Page 4.551.1Agricultural Science and Natural Resources, University of Nebraska, Lincoln NE. Some Civil Engineering Departments offer an $environmental engineering# option at theundergraduate level, and some Chemical Engineering Departments offer a $biochemicalengineering# option. Students selecting the Civil Engineering-Environmental (CE-E) option haveto make a choice between mechanical engineering and chemical engineering thermodynamics.Students selecting the Chemical Engineering - Biochemical (ChE-B) option generally take the twosemesters of chemical engineering thermodynamics that is typically part of the core requirement ina chemical engineering curricula. It is probable that these degree programs will have an interest ina
wedge angles of 100o in the converging duct, what is the downstream Mach number for zones 1,4,5?Q 12: For a wedge angle of 10.0o, how does downstream Mach number vary with increasing upstream Mach number? How does this change affect the position of the shocks in the duct? At what upstream Mach number does the normal shock move outside of the duct? Figure 1 - Sample Display for Inlet Page 4.577.7 Figure 1 - Sample Display for Oblique ShockSAMUEL B. THOMASONSam Thomason joined the faculty of the Department of Mechanical Engineering at The University of
…ItST5. "The Edunet Story". http://civil.cc.utexas.edu/sty/amir/htdocs/bdod.html6. Richard H. Curtis, "Lagging Education: The Achilles's Heel in Pakistani Development". Http://www.washington-report.org/back/1996/08/9608084.htm7. "Going the Distance", ASEE Prism Briefing, February 1998.The full report, Distance Education in Higher Education, is available online at nces.ed.gov.8. Moore, M.G. & Thompson, N.M., with Quigley, A. B., Clark, G.C. & Goff, G.G(1990) The effects of distance learning: A summary of the literature, Research Monograph No.2.University Park, PA: The Pensylvania State University, American Center for the Study of Distance Education.9. Verduin, J.R. &Clark, T. A. (1991). Distance education: The foundation
, things are not so clear. For example, skill “k”, i.e.,have developed a commitment to quality, timeliness and continuous improvement, is ranked as#1, #4, and #6 with equal number of responses for each rank. Similarly, the range of rank variesfor skills “d’, “e”, and “f”.According to this analysis, it also turned out that skill “b”, i.e. apply current knowledge andadapt to emerging applications in mathematics, science, engineering and technology, does nothave a clear ranking at all since there is no consistency in the responses as to where that skillbelongs in ranking.In order to get the variances and no rank situation taken care of, the survey data was alsotabulated according to cumulative number of rank response for each skill. TABLE 5 shows
professionalethics course significantly increases moral reasoning skills of students. This paper proposes thatsimilar positive results can be achieved by teaching ethics principles as part of standard requiredengineering courses.Self7 reviews Kohlberg’s three relative levels of morality development, as follows:Level One, Pre-conventional Morality a. Authority says: “do it” to avoid punishment. b. Egoistic—“what’s in it for me, you scratch my back I’ll scratch yours” approach.Level Two, Conventional Morality a. What is right is what people close and important to you expect. This is an altruistic orientation favoring (in order of importance) children, family, (colleagues, schoolmates), school, college, city, state
(from 0 to 1) of belief in hypothesis h given the evidence e.MB measures the extent to which the evidence supports the hypothesis. MB is zero if theevidence fails to support the hypothesis. 2) MD[h, e] - A measure (from 0 to 1) of disbelief inhypothesis h given the evidence e. MD measures the extent to which the evidence supportsthe negation of the hypothesis. MD is zero if the evidence supports the hypothesis.Using these two measures, we can define the certainty factor as: C F [h, e] = M B [h, e] − M D [h, e] (2)When several pieces of evidence are combined to determine the CF of one hypothesis, themeasures of belief and disbelief of a hypothesis given two observations s1 and
Definition of the Best Undergraduate Engineering Education”, University of Wyoming’s College of Engineering Undergraduate Education Task Force, Laramie, WY, 1997.4. Yoder, D. S., J.R. Parsons, C.D. Pionke, F. Weber, “Hands-on Teaching of Engineering Fundamentals,” 1998 Annual Conference Proceedings, American Society of Engineering Education, Seattle, WA, June 1998.5. Bedard Jr., A., D. Meyer, “Hands-on Engineering Homework: A New Approach to Out-of-Class Learning,” 1996 Annual Conference Proceedings, American Society of Engineering Education, Washington, D.C., 1996.6. Jiji, L.M., F. Delale, and B. Liaw, “Home Experiments in Mechanical Engineering,” 1996 Annual Conference Proceedings, American Society of Engineering Education, Washington
of ITS-96 (1996).35. Macromedia, Using Authorware - Version 3, San Francisco, CA, Macromedia, Inc (1995).36.] Butz, B.P., Expert Systems. Abacus, 5 (1) 30-44 (1987).37. Giarratano, J.C. and Riley, G.D., Expert Systems: Principles and Programming, 3rd edition, Boston, MA, PWSPublishing (1998).38. Giarratano, J.C., CLIPS Users Guide. Artificial Intelligence Section, Lyndon B. Johnson Space Center (1989).BRIAN P. BUTZBrian P. Butz is a Professor of Elecrical Engineering at Temple University, Philadelphia, PA. He founded and is theDirector of the Intelligent Systems Application Center. At Temple, he is the co-chair of the University’s Distancelearning Committee and is a founding member of its Teaching, Learning and Technology Roundtable. His
Force, “Draft Software Engineering Accreditation Criteria”, Computer, vol. 31, no. 4, 1998, pp. 73- 75.14. Jensen, D.D., Murphy, M.D., Wood, K.L., “Evaluation and Refinement of a Restructured Introduction to Engineering Design Course Using Student Surveys and MBTI Data”, Proceedings of the ASEE Annual Conference, Seattle WA, June, 1998.15. Juricic, D., Barr, R. E., “Extending Engineering Design Graphics Labs to include CAD/CAM Applications”, Proceedings of the 1993 Centennial Meeting of the Gulf-Southwest Section of ASEE, April 1-2, 1993, Austin, Texas, pp. 539-542.16. Kaspar Walter GmbH committee, “Easy-to-Learn CAD Software Eases Change to 3-D”, Design News, vol. 52, no. 24, 1997, p. 42.17. Koen, B. V., “Toward a Strategy
curriculumEnvironmental 1 ChE 170: Introduction; Yes B Grade in courselaws & ChE 451: Formal instruction Yes AregulationsCapstone design 2 ChE 451: Design project Yes C Grade on projectwith safety/environmentalconsiderationsThe information summarized in Table 4 for Attribute 7 is the result of much discussion and Page 4.379.8several iterations. Note that a mastery level of 3 was assigned for HAZCOM training, meaningthat our students will be required to pass the HAZCOM test as a condition for graduation.HAZCOM training has not been generally required of our students to
inapplying the basic principles to real problems, whatever this problems may be in the nextdecades. This requirement is at odds with the traditional education system which is based onformal lecturing. Radical changes are thus necessary: the assignment of projects can provide theproper environment for the students to develop the abilities to solve real problems 4.In a more recent work Yerlici -interested in the philosophy of engineering education- suggests theneed of introducing in the learning process, the concept of innovative thinking by implementinghonor programs. The evaluation system in this programs should include a) real life projectsselected by the students that will help assuring the continuity of study and b) comprehensiveexaminations on
important to the success rate of the students.References1. Babcock, Daniel. Managing Engineering and Technology, Second Edition (Upper Saddle River, New Jersey: Prentice Hall, 1996.)2. Joyce, B. and Weil, M. Models of Teaching, Fifth Edition (Englewood Cliffs, New Jersey: Prentice Hall, 1996.3. Lipnack, Jessica and Stamps, Jeffrey. Virtual Teams (New York: John Wiley & Sons, 1997).Biographical InformationLUCY C. MORSE Dr. Lucy C. Morse is an Industrial Engineer serving as an Associate Professor in the EngineeringTechnology department of the University of Central Florida. In that capacity, she is the Director of EngineeringTechnology at a Distance, a program to deliver B.S.E.T degrees at a distance. She was the project manager
is how long it takes for the actual cost of manufacturing the product to equal the target cost. Initially the actual costs should be higher than the target costs for a number of reasons, including: • Operator learning curves • Supply chain establishment & stabilization • Process tuning • Design and document errors If the downstream manufacturing personnel actively and effectively participated the early stages of the development process the initial production disruptions caused by these factors should be minimal and quickly resolved. This participation is reflected in the initial difference between the actual and target costs and how long it takes to bring them into parity (A & B respectively
interested in obtainingtraining in course-related technology, especially at the larger campuses.Figure 1 (a) and (b) show typical responses to two questions from the survey with respect to thefaculty’s skill level. Each plot shows the percentage, either for all respondents or forrespondents from each school, on self-rated skill level in each topic. The first questionconcerned the respondent’s skill in creating, editing and incorporating images into coursematerials using the computer (Fig. 1a). The second concerned the respondent’s skill in creating aWeb page for a course to provide information and distribute course materials (Fig. 1b).The most noticeable feature of these figures is the uniformity of distribution of skill levels acrossthe coalition
transferred to another picture box with a background.During the transformation, the color image was zoomed for better recognition the boundaries ofthe small target, and at the same time, it was constructed to a black and white picture. To obtainthe black and white picture, each pixel of the color picture was separated into three main colors;red, green, and blue. The arithmetic average of the main colors ((R+G+B)/3) was calculated foreach pixel and recorded at the same pixel to obtain grain scale picture as follows: c = colorRGB Blue = Int (c / 65536) c = c - Blue * 65536 Grean = Int (c / 256
animation to show how a mechanism (in this case the Telesis robot) isconverted into a kinematic model using vectors. The animation starts with a still picture from thevideo clip mentioned above. Then that still picture is converted into the screen shown in Figure3(a). Objects surrounding the robot (workbench, human hands and pulleys) are removed as theanimation progresses and the vector kinematic model is shown with the robot body (Figure 3(b)).Finally the picture of the robot body is removed and the vector model used for the mathematicalanalysis is displayed (Figure 3(c)). This visual presentation gives candidates a clear process ofhow a mechanism can be converted into a vector kinematic model.Figure 3 (a): Telesis Robot In Operation
4.394.4grade estimates, and personalized messages. The software requires the teacher to provide thelinks to Student ID numbers and data to be transmitted. These links are the column numbers andfile name of the spreadsheet that the teacher is using to keep the student scores and statistics forthe course. An example of an e-mail message sent to students by the teacher using EDOG isgiven in Figure 3(a). Figure 3(b) shows the student’s response to that particular message. Enginr124 W99 Circuit Theory I Section 1 Dan Akins Jeff Brooks Scott Castano Luke Clisbee Doug Fiehler Les Foyto Jill Groner Christina Robb Figure 2. Partial Photo
Science Foundation with its revised budget guidelines is therefore awelcome improvement in this regard.Acknowledgments This work is partially supported by the National Science Foundation through grant numberDUE-9750757 under its Division of Undergraduate Education’s Instrumentation and LaboratoryImprovement program.Bibliography1. URL: http://www.engr.panam.edu/~dsclab/2. Diong, B., Bose, S., & Freeman, R., “Updating the undergraduate Control Systems lab experience,” Proc. ASEEGulf Southwest Conf., San Antonio, TX, Feb 1996.3. Rodriguez, H., Ramirez, P., and Diong, B., “Modeling, simulation and control of a DSP-based inverted pendulumsystem,” Proc. ASEE Gulf Southwest Conf., Houston, TX, Mar 1997.BILL DIONGBill Diong is currently an
positive.Bibliography1. Hatton, D.M., Wanka, P.C., LeBold, W.K., “The Effect of an Orientation Course on the Attitudes of Freshmen Engineering Students”, Journal of Engineering Education, v.87 (1), January 1998, p. 23.2. Richards, L.G., and Carlson-Skalak, S., “Faculty Reactions to Teaching Engineering Design to First Year Students”, Journal of Engineering Education, v.86 (3), July 1997, p 233.3. Carlson, B., Schoch, P., Kalsher, M., Racicot, B., “A Motivational First-year Electronics Lab”, Journal of Engineering Education, v.86 (4), January 1998.4. Peterson, G.D., “Engineering Criteria 2000: A Bold New Change Agent”, ASEE Prism, v.7 (1), September 1997, p 31.5. Krupczak, J., “Demystifying Technology”, ASEE
problematic. To find the solution of homogeneous constant coefficientdifferential equations the standard approach is to set the solution up as y=eλx and then find λ,which could be complex. Naturally for complex exponents the complex exponential functionis needed, which requires knowledge of the power series expansion of ex. With time being ofthe essence, it is problematic to develop sequences, series and power series at the end of MathIII (largely equivalent to the second calculus of four) in order to introduce the complexexponential function and then treat differential equations. The authors’ solution was to followthe path described in [La] and define ea+ib:=ea(cos(b)+isin(b)). In this fashion a complexexponential function with the right properties
. Andrew Hale is an Assistant Professor of Biological and Agricultural Engineering at North Carolina StateUniversity. He received his B. S. in Agricultural Engineering from the University of Georgia in 1982, his M.S. inAgricultural Engineering from Texas A&M University in 1985, and his Ph.D. in Agricultural Engineering fromClemson University in 1993. Andy teaches BAE 315: Properties of Biological Engineering Materials and BAE401: Bioinstrumentation, both of which are required courses in the BE curriculum.LARRY F. STIKELEATHERLarry F. Stikeleather is a Professor of Biological and Agricultural Engineering at North Carolina State University.He received his B.S. in Agricultural Engineering at North Carolina State University in 1964 and his Ph.D
felt they had had the material in high school. Statisticsshowed strongly that the precalculus class was very ineffective, since only a small percentage ofthe students who started in it finished the engineering calculus sequence.PerformanceThe first year that the ESP program was implemented in Math 1205 on a large scale was fall1997, so the following statistics are from the 1997-98 school year. At the outset, the differencebetween the two groups of students (non-ESP and ESP) was considerable: almost 19 points inthe mean math readiness score and almost 60 points in the mean math SAT score. Such gapswould ordinarily translate to differences in mean course grades of about a letter (B versus C,e.g.) and in mean common final exam scores of several
of Machine Elements, Sixth Edition, Prentice-Hall InternationalInc., Englewood Cliffs, 1985.2. Marrin, C., Campbell, B., Teach yourself VRML in 21 Days, Sams Publishing, 1997.3. Hartman, J., Wernecke, J., The VRML 2.0 Handbook – Building Moving Worlds onthe Web, Addison – Wesley Publishing Company, 1996.4. Martin, J., Part Design comes together on the net, Mechanical Engineering Journal,June 1997.5. Ames, L., Nadeau, D.R., Moreland, J.L., VRML 2.0 Sourcebook, Second Edition.,John Wiley, New York, 1997.6. Hermann, E., Teach yourself CGI Programming with Perl 5 in a Week, SamsPublishing, 1997.7. Till, David., Teach yourself Perl 5 in 21 days, Sams Publishing, 1996.8. Musciano, C., Kennedy, B., HTML – The Definitive Guide, Second Edition
y C B o a rd Construction
of images from the animation of the mechanism operation in I-DEAS.Figure 7 - Comparision of the position of a point on the front edge of the tray table determinedusing Mathematica (left) and I-DEAS (right).Figure 8 - Comparison of x-component of velocity of a point on the front edge of the tray tabledetermined using Mathematica (left) and I-DEAS (right). Page 4.135.9Figure 9 - Comparison of x-component of acceleration of a point on the front edge of the traytable determined using (a) Mathematica and (b) I-DEAS.III. SummaryA computer-aided design course which employs Mathematica and I-DEAS to assist inmechanism design was described. The
courses.II. Course ContentThe major student outcomes of the course are that the student must be able to a) derive thesystem differential equations for single (one) and multiple degree-of-freedom vibrating systems{sdf and mdf systems}; b) solve for the analytical solutions for single degree-of-freedom systemsfor free and forced responses; c) solve analytically for the natural frequencies and mode shapesfor multiple degree-of-freedom systems, with primary emphasis on two degree-of-freedomsystems; d) demonstrate a fundamental capability of using MATLAB to manipulate matrices andsolve coupled ordinary differential equations; e) design a simple vibration absorber system; f)utilize MATLAB’s differential equation solvers to solve for time-domain free and
).Current research projects at Lawrence Tech relate to composite reinforced concrete bridges andinstrumentation of landfills.Table 1 (A): Fundamental Material BehaviorProject Topic Variable in Testing ProgramCreep deformation of geomembranes at Temperature: freezer, oven, ambientvarious temperaturesCompressive strength of wood as a Moisture content: soaked and oven driedfunction of moisture content samplesStructural capacity of pine vs. oak Species of woodspecimensEffect of water quality on compressive Quality of mixing waterstrength of concreteCorrosion of structural steel Corrosion time and chemical solutionsTable 1 (B): Optimizing Engineering Products
weaknesses, develop positive interdependence, collaborate to achieve acommon goal, learn from each other, and have fun. The four projects were: a) shootingbasketball from a free throw line and determining their percentage success rate; b) analyzingtheir learning styles and discussing similarities and differences; c) individually generating acreative item like a joke, cartoon, or poetry, and coming to a consensus about the “best” item intheir group; and, d) designing an optimum roof truss.As in previous work (e.g., Danielson & Danielson, 1994)5, these formal groups were encouragedto study and prepare for examinations together. The groups also took collaborative in-classquizzes. The group members discussed how to solve the quiz problem in the
thestudents to utilize the other, differentiated modules. The second module was designed with twovariations. Each of the variations covered the same material, but one was designed with apredominance of sequential characteristics (Sequential Module 2) and the other was designed tobe global (Global Module 2). Half the global students and half the sequential students, Group A,were channeled to the sequential module, while the remaining students, Group B, used the globalmodule. The third and final module was also designed with sequential and global variations withidentical content. However, Group A utilized the information that was global in nature (GlobalModule 3), and Group B the information that was sequential in nature (Sequential Module 3), asshown
population when looking at theaverage results. One might expect the hands-on content to help these students the most. For theS-type students, the greatest benefit, when compared with the “all” category, was found in thetorsion and combined loading modules. The N-type students almost always showed lower ratesof improvement. The V-type students did exhibit significant improvement on one of the bendingquestions and one of the combined loading questions, however the small sample size of V-typesmakes it difficult to arrive at any firm conclusions. Not surprisingly, the K-type student appearedto derive significant benefit from all three modules.3.4. Results of Exam QuestionsTwo multiple choice questions, shown in Appendix B, were included on a midterm