I and II sequence.This course deals with the fundamentals of Linear Systems.We cover topics such as description and analysis of continuous-time anddiscrete-time signals and systems, differential equations and difference equations,convolution, Z-transforms, transfer function. The Fourier Series, Fourier Transforms, FourierIntegral, etc. (see course outline for more details).In short, there are five main parts to this course:1. Continuous-Time (CT) Signals,2. Continuous-Time (CT) Systems3. Fourier Series4. Transforms (Laplace, Fourier, Z)5. Discrete-Time (DT) Signals6. Discrete-Time (DT) SystemsLab ContentsThe laboratory part of the course consists of five laboratory assignments. Some of the labsrequire the use of MATLAB. The titles of the
AC 2009-2429: MULTI-INSTITUTION TEAM TEACHING (MITT): A NOVELAPPROACH TO HIGHLY SPECIALIZED GRADUATE EDUCATIONWilliam Heffner, Lehigh University Bill Heffner is the associate director of the International Materials Institute for Glass at Lehigh University where he has been since 2004. In this position he facilitates research exchanges promoting new functionality for glass and is developing an e-based glass learning curriculum for the glass research community as well as developing hands on experiments for the young science enthusiasts.Prior to this current role, for 25 years he was with AT&T Bell Laboratories and Agere Systems as a distinguished member of technical staff. Bill has taught
Page 14.840.10example with the aid of photographs. In addition, some knowledge about laboratory andworkshop facilities in South Africa beforehand would have been useful in terms of preparationsrelated to fabrication and construction work. From a communication standpoint, more than onevideo conference was regarded as necessary and holding such a conference soon after theformation of the teams was recommended. It was also suggested that more regularcommunication between team members be prescribed either via email or through group phone orweb-based conferences.There was also a suggestion to build in more social time with the South African students, forexample inviting them to socialize at the bed and breakfast facility. With respect to
University, TAs have been employed to coverundergraduate lecture courses in addition to the laboratory classes typically taught by TAs, due Page 14.223.3to the departure of faculty and the hiring of new faculty with reduced teaching loads. To help theTAs, the author of this article taught a special topics course during the spring 2008 semesterbased on the ExCEEd teaching model. The purpose of the course was to introduce and exposeTAs to the ExCEEd teaching model and assess teaching effectiveness. Topics of the ExCEEdmodel were presented at weekly class meetings. TAs were observed at the beginning and endingof the semester to assess each TAs
recruitment and retention efforts of the department and program.Besides the technical skills to be acquired, one of the purposes of these courses is viewedto be enticing the student in the field of study, motivating them to learn more, and in turnstay with the program. In a continuously demographically changing classroom,instructors face the challenge of adjusting the content of the course and the projects suchthat both the lecture and laboratory assignments are suitable, interesting, and useful forall types of students; these students include traditional recent high-school graduatestudents, transfer students with some prior college course credit, professional students,and other mature students.In the classical style of teaching this course, it has
surprise that we find fraternity files for examinations, term paper writing services, and plagiarism. Such activities constitute a personally rational response to a reward system which pays off for grades rather than knowledge.”The use of extrinsic motivators, particularly grades, is ubiquitous throughout universities,even though their negative effects on student learning and interest have been documentedthrough hundreds of studies. One of the main findings, confirming Kerr’s comment on“displacement” via Cognitive Evaluation Theory 17 – 22 , is that extrinsic motivators likegrades tend to reduce interest and enjoyment by shifting perceptions of control towardexternal, rather than internal forces.While the laboratory and experimental
algorithms to multiply matrices. Mechanical engineering coding exampleswere not integrated into the course; they were presented without instructional design forethought.2.2 Course delivery Prior to Fall 2006 the class met physically and the exclusive method of content deliverywas through face to face lecture. Instruction was provided in a workstation laboratory. Thislaboratory was a dedicated computational resource cluster of 30 UltraSPARC models 170 and170E workstations using the Sun Grid Engine software from Sun Microsystems. Each stationin the cluster had 128MB of physical memory, and contained one 167MHz US-I CPU. Theworkstations were interconnected using high-speed network infrastructure from Myricom. The instructor taught at
student’s points of view. Areas of future research will also be discussed.Review of Literature Most engineering schools use team based projects, or laboratory assignments to helpstudents develop skills necessary for their professional careers. Teamwork skills havetraditionally been developed by assigning students to teams. To some extent, this approach doesproduce results, but a better approach was undertaken at the University of Dayton[4] wherestudent teams were instructed on teambuilding and leadership. One of their suggestions was notonly to instruct, but to give students opportunities to work on teams where students refine theirskills as they mature though the engineering program. Many researchers have struggled with thedifficult task of
modules have been developed for a variety of undergraduate CivilEngineering courses, including the following areas: • Introduction to Civil Engineering Design • Mechanics of Materials and Materials Testing Laboratory • Soil Mechanics and Foundation Engineering • Contracts and Specifications • Environmental Engineering • Solid Waste Management • Reinforced Concrete Design • Transportation Engineering and Pavement Materials Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 412The following sections describe the objectives, scope, and
Page 14.688.2axis. In the emulation mode, the simulation is performed on the computer hardware that willimplement the controller. In this mode the student can ensure their algorithm will run in real time(i.e., the algorithm’s execution time is less than the sample period). In the implementation mode,the controller is deployed on the hardware system and experimental data is gathered. The RDSprovides the interface needed to operate the controller in these three modes.There has been an abundance of work in developing hardware control laboratories including, toname only a few, double tank system [1], inverted pendulum [2], inverted double pendulum[3,4], triple inverted pendulum [5], and ball and beam [6], ball and beam on a roller [7].However
Occupational Safety and Health Administration(OSHA) suggest that many of the most serious machine related injuries could have beenprevented by proper guarding. Studies have found that degreed engineers, many of whom haveresponsibility for machine safety, are either uneducated or poorly educated on the subject ofmachine guarding and safety standards.A significant challenge to exploring machine guarding in the classroom is the inability to allowstudents to safely explore guarding problems in an independent and hands-on environment.First, Students are not necessarily qualified to operate such machines. Second, it is not advisableto create a laboratory environment in which students are allowed to operate and test machinesthat have been made deliberately
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
roles in the team. Each team may utilize different tools and address the problem from adifferent perspective. Some students can assume a role as clinicians, as for example, to ‘diagnose’the disease by conducting a series of pathological tests including blood tests and checking thephysical symptoms. In doing so, the students need to learn what the symptoms are for dengue andwhat sort of laboratory tests are required to diagnose such a case. This dengue management projectwill specifically require students to use various computational and web based tools to discover theidentity of the virus, given some preliminary biological data under the supervision of the instructorand in consultation with the researchers and sequences to test a hypothesis
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