the experiment, ifthat were possible.Permutation methods permute units between two or more samples. For example,consider sample A with nA units and sample B with nB units. Permutationcombines the two samples and randomly assigns the units into new pseudo A andpseudo B samples. These pseudo A and B samples have exactly the samestatistical properties, including identical means. These pseudo samples mimic anull hypothesis situation in which the populations have identical means.Variation of any statistic that measures the distance between means (such as a tstatistic) over repeated permutation should mimic variation of the statistic appliedto the original populations
of Computing Sciences in Colleges, pp. 274-284, 2005.18. Holly Patterson-McNeill and Carol L. Binkerd, “Resources for Using Lego Mindstorms,” Journal of Computing Sciences in Colleges, pp. 48-55, 2001.19. Pamela B. Lawhead et al., “A Road Map for Teaching Introductory Programming Using LEGO Mindstorms Robots,” in ACM SIGCSE Bulletin, vol. 35, New York, 2003, pp. 191-201.20. Madeleine Schep and Nieves McNulty, “Use of Lego Mindstorm Kits in Introductory Programming Classes: A Tutorial,” Journal of Computing Sciences in Colleges, pp. 323-327, 2002.21. Myles F. McNally, “Walking the Grid: Robotics in CS2,” in ACM International Conference Proceeding Series; Vol. 165 Proceedings of the 8th Austalian conference on Computing education
AC 2009-1398: A TABLET-PC-BASED ELECTRONIC GRADING SYSTEM IN ALARGE FIRST-YEAR ENGINEERING COURSERicky Castles, Virginia Tech RICKY T. CASTLES is a computer engineering PhD student in the Bradley Dept of Electrical and Computer Engineering at Virginia Tech. He received a masters of science degree in computer engineering in 2006 and a masters of science degree in industrial and systems engineering (human factors option) in 2008. He is currently a co-coordinator for hands-on workshops in a first-year engineering course. His research interests include knowledge representation, physiological data monitoring, artificial intelligence, and expert systems.Eric Scott, Virginia Tech Eric Scott
our applied cryptography learning modules into theircourses.Learning Module Design GoalsBefore we created our active learning modules, we articulated several design goals. Inspecific, we wanted to: 1. Provide students with a portable laboratory environment that would enable them to continue their active learning after the class period has ended and the laboratory closed. a. Distribute laboratory software for free. b. Eliminate college’s need to track software licenses. 2. Empower students to demonstrate laboratory learning activities at home or at work. 3. Free the instructor from administrative budget constraints (both time and cost). 4. Free the instructor to choose most appropriate
enable us to recommend further development of the proposedapproach and its use for project guidance in other institutions. A wider implementation wouldpose new research questions, related to the adaptation of mastery projects and their effectivenessin different situations.Bibliography[1] Jones, B., Valdez, G., Nowakowski, J., & Rasmussen, C. (1994). Designing Learning and Technology for Educational Reform. Oak Brook, IL.[2] Cannon-Bowers, J. and Salas, E. (2001) Reflections on Shared Cognition, Journal of Organizational Behavior, 22, 195-202.[3] Pack, D., Avanzato, R., Ahlgren, D., Verner, I. (2004) Fire-Fighting Mobile Robotics and Interdisciplinary Design-Comparative Perspectives, IEEE Transaction on Education, 47(3), 369-376.[4
and e-Learning.Ivan Sopin, Armstrong Atlantic State University Ivan V. Sopin has received a B. S. in Computer Science from Armstrong Atlantic State University, Savannah, GA, where he continues his studies as a graduated student. Ivan’s research interests deal with investigating new interaction models for 3D Web interfaces in application to medical and engineering education.Carlos Sanchez, Armstrong Atlantic State University Carlos Sanchez is an undergraduate student at Armstrong Atlantic State University, and is working on obtaining his B.S. in mechanical engineering. His current areas of interest are robotics and aerospace applications. He hopes to pursue a graduate degree in mechanical
AC 2009-779: BIT-MAPPED GRAPHICS ON A BUDGET USING THE FREESCALES10 MICROCONTROLLERChristopher Carroll, University of Minnesota, Duluth CHRISTOPHER R. CARROLL earned academic degrees at Georgia Tech and Caltech. He is Associate Professor of Electrical and Computer Engineering at the University of Minnesota Duluth. His interests are digital systems and microprocessor applications, especially as they relate to educational environments. Page 14.282.1© American Society for Engineering Education, 2009 Bit-mapped Graphics on a Budget Using the Freescale S10
(Figures 10 and 11) clearlyillustrates the call by value feature of the C programming language. When the called function iscalled, it expects that the passed values are contained in the calling registers. c = add_c(12, 34);0x0002025c : movi r4,120x00020260 : movi r5,340x00020264 : call 0x20214 0x00020268 : stw r2,0(fp)Figure 10. Calling add_c function with literal values c = add_c(a, b);0x00020298 : ldbu r5,4(fp)0x0002029c : ldw r4,0(fp)0x000202a0 : call 0x20214 0x000202a4 : stw r2,8(fp)Figure 11. Calling add_c function with variable argumentsBit ManipulationThe ability to manipulate data at the bit level (for controlling and pulling data off devices) forlow level
contrast is builtaround collaboration. E-learning 2.0 assumes that knowledge is socially constructed. Advocatesof social learning claim that one of the best ways to learn something is to teach it to others.ELearning can provide major benefits for the organizations and individuals involved: ̇ Virtual environment allows some reduction of paper usage. ̇ Reduction of the costs of higher education. ̇ The time to update content as well as their correction is very low. ̇ The perception of the learner is a livelier interaction and a richer content.Blended learningBlended learning (b-learning) has allowed a new way of convergence between distance, on-lineand on-class education. The convergence is going through the mixed educational modelinvolving
formatted’, to comments that were highly specific, such assuggesting a different equation representation of a concept.Web-based Resources RatingsThe second method of assessment was a student survey that gathers feedback fromstudents after each administration of the course. The survey7 consists of 18 items thataddress four major domains: 1) Content Factors, 2) Learning Factors, 3) UsabilityFactors, and 4) Technological Factors (see Appendix B). A four-point scale is utilized onthe survey, ranging from ‘Poor’ (value = 1) to ‘Excellent’ (value = 4) and wasadministered to students over eight semesters of delivery of the course, from the spring of2004 to the summer of 2008. Classes ranged in size from 19 (Spring 2004) to 60(Summer 2007).The first domain
final publication, the Spring 2009 is about half complete.At this stage, we are optimistic about the changes we have made to the Dynamic Systems &Control Course.Bibliography1. B. D. Coller, “Implementing a video game to teach principles of mechanical engineering,” Proceedings of the 2007 American Society for Engineering Education Annual Conference. 2007.2. S. S. Rao, Applied Numerical Methods for Engineers and Scientists, Prentice Hall, 2002.3. B. D. Coller & M. J. Scott, “Effectiveness of using a video game to teach a course in mechanical engineering,” (pre-print) 2008, available at www.ceet.niu.edu/faculty/coller4. B. D. Coller and D. J. Shernoff, “Video game-based education in mechanical engineering: A look at student
panel on cyberinfrastructure. http://www.nsf.gov/od/oci/reports/atkins.pdf (accessed March 12, 2009). 16. Ainsworth, S., M. Honey, W.L. Johnson, K. Koedinger, B. Muramatsu, R. Pea, M. Recker, and S. Weimar. 2005. Cyberinfrastructure for Education and Learning for the Future: A Vision and Research Agenda. Page 14.592.13 http://www.cra.org/reports/cyberinfrastructure.pdf (accessed March 12, 2009).17. The National Science Foundation. 2007. Cyberinfrastructure Vision for 21st Century Discovery. http://www.nsf.gov/pubs/2007/nsf0728/nsf0728.pdf accessed (March 12, 2009).18. Borgman, C.L., H. Abelson
illustrate the types of responses that we assigned to each of thegeneral categories (II).In general the employers place a high value on a) interpersonal skills such as communicationskills, the ability to organize and present data, and the ability to function in a team; b) critical andinnovative thinking as well as problem solving; c) engineers who understand business practicesand the importance of integrating engineering data across larger systems and computationalglobalization; and d) engineers who understand engineering principles and can usecomputational tools to solve engineering problems by moving between abstractions in softwareand physical systems
Page 14.141.94.1.6 Motorcycle Problem: Student SurveyFigure 6 shows the results of an anonymous survey, which consists of all 58 students whocompleted the assignment. Approximately 87% of students surveyed agree that using theanimations program helped them understand acceleration concepts of a particle moving along apath, which is defined by Y(X).4.2 Planes Problem: Relative VelocityThe planes problem involves two planes traveling relative to each other. The relative position,velocity, and acceleration of plane B with respect to A are shown as OUTPUT variables in theanimation program (Figure 8). Note that the relative velocity of A with respect to B in the Y-direction (VYB/A) is approximately zero here.In this assignment, the student is asked
AC 2009-1933: IMPLEMENTING A TABLET PC REQUIREMENT PROGRAMJoseph Tront, Virginia TechKimberly Filer, Virginia TechGlenda Scales, Virginia TechJane Prey, Microsoft Research Page 14.695.1© American Society for Engineering Education, 2009 Implementing a Tablet PCs Requirement ProgramAbstractTablet PCs are one of the newest innovations in the computing and communications world andhave the potential for significantly improving the way in which faculty members teach and theprocesses involved in student learning. The College of Engineering at Virginia Tech decided torequire that all incoming freshmen be required to own their own tablet PC starting in the Fall of2006. This
AC 2009-2332: TABLET PC FEATURES ON A BUDGETWalter Schilling, MSOE Walter Schilling is an assistant professor in the Software Engineering program at the Milwaukee School of Engineering in Milwaukee, WI. He received his BSEE from Ohio Northern University and his MSES and PhD from the University of Toledo. He worked in the automotive industry as an embedded software engineer for several years prior to returning for doctoral work. He has spent time at NASA Glenn Research Center in Cleveland, OH. In addition to one US Patent, Schilling has numerous publications in refereed international conferences and other journals. He received the Ohio Space Grant Consortium Doctoral Fellowship, and
AC 2009-1083: A MODEL FOR THE PLANNING, MARKETING, ANDIMPLEMENTATION OF A DEPARTMENTAL LAPTOP INITIATIVEMark Bannatyne, Indiana University-Purdue University, Indianapolis Dr. Bannatyne is a Professor of Computer Graphics Technology at the Purdue School of Engineering at IUPUI, and acting Department head for the Department of Design and Communication Technology. Dr. Bannatyne is a graduate of the British Columbia Institute of Technology where he studied Machine Tool Technology, Utah State University (BSc., 1988, MSc. 1992), and Purdue University (Ph.D., 1994). Dr. Bannatyne is an active member of AVA, ITEA, ASEE, Phi Kappa Phi, and Epsilon Pi Tau where he is a member of The Board of Editors
AC 2009-1335: A MICROPROCESSOR-BASED CONTROL SYSTEM PROJECTFOR AN INTEGRATED FRESHMAN CURRICULUMMichael Swanbom, Louisiana Tech UniversityDavis Harbour, Louisiana Tech UniversityHisham Hegab, Louisiana Tech UniversityDanny Eddy, Louisiana Tech University Page 14.56.1© American Society for Engineering Education, 2009 Microprocessor-Based Control System Project for Integrated Freshman CurriculumAbstractA project has been developed and implemented in which the temperature and salinity arecontrolled in a small volume of water which is circulated using a small pump. A conductivitysensor measures salinity, and a Resistance Temperature Device (RTD
AC 2009-1241: DISASTER PLANNING FOR A LARGE METROPOLITAN CITYUSING TRANSIMS SOFTWARELok PASUPULETI, Northern Illinois UniversityOmar Ghrayeb, Northern Illinois UniversityClifford Mirman, Northern Illinois UniversityHubert Ley, Argonne National LaboratoryYoung Park, Argonne National Laboratory Page 14.494.1© American Society for Engineering Education, 2009Disaster Planning for a Large Metropolitan City Using TRANSIMS SoftwareAbstractOver the past decade the United States has endured many disasters, both man made and due tothe forces of nature. In each case, leadership in the public and private sectors learn that moreneeds to be done to ensure continuity of life and economy
AC 2009-1941: USE OF A LOW-COST CAMERA-BASED POSITIONING SYSTEMIN A FIRST-YEAR ENGINEERING CORNERSTONE DESIGN PROJECTMichael Vernier, Ohio State University Michael A. Vernier is a Graduate Teaching Assistant for the OSU Fundamentals of Engineering for Honors (FEH) Program where he teaches the laboratory portion of the three-quarter FEH engineering course sequence and develops course materials. Mr. Vernier earned his BS in Electrical and Computer Engineering (2007) from The Ohio State University and is currently a Master’s Candidate in Electrical and Computer Engineering at The Ohio State University, researching control system design for autonomous vehicles.Craig Morin, Ohio State University
AC 2009-929: AN EXPERIENCE ON LEARNING OBJECTS REUTILIZATIONBASED ON EDUCATIONAL RESOURCES DEVELOPEDMiguel Latorre, Universidad Nacional de Educacion a DistanciaManuel Blazquez, Universidad Nacional de Educacion a DistanciaElio Sancristobal, Universidad Nacional de Educacion a DistanciaSergio Martin, Universidad Nacional de Educacion a DistanciaFrancisco Garcia-Sevilla, Castilla-La Mancha UniversityCatalina Martinez-Mediano, Universidad Nacional de Educacion a DistanciaGabriel Diaz, Universidad Nacional de Educacion a DistanciaManuel Castro, Universidad Nacional de Educacion a Distancia Page 14.191.1© American Society for Engineering Education, 2009 An
AC 2009-459: DESIGN OF A BRIDGE STRUCTURAL INTEGRITY WIRELESSMONITORING SYSTEM FOR COMPUTER ENGINEERING EDUCATIONYoon Kim, Virginia State University YOON G. KIM is a faculty member of the Computer Engineering Program in the Engineering Department at Virginia State University. He earned his M.S. and D.Sc. degrees in Electrical Engineering from Washington University in St. Louis in 2000 and 2005, respectively. He has over 11 years of industrial experience in the area of telecommunication systems. His research interests include Internet traffic engineering, Wireless Sensor Networks, Embedded Systems and data acquisition.Shahzad Akbar, Virginia State University SHAHZAD AKBAR received his Ph.D
AC 2009-328: NASA SUMMER ROBOTICS INTERNS PERFORM SIMULATIONOF ROBOTICS TECHNOLOGYKenneth Fernandez, NASA Marshall Space Flight CenterRichard Fischer, NASA Marshall Space Flight CenterAmir Mobasher, Alabama A&M UniversityPaul Drews, Missouri University of Science and TechnologyMaegan Grady, Saint Mary's College, University of Notre DameRobert Rucker, Vanderbilt UniversityJessica Tham, Louisiana Tech UniversityThomas Bierbower, Randolph High School Page 14.899.1© American Society for Engineering Education, 2009 NASA Summer Robotics Interns Perform Simulation of Robotics TechnologyABSTRACT This paper provides an overview of the NASA Robotics Academy and highlights
generated in MATLAB to visualize the concept of in-fluence lines that the author uses in a classical third-year structural analysis class.3.2 Beam with holes w (a) H D L/6 L/3 L/3 L/6 (b)Figure 3: (a) Beam with holes. (b) Corresponding finite element modelIn the first example students investigate how the number of holes and their diameter relative tothe depth of the cross section affect the stiffness and the maximum stresses in the beam. Theplane stress four-node element with incompatible modes is used. The interested reader finds aMATLAB function
and future many-core processingarchitectures, we believe that programmers must possess an intimate knowledge of the issues thatarise in the context of multithreading.2.1.1 Instruction-Level ParalleismConsider the following expression involving several integer multiplications and additions: a + (b*c) + (d*e) + f Page 14.806.3Assuming we have a processor that requires a single cycle to evaluate each multiplication oraddition operation, this expression requires five cycles to evaluate in a sequential manner: onecycle for each of the arithmetic operations in the expression (Figure 1a). However, if theprocessor is
AC 2009-707: TEACHING WITH SOFTWARE DEFINED RADIOSThad Welch, Boise State University Thad B. Welch, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at Boise State University, Boise, ID where he is a Professor and Chair of the Department. Dr. Welch's research interests include the implementation of communication systems using DSP-based techniques, DSP education, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.orgCameron Wright, University of Wyoming Cameron H. G. Wright, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at the University of Wyoming, Laramie, WY. His research
GUI reports the time response of the system andthe input function as well. The time range of the response plot can be adjusted as desired. Similarto Figure 1(a), Figure 1(b) shows the case of step input with amplitude of 3 units.The MATLAB GUI for the initial condition response of a 2nd order dynamic system is shown inFigure 2. The students are asked to enter the initial displacement and initial velocity, in additionto the system parameters. Two pushbuttons give the choices for time response plot or frequencyplot. Figure 2(a) shows the time response plot. The frequency response plots are shown in Figure2(b), including both logarithmic magnitude curve and phase-angle plot. The GUI also reports thenatural frequency, damping ratio, and damped
AC 2009-708: THE DSP OF AN UNSTABLE FINANCIAL ACCOUNTThad Welch, Boise State University Thad B. Welch, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at Boise State University, Boise, ID where he is a Professor and Chair of the Department. Dr. Welch's research interests include the implementation of communication systems using DSP-based techniques, DSP education, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.orgCameron Wright, University of Wyoming Cameron H. G. Wright, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at the University of Wyoming, Laramie, WY. His research
(using the option Draw point for cross section point plot). 9. Find the functional relation between the time of testing and defect depth for the given object parameters and temperature conditions.Finally students prepare a report with analysis of received results.Appendix B: The results of students’ progress testing Percentage of good marks Student quiz 1 midterms quiz 2 final test groups Controllable 78 74 76 72 Experimental 86 80 85 79 Difference 8 6 9 7
the following features: a) A simple and user friendly interface for the exclusive purpose of creating and viewing oral presentations in real time (w/ PowerPoint and a webcam). b) No video or audio editing capabilities. Most commercial video software enables the user to edit video, including clipping, joining, and formatting video and audio. Editing video/audio is contrary to the premise of helping the user improve oral presentation skills. Without editing capabilities, the presentation becomes closer to how live presentations are given. c) A system to evaluate presentations, enabling the presenter to receive both technical and presentation skills feedback. d) The ability to quickly create a mobile device