/mfg/curriculum.htm2. Nelson, R.A., Selvidge, L.R., and Waldrop, P.S. The World Class Manufacturing Enterprise. Statesboro, GA:Southern University Press, 2006.3. Chase, R.B., Jacobs, F.R., and Aquilano, N.J. Operations Management for Competitive Advantage. New York:McGraw Hill Irwin, 2006.4. Fang, N. and Stewardson, G. (2007). Improving Engineering Laboratory ExperienceThrough Computer Simulations and Cooperative Learning. Proceedings of the 2007 ASEE Annual Conference &Exposition, paper AC 2007-517.5. Dewhurst, D. (undated). Impact of animal studies and alternatives on learning. Online PowerPoint. RetrievedFebruary 29, 2008, http://www.eurca.org/downloads/animaled/Utrecht.pdf6. Abdulrasool, S.M., et. al., 2008. Effectiveness of Computer
Physics. The curriculum for this class covers the modeling ofmolecular interactions, minimization techniques, Monte Carlo calculations and moleculardynamics simulation. The primary challenge of this class has been to teach an understanding ofthese methods to students with diverse backgrounds in computer programming, mechanics andstatistical physics. In order to meet this challenge the class reviews fundamental concepts in eachof these subject areas. Computer programming assignments play a key role in developing studentunderstanding, but programming assignments can easily overwhelm students unfamiliar withprogramming. Object oriented programming techniques using C++ mitigate the complicationsinvolved in programming assignments. Providing sample
Northwest Ge Jin, D.Sc, is currently an associate professor in the Department of Computer Information Technology and Graphics at the Purdue University Calumet. He teaches computer game development, computer graphics and animation, as well as computer information technology courses at the undergraduate and graduate levels. Prior to joining Purdue University Calumet, he was a postdoctoral research scientist at the George Washington University, Department of Computer Science. Professor Jin holds a B.S. in Computer Science from Peking University, China, and an M.S. in Computer Science from Seoul National University, South Korea. He earned his Doctor of Science degree in Computer Science with a concentration in computer
to help students visualize and understandcomputer architecture concepts. PRISM provides a link between combinational and sequentiallogic circuits and computers while also giving students an integrative capstone experience inHDL programming and the use of simulation/implementation tools. Students’ understanding ofbasic computer operations dropped off immediately after its introduction but has returned to fullysatisfactory levels. Page 15.982.8Bibliography1. Moser, A. T., “Animated Simulator for 68000 Microcomputer Architecture,” ASEE Annual ConferenceProceedings, June 1995, pp 179 - 181.2. Henderson, W. D., “Animated Models for Teaching Aspects
techniques. IEEE Trans- actions on Visualization and Computer Graphics, 13(6):1248–1253, 2007. [4] C. Chen. Top 10 unsolved information visualization problems. IEEE Computer Graphics and Applications, 25(4):12–16, 2005. [5] J. Claes, I. Vanderfeesten, J. Pinggera, H. A. Reijers, B. Weber, and G. Poels. A visual analysis of the process of process modeling. Information Systems and e-Business Management, 13(1):147–190, 2015. [6] C. Fiedler, W. Scheibel, D. Limberger, M. Trapp, and J. D¨ollner. Survey on user studies on the effectiveness of treemaps. In Proceedings of International Symposium on Visual Information Communication and Interaction, pages 2:1–2:10, 2020. [7] M. Imre, W. Chang, S. Wang, C. P. Trinter, and C. Wang. GraphVisual
the user, while the fourth part allows them to experiment with a computer-generatedsimulation of the problem. Computer animation as a tool for learning “Engineering Design/Graphics Concepts” was discussed by Bradley and Sidler2. The following elements were Page 5.161.1included: multiview drawings, vectors, and tolerancing. Use of the computer package andanimation as a learning tool has been described by others1, 9, 10, 11.Students in freshman and sophomore-level courses, in which some of the difficult to comprehendconcepts in mechanics are introduced, can greatly benefit from computer-based self-learningmodules as explained in an earlier paper
electronics course Elizabeth A. Thompson, Ph.D. Department of Electrical & Computer Engineering Purdue University Fort Wayne Fort Wayne, IN 46805 thompsoe@pfw.eduAbstractAn introductory power electronics undergraduate level course at Purdue University Fort Waynehas been upgraded, incorporating theoretical and simulation analyses for comparison to actualmeasured values obtained from a Lucas Nuelle Power Electronics and Drives 300 W trainingsystem. Lecture and laboratory content have been revised to more fully integrate lectures withlaboratory assignments. Close agreement between
, roleplaying, gaming, computer simulations etc. While some of these are synonymous, othersare quite different. These paradigms can be broadly classified into three categories; CaseStudies, Project Based Learning and Simulation Based Learning, as shown below inFigure 2. Page 12.672.3 Figure-2, Various Learning Paradigms Simulation based learning can be of two types, computer based simulation andphysical simulations. Computer based simulations take the form of animations, discreteevent simulations and continuous process simulations. On the other hand, physicalsimulations combine aspects of role playing and project based learning
static aspect of the of the Warehouse system by showing itsclass and their relationships. Figure 5: Class Diagram for Paper Rolls ManagementComputer Simulation, defined as a broad collection of methods and applications to mimic thebehavior of real systems, usually on a computer with appropriate software7 was used to representthe picking and inventory taking processes. It has become more popular and powerful than eversince computers and software capabilities are improving every day. Specifically, Arena 10.0software used for this project simulation due to its characteristics of combining the ease of use ofhigh-level simulators with the flexibility of simulation languages.Figure 6 shows the primary resources of the simulation
static aspect of the of the Warehouse system by showing itsclass and their relationships. Figure 5: Class Diagram for Paper Rolls ManagementComputer Simulation, defined as a broad collection of methods and applications to mimic thebehavior of real systems, usually on a computer with appropriate software7 was used to representthe picking and inventory taking processes. It has become more popular and powerful than eversince computers and software capabilities are improving every day. Specifically, Arena 10.0software used for this project simulation due to its characteristics of combining the ease of use ofhigh-level simulators with the flexibility of simulation languages.Figure 6 shows the primary resources of the simulation
, architectural-versus-structural paradigms and do not addressthe visual thinking dimension of buildings’ simulations as well as design evaluation thinking.Design Processes ImplicationsThe emerging design approach that recognizes mentioned dichotomy, but also acknowledges theopportunities of an integrated design process, fuels a renewed interest in building performancesimulations and analysis. It creates a new relationship between building technology educationand architectural design studio teaching through computational form inding approaches. This isparticularly exciting direction in the relationship to architectural generative processes where aform not only can be evaluated based on the performance criteria, but also derived through thevery process of
, assembled, stored, and transported. The simulation models in our proposed ISBL modules provide realistic animations and can be explored on a 2D display (low-immersion mode) or via a virtual reality (VR) headset (high-immersion mode). b. A PBL activity that mimics real-world problems/projects that arise in the system being modeled, hence resembling situations that learners may encounter at a future workplace.By treating the immersive simulation environment as a real-world system, both formal andinformal learning are enabled by own actions of the learners during and after virtual site visits. Inother words, instead of physically visiting a real-world facility, students perform virtual visits ofthe simulated system to make
, Modeling, Virtual Environments and Simulation. This isassociated with a cluster of Standard Occupational Classification System (SOC) codes,Computer and Information Research Scientists, Computer Programmers, Software Developers,Applications, and Multimedia Artists and Animators. When reviewing employment information,it is important to distinguish between positions that develop MSV tools and positions that useMSV tools. The information used to support the degree was more focused on those who use thetools in an engineering and technology context; the SOC codes associated with the eventual CIPcode are also essential.According to Indiana Career Connect, at the time degree approval was sought, more than 500jobs listed were for some type of engineering
Paper ID #37827Exploring Systems Performance Using Modeling and Simulation –Project-based Study and TeachingDr. Md Fashiar Rahman, The University of Texas at El Paso Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineer- ing (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and Computer Simulation for industrial and healthcare applica- tions. In addition, Dr. Rahman has taught various
Paper ID #28369Work in Progress: Pilot Study for the Effect of Simulated Laboratorieson the Motivation of Biological Engineering StudentsMr. Ryan P Devine, University of Georgia 3rd year Biomedical Engineering PhD student at the University of Georgia. Researching blood-material interactions to develop hemocompatible materials to improve the safety of surgical procedures. In addition to technical research, I have over 2 years of teaching experience and am pursuing an interdisciplinary certificate in university teaching.Dr. Dominik May, University of Georgia Dr. May is an Assistant Professor in the Engineering Education
2006-2496: A CASE STUDY OF MULTI-AGENT-BASED SIMULATION INUNDERGRADUATE MATERIALS SCIENCE EDUCATIONPaulo Blikstein, Northwestern University Doctoral student at the Center for Connected Learning and Computer-Based Modeling at the School of Education and Social Policy (Northwestern University).Uri Wilensky, Northwestern University Associate Professor at the Department of Electrical Engineering and Computer Science and at the School of Education and Social Policy at Northwestern University. Director of the Center for Connected Learning and Computer-Based Modeling (CCL). Page 11.11.1© American
Paper ID #16861Agent-Based Modeling and Simulation of Depression and Its Impact on Stu-dent Success and Academic RetentionSherif Elmeligy Abdelhamid, Virginia Tech Sherif is a PhD candidate at the Department of Computer Science, Virginia Polytechnic Institute and State University and is a graduate research assistant at Network Dynamics and Simulations Science Laboratory. Sherif’s research work lies at the intersection of computation, biology and education: in particular, he is interested in designing and building software systems to enable domain experts to easily access and effectively use high performance computing to
, whichencompassed the development of computer programs for the simulation and visualization ofelastically coupled particles aligned in a straight line, as well as for the simulation of two-dimensional arrays of coupled oscillators. The equation of motion of one-dimensionaloscillatory systems was solved numerically and ‒ for small systems ‒ analytically in order totest the quality of the numerical integration. In the case of two-dimensional arrays, theconservation of total energy was used for validation.Three teams of three students each took up the challenge and worked simultaneously andcompetitively on that project, with the additional complication that the team members had towork in different locations due to the Covid-19 pandemic. The integration of the
Paper ID #7910E-Book on DSP Theory with Interactive iOS, Java, and Android SimulationsProf. Andreas S Spanias, Arizona State University Andreas Spanias is a professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He is also the founder and director of the SenSIP industry consortium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. He and his student team developed the computer simulation software Java-DSP (J-DSP - ISBN 0-9724984-0-0). He is author of two text books: Audio Processing and Coding by Wiley and DSP; An
AC 2012-5123: INTERACTIVE SIMULATIONS COUPLED WITH REAL-TIME FORMATIVE ASSESSMENT TO ENHANCE STUDENT LEARN-INGDr. Tracy Q. Gardner, Colorado School of Mines Tracy Q. Gardner graduated from the Colorado School of Mines (CSM) with B.S. degrees in chemical en- gineering and petroleum refining (CEPR) and in mathematical and computer sciences (MCS) in 1996 and with an M.S. degree in CEPR in 1998. She then got my Ph.D. in chemical engineering, studying transport in zeolite membranes, from CU, Boulder, in 2002. She did a postdoc at TUDelft in the Netherlands in 2002 and 2003, studying oxygen conducting mixed oxide membranes and teaching reactor engineering, and she has been teaching back at CSM since 2004. I am now a
,introduction of video-based lectures and animations (Fang, 2012), use of computer simulations(Zacharia & Olympiou, 2011), use of physical props and demonstrations in class (Miller, Lasry,Chu, & Mazur, 2013), and use of manipulatives in structured learning activities for students(Mejia, Goodridge, Call, & Wood, 2016). Although simulations are known to be efficient toolsto improve students’ learning and perception, we are not aware of any framework that combinesvisual and haptic simulations to improve students’ learning of statics concepts. To assist with thedesign of visuo-haptic simulations, we analyze the affordances of physical manipulative toolsand use these to inform our design of a visuo-haptic simulation.Use of simulations and
Paper ID #44048BYOE: SeaKatz 2.0 – Vision and Pneumatic Claw for Underwater Robot withVR SimulationDr. Iftekhar Ibne Basith, Sam Houston State University Dr. Iftekhar Ibne Basith is an Associate Professor in the Department of Engineering Technology at Sam Houston State University, Huntsville, TX, USA. Dr. Basith has a Ph.D and Masters in Electrical and Computer Engineering from University of Windsor, ON,Dr. Suleiman M Obeidat, Texas A&M University Dr. Suleiman Obeidat received his Ph. D. in Industrial Engineering from University of Oklahoma in 2008. Dr. Obeidat joined the Engineering Technology and Industrial Distribution
Implications." ECAR Research Bulletin 3, 2010.23. A. Lesgold, "SHERLOCK: A Coached Practice Environment for an Electronics Troubleshooting Job," 1988.24. J. Moreland, S. Dubec, T. Okosun, X. Wang, C. Zhou, “A 3D Wind Turbine Simulator for Aerodynamics Education,” Proceedings of the ASME International Mechanical Engineering Congress & Exposition, IMECE, San Diego, CA, November, 2013.25. D. Fu, et al., "Integration of Numerical Simulation Data with Immersive 3D Visualization." Proceedings of the International Conference on Modeling, Simulation and Visualization Methods (MSV). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2013.a26. M. I. Zelaya, et al
of a truly hands-on experience but these are oftenlacking in the fullness of details that real systems provide. With the advent of high-speedInternet communications an alternative approach to providing hands-on experiences hasbecome possible – remote operation of real equipment. Such remote operationexperiences are fully learn-by-doing with nearly all the positive and negative aspects oftrue hands-on laboratory work.This past year the process control class at Washington State University was taught usingboth of these approaches. Computer simulations for process identification and controlwere provided using Control Station® (http://ww.controlstation.com). Remote operationof actual equipment for the same purposes was provided via an Internet
investigate the effect of slantangles (25 and 0 degrees), effect of meshes (coarse and fine) on simulation results by comparingwith experimental data. Students will use post-processing tools (streamlines, velocity vectors,contours, x-y plots, streamlines, animations, and tables) to visualize and analyze the mean andinstantaneous flow fields and compute the shedding frequency (Strouhal number). Students willanalyze the differences between CFD and EFD.These four projects were assigned as term project to students. Each project was divided andassigned to two or three groups with each group working on one part. The submission of theproject was also divided into five different phases, including deadlines for project proposal,geometry generation, mesh
immersive simulation-based learning (ISBL)modules for teaching and learning engineering economy concepts. The proposed interventioninvolves technology-enhanced problem-based learning where the problem context is representedvia a three-dimensional (3D), animated discrete-event simulation model that resembles a real-world system or situation that students may encounter in future professional settings. Studentscan navigate the simulated environment in both low- and high-immersion modes (i.e., on atypical personal computer or via a virtual reality headset). The simulation helps contextualizeand visualize the problem setting, allowing students to observe and understand the underlyingdynamics, collect relevant data/information, evaluate the effect of
, FMEA of process, BMPP – Building of process flow model; 10 Case study - Building Process Flow Model part 1 11 Case study - Building Process Flow Model part 2 12 Case study - Building Process Flow Model part 3 13 Process simulation – Process statics and dynamics, definitions of computer simulation, types, advantages and disadvantages, 14 Simulation models validation and verification, experiments, statistical distributions, simulation software 15 Site visit – Volkswagen Poznań TABLE 4 SYLLABUS OUTLINE OF PPL (LOGISTICS PROCESS DESIGN) COURSELaboratory classes consist of two parts: In part 1, consisting of
user eit her through a tiny“soft” keyboard on the display or through software handwriting recognition from thestylus, neither of which allows for the full speed entry of information to which acomputer user is accustomed on a standard keyboard. Thus, both the display, or output ofinformation, and the entry, or input of information using the iPAQ is very limited, andinteraction with Internet resources meant to be used with standard computer hardware isvery frustrating.The plus side of this type of application, of course, is that access IS possible, and Internetresources ARE available, if you are within range of a wireless hub and if you can toleratethe limited I/O capabilities of the iPAQ device. In some applications, this capability is allthat
them, and download their programs to the board to be run. Theframework also has a straightforward module interface that allows users to develop their ownextensions to the simulation, such as writing an I/O module, cache simulation, etc. Figure 3shows the simulator window with the switches and LED array I/O modules in use.Figure 3 – PLPTool Simulator interface. The LEDs and switches are shown with a runningprogram.3.3 Application to CoursesThe PLP system is intended for use in a number of Computer Engineering courses from anintroductory Digital Logic Design course through a Computer Based Systems and ComputerArchitecture Course. Additionally, the PLP system can be used in an Embedded Systems course
design,usually not one of the major projects, so that they can see the relationship between theiroriginal sketch, their computer model, and the rapid prototyped part. In EDG II, studentsproduce a rapid prototype of their team design project. In this case students are not onlyable to see the visualization chain from sketch to computer model to part, but they canalso examine some of the assembly issues of their design. Within the assembly designsproduced in EDG II, the interface and fit between components can be simulated andtested.Pro/ENGINEER, I-DEAS, and Rhino are utilized in upper division manufacturing, plas-tics, vehicle design, and industrial design courses. The plan of the faculty within the ETDepartment is to integrate course projects to