-study module is the ability forthe user to choose their desired learning level for the topics. Once an educational level
Sciences to Bioengineering and as freshmen/sophomore level courses in aBioengineering major. Each course is composed of a series of contextual learning modules(CLMs) with a common theme, which are 4-6 contact hour modules, each introducing one majorengineering concept in a biological context. Approximately one hour is devoted to classdiscussion of the context, ~3-4 hours doing hands on experimentation coupled with didacticpresentation and ~1-2 hours of group participation in a design experience. The intent is to moreclearly indicate to the students how the engineering concept may be integrated into their existing"world map" and thereby motivate the students to learn to apply the new knowledge. Ourexperience thus far suggests that students are
program located at theOverland Park, Kansas Edwards Campus, in suburban Kansas City. In addition to the degreeprograms, the department sponsors three, one-day technical conferences each year. Theconferences are: 1) the structural engineering conference, 2) the environmental engineeringconference, and 3) the asphalt paving conference. The planning of each of these conferencesinvolves the faculty and representatives of local industry. The conferences present invitedspeakers as well as faculty presentations that address the needs of the respective engineeringparticipants.The engineering community has, in recent years, requested a different form of continuingeducation. The degree programs do not address the needs of those who do not desire anadvanced
on assessment andcontinuing improvement in its philosophy.II. Defining Continuous ImprovementThe term “continuous improvement” is derived from the essence of the Japanese term KAIZENwhich is a systematic approach to the closing of gaps between customer expectations and thecharacteristics of process outputs. First used in the 1950’s, it has since been known by termssuch as Continuous Quality Improvement and Continuous Process Improvement as well as beingclosely tied, and almost synonymous, with the umbrella expression called Total QualityManagement (TQM).In an article in Quality Digest, Danny Langdon [1] states: Continuous Process Improvement is designed to utilize the resources of the organization to achieve a quality-driven
enter and practice within the field ofengineering. There are eight criterion upon which accreditation is based. These criteria includestudents, program educational objectives, program outcomes and assessment, professionalcomponent, faculty, facilities, institutional support and financial resources and program criteria.Beginning in the year 2000, ABET will review all engineering programs under a new set ofcriteria.Under the conventional criteria for engineering accreditation (Section D.) 1, and under the presentEC 2000 criteria, (Section II of the present EC 2000 criteria) 2 Cooperative Education Programshave separate criteria and separate accreditation. However, at the October, 1999 ABET BoardMeeting, the following was adopted, "Approved for
has been incontinuous use since then, and has been provided to several other universities.In 1999 the co-author acquired the programs for use in a graduate school project. To enhanceusability, he ported the existing code for the four programs into a newly created Windows-basedgraphical interface application using Microsoft Visual Basic. The convenience and user-friendliness of the programs are dramatically increased.1. IntroductionThe senior aircraft design course sequence at Embry-Riddle Aeronautical University has a longhistory of using general aviation aircraft as the assigned design specification. The incorporationof cost analysis into the design process has always been viewed as an important segment of thelearning process. In the last
our graduatesin concert with the goals of ABET EC 2000. The Design Spine provides a design experience ineach of the eight semesters for all of our engineering programs 1. A key feature is the extent towhich the core design courses are coupled to the core engineering-science courses to enhancelearning. Open-ended projects together with experiments in the design courses are chosen toprovide context for and reinforce the engineering science taught concurrently. The Design Spinealso provides the vehicle to develop key competencies in problem solving, effectivecommunication, project management, ethics, economics of engineering, teaming and industrialecology in an evolutionary manner throughout the sequence. The embodiment of this approachin the
Session 2266 CQI for Mechanical Engineering Education: A Two Year Experience Craig W. Somerton, Diana G. Somerton Michigan State University/California Manufacturing Technology CenterI. IntroductionFor over two years the undergraduate program in mechanical engineering at Michigan StateUniversity has operated in a continuous quality improvement process mode. A CQI processknown as ME 2000 has been developed for the undergraduate mechanical engineering degreeprogram at Michigan State University in response to two primary motivations: 1) changes in the accreditation requirements for engineering programs 2
Session 2793 Creating a Course in Engineering Problem Solving for Future Teachers William Jordan, Bill Elmore, Debbie Silver Louisiana Tech UniversityAbstractThe health of science and engineering tomorrow depends on improved mathematics and sciencepreparation and problem solving skills of our students today. One cannot expect world-classlearning of science, mathematics, and problem solving techniques by students if U.S. teacherslack the confidence, enthusiasm, and knowledge to deliver world-class instruction 1. One wayto improve K-12 science education is to improve current knowledge and preparation
market share by increasing visibility. This included 1) increased exposure at university, high school, and professional society recruiting events; 2) improving media coverage at engineering recruitment and outreach events; 3) leveraging public relations efforts in place for National Engineers Week with additional programming. The programs include: Dean’s breakfasts; Tower building utilizing the telecommunication network, and inviting influential teachers/counselors of our scholarship recipients to a reception/dinner and Big 12 basketball game sponsored by the College of Engineering.• Develop and refine campus visitation programs. More than one hundred visitation
themembers of industrial advisory committee, if it exists, and identify training coordinators of areaindustry. Visit those who are responsible for training and development to convey theuniversity’s intentions. For example, at Southeast Missouri State University, we narrowed downthe list to six major items: 1) Providing infrastructure to accomplish applied research, 2)Assisting area industries to test new manufacturing technologies, 3) Providing space for vendorsto demonstrate new technologies, 4) Conducting workshops, seminars, and lectures, 5) Buildingnew university-industry partnerships, and 6) Assisting students and faculty to conduct appliedresearch. The following discussion may help you in developing your own goals.IV. Putting the Partnership
in Table 1. The complete processspans the first 4 weeks of the semester and consumes about 15-20 minutes of lecture time foreach of the four discussion periods.Table 1: Assignments schedule.Class period Taskfirst day Handout first ethics assignment, discuss briefly.end of week 1 First writing assignment is due, think-pair-share exercise for 15-20 minutes.end of week 2 Return graded essays, discuss writing, assign ethics readings and second writing assignment.end of week 3 Second writing assignment is due, think-pair-share exercise for 15-20 minutes.end of week 4 Return graded essays, discuss writing, discuss “correct” answers to case study.end of week 5 First design project is due.While this work has been going on, the class has had
approach would save programmers time and effectively money,which would otherwise be spent "reinventing the wheel" [Harris, 1999].Thin film chemiresistive gas sensorsRecent advances in thin film chemiresistive semiconductors have fueled the development of gassensors for the detection of many different target gases [Bajaria, 1996]. A rendition of a thin filmchemiresistive sensor is shown in Figure 1. These sensors are capable of detecting gasses at verylow concentrations, quickly return to a baseline after exposure, and have a broad range ofconcentrations to which they are sensitive. The nature of the sensors makes them very sensitive,but non-selective. By combining several different sensors into an array, the overall arrayresponse can be made