or waste because itmay not be possible to completely eliminate variability. With reduced variability the cost ofdealing with scrap, rework, and other losses created by defectives which is an enormous drain onany company will be greatly reduced.Bibliography1. Box, G. E. and Luceno, A., 1997, “Statistical Control by Monitoring and Feedback Adjustment”, John Wileyand Sons Inc, New York.2. Bjorn Andersen and Loland H. (1997) “ A Study on the use and effects of Quality Improvement tools, M.scThesis in Production and Quality Engineering3. Duffuaa, S. and Daya, B., 1995, “Improving Maintenance Quality using Statistical Process Control”, Journal ofQuality in Maintenance Engineering, Vol. 1, pp. 25-33.4. Juran, J.M (1997) “Early Statistical Quality
traveling along the cycloid will in fact get from pointA to point B faster than a straight line. We can then explain to the students that the cycloid curveis the “optimal” curve for getting from point A to point B in the least amount of time. Page 14.405.3 Students Racing Marbles on Cycloid Track.A second demonstration is to start two marbles at different points on the cycloid track and havethe students guess which marble will reach the bottom of the curve the fastest. After severaltrials the students see that both marbles will reach the bottom of the track at exactly the sametime. Again we can talk about the geometry and
ABET PEV believed that the assessments of technical outcomes1, 2, 3, 5, and 11 (3 a, b, c, e and k) were insufficient. The major difficulty was the absence ofdata for the four core courses that had not collected data. In addition, since one of the twooptions (IDE 485) for a major design experience course had not been taught yet, there was nodata for this course.For the due process response the instructors collected direct assessment data on outcomes 1, 5and 11 for the MDE students in the four core courses. For the fluids core course that had anassociated lab, the instructor provided individually tracked direct assessment data on outcome 2.We also collected individually tracked data for IDE 485, which included significant directassessment
.. Page 14.778.12Appendix - CPD Training Roadmap for Engineering and Science ClassificationsDB - 02Assignment to sponsor/mentorSEC briefing by Director or Deputy DirectorYour Place on the Army Team – 4 HoursTutorial on the CE-LCMC New Employee AssetSEC Introduction to CMMI – OL – 3 hoursFundamentals of Systems Acquisition (ACQ 101) - OL – DAU*Action Officer Development Course – OL – AIPDBusiness Writing Essentials – OL – 30-hours – Army E-LearningDelivering Successful Presentations – OL – 11-hours – Army E-LearningGreening Course – 5-days – CERDECPlanning, Programming, Budgeting and Execution – 9-days – USAFSIntermediate Systems Acquisition (ACQ 201 A&B) A-OL B-5-days*DB – 03Systems Planning, Research, Development and Engineering (SYS 101
MSE concepts. In doing so, such aproposed framework would guide future research on student learning by developing studentknowledge and skills necessary to elicit, confront, and repair misconceptions in not onlyintroductory materials science and engineering but also .References1. Boulter, C. J., & Buckley, B. C. (2000). Constructing a typology of models in science education, in Gilbert, J. K., & Boulter, C. J. (Eds.), Developing models in science education. Dordrecht, Netherlands, Kluwer Academic Publishers.2. Driver, R. & Bell, B. (1986). Students’ thinking and the learning of science; A constructivist view. School Science Review, 67, 443-356.3. diSessa, A. (1988) "Knowledge in Pieces", in Constructivism in
.Self-explanation and deep learningThe term self-explanation or self-generated explanation 2 refers to the explanation a learnergenerates on his or her own as opposed to the explanations provided by an external source suchas an instructor or a book. Reported gains in science education attributed to the use of self-explanation are overwhelming, with self-explainers sometimes performing twice as well as thenon-self-explainers 4. Self-explanations are usually more effective than the explanationsprovided by others because (a) they require students to actively elaborate their prior knowledge,thus triggering more constructive processes, and (b) self-explanations are usually very welltargeted toward the student’s specific problem or issue.The effect
: a) Calculation of the force in a structural member of a simple two or three member truss. b) Calculation of the shear force at an arbitrary location in a beam. c) Calculation of the second moment of area with respect to the centroid. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 216 d) Understanding the concepts of static determinacy and static indeterminacy. e) Prediction of the shape of a bending moment diagram for a given shear force diagram.An example question is shown in Figure 1. The follow-on question asks the student to calculatethe second area
the merits of using algebrasystems, visualization and simulation tools in teaching undergraduate courses inengineering electromagnetics. A complex computer-assisted problem-based learningsystem is proposed and is underway to be developed to assist and enhance teaching andlearning of electromagnetics through the use of symbolic computation, multimedia, andvisualization. Electromagnetics forms the basis of all electrical engineering fromelectrostatics, electric machines, power electronics, microwave engineering to radiopropagation and antenna theory. Electromagnetics has long been considered to be one ofthe most difficult subjects by students, primarily for the following reasons: a)electromagnetic concepts are perceived to be abstract, b) the
Engineering.Mrs. Judy Maseles, Engineering Librarian Head, Science Branch Libraries Web DevelopmentAdministratohelped develop the project technical database.References1. Laine, J., Sowing Fossil Hydrocarbons to Promote Bioenergy. Center for Applied Energy Research 2009,20, (2), 1-3.2. Oguntunde, P. G.; Abiodun, B. J.; Ajayi, A. E.; van de Giesen, N., Effects of charcoal production on soilphysical properties in Ghana. J. Plant Nutr. Soil Sci. 2008, 171, (4), 591-596.3. Kishimoto, S.; Sugiura, G., Charcoal as a soil conditioner. Symp. For. Prod. Res. Int.: Achiev. Future 1985,5, 12/23/1-12/23/15.4. Bruun, S.; Jensen, E. S.; Jensen, L. S., Microbial mineralization and assimilation of black carbon:Dependency on degree of thermal
, Boulder, CO, November 2003. 9. Courter, S.S., Freitag, C., and McEniry, M., “Ways of Knowing: Ways of Practice,” ASEE/IEEE Frontiers in Education Conference, Boulder, CO, November 2003.10. Mitchell, J. E., “Time Professors Spend Improving their Teaching,” ASEE/IEEE Frontiers in Education Conference, Savannah, GA, October 2004, S1C-6 – S1C-8.11. Miller, R.L., Streveler, R. A., Nelson, M. A., Geist, M. R., and Olds, B. M., “Concept Inventories Meet Cognitive Psychology: Using Beta Testing as s Mechanism for Identifying Student Misconceptions,” Proceedings of the 2005 American Society for Engineering Education Annual Conference, Portland, OR, October 2005, 18 pages.12. Davis, J.S., “Strategic Planning
be A star at work: 9 breakthrough strategies you need to succeed. New York, NY: Three Rivers Press.Manseur, R. (2003, November). An ABET-Based seminar course. Proceedings from the 33rd Frontiers in Education Conference, 1-4.Mayer, J., & Salovey, P. (1997). What is emotional intelligence. In P. Salovey and D. Sluyter (Eds.), Emotional Development and Emotional Intelligence: Educational Implications. New York, NY: BasicBooksMoon, Y. B., Chaparro, T., Heras, A. (2007). Teaching professional skills to engineering students with enterprise resourceplanning (ERP): An international project. International Journal of Engineering Education, 22, 4, 759-771.Orsted, M. (2000). Software development engineer in Microsoft. ACM Press
), 1992.6. Dale N. Buechler, Liya Ni, “An Electrical Engineering Program for Place-Bound Students: The First Two Years,” Proceedings of the 2008 ASEE North Midwest Section Conference, Platteville, WI, Oct. 16-18, 2008. Page 14.329.9Appendix A: Sample of Math Error Tally SheetCourse: Semester: Year:Error types (add row for unlisted error types) Insert "x"for each occurrence, 1. Early Math a. Add, Subtract, Multiply, Divide b. Fractions c. Exponentials d. Logarithms e. Geometry f. Definitions g. Functions h. Other
) (2) ≠ Calculate tuning parameters KC, TI, and TD for the PID controller with following equations Page 14.224.5 (3) (a) Initial setup of the PID function parameters (b) Reaction curveFigure 3. Tuning of an oven controller with the Ziegler-Nichols method for open-loop system Page 14.224.6As a static PID application example, the ladder logic program of a temperature control of anoven is assigned to students. In this exercise, the PID function of the
questions will be addressed during the presentation; 1. What assignment due dates better meet the scheduling needs of adult students? 2. What type of assignments do students believe help them learn more in distance education classes?Population DemographicsSurvey Questions 1 through 5 requested demographic information from each participant. (seeSurvey Instrument in Appendix B) Individual tables (A-1 through A-5) for questions 1 through 5have been included in an appendix at the end of this paper for clarification purposes. Overall,72% of those students who participated in the online survey were age 30 years or above(approximately 18% were between 34 and 37 years of age; approximately 15% were between theages of 46 and
preferred having the freedom to determine the time and locationfor test taking, but collusion between students can be an issue. In a college algebra course,students were allowed to retake exams where they received less than a B 7. Performance wasgreatly increased for 90% of the students who took the test again. Final exam scores were alsoimproved for those retaking unit exams, though this result was not statistically significant. Alarger study involving many disciplines was performed at Ball State University where studentstook many tests on the computer and this was compared with fewer paper based tests 5. Studentsoverall preferred taking more tests during the semester and preferred taking the tests on thecomputer instead of on paper.MethodologyThe
objectives, describing what participants should be able to do by the end of the Page 14.1256.4TECT workshop, are outlined in Table 1.Table 1Learning Objectives for TECT Workshop 1. Articulate the importance of K-12 engineering education. a. Recognize the nation-wide shortage of engineers and technologists. b. Describe the overall decline in students entering engineering related majors. c. Characterize the demographics of students entering engineering related majors. 2. Explain engineering career opportunities within a global and societal context. a. Identify and contrast the engineering disciplines as outlined
academicallyusing any tools they have at hand.One other student had similar access patterns to Figure 6 on the surface, but that student alsovisited each file repeatedly, up to 10 times. This student performed much better in the course,receiving a B as their final grade. Again, repeated and reflective use of the OneNote files may have aided their academic 30 performance. Another one Average Aggregate Days from Posting to Student of the students spent an 25 average of 20 minutes with
ADR o Basics of Welding o Basics of Image Processing o NDT and Imaging o Glossary o References ≠ Assignments Page 14.508.12 o Assignment 1 o Assignment 2 ≠ Search ≠ SitemapA glossary section provides information on the technical terms used in the case study. Anassignment section was developed and provides the following assignment to students.The students are expected to be divided into teams and discuss the following scenarios:Group A: Representing one of the teams at the company: Critique and comment the proposedalgorithm Group B: Representing one of the teams at
each test using two y- axes with appropriate scaling and legend. Plot solar irradiation for each test with appropriate Page 14.1022.9 scaling and legend. Use 3-pt size data markers connected with a straight line (no smoothing).b. Compute the DC power output and PV efficiency at each time step for the static and tracking tests. Plot the DC power output and PV efficiency versus time for each test using two y-axes with appropriate scaling and legend. Use 3-pt size data markers connected with a straight line (no smoothing).c. Compute the average solar irradiation, average DC power output, and average PV module
Rank Teaching Experience as of Spring 2008 In Special Topics Course A PhD student Never taught before Yes B MSCE student Never taught before Yes C PhD student Yes; one semester CE 3171 Yes D PhD student Yes; two semesters CE 3171 Yes E Post-Doc Yes; three semesters of CE 3171 No F PhD student Yes; previously taught CE 3171 and CE 3354 No
. Productive Grade A B C D F W Grade Year ENGR 1201 Rates 2008 8 13 3 0 0 0 100% 2007 5 15 5 0 0 3 89% 2006 7 16 6 0 0 1 97% PHYS 1305 2008 9 12 3 0 0 0 100% 2007 4 12 10 0 0
representations of the information:“…just trying to picture things in your head and then how would you solve a problem...”, “…thislittle diagram that I drew here…’cause that helps your visualize as well.” Mike, in contrast, usedonly mental representations of the data: “I started drawing a linear relationship in my head.” “Ijust went straight through trying to notice the different ratios.” On one of the multiple choicequestions, Alice provided a visual description of the mental process she used to select among thechoices: “Even though I’ve thrown those out, they’re [choices A and B] still kind of on theside”,”…when I finally make my decision then…I feel very sure about C…so now D is now inthe margin for me”, “They’re [choices A and B] in the garbage
, among other things. Emotion was used as aconcluding theme to stress the significance of interactions between neurons in the nervoussystem, and also to summarize the entire course from nucleotides and cell physiology, to morehigh-level manifestations of behaviors like emotions, cognition and consciousness.Figure 1. YESS 2008 students performing a brain dissection (A), and building models ofneurons, as discussed in section 3.3, (B).3.4 Integration of Engineering Tools: ElectrophysiologyElectrophysiology experiments are the golden standard for investigation in neuroscienceresearch. These experiments have been made possible by scientists combining an understandingof basic processes within a neuron and a background in engineering to detect and
courses (a) self-paced, independent study, (b) Page 14.654.3asynchronous interactive learning, (c) synchronous learning, and (d) a combination of online andin-person learning .10 As a department, the need for graduate education was not only to supportexpanding knowledge in the industry, but also spark interest in practitioners to pursue academiccareers. Construction Management programs struggle to fill faculty positions. One goal of theMS in Construction Management program would be to find the select few who would completethe Master’s degree and go on to a PhD.Therefore, a master in construction degree needs to be attractive to young
operational and managerial nature. Theyincluded the following: a) Developing a curriculum that could cover both engineering principles and business concepts within the tight schedule of an MBA program. b) Marketing the program to industries to help them service their new-product development and commercialization needs. c) Fostering cooperation among the various departments of the School of Engineering, College of Business Administration, School of Law, and ORNL regarding commitment of resources toward the success of this program. d) Advising student teams along with asking “hard questions” about the products, both on their technological feasibility and their market potential. This project can serve as
description files are shown in thefigure below. Note that heading changes are always positive for “red” pylons andnegative for “green” pylons. By convention, each course is set up as a loop, so that thecourse description may be repeated from the beginning when the end is reached.Initially, the truck is placed facing the first pylon from the direction of the last pylon. −240 −180 180 120 −180 −0 120 180 −0a. An asymmetric figure 8 b. A clockwise loop c. A double figure 8As
competitions, b. Answer questions about career choices c. Encourage good habits: Study, ethics, health, d. Motivation: Rewards of hard work, celebrate success, e. Building a relationship: Personal accountability, showing that we care f. Scholarships g. Selection of electives appropriate to student interest and career goals Monitoring Information a) Evaluation of grades a) Required courses b) Reasonable progress
-training (EIT) or engineer intern (EI), (b) monetary rewards since many employers recognize theadded value of the EI, and (c) opportunities to take the Principles and Practice of Engineering(PE) examination. However, prospective students seldom ask how the graduation requirementsmatch the competence elements required to pass the FE and PE examinations. The authorbelieves that prospective students need to know the implication of enrolling in a technologydegree program if their primary objective is to obtain professional engineering registration.College Students in Four-Year Degree ProgramsSome engineering technology students consider opportunities for graduate studies. A significantfactor in their consideration is the type of available
skills” and encourages trust and respect for individuals and ideas. The most relevant skills are clustered in four categories: (a) Problem solving, (b) “Big picture”, (c) Personal, and (d) Social. Following these skill “list”, we describe multiple hands-on activity-based innovation modules, each ofwhich aims at specific skills, with focused objectives and outcomes. The modules are divided into tencategories, specifically: Community, Camps, Short Courses, Competitions, Projects, Challenges, Puzzles,Workshops, Meetings, Beyond Engineering, and Business and Industry. Each module is detailed anddiscussed. Implementation of a program that deals with the above skills has begun. The College ofEngineering and Computer Science began the first
presented, and include:1. “Set Your Priorities.” Page 14.835.52. “Place Priorities on Your Calendar.”3. “Allow a Little Time for the Unexpected.”4. “Do Projects One at a Time.” a. “Organize each project in a folder.” b. “Itemize all that needs to be done.” c. “Prioritize in order of importance.” d. “Emphasize only one project at a time.”5. “Organize Your Workspace.”6. “Work According to Your Temperament.”7. “Use Your Driving Time for Light Work and Growth.”8. “Develop Systems That Work for You.”9. “Always Have a Plan for those Minutes Between Meetings.”10. “Focus on Results, Not the Activity.”Wankat and Oreovicz4 devote an