After completing the laboratory assignments, students should be able to: 1. Construct CANoe applications. 2. Create database to store all objects needed to complete a CANoe application. 3. Create panels and identify different types of controls that can be placed on the panels. 4. Configure nodes to use environment variables to pass data of external events to the network. Page 14.1148.6 5. Configure the simulation environment and add nodes to the network. 6. Write code using CAPL to implement various types of events. 7. Use CAPL to simulate node behavior
serves as the College Coordinator for engineering education research, and is an Associate Professor in the Computer Science and Engineering Department, MSU. Dr. Sticklen has lead a laboratory in knowledge-based systems focused on task specific approaches to problem solving. More recently, Dr. Sticklen has pursued engineering education research focused on early engineering; his current research is supported by NSF/DUE and NSF/CISE.Mark Urban-Lurain, Michigan State University Dr. MARK URBAN-LURAIN is the Director of Instructional Technology Research & Development in the Division of Science and Mathematics Education, College of Natural Science at Michigan State University. He is
constructivist theory and issues of equity. Her research focuses on issues of gendeAmaneh Tasooji, Arizona State University Amaneh Tasooji, Arizona State University Amaneh Tasooji is an Associate Research Professor in the School of Materials at ASU and has been teaching and developing new content for materials science and engineering classes and laboratories. She has developed new content and contextual teaching methods from here experience as a researcher and General Manager at Honeywell Inc. She is currently working to develop new assessments to reveal and address student misconceptions in introductory materials engineering classes.Stephen Krause, Arizona State University Stephen Krause, Arizona
AC 2009-1899: ENGAGING EARLY ENGINEERING STUDENTS (EEES):BACKGROUND AND GOALS OF AN NSF STEP PROJECT TO INCREASERETENTION OF EARLY ENGINEERING STUDENTSJon Sticklen, Michigan State University Jon Sticklen is the Director of the Applied Engineering Sciences major, College of Engineering, Michigan State University. Dr. Sticklen also serves as the College Coordinator for engineering education research, and is an Associate Professor in the Computer Science and Engineering Department, MSU. Dr. Sticklen has lead a laboratory in knowledge-based systems focused on task specific approaches to problem solving. More recently, Dr. Sticklen has pursued engineering education research focused on early
research, particularly in the U.S. Wankat, for example, analyzed Journalof Engineering Education articles from 1993-1997 (n = 230) and 1993-2002 (n = 597).7-8 Sincethe journal did not use author-defined keywords during these periods, the author generated thefollowing list of categories and assigned up to four categories to each article:1. Teaching 7. ABET* 13. Distance Education* 19. Retention2. Computers 8. Learning 14. Communication/Writing 20. Programming*3. Design 9. First Year 15. Ethics 21. Aeronautical Eng**4. Assessment 10. Curriculum 16. Experiential/Hands On* 22. Quality,5. Groups/Teams 11. Laboratory 17
but merely to give representative examples. In requiredcourses with a specific technical focus, PBSL is typically incorporated at the discretion of theinstructor. For example, in Prof. Joel Burken’s Solid Waste Management course 18 studentsworked on project for the local community and Missouri University of Science and Technology Page 14.873.6(http://ugs.mst.edu/documents/FS_2008_ASL_Courses.pdf). As part of the SLICE program,students in the junior-level Environmental Engineering Laboratory analyzed road salt and otherchemicals in roadway runoff for the Town of Dunstable. The next semester in the WaterResources Engineering course, the same
students are female, 35% are non-White/Caucasian, 22% are special needs students, and about 14% have been designated as“gifted.” He spends about 25% of this teaching in lecture/demonstration, with the rest of itsupervising students working in the classroom or laboratory components of the TechnologyEducation course. He believes that 67.7% of his instruction “engages students in problem-solving activities” and believes that nearly half (48.7%) of that instruction “engages students inlearning mathematics or science.”We found significant differences between Middle School Technology Education and HighSchool Technology Education. Table 1 identifies some of these differences.Table 1: Differences between Middle School and High School Technology Education
AC 2009-1404: "REAL OUTREACH EXPERIENCES IN ENGINEERING":MERGING SERVICE LEARNING AND DESIGN IN A FIRST-YEARENGINEERING COURSEChristopher Williams, Virginia Tech Christopher Bryant Williams is an Assistant Professor at the Virginia Polytechnic Institute & State University with a joint appointment in the Mechanical Engineering and Engineering Education departments. Professor Williams is the Director of the Design, Research, and Education for Additive Manufacturing Systems (DREAMS) Laboratory. His joint appointment reflects his diverse research interests which include design, methodology, layered manufacturing, and design education.Richard Goff, Virginia Tech Richard Goff is an
30 4.53 4.67 4.37 Page 14.1363.4 Up, Up, & Away 27 4.52 4.44 2.93 Airplane Design 28 4.50 4.54 4.64 Nestlé: Scale-Up Design 16 4.44 4.56 4.38 Cholera 27 4.30 4.30 3.74 Parallel Sorting 29 4.14 4.31 3.59 High Voltage Laboratory Tour 28 4.11 4.29 4.25 Engineering Drawing 29 4.10
AC 2009-162: INTRODUCING ROBOTSRyan Meuth, Missouri University of Science and Technology Ryan Meuth received his Bachelors and Masters degrees in Computer Engineering from the University of Missouri –Rolla in 2005 and 2007 respectively. He is currently a Computer Engineering PhD student at Missouri University of Science and Technology (formerly the University of Missouri – Rolla). He works as a research assistant in the Applied Computational Intelligence Laboratory, contributing to research projects on optimizing the behavior of robot swarms, large scale optimization problems such as computer Go, and high performance computing methods utilizing video game consoles and graphics processing units. His
the same time as providing motivation for the students byproviding this academic / “real” world link, the webquest also facilitates the primary languageobjective, which in this case is the composition of a written report in a suitable language register to bepresented to either an academic supervisor or a departmental superior.ImplementationThe webquest activity, unlike a normal English lesson, takes place in the departmental computer labs.Fortunately, the department is well resourced in the area of computer technology. In addition to twoCAD studios, the separate computer laboratory contains 22 separate Windows based PCs, eachnetworked and with internet access. During their first two semesters, students are required to undertakea course of 30
AC 2009-918: TEACHING ENGINEERING IN SINGLE-GENDERMIDDLE-SCHOOL CLASSROOMSJoy Watson, University of South CarolinaJed Lyons, University of South Carolina Page 14.1134.1© American Society for Engineering Education, 2009 Teaching Engineering in Single Gender Middle School Classrooms AbstractStudents in middle school are often given pre-planned laboratory experiments which providelittle or no opportunity to develop creativity or problem solving skills. This paper describes aninvestigation of middle school students’ reactions to an open-ended engineering design problem,specifically to create a machine to move a Cheerio™ or a plastic egg seventy centimeters. If theproblem was solved
5 NTIS: National Technical Information Service 3 DOD: Department of Defense 3 NRC: Nuclear Regulatory Commission 2 ‘Aerospace’ 2 DOI: Department of Interior 2 National Labs; e.g. Argonne, Los Alamos, Oak Ridge, Sandia 2 NOAA: National Oceanic and Atmospheric Administration 1 BAE: Bureau of American Ethnology 1 BIA: Bureau of Indian Affairs 1 BLM: Bureau of Land Management 1 Defense Research Laboratory 1 DOT: Department of Transportation 1 ‘Electrical Engineering’ 1 ‘Environmental Impact Statements (on Idaho) 1 Environmental issues and studies 1 ‘Fire, Safety, automobiles’ 1
AuburnUniversity, Auburn, Alabama; a major laboratory in India; and Indian Institute ofTechnology (IIT), Madras, India. The team at the NDE imaging and modeling labat the Indian research center was keen in developing a robust algorithm for theirautomatic defect recognition (ADR) system for welds. The main problems theteam faced in analyzing weld radiographs were (1) detecting weld defects in thepresence of weld ripples and (2) detecting very faint defects occurring at the edgeof the weld seam. The managers at this center wanted the team to develop newmethodologies to identify defects in welds for analyzing the radiographs andsolve the above problems. In order to bring this real-world issue into engineeringclassrooms, the authors developed a multi-media
. Also, many newlearners do not realize that copying and pasting other work, especially from online sources, isplagiarizing. An article by Brothers displays a pyramid chart, which is the result of a study byNational Testing Laboratories in Bethel, Maine (p. 78).9 The learning pyramid chart in thatarticle reveals the average retention rate for various methods of teaching and retention. Lectureretention is about 5% and reading about 10%. Creating an atmosphere of collaboration,participation, and learning-by-doing increases learning retention up to 50%, according toBrothers. Many learners come to class, sit and put in their time. Teachers must help studentsunderstand that attendance is a good start, but it not enough to justify a grade showing
, navigation, control, robotics and automation,modeling and simulation, system architecture, and neuro-fuzzy systems. He is currently the director of theAdvanced Marine Systems Laboratory, and is in charge of advanced marine vehicle research and development. Page 14.93.6 2009 ASEE Southeast Section Conference APPENDIX I (2004 MODEL SUBMARINE DESIGN WORKSHOP SURVEY) Categories Poor Fair Ave Good Excellent OverallPrevious interest in Ocean Engineering 0 3 3 8 4 3.72Interest in Ocean Engineering
past. One thing iscertain; this hands-on laboratory approach to a traditional lecture based class works well and willbe continued.Bibliography1. Allen, R. H. (2002). Impact teaching: Ideas and strategies for teachers to maximize student learning. Boston: Allyn & Bacon.2. Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom. (ASHE-ERIC Higher Education Report No. 1). Washington, DC: George Washington University.3. Crabtree, D. E. (1972). An Introduction to Flintworking. Occasional Papers No. 28. Pocatello, Idaho: Idaho State University Museum.4. Crawford, A. E., Saul, E. W., Mathews, S., & Makinster, J. (2005). Teaching and learning strategies for the thinking classroom
weighted accordingpredefined relationships, and final course grades are handed out. With this model ofdevelopment, all that is required is for the faculty member to store final assignmentgrades in the grade book.This, however, does not allow faculty members to compile student performance metricson a sub-assignment level. For example, the net final score would not reflect if half ofthe students are having extreme difficulty expressing the problems they encounteredwhile performing a laboratory experiment. Simply recording grades also does not allowone to readily factor in other aspects of grading, such as improvement with time in areasof difficulty. However, by converting the grade book into an electronic rubric book,multiple aspects of a student’s
AC 2009-1112: UNDERSTANDING AUTOMATED SYSTEM DESIGN PROBLEMSOLVING: CURRENT PROGRESS AND IMPLICATIONS FOR INSTRUCTIONSheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (“Tony”) Hsieh is an Associate Professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also the Director of the Rockwell Automation laboratory at Texas A&M University, a state-of-the-art
the Human Factors and Ergonomics Laboratory (HFEL). Dr. Khasawneh is a member of the Institute of Industrial Engineers (IIE) and the Human Factors and Ergonomics (HFES), the American Society for Quality (ASQ), and Alpha Epsilon Lambda (AEL) and Alpha Pi Mu (APM) honor societies.Krishnaswami Srihari, State University of New York, Binghamton Dr. Krishnaswami Srihari is a Distinguished Professor at the State University of New York and the Chair of the Department of Systems Science and Industrial Engineering at the State University of New York, Binghamton. He has worked in academia since the Fall of 1988. Since then, he has graduated more than 150 Masters students and 30 doctoral students. His
, reinforces thegraphical connections between the various representations of the motion and connects to a largerproblem-solving framework.1 Brasell, H. “The Effect of Real-time Laboratory Graphing on Learning Graphic Representations of Distance andVelocity,” Journal of Research in Science Teaching 24, (1987).2 van Zee, E.H., Cole, A., Hogan, K., Oropeza, D. and Roberts, D. “Using Probeware and the Internet to EnhanceLearning,” Maryland Association of Science Teachers Rapper 25, (2000).3 Beichner, R. J., “The Effect of Simultaneous Motion Presentation and Graph Generation in a Kinematics Lab,”Journal of Research in Science Teaching 27, 803-815 (1990).4 Mokros, J. R. and Tinker, R. F. “The Impact of Microcomputer-Based Labs on Children’s Ability to
of Outcome 5, 100 students enrolled inRobotics Programming over three years. Fifty-four students enrolled in the first year alone, andwe have scheduled additional sections for next year, based upon student interest.Future WorkThe first stages in the development of an undergraduate multidisciplinary robotics certificatehave proven to be very successful and beneficial to the institution and the student body. In thefuture, the PIs will seek federal and corporate grants to expand the certificate programming toinsure institutionalization and long term sustainability. This funding will be used to develop orrevise courses in the curriculum and to develop an integrated robotics research laboratory. Thislaboratory will be directed by the PIs of the
AC 2009-750: EDUCATING GENERATION Y IN ROBOTICSDavid Chang, United States Military AcademyPeter Hanlon, United States Military AcademyKirk Ingold, United States Military AcademyRobert Rabb, United States Military Academy Page 14.510.1© American Society for Engineering Education, 2009 Educating Generation ‘Y’ In RoboticsAbstractWe present our approach to educating the new Generation ‘Y’ using robotics in undergraduateeducation. This course is a laboratory based education for life-long learners through a look at anew course for non engineering majors in the senior year. As the centerpiece of this course, weuse a robotics platform to integrate introductory
ofinvestigations that began when the statistics showed that the leading cause of death in frontalcollisions was the impact of the driver against the steering column.Main functions of an airbag:≠ Avoid impact of the driver or passenger against harsh elements of the vehicle (steeringwheel, dashboard, windshield, etc.).≠ Absorb part of the kinetic energy of the body.≠ To protect occupants from impact of crystals from the windshield.≠ Decrease the head movement and the risk of cervical lesions.However, airbags are installed in other areas of the modern cars as well.An airbag needs a sophisticated deployment system for its successful operation.According to the laboratory reports of the sponsor company, the airbag deployment system
theircomfort and understanding of financial data and that this is a weakness that we need tocorrect in both the undergraduate and graduate programs.Introduction:Students enrolled in our Master of Science degree in technology come from two distinct Page 14.861.2populations; about one-third are entering graduate school immediately after graduatingfrom their bachelor’s degree program while the other two-thirds are non-traditionalgraduate students who are working on their master’s degree while performing full-timeemployment in a technical field, many working in National Laboratories. Both studentpopulations understand that in addition to understanding the
expected that each individual instructor may attribute the same hypotheticalerror to different root error classes, there will at least be a consistent frame of reference for anindividual instructor.While error assessment was implemented successfully in a lecture-based thermodynamics,particularly in analyzing homework and exams, and with limited success for a lab-basedengineering materials course, it is anticipated that this methodology could be expanded toencompass assessment for laboratory reports, presentations, and group work. In the next section,future implementation plans are detailed along with anticipated challenges.Error Assessment in the Future: Proposed ImplementationError assessment was implemented successfully in a sophomore-level
industry and held a variety of management and engineering positions including Beta Test Manager for CAD software at Computervision Corporation and in laboratory robotics at Caliper Life Science. She was founder of the New England SolidWorks Users Group, former Vice-President of the Pro|E New England Users Group and has presented at numerous technical conferences including SolidWorks World, American Society of Engineering Education, American Society of Mechanical Engineers, the Presidential Awards for Excellence in Mathematics and Science Teaching, the Science, Technology, Engineering and Mathematics (STEM) Summit and resides on the Northeastern University Engineering Advisory Board
beintroduced to the complex dynamics of a gyroscopic system (the CMGs) without the addedburden of full three dimensional attitude dynamics. Fourth, students, especially in the Page 14.131.3development stage of the testbed, see all the benefits of careful physical system integration. Thistestbed has not been used in any courses or laboratories, other than recent work at Cornellfacilities. Hence no survey data on the impact of such testbed on student learning and educationalvalues has been collected. However, this information would be useful in evaluating the efficacyof such testbed. One of the authors is a student in the Cornell University Leadership
Devices, Irwin, Chicago, 1997.8. T.-R. Hsu, MEMS and Microsystem: Design and Manufacture, McGraw-Hill, 2002.9. B. A. Boley, and J. H. Weiner, Theory of Thermal Stresses, John Wiley & Sons, New York, 1960.Bijan SepahpourBijan Sepahpour is a Professor of Mechanical Engineering and is currently the chairman of theMechanical Engineering Department at The College of New Jersey. He is actively involved in thegeneration of design-oriented exercises and development of laboratory apparatus and experiments in theareas of mechanics of materials and dynamics of machinery for undergraduate engineering programs.He is serving as the primary advisor for this project
. She recently won an award for maximum number of publications in a year from chemical engineering department at MSU. She is associated with Medical Micro Device Engineering Laboratory (M.D.-ERL) at MSU working under Dr. Adrienne Minerick. Soumya is been an active member of AIChE, AES, ASEE, SWE and Sigma-Xi.Anurag Srivastava, Mississippi State University Anurag K. Srivastava received his Ph.D. degree from Illinois Institute of Technology (IIT), Chicago, in 2005, M. Tech. from Institute of Technology, India in 1999 and B. Tech. in Electrical Engineering from Harcourt Butler Technological Institute, India in 1997. He is working as Assistant Research Professor at Mississippi State University since