Project and Systems Engineering Management”, 3rd Edition, 2008, John Wiley2. Sage, A. and C. Cuppan (2001). “On the Systems Engineering and Management of Systems of Systemsand Federations of Systems.” Information, Knowledge and Systems Management 2(4): 325-345 Page 14.1117.7
107 Fig. 5. Distributed dynamic process simulator in PureWaterLab.AcknowledgementsDevelopment of SimzLab has been supported by the U.S. National Science Foundation throughawards including DUE-0443044. Students contributing to the project include UCSD graduatestudent Hsu-Wen Hsiao and UA undergraduate students Erica Reiner, Chris Poole, MeganMeyer, Jason Kim, Adam Burkhart, David Bartz, and Michael Hwang.References1. "Revolution" software development tool, developed and distributed by Runtime Revolution Ltd., Edinburgh, Scotland , accessed February 19, 2009.2. Zacharia, Z. (2003) Beliefs, attitudes, and intentions of science teachers regarding the educational use of computer simulations and inquiry-based experiments
isexplicitly or implicitly expected”7.Following the “Guiding Principles” and the “Framework” provided in sections 4 and 5 of ISO10001: 2007, respectively, the objectives, processes and resources for the application of threeS2C2s, as well as the codes themselves, were planned and developed in accordance with section 6of the standard. The S2C2s included the “response” code, which guaranteed the professor’sresponse to a student inquiry within a set time, as well as the “review” and “schedule” codes,which promised prompt review of projects, assignments and exams, and conformance to the setlecture schedule, respectively. Subsequently, the first two codes were implemented in all fourcourses, while the schedule code was used in courses “A”, “B” and “D”. The
study. When we entered the classroom and approached the female students, we were immediately surrounded by male students; it was kind of intimidating. It was not only that the male students were curious about the visitors and the project; it was like they were trying to protect their female peers. In addition, male students showed their pride in their female classmates, they told us that female students were better than them, ‘they [female students] are the best students [academically] [ellas son las más aplicadas].Literature on women’s learning33 suggests that women’s preferences are for learning that iscooperative, and studies on women in engineering22,23 indicate that a competitive climate hascontributed
. During the 2006-2007 academic year, Barbara was a part-time visiting professor in Purdue University’s Engineering Education Department. Her research interests focus primarily on understanding and assessing engineering student learning, including recent work developing concept inventories for engineering topics with colleagues from CSM and Purdue. She has participated in a number of curriculum innovation projects and has been active in the engineering education and assessment communities. Barbara is a Fellow of the American Society for Engineering Education (ASEE), currently serving as the Chair of the International Advisory Committee of ASEE. She is also a member of the Advisory Committee
the model that Purdue has, short trips might be the best way to begin. Two to fourweeks would be a good start for a small group of bioengineering students to travel toanother country and interact with students there. A good example of this type of trip is aninitiative in the aerospace engineering department at Arizona State Univerisity – studentsfrom ASU collaborate with students from ITESM’s Monterrey campus to complete theirSenior Design projects. They communicate via teleconference and email throughout theyear and then spend three weeks together to assemble and present their completedproject. If relationships such as this could be initiated for the other disciplines, thatwould beneficial; the potential for positive cultural and
AC 2009-1142: ASSESSING ENGINEERING MANAGEMENT STUDENTS’PERCEPTION OF ON-LINE LEARNINGErtunga Ozelkan, University of North Carolina, Charlotte Ertunga C. Ozelkan, Ph.D., is an Assistant Professor of Systems Engineering and Engineering Management and the Associate Director of the Center for Lean Logistics and Engineered Systems (CLLES) at the University of North Carolina at Charlotte (UNC Charlotte). Before joining academia, Dr. Ozelkan worked for i2 Technologies, a leading supply chain software vendor in the capacity of a Customer Service and Curriculum Manager and a Consultant. He also worked as a project manager and a consultant for Tefen Consulting in the area of productivity improvement
: smile, employ naturalposture and movement, frequent gestures, varied facial expressions, make only occasional glancesat notes, and maintain frequent eye contact with the audience (especially with the students in theback of the classroom). Present at least some of the lecture as you walk around the room. Whilespeaking, try to project relaxed confidence, enthusiasm and passion for the topic, honesty, concernfor the students, openness, warmth, and a sense of humor. Try to minimize distractive behaviorssuch as leaning against a wall or a board, repeating ”you know what” or ”uhm”, and repetitivemovements [2].Include breaks in lectures. Do not lecture for more than 20 minutes without some sort of astudent-centered break. Students cannot pay attention
instrument ineducation3 and its integration is often seen as a significant force driving change4. It is nowcausing educators to re-think the very nature of teaching and learning. But where do you start?How can instructors design powerful, innovative, and effective web-based environments that canbe successfully integrated in a face-to-face class or stand alone to support a distance course?In this paper, we answer the question from the perspective of a four-year long project that led aninstructor from using an institutional, unimaginative, web-based template to designing a fullycustomized, award-winning course that truly reflected his teaching style and philosophy,supported the institution’s mission statement and the course objectives, and supported
Department’steaching load rapidly expands to meet larger enrollments. This growth is attributed to theincreasing size of each graduating class from 84 to over 300 cadets and the development ofsenior level engineering courses. In the first year of teaching to a class of juniors only, a facultyof 5 taught a total of 14 sections during the spring and fall semesters of 2007. In the second yearof teaching to both senior and junior classes, a faculty of 13 taught a total of 52 sections duringthe fall and spring semesters. This rapid expansion, shown in Figure 3, is projected to continueuntil reaching a steady state of 92 annual sections for 2011 and beyond. Page 14.694.6 60
AC 2009-1879: THE BIG PICTURE: USING THE UNFORESEEN TO TEACHCRITICAL THINKINGChristy Moore, University of Texas, Austin CHRISTY MOORE is a Senior Lecturer in the Department of Mechanical Engineering at the University of Texas at Austin where she teaches engineering communication courses and a signature course on “Society, Technology, and the Environment.” Her pedagological and research interests include service-learning projects, engineering ethics and professional responsibility, research ethics, and strategies for advancing students' analytical and rhetorical skills. She is co-PI on an NSF project, The Foundations of Research Ethics for Engineers (FREE) and collaborated on the
spring semester 2004*. Date Concept development OTA design* Advanced design Projects 2003 6.5 wk 5 wk 1.5 wk 1.5 wk 2004 6.0 wk 5.5wk* 2.0 wk 1.5 wk 2005 6.0 wk 4.5wk 2.5 wk 1.5 wk 2006 6.5 wk 4.0wk 2.5 wk 1.5 wk 2007 6.0 wk 3.5wk 3.5wk 2.0 wk Table 4-1: Measure of the impact of the algorithm on Analog IC design course. Theschedule is a nominal 15 weeks. The data is taken from end semester class schedules as werereadjusted during the progress of the
Page 14.695.2with support from the college administration, alumni, corporate entities, and from variousresearch agencies such as the NSF. Innovations include the incorporation of freshman hands-onmechanical dissection labs, multi-disciplinary projects, and integrated subject material courses toname a few. Most notable among the teaching/learning innovations are the College’s efforts inthe effective use of computing and communication technology in the curriculum. This effortspans the breadth of digital network communications technology from gigaPOP networkingthrough advanced wireless nets, utilizing a broad spectrum of computing devices from personaldigital assistants through multiprocessor super computers. In this paper we describe howpersonal
notes, Supplement instructor provided notes with your own, Take all of your own notes, Not take notes at all)9. When do you refer to your notes outside of class (mark all that apply)? (Answers: Doing homework, Working on Projects, Before exams/quizzes, Never)10. When do you refer to the course notes posted on Angel (mark all that apply)? (Answers: Right after class, Doing homework, Working on projects, Before exams/quizzes, Never)11. When you reference the course notes posted on Angel do you (mark all that apply): (Answers: Print them out, Save them for future use, Access Angel when needed, Don’t use the notes on Angel)12. How often did your instructor use DyKnow during lecture? (Answers: Very Frequently, Frequently
seemed to be a viablealternative. Page 14.302.2Working together, a team partnering people from both Georgia Tech and the Fulton CountySchool System investigated the many challenges inherent in such projects, and proposedpotential solutions. Team members from the university included representatives from the Schoolof Mathematics, the Office of Undergraduate Admission, the Office of Financial Aid, CEISMC,and the Distance Learning and Professional Education (DLPE) office, and from the schoolsystem included the school system curriculum coordinator, technology staff, and high school-level teachers and administrators.The objectives of the program were
component with each module of the CCNAExploration curriculum. Typically, it requires two hours per week for each module in a typicalsixteen week semester. Cisco Networking Academy provides students with lab projects either indownloadable PDF files or if they wish, student can purchase the lab textbook15 from CiscoPress. The proposed course curriculum also includes a lab component which is vital forunderstanding key concepts in each chapter. Ideally the lab should include Cisco routers andswitches to provide hand-on learning experiences, but Packet Tracer can be used to facilitate therequired learning if the instructor of the course is familiar with routers and switchesconfigurations. The lab projects can be mapped into the course learning outcomes
between some Maturity Models for EducationStages Description Per Maturity ModelLevel 0 EMM: Not performed: Not done at all.Level 1 E-CMM: Initial: Ad-hoc Processes EMM: Initial: Ad-hoc Processes ERP Maturity Model on Education: Initial: Enterprise systems curriculum not well defined CEMM: Initial: Educational processes are informal and poorly controlledLevel 2 E-CMM: Independent: Basic education level processes are established. EMM: Planned: Clear and measurable objectives for e-learning projects ERP Maturity Model on Education: Repeatable: One or more courses are defined with ERP concepts CEMM: Repeatable: Planning and
CS 4621 Option Group CS 4701 CS Electives OR CS 5150 CS 5410 CS Project CS 5450 CS 2110 CS
Safety and EdD in Educational Leadership from East Carolina University.Michael Bosse, East Carolina University Michael J. Bossé is an associate professor in the Department of Mathematics, Science, and Instructional Technology Education at East Carolina University. Having earned his PhD at the University of Connecticut, he continues to research and publish in various areas of mathematics education including: learning and cognition, pedagogy, technology, distance education, integration and curriculum.Laurie Moses, East Carolina University Laurie A. Moses is serving as project coordinator for an NSF grant, and she is also a graduate student at East Carolina University. She received her BA in
AC 2009-555: EFFECTIVE CRITERIA FOR TEACHING AND LEARNINGAdrian Ieta, State University of New York, Oswego Adrian Ieta holds a Ph.D. in Electrical Engineering (2004) from The University of Western Ontario, Canada. He also holds a B.Sc. in Physics from the University of Timisoara, Romania (1984), a B.E.Sc. in Electrical Engineering from the Polytechnical University of Timisoara (1992), and an M.E.Sc. from The University of Western Ontario (1999). He worked on industrial projects within the Applied Electrostatics Research Centre and the Digital Electronics Research Group at the University of Western Ontario and is an IEEE member and a registered Professional Engineer of Ontario. He
AC 2009-589: REPAIRING MISCONCEPTIONS: A CASE STUDY WITHADVANCED ENGINEERING STUDENTS ON THEIR USE OF SCHEMATRAINING MODULESDazhi Yang, Purdue University Dazhi Yang is a postdoctoral researcher in the School of Engineering Education at Purdue University, West Lafayette, IN. She obtained both her master’s and Ph.D. degrees in Educational Technology from Purdue in 2004 and 2008, respectively. Prior to joining the School of Engineering Education, Dr. Yang worked on a variety of interdisciplinary research projects in instructional design, distance and online learning, assessment and evaluation, technology integration, and information security and assurance in K12 schools. She is the 2009 Young
AC 2009-690: BAJA SAE COMPETITIONS: MEETING AND INTERACTINGWITH INTERNATIONAL STUDENTS – EXPERIENCES OF STUDENT ANDUNIVERSITY PARTICIPANTSDavid Hallbach, Rochester Institute of Technology David W. Hallbach, Rochester Institute of Technology David Hallbach is a Fifth year Mechanical Engineering Technology student at the Rochester Institute of Technology. He has been an active member of the University's Baja SAE program, having held several leadership roles including team manager. He is currently working on several projects pertaining to manufacturing processes for which he is striving to obtain several patents. He is a recipient of the RIT Scholarship Award for his excellence in
University of West Florida in Pensacola, Florida. His research interests include optimal control, control of flexible structures, and power systems. Dr. Lau was the recipient of the Student Best Paper Award at the 2001 American Control Conference held in Arlington, Virginia. He was also co-recipient of the 2000 Colorado Advanced Software Institute Exemplary Project Award.Sastry Kuruganty, Universidad del Turabo Sastry P. Kuruganty (IEEE M’76–SM’81) was born in India. He obtained his B.E and M.E in electrical engineering from Birla Institute of Technology and Andhra University, India, in 1964 and 1966, respectively. He obtained his M.S. degree in electrical engineering from the University of
of the 2009 Midwest Section Conference of the American Society for Engineering Education 4Table 3 summarizes the features and shortcomings of the Year 1 institute. The teachers enjoyedthe hands-on experimentation, rated the workshop as a great learning experience and invitedseveral of the professors from the U of A for follow-up visits to their classrooms. While thesummer institute gave the teachers eight hands-on experiments for use in their classrooms (notbad for last minute work due to late funding of the project), the teachers did not actually usemany of the experiments in their classrooms because they did not feel comfortable with
felt that this course didn't teach me how to write programs only a few key algorithms. I feel that the course shouldbe more focused on the coding and not the algorithmsNO MORE ONLINE CLASSES, I PAY MY TUITION TO LEARN FROM A HUMAN NOT ACOMPUTER!!!!!!!!!!!!!This is an excellent introductory course in programming for any non computer engineering student. I think thestructure of the exams should be changed; I think the exams should be more like project-oriented.This is a great course overall, but there has to be a class before this at least to show us how programming works; toteach us the basics of programming and getting familiar with it. This course just jumps ahead and you can fall backvery easily.go a little slower in the beginning, since
judgement to projects that may be large and expensive, high risk, andaffect the public safety. While some choices are black and white, many are “gray.” As a resultsometimes the choice is between two “right” solutions and sometimes it is the “lesser of two Page 14.720.4evils.” Failing to act ethically can have legal and disciplinary consequences, such as the loss of “Proceedings of the 2009 American Society for Engineering Education Annual Conference & Exposition Copyright 2009, American Society for Engineering Education”personal or corporate reputation, loss of a job, failure of a company, or personnel
-Engineering and Mechanical. Because of thisdiverse student population and potential interests, efforts are made to make the case studysubjects as general as possible with detailed discipline specific technical analyses minimized.Generally, the case study work concentrates on the evaluative nature of engineering work such asidentifying important variables in a problem, project assessment, and system analysis. Highlytechnical aspects of engineering such as detailed design, process development, and detailedanalysis are avoided.Case studies are organized as portions of three or four class periods. In the first class period, apresentation/lecture introduces the case study giving the historical and background informationconcerning the subject. During this
in Electrical Engineering from Texas A&M University. She joined the University of Houston in 1993 where she is a full Professor of Engineering Technology and Electrical and Computer Engineering. She is an IEEE Senior member and is actively involved in teaching, research and consulting in the area of power electronics, motor drives, power quality and clean power utility interface issues.Farrokh Attarzadeh, University of Houston Dr. Attarzadeh is an associate professor of Engineering Technology. He teaches software programming, digital logic, and is in charge of the senior project course in the Compute Engineering Technology Program. He is a member of ASEE and serves as Associated Editor for
. Currently, he is an Associate Professor of Electrical and Computer Engineering Department. During the last 20 years, he has been working in the areas of hierarchical multiprocessors, hierarchical networks, performance analysis of computer systems, digital signal processing, embedded systems, in-vehicle networking, performance analysis of networking protocols, secure wireless communications, and privacy protected vehicle-to-vehicle communications and simulation techniques. He has supervised a number of projects from Ford Motor Company and other local industries. He also served as a Co-PI on two NSF funded projects. He has published over 100 peer-reviewed journal and conference proceeding papers. He
required in order to solve a particularproblem vs. the amount of structure you (as the instructor) prefer. It can be difficult to evaluatethe solutions of others in a way that is truly objective with respect to style, but if we are toadvocate the understanding and appreciation of cognitive diversity, we must be prepared to setthe right example from the start.Implications for Collaborative (Team) Problem SolvingOne of the most important implications of cognitive diversity arises when students need tocollaborate (e.g., in project work, team assignments, etc.). While Adaption-Innovation theorycannot predict whether a student prefers working in groups, it can help explain the relativesensitivity to and importance of group consensus and adherence to