-vessel composting.Five simultaneous differential equations describe the heat and mass transfer in a compost bed(Keener4 et al.). The bed is divided into layers and the control volume is a single layer, the jthlayer. dmc F(mc, me, T, MCc, O2,. . . ) (11) dt d mcw dmc m evp bcw (12) dt dt dmda dmc m daj m daj 1 b ca (13) dt
complete system. This objective is approached by starting with the simplestpossible system model: a DC gain; and the simplest possible controllers: open-loop (offset andproportional terms) and P-type closed-loop control, designed to meet a loop-gain specification.Nonetheless, the exercise involves identifying the DC gain, designing control, and measuring,comparing and contrasting controller performance. To prepare the student, the prelab mustintroduce several topics: Topics of Prelab 1: a. Introduction to the servo hardware and software. b. Determining DC gain and designing open-loop control. c. Designing P-type closed-loop control. d. Designing P-type closed-loop control with feed forward
participants in lectures.In recent years, PBL has been gaining popularity because of itseffectiveness and flexibility. It can be implemented in many waysin accordance to the course requirement and instructor's choice. There are two common concerns with regards to implementingPBL method [2]. The first is that with the method instructors maynot be able to cover the same breadth of content as the subject-based approach. The second is that the method requires smallstudent-to-instructor ratios, a condition difficult to fulfillbecause of financial constraints. Our experience showed thatthese concerns can be dealt with by (a) careful selection ofprojects and instructional formats; and (b) effective use ofdiscussion sessions. Instead of working on one
5Four of the five courses listed above included students from 2 provinces in Canada. These pilotcourses have been so successful that further courses are being developed and active recruitmentis planned for the Fall 97 semester. Method of Delivery At present five courses have been developed that are suitable for study at home orindustry. The following methods of delivery have been implemented.1. Course Packs. Each course is accompanied by a text book, computer software (whereapplicable) and the following written material: a. Syllabus b. Course outline c. Instructors notes and special questions d. Sample problems with solutions e. Practical assignments f. Projects (where
. References Shaeiwitz, J. A. and R. Turton, “A Process Troubleshooting Problem,” Proceedings of 1996 ASEE Annual Meeting, Session 3213. Turton, R. and R. C. Bailie, “Chemical Engineering Design. Problem-Solving Strategy, Chem. Engr. Educ., 26,44 (1992). Bailie, R. C., J. A. Shaeiwitz and W. B. Whiting, “An Integrated Design Sequence. Sophomore and Junior Years,” Chem. Engr. Educ., 28,52 (1994). Shaeiwitz, J. A., W. B. Whiting, R. Turton and R. C. Bailie, “The Holistic Curriculum,” J. Engr. Educ., 83, 343 (1994). Page 2.62.65. Turton, R., R. C. Bailie, W. B. Whiting and J. A. Shaeiwitz, Analysis, Synthesis, and Design
face-to-face interaction between faculty andstudent. This program will be further tested and extended to advise other Freshmen inother majors other than engineering.REFERENCES1. Panitz, B., Academic Advising, ASEE Prism, February 1995, pg. 19-21.2. Leonard, M.J., The Next Generation of Computer-Assisted Advising and Beyond, NACADA Journal, Spring 1996, Vol.16(1), pg. 47-50.3. Durkin, J., Expert Systems: A View of the Field, IEEE Expert, April 1996, pg. 56-63.4. Friederich, S. and Gargano, M., Using VP-Expert, John Wiley & Sons.S. KEITH HARGROVE, is Assistant to the Dean at The College ofEngineering, Architecture and Physical Sciences at Tuskegee University
the reasons for fewer jobs in power engineering,the most important ones are:(a) Electric utilities are in general not hiring engineers since they are busy re-structuring (down-sizing) in order to be competitive when the deregulation of the utility industry takes place in the near future.(b) Other “power” industries (e.g., motor-drive manufacturers) are also down-sizing and tend to hire experienced engineers or recent graduates having a broad-based background in power engineering (e.g., power, power electronics, microprocessors, etc.). This broad- based power background can be only obtained at a few tier-1 universities. On the other hand, companies with close ties to the University are
water: 132062mg/l water: 59752mg/l BOD: 0mg/l BOD: 156249mg/l SS: 249998.6mg/l C.E.F.E.C SS: 150000mg/l Unit A=Primary Sedimentation B=Filter C=Aerator D=Secondary Sedimentation E=Filter Page 2.207.6
in and out of class.Of these factors, cooperation/involvement in the project was the most subjective to grade. Theobservations of the instructor were corroborated by the students through the use of a confidentialself and peer review form which each student was required to fill out for themselves and for eachof the other team members. The instructor also used the form for each of the team members.Results of the review of the instructor and students were remarkably similar including even thewritten comments. A copy of the form is given in Appendix B. Required work includedassignments given by the instructor (as project manager) for the purpose of keeping the projectmoving forward.ConclusionsThe ASHRAE Undergraduate Senior Design Project Grant
manually. Objective: Show that graphs can be a powerful way of presenting data. Results: The plotting of data points is not a difficulty but the choice of scales for the axes takes some time to learn.CONCLUSIONS:No scientific study has been made of the effectiveness of this teaching procedure on the studentsskills. However some data on grades during the evolution of the course for the past 12 years isinteresting. Prior to 1989 the course was taught as lecture only. There were no labs, no reports,some library assignments. For the five years, 1983 through 1987 the final grade distribution was(141 students) A 23%, B 41%, C 29%, D 5%.For the years 1991 through 1995 the distribution (104 students) was: A 22
positive (to effect motivation), and the attention placed on content andnot on the grade (to effect focus). In the following, the discussion will be limited to the secondstage, the making of effective exams. Page 2.185.3Typical engineering exam problemsI believe a typical engineering exam problem resembles that of typical problems found intextbooks. Although some textbooks have been adding "design" problems recently, anoverwhelming majority of engineering problems in textbooks are still one of the format "GivenA, B, C, and D, find E and F," as illustrated in Example 1. It shows an exercise problem from apopular textbook in Thermodynamics. Since
Page 2.211.5opposes the methodology used in science, where researchers describe the world and behaviorsand find causal relationships between them. The act of design can be seen as transforming afunctional representation, F, to a design description or physical representation, D, through thebehavior, B, and structure, S. Thus, designers develop a functional requirement for a design, F;determine behaviors, B, that will result in fulfillment of those functions, and select structures, S,to cause those behaviors. The expected behaviors, Be, may not match the behavior of thestructure, Bs, and so an evaluation stage may be required. Also, we have added to this process P,the representation of the problem, that must be transformed into a functional
American Societyfor Engineering Education”, New Orleans, 1991.3. McNeill, B. W., Evans, D. L., Bowers, D. H., Bellamy, L., and Beakley, G. C., “Begining Design Education withFreshman,” Engineering Education, July/August, 1990, pp 548-553.4. Weber, R. M., “A Creative Approach to a Laboratory Exercise in Electrical Power System Design”, AnnualConference Proceedings of American Society for Engineering Education, 1989.5. Evans, D. L. and Baker, D. H., “Conceptual Design for Engineering Freshman,”International Journal of AppliedEngineering Education, vol. 4, No 2, 1988, pp 111-121.NIKHIL K. KUNDUProfessor Kundu received his BS degree from Technical University, W. Berlin, Germany and MS degree fromUniversity of California, Berkeley both in Mechanical
,” Internet World, v.6, n.10, pp.80-82, 19952. Gates, B., “The connected learning community: using technology for education,” Technological Horizons in Education Journal, Guest Editorial, v.23, n.8, p.10, 1996.3. Silva, M. And Cartwright, G.F., “The Internet as a medium for education and educational research.” Education Libraries, v.17, n.2, pp.7-12, 1993.4. Silva, M. and Breuleus, A., “The use of participatory design in the implementation of Internet-based collaborative learning activities in K-12 classrooms,” Interpersonal Computing and Technology Journal, v.2, n.3, pp.99- 128, 1994.5. Kaye, J.C., “Characteristics of effective networking environments,” paper on a study sponsored by Los Alamos National
to evaluate their own solutions to problems to determine their “reasonableness.”5. Students are better able to coordinate their thought processes with others from different disciplines.Table 2: Critical Attributes of Problem-Based Learning Page 2.327.5education a success include: (A) establishing an environment of trust; (B) designing anddeveloping the problem; (C) implementing the problem; (D) establishing structure;(E) researching the problem; (F) allowing students to develop solutions; and, (G) evaluating.A. Establishing an Environment of Trust This first element cannot possibly be overstated. The teacher must establish rules ofengagement in
=> (beamx1,beamy1)25. beamy1 = bl2 * sin(theta); % right end => (beamx2,beamy2)26. beamy2 = -bl2 * sin(theta);27. % construct initial beam using a wide line28. % LineWidth of 0.5 is normal29. L = plot([beamx1(1) beamx2(1)], [beamy1(1) beamy2(1)], 'y', 'EraseMode', 'xor','LineWidth', [2.5]);30. axis([-45 45 -45 45]); % construct square axes31. patch([-2 0 2 -2], [-5 0 -5 -5], 'y'); % construct beam stand32. % construct initial ball33. H = patch(arcx+ballx(1), arcy+bally(1), 'b', 'EraseMode', 'xor');34. 'Press a key to continue'35. pause36. for i = 2:ltheta, % loop over data values
Measurement of the Effective Opening of Testing Sieves" Journal of Research of The National Bureau of Standards, Vol.47, No.3, Research Paper 2238, September 1951. 7. B. Kaye, "Investigation Into the Possibilities of Developing a Rate Method of Sieve Analysis" Powder Metallurgy, (1962), No.10:199-217. 8. K. T. Whitby, "The Mechanics of Fine Sieving" ASTM spec. Tech. Publ. No.234, p. 3, 1959. 9. A. W. Jenike, Storage and Flow of Solids,., Bulletin No. 123 of the Utah Engineering Station, Salt Lake City, Utah, March 1970 10. S. Kamath, V. M. Puri, H. B. Manbeck, and R. Hogg, “Measurement of Flow Properties of Bulk Solids Using Four testers,” 1991 International Winter Meeting of the American Society of
was solved in the early 1990's when MATLAB was installed on the University'stime-share system. MATLAB, and it's associated Signal Processing Toolbox, includes powerfultools to support experimentation in DSP. In many cases a single line of MATLAB code replacesan entire Fortan program. e.g., [b,a] = butter(5, 30/(100/2));designs a fifth order Butterworth low pass filter with a cut-off frequency of 30 Hz for signalssampled at 100 Hz. The addition of a few more lines of code can implement a simple projectwhich might: • Generate a signal corrupted with random noise • Design a filter and apply it to the corrupted signal • Display both the original and filtered signal.The availability of these powerful primitives allows the
ofmentors who shared their on-the-job experiences with the mentees, as well as with a number oflower division undergraduate engineering students and university faculty. The forum was plannedso that each mentor was given five minutes to speak on a variety of topics. These topics includedsuch issues as: (a) engineering diversification in the face of companies "re-engineering" anddownsizing; (b) management of technology and its key areas: knowledge of subject matter,disciplined approach to process, leadership, and team work; (c) the future for engineers intelecommunications: deregulation, technology development, and globalization; (d) engineers ascomputer scientists; (e) environmental engineering in Florida; (f) engineers as entrepreneurs andsmall
, geared toward students who need academichelp and are ready to work hard in school.The typical new student to MEP was a pretty good high school student with an A to B average,and likely to earn C’s and B’s in engineering, without support from MEP. Many of their parentsare employed in blue-collar and clerical positions. Even though they did not attend a four-yearcollege themselves, they are proud their children have done well enough to gain entrance, theyencourage them to do well in school, but are unable to assist them in course material, courseselection, study skills, or basic advice on college survival. Because of multiple wage-earners inthe household (which often include older brothers and sisters as well as both parents), the totalfamily
1993, p1773.4. Winston, Arthur W., “Use of Neural Networks in Engineering Applications and the Education of Engineering Leaders,” Proceeding of the 1995 ASEE Annual Conference, p2828.5. Baharin, Iskandar B., and Hasan, Md Mahmud, “A neural networks software for the control engineers,” Advances in Engineering Software, 22, 1995, p191.6. Goh, A. T., “Back-propagation neural networks for modeling complex systems,” Artificial Intelligence in Page 2.305.10 Engineering, 9, 1995, p143.7. “Neural Network Resource Guide,” AI Expert, June 1995, p35
Annual Conference Proceedings, Session 2392, CD-ROM, Washington, D.C., June 1996.[2] M. A. Palmer, J. B. Hudson, C. T. Moynihan and G. E. Wnek, “Using the Internet as a Teaching Aid,” 1996 ASEE Annual Conference Proceedings, Session 2520, CD-ROM, Washington, D.C., June 1996.[3] M. Bartz, “The Electronic Classroom Via the World Wide Web,” 1996 ASEE Annual Conference Proceedings, Session 2632, CD-ROM, Washington, D.C., June 1996.[4] S. K. Starrett, “A Beginner's Approach to Teaching with the Internet,” 1996 ASEE Annual Conference Proceedings, Session 2632, CD-ROM, Washington, D.C., June 1996.[5] P. Penfield, Jr. and R. C. Larson, “Education Via Advanced Technologies,” IEEE Transactions on Education, Special Issue on the Application of
Session 3657 Improving Quality in Introductory Industrial Engineering through Case Studies and Communication John Birge, Shane Henderson, Leslie Olsen University of Michigan AbstractWe describe an introductory course in industrial engineering that uses case studies, teamwork,public policy issues, and a focus on the communication demands on engineers to provide —atthe beginning of a student's career—a synthetic view of the role of industrial engineers in society.The course covers typical industrial engineering
share results of new curricula among institutions. In the content of new curricula to goal it is already set b the Accreditation Board forEngineering and Technology (ABET). It is under ABET criterion that the engineering programsmust demonstrate that their graduates have2 : a) An ability to apply knowledge of mathematics science and engineering b) An ability to design and conduct experiments as well as to analyze and interpret data c) An ability to design a system, component or process to meet desired needs d) An ability to function on multidisciplinary teams e) An ability to identify, formulate and solve engineering problems f) An understanding of professionalism and ethical responsibility g) An ability to communicate
Page 2.295.2prerequisite.The Theme ProblemThe primary use of the software is associated with the biweekly laboratory and is accomplishedin the framework of a problem which provides a recurrent theme for all aspects of the course. Inthe fall semester of 1996 the problem involved a two degree-of-freedom vehicle suspensionsystem as illustrated in Fig. 1 although it could as well be an electrical network. The system isfourth order and thus hand computations will not suffice for the calculation of various systemresponses to various road profile inputs. m1 x1 b k1 x2 m2
using the MATHEMATICA program. Aselection of sample animation frames is included in Appendix A, and a listing of the complete yetbrief MATHEMATICA program used to create this animation is given in Appendix B, wherevarious helpful comments are inserted as comments between the marks (* and *). Page 2.474.1 y m θ2 0.15 B θ1 E x A
majors. The data suggests that non-computing majors cansucceed in this course. Table 2. Grade Distribution as a function of Intended Majors A+,A,A- B+,B,B- Below B- TOTAL CS 7 12 22 41 CE 22 20 32 74 Other 20 28 60 108Satisfaction with EECS 100, as opposed to a programming courseTable 3 shows the responses to two questions, broken down according to whether the student atthe end of the course intended to major in CS or CE or some other major. The student was
‘. \ ‘\ \ \ \ G, \ \\ B A E Figure 1: Four-bar linkage Position Solution and Kinematic CoefficientsIn order to animate a four-bar linkage, the position solution must be obtained for discretevalues of the input variable 8i. A Newton-Raphson method is used here to obtain theposition solution. The constraint equations for the mechanism in Fig. 1 are r1 cos I91 + T2 cos 02 + T3 cos 03 - r4 = 0 (1) rl sin 01 + r:! sin 92 + r3 sin 93 = 0
students involved in these projects learned to worktogether in teams and were highly engaged and motivated by their interaction with "real" people Page 2.355.7in the various service agencies. In most cases, students were enthusiastic about the experience.Similarly, the client agencies were very satisfied with their participation in the collaboration andvalued the expertise that the students provided to them. Most importantly, however, the studentscame to understand at a deeper level the social responsibility that comes with being a member ofthe engineering profession.REFERENCES 1. Jacoby, B. (1996). "Service-Learning in Today's Higher
class who averaged 64.8. The F value fortesting the null hypothesis that the averages are the same was 0.087 providing a P-value of 0.76.Clearly the difference in the means are not statistically significant due to the small sample size.The test does however favor the 5 students under study.BIBLIOGRAPHY1. A. B. Chiquito, “Metacognitive learning techniques in the user interface: advance organizers and captioning,”Computers and the Humanities, vol. 28, no. 4-5, pp. 211--33, 1995.2. V. Vadhan and P. Stander, “Metacognitive ability and test performance among college students,” The Journal ofPsychology, vol. 128, pp. 307--309, May 1994.3. J. R. Anderson and J. M. Fincham, “Acquisition of procedural skills from examples,” Journal of