innovation methodology with biomimicry design principles and apply to classroom topics; • demonstrate the ability to innovate using the NABC philosophy; N=Needs, A=Approach, B=Benefits per cost, C=Competition • describe an ergonomic design idea inspired by nature using the NABC approach, and • assess communication skills through peer evaluation.The entire task is broken down in a step-by-step process to insure consistent delivery andassessment. The process was developed using the biomimicry design process and can beapplied to any situation that demands similar learning and communication skills.The PlanThere are four basic steps to the overall plan for completion. The scenario described in the firsttwo steps can be modified for
section describing the model problems wedevised for an engineering economy analysis. Finally, we conclude by describing the futuredirection of this study.Understanding an Income StatementThe purpose of an income statement is to provide investors the most accurate description of thecompany’s profitability over a set period of time, usually a fiscal quarter (3 months) or a fiscalyear (12 months). This includes an estimate of the firm’s sale, costs, increase or loss in intangiblevalue, taxes, outstanding shares, and how the resulting net profit is divided among shareholders.But as stated earlier, we would be dealing with operational costs. Among them are2 – (a) Total Revenues: This is the amount of money earned by selling the product. (b) Cost
(b) 8 Players Registrar Task 1 Task 2 Task 3 Scheduler Red Receptionist Blue Registrar Task 1 Task 2 Task 3 Scheduler (c) 11 Players Figure 5. Variable number of participants from 6 to 11 players enabled by modular tasksAnother key to the improved flexibility of number of participants is that the roles of Receptionistand Registrar can be either combined or separated as shown in (a) and (c) of Figure 5. When thetwo roles are combined, the game setting can accommodate even numbers of participants.Separating the two roles
, other students reported “It was a good course, and the robotswere pretty fun. The simulation of a part being cut and watching it in real time was awesome.”Another student said, “The concept of this course was very interesting and can be applied toplenty of real-life applications.”Final course grade data indicate that all students enrolled in the IRAM courses earned passinggrades. Final average grades were in the B range, approximately 79.5%. Three students earnedA’s in IEGR 488; two students earned A’s in IEGR 470; and one student earned an A in IEGR468. Figure 3 displays the distribution of final grades for each course.Goal 3 - Assessing educational impact with mini-module laboratory projects for problemsolving.The review of course syllabi
Tragedy: Union Carbide chemical plantAdditionally, the students will also be required to complete a weekly survey questionnaire aftereach lecture / module so that the instructors and the course developers can use student feedbackas a part of continuous process improvement. The structured questionnaire will be a blend of Page 25.1090.7ranking and open-ended questions and will require feedback from the students regarding theoverall quality of the lecture and the discussions / case studies. A sample questionnaire isprovided in Appendix B of the paper.ConclusionsThe authors admit that the set of failures used for the alpha version of this course, to
described ACP reports cost based onschedule accomplishment, rather than on the passage of time. To determine how anuncompleted task is progressing with respect to cost, ACP compares:(a) cost/progress relationship budgeting with(b) the cost/progress relationship expended for the task.It utilizes data accumulated from periodic reports and from the same data basegenerates the following: The relationship between cost and scheduled performance The accounting relationships between cost and fiscal accounting requirements The prediction of corporate cash flow needs Page 25.184.3Unfortunately, the development of PERT/schedule techniques are still in its
) Curricula Design and Materials Development, (b) Instruction Delivery Systems, (c) Student Experiential Learning, and (d) Student Recruitment and Retention.(a) Curricula Design and Materials Development BGREEN is a STEM project that supports the integration of agricultural sciences withthe basic and applied aspects of the traditional STEM disciplines[6]. The focus of BGREEN is tomeet current and future sustainable energy workforce needs, and to better prepare students towork at different USDA agencies. Therefore, curricula will be developed/adapted based oninputs from faculty and USDA leaders. A curriculum development team has been establishedwith members representing university and USDA leaders. The curriculum development team
Training Notes (rough)Q&P Logistics: 1. Classroom a. Review slides up to roles b. Have students review roles, select roles, mind quantities of each role c. GTA provide assigned roles on printed form from data spreadsheets d. Students work on pre-lab to finish off Classroom session, instructional team answers questions, complete pre-lab by beginning of Q&P Lab session, must use Classroom Q&P slides to answer questions 2. Before Lab a. Students finish pre-lab by beginning of Q&P Lab session (continued) b. Setup lab with initial layout (provided below) (see setup qty’s in doc) c. Have each station primed and ready to go with one of each variety
AC 2012-5133: INSTRUCTOR’S PERSPECTIVES OF TRANSFORMINGA TRADITIONAL ENGINEERING ECONOMICS COURSE INTO A FULLYONLINE DELIVERYMs. Pil-Won On, University of Missouri, Columbia Pil-Won On is am Instructional Designer/E-learning Specialist at the College of Engineering, University of Missouri, Columbia. On holds an M.S. in instructional systems technology from Indiana University, Bloomington.Dr. Luis Occena, University of Missouri, Columbia Page 25.787.1 c American Society for Engineering Education, 2012 Instructor’s Perspectives of Transforming a Traditional Engineering
AC 2012-4451: A REVIEW OF CAPSTONE COURSE DESIGNS USED ININDUSTRIAL ENGINEERING PROGRAMSDr. Denise H. Bauer, University of Idaho, Moscow Denise H. Bauer received her Ph.D. in industrial engineering from Pennsylvania State University in 2007. She received a M.S. in industrial engineering as well as a B.S. in engineering dcience from the University of Tennessee. Bauer’s research in engineering education centers around the use of technology mainly as a means of communication for remote engineering group work. She received a NAE CASEE postdoctoral fellowship to study what communication methods students used to communicate with group members during online classes and their feelings on their importance. She is also
AC 2012-3138: WHEN TO START COLLECTING SOCIAL SECURITY:DESIGNING A CASE STUDYDr. Ted Eschenbach P.E., University of Alaska, Anchorage Ted Eschenbach, P.E., is the principal of TGE Consulting, an Emeritus Professor of engineering man- agement at the University of Alaska, Anchorage, and the Founding Editor Emeritus of the Engineering Management Journal. He is the author or coauthor of more than 200 publications and presentations, in- cluding 15 books. With his coauthors, he has won best paper awards at ASEE, ASEM, ASCE, and IIE conferences, and the 2009 Grant Award for the best article in The Engineering Economist. He earned his B.S. from Purdue in 1971, his doctorate in industrial engineering from Stanford University
economic analysis, sustainable engineering, and integrated resource management. She is a member of ASEE, ASEM, APICS, IIE, and SWE. She is a licensed P.E. in Kansas.Dr. Edward A. Pohl, University of Arkansas Edward A. Pohl is an Associate Professor in the Department of Industrial Engineering at the University of Arkansas. Pohl spent 20 years in the U.S. Air Force, where he served in a variety of engineering, analysis, and academic positions during his career. He received a Ph.D. in system and industrial engineering from the University of Arizona in 1995, a M.S. in reliability engineering from the University of Arizona in 1993, a M.S. in system engineering from the Air Force Institute of Technology (AFIT) in 1988, a M.S
, introduced the same course material, and students were given the samehomework assignments, quizzes, and exams. Clickers were introduced in the experimentalsection but not in the two comparison sections. The experimental section (fall, 2011) consistedof 67 industrial engineering students and while comparison section A (fall, 2010) also consistedof only industrial engineering students (61 students enrolled), comparison section B (fall, 2011)consisted of 69 students that were primarily civil engineers but also included students frommechanical, computer, and electrical engineering. In addition, while both the experimental andcomparison section A were taught in two one hour and fifteen minute lectures per week,comparison section B was taught in one two
AC 2012-3147: HYBRID DELIVERY OF ENGINEERING ECONOMY TOLARGE CLASSESKellie Grasman, Missouri University of Science & Technology Kellie Grasman serves as an instructor in engineering management and systems engineering at Missouri University of Science and Technology. She holds graduate degrees in engineering and business admin- istration from the University of Michigan and began teaching in 2001 after spending several years in industry positions. She was named the 2011-12 Robert B. Koplar Professor of Engineering Management for her achievements in online learning. She serves as an eMentor for the University of Missouri System and earned a Faculty Achievement Award for teaching.Dr. Suzanna Long, Missouri
ork. The estim mates repressent “planneed value” forr a task and aarecompared d with actuaal value that is i accountedd for while trracking prodduction whenn the taskcommencces. The proj oject manageer collects job b tickets from the site thhat show ratee of productiionfor the taask. The dataa tells them if i they are unnder or over budget or ahhead of or behind scheddule.The impo ortance has always a been stressed thaat project maanagers shouuld be aware of how theproject was w estimated d in case anyy changes occcur.Data thatt is proprietaary or that is acquired thrrough a subsscription fee can presentt a barrier
levels of productivity. Such exhortations only create adversarial relationships, as the bulk of the causes of low quality and low productivity belong to the system and thus lie beyond the power of the work force.11. a. Eliminate work standards (quotas) on the factory floor. Substitute leadership. b. Eliminate management by objective. Eliminate management by numbers, numerical goals. Substitute leadership.12. a. Remove barriers that rob the hourly paid worker of his right to pride in workmanship. The responsibility of supervisors must be changed from sheer numbers to quality. b. Remove barriers that rob people in management and engineering of their right to pride in workmanship. This means, inter alia, abolishment of the
and multiple dimensions of learning. The rubric has been reproduced in Appendix B. 3. The data obtained was based on Likert Scale and was tabulated and recorded using an excel spreadsheet. The scale is named after its inventor, psychologist Rensis Likert and is the most w idely used approach to scaling responses in survey research. Principles of Likert Scale are outlined in Appendix C. 4. Anthony F. Gregorc is best known for his theory of a Mind Styles Model and Gregorc Style Delineator. Discovery approach was strongly influenced by Gregorc’s Mind Styles Model. Dr. Gregorc's powerful and widely used instrument is shown in Appendix D. 5. The data collected has been tabulated using an excel
the researcher anonymously; with 5 out of the 10students who completed the course responding.The students attending the IEGR461 were already familiar with the structure of the class and itstime requirements. They continued to report: a high self-confidence in their knowledge of thematerial; strengthening of their time management skills; and beneficial participation in a grouplearning environment. They unanimously agreed that enough help was available from theinstructor, classmates, and the supplemental materials.Although the students responding to the survey self-assessed their grades as either ‘A’ or B’, agoal of the survey was to parse out problems areas related to the failure or reduce performanceon the topic tests. When asked, ‘what
theconsequent accreditation requirements of the Institute of Professional Engineers New Zealand(IPENZ).The four-year BE programme is internationally benchmarked to the graduate profile agreedby the member countries of the Washington Accord (WA). In New Zealand, the Institute ofProfessional Engineers (IPENZ) acts as the approval and accrediting body in New Zealandand are a signatory of the Accord1.AUT Bachelor programmesAUT offers a four year Bachelor of Engineering (BE) (honours) programme and a three yearBachelor of Engineering Technology (B Eng Tech) programme. The four year BE (Honours)programme at AUT is designed for students who wish to become engineers and preparesgraduates for membership of IPENZ (MIPENZ). The mathematical underpinning of
’ of Engineering Economy,” Proceedings of the 2006 American Society forEngineering Education Conference, (CD-ROM), June, 2006.7. Hartman, J.C., “Using ‘Real World’ Problems in Engineering Economy,” Proceedings of the 2004American Society for Engineering Education Annual Conference, (CD-ROM), June, 2004.8. Peterson, W.R., R.E. Landaeta and B. Magary, “Is it Time for a New Paradigm?” Proceedings of the 2005American Society for Engineering Education Annual Conference (CD-ROM), June, 2005.9. Voss, Pieter A., James M. Tien, Anil K. Goyal, “A Risk Analytic Approach to Learning EngineeringEconomy,” Proceedings of the 1996 American Society for Engineering Education Annual Conference (CD-ROM),June, 1996
nutritional requirements. b. (10 points). Our university keeps an IT phone service line (2002) for use by all students, faculty, and staff. During working hours an operator must be available to answer the phone and schedule the technicians if a service is required. Mr. T, the director of the IT line, oversees the operation. It is now the beginning of the fall semester, and Mr. T is confronted with the problem of assigning different working hours to his operators. Because all the operators are currently enrolled in classes, they are available to work only limited number of hours each day, as shown in the following table. Page 25.159.12
AC 2012-2965: EMBEDDING LEADERSHIP TOPICS IN THE ENGINEER-ING CURRICULUMDr. Gene Dixon, East Carolina University Gene Dixon teaches aspiring engineers at the undergraduate level at East Carolina University. He has held positions in industry with Union Carbide, Chicago Bridge & Iron, E.I. DuPont & deNemours, West- inghouse Electric, CBS, Viacom, and Washington Group. He has spoken to more than 25,000 people as a corporate trainer, a teacher, and a motivational speaker. He received a Ph.D. in industrial and sys- tems engineering and engineering management from the University of Alabama in Huntsville, a master’s of business administration from Nova Southeastern University, and a bachelor’s of science in
Some College 0 Two year college degree 0 Four year college degree 4 Master's degree 3 Doctoral degree 1 Professional degree (MD or JD) 1 Current Enrollment <12 hours 1 12 – 15 hours 7 > 15 hours 3Table 2. Student Performance Exceptional Effective Acceptable Unsatisfactory Component (A) (B) (C) (D-F) Sampling
AC 2012-3984: HIGHLY RELEVANT AND PRODUCTIVE COLLABORA-TIONS BETWEEN INDUSTRIES AND UNIVERSITIESDr. Mahesh C. Aggarwal, Gannon University Mahesh Aggarwal has been a faculty member at Gannon University since 1978. He graduated from Marquette University with a M.S. and University of Michigan with Ph.D. in thermal science area. He has worked for numerous companies and is currently working with GE Transportation in Erie, Penn. At GE, he is the coordinator of GE/Gannon MS Program. He has seven patents with GE Transportation over the last 10 years. He is an active member of the ASME, serving as Chair to numerous groups. He served as Vice President for Region V (District B now) and is actively involved in precollege
. Assessment criteria can include: (a) Whether the problem was accurately defined (the Problem as State & Problem as Understood)? (b) Did the solution(s) solve the problem? (c) Did the student engage in critical thinking? (d) How is the solution going to be implemented? (identify concerns). (e) During student presentations: evaluate the use visuals, and presentation preparation & skills. (f) During group/team presentations: evaluate the quality of collaboration and initiatives undertaken by individual team members.(3) Student input should be part of the assessment process: Use class discussions to evaluate/critique PBL assignments/activities. Select
the color of the nodes of Figure 1.Case Study OutlineA suggested outline to follow in preparing a case study is provided in Appendix B. Each mainsection (whose sub-title is indicated by the index integers [for short-hand reference] and in bold-faced type) of this outline is explained in detail as follows. Relatively minor sections and addi-tional optional aspects (that can be pursued by the author(s) are indicated in brackets […]) of theoutline are not given integer indices.Case Study ElementsThis first section is intended to be a “bulletized” executive summary that can be: 1) used for sort-ing among all case studies; and 2) scanned quickly to understand the nature of the case study.The Fundamental Essence and Topical Relevance, respectively
framework," Doctor of Philosophy Mechanical & Aerospace Engineering Massachussetts Institute of Technology Cambridge, Massachussetts, 2002.[15] J. Jackson. (2007, July 27, 2007) Offshore Outsourcing has Risks Article Alley. Available: http://www.articlealley.com/article_193815_15.html[16] J. Vijayan and T. Hoffman, "Improved Service top cited outsourcing goal," Computerworld vol. 31, p. 10, Dec 1 1997.[17] G. Kaufman, "Bank failures, systemic risk and bank regulation," CATO Journal vol. 16, p. 29, Spring/Summer 1996 1996.[18] S. J. Gandhi, A. Gorod, B. Sauser, and V. Ireland, "Systemic Risk Managenent in System of Systems " Engineering Management Journal 2012.[19] T. E. Djaferis, "An Introduction to
summary statistics, statistical models were builtto predict exam performance based on the variables outlined in the previous sections. Logisticregression was chosen because of the non-normality of the outcome variable (exam scores) andthe many categorical variables. For a logistic regression model, the outcome variable must bedichotomous. As a result, the exam score variable was transformed to a binary variable with 1indicating the score was 80% or higher (A or B) and 0 indicating the score was less than 80% (C,D, or F). Multinomial regression was considered but rejected because of concerns that there wasnot a large enough sample size for this technique.Instead of one model that predicts the overall course grade, three models were built to
reflections located relevant information located in these located in these in these cells B—Articulate uncertainties cells cells Step 2: EXPLORE C— Overall, FIRST Integrate multiple reflections Overall, SECOND perspectives and located in these reflections located clarify assumptions D—Qualitatively cells in these cells interpret information and create a Overall, SECOND meaningful reflections organization
follows: A. Easy-to-use – user-friendliness of software in terms of creating the simulation model, visualization, preparing animations, cooperation with Excel, preparing presentations, distinguishing various competence levels of users, B. Direct cooperation with a 3D model – students are very enthusiastic about working with 3D models, C. User-friendliness in terms of optimization possibilities D. Easy-to-create statistical distributions, E. Free access to the so called viewer, which makes it possible to start simulation without changing the model and input data, F. Elasticity, positive attitude of the software distributor towards the idea of cooperation between a university, industry and software distributor