describes our efforts in renovating an existing non-required mechatronicscourse to upgrade the contents of the course and to improve the students’ learning experience.The main efforts include developing lecture materials, demo tools, and laboratory projectmodules employing model-based design approach, using Matlab, Simulink, and a number ofother Mathworks toolboxes. These tools simplify the process of system modeling, control design,and embedded microcontroller programming for rapid prototyping and design verification.1. IntroductionIt has long been known that teaching through examples and hands-on laboratory exercisesimprove the students’ learning experience, especially in technical multi-domain subjects such asMechatronics. However, the
LabVIEW1,2 and its reception by students at two different institutions3. Inthose papers we stated that in the absence of hardware that would reinforce the theoreticalpresentation, computer simulations of the systems described in class are the next available toolsto bring these concepts to life. Those papers also describe the particular class environment andthe process in which the software development tool, namely LabVIEW, was chosen. AlthoughMATLAB is the standard software tool employed in the areas of signals and systems, asevidenced by the proliferation of books4-6 devoted to MATLAB based exercises in thosesubjects, the choice of the software tool is justified in other publications1, 7, 8.This paper will describe the use of the toolkit in the
position at Stuttgart University, Germany, where he earned his Ph.D. in Computer Science. Over the past 15 years, Schaefer has conducted research on product modeling, variant design, product lifecycle management, design-with-manufacture integration, standardized product data exchange, as well as digital and virtual engineering. His current research focus concerns the highly topical area of Cloud- based Design and Manufacturing (CBDM). A passionate educator, Dr. Schaefer also conducts research on Design Education, Personalized Learning, Distance Learning, and Professional Faculty Development. He has published more than 120 technical papers on Computer-Aided Engineering & Design as well as Engineering Education, and
Society for Engineering Education, 2007 Analog Insydes—A New Tool for Teaching Introductory CircuitsAbstractIn this paper, Analog Insydes is used to deepen the student understanding of introductory circuitsand to serve as a design tool for circuit analysis. Modern four-year electrical and computerengineering baccalaureate engineering programs are crowded. As a consequence, too little timeis made available to teach introductory electric circuits in the traditional manner. The best way toimprove the outcome of what can be accomplished in the shortest possible technique, given thetime constraint, is to base it strictly on the newly developed symbolic circuit simulators such asAnalog Insydes. Three examples of applications are presented to
Paper ID #36509TreeVisual: Design and Evaluation of a Web-BasedVisualization Tool for Teaching and Learning TreeVisualizationBrendan O'Handley Software Engineer at Grafana Labs with a masters in computer science and engineering from the University of Notre Dame. I'm interested in data visualization, education analytics, dashboards and JavaScript.Yuheng WuChaoli Wang (Associate Professor) Dr. Chaoli Wang is a professor of computer science and engineering at the University of Notre Dame. He holds a Ph.D. degree in computer and information science from The Ohio State University. Dr. Wang's main research interest is
. Page 25.403.1 c American Society for Engineering Education, 2012 Design Tools: The Sophomore Course in a Four-Year Design SequenceAbstractThis paper describes the sophomore-level course in a recently developed four-year verticallyintegrated design sequence in the Department of Electrical Engineering at the University Parkcampus of The Pennsylvania State University. We briefly describe the motivation behindrevising the design curriculum and the integration of material among the four design courses. Wethen focus on the objectives, development and implementation of the sophomore-level course.Revising the Design CurriculumPresently, the Department of Electrical Engineering has forty-one faculty members who
-of-class each week where every team member is free wouldadditionally require the instructor to look through complicated weekly schedule matricesfor each student.One very popular system to use computers to solve this optimization problem is the web-based Team-Maker, a component of the Comprehensive Assessment of Team-MemberEffectiveness (CATME). CATME was originally funded by NSF and the Team-Maker portionwas made available for public use in 2007 [5]. Unfortunately, the source code for Team-Maker is not open source, and CATME now operates on a fee-based model. Another optionfor web-based team formation that had been available until recently is calledgroupformation.org, described in [6]. This tool has since gone offline, unfortunately.With no
be immediately answered with easy to interpret graphical output. We conclude inSection 5 with suggestions for use of V:BUDS as a learn-by-doing tool, with hands-on studentexperimentation serving to lay the intuitive groundwork for more effective use of design-suitablesoftware packages.2. Summary of V:BUDS MethodologyV:BUDS was initially developed to compute material balances for fuel cycle systemscalculations. As such, it emphasizes generality of application and ease of use. The suitability ofV:BUDS as a pedagogical tool follows from these features. In this section, we first summarizethe physical basis of the V:BUDS methodology. More elaborate documentation is available inRef. 1. The results of several benchmarking exercises are provided in
Paper ID #11538A Cloud-based Tool for Assigning Students to ProjectsDr. Smitesh Bakrania, Rowan University Dr. Smitesh Bakrania is an associate professor in Mechanical Engineering at Rowan University. He re- ceived his Ph.D. from University of Michigan in 2008 and his B.S. from Union College in 2003. His research interests include combustion synthesis of nanoparticles and combustion catalysis using nanopar- ticles. He is also involved in developing educational apps for instructional and research purposes.Mr. Brad Joseph Johnson, Rowan University Brad Johnson is a junior chemical engineering major and computer science minor
produce a functional vision software system as specifiedby the course instructor.This paper introduces an educational software tool that allows the student to create theirsoftware robotic vision system. The tool consists of an integrated development environment(IDE) where the student practices with the different methods and parameters and learns whatcombination works best for their purpose. While this may appear like a common imageprocessing tool, it’s quite different in that the tool only performs the basic methods studied inthe course. This includes image histogram plots, the image threshold operation, low and high-pass Fast Fourier Transform (FFT) based filters, 3x3 mask convolution, Hit-Missmorphological transform, Hough transforms to detect
AC 2010-1207: A SYLLABUS-BASED ASSESSMENT AND EVALUATION TOOLFOR ABET PROGRAM ACCREDITATIONGreg Nordstrom, Lipscomb University Associate Professor of Electrical and Computer EngineeringJohn Pettit, David Lipscomb University Department Chair, Associate Professor of Electrical and Computer Engineering Page 15.101.1© American Society for Engineering Education, 2010 A Syllabus-Based Assessment and Evaluation Tool for ABET Program AccreditationAbstractThe ABET engineering accreditation criteria cover all aspects of program evaluation, from high-level institutional program educational objectives down to
, Learning, and Culture within the College of Education and Human Development at Texas A&M University.Mr. Jason Lin, Texas A&M University Jason Lin received his Master’s degree in Computer Science from the National Cheng-Kung University, Tainan, Taiwan, in 2011. He is currently pursuing a Ph.D. degree with the Department of Computer Sci- ence and Engineering, Texas A&M University, College Station, TX, USA. His research interests include Scientific Document Analysis, Geospatial Intelligence, and Quantum Cryptography.Mr. Xing Wang, Texas A&M University Xing Wang is a Ph.D. student in the Department of Computer Science and Engineering. He pursues research in math- centered publication analysis at the Real
allproficient at DSP programming, they could just program the C6713 to implement these steps for the SDRsystem. However, while our students know how to use M ATLAB, they are typically not what we wouldcall proficient using TI’s Code Composer Studio to program a C6713 in C. What we needed was a toolthat allows for algorithm development in M ATLAB. Once the students are comfortable with what they hadlearned using M ATLAB, such a tool would facilitate the migration of the algorithm—in part or whole—intoC and onto the DSP hardware. The desired progression would be as follows: 1. study the traditional DSP theory, 2. use M ATLAB with simulated data, 3. use M ATLAB with real-world data, 4. implement the process (in part or whole) in real-time on
that will be used for one-on-one communications between students enrolled at remote sites and the courseinstructor or GTA. We also determined that it is highly desirable for the studentsenrolled in the distance learning circuits laboratory course to use a stand-alonecamera with a resolution of at least 1.3 megapixels during the video connectionswith the course instructor or GTA. The distance learning hands-on circuitslaboratory course using these tools will be offered in Summer 2010.AcknowledgementsThe authors would like to thank Ms. Dale Pokorski, Director of IT in the College ofEngineering, the staff in the Virginia Tech Institute for Distance and DistributedLearning, and the IT staff in the Department of Electrical and Computer Engineering
be achieved. Project-based learning is a growing pedagogy to teach capstone engineeringdesign projects, and spreading to cornerstone and engineering foundation classes. All the moreneeded then, are means and tools to help instructors, students and project coaches manageexpectations. Being able to characterize engineering design projects based on cursory linguisticanalysis can help instructors and students alike to direct activities to improve learning and bemore flexible in considering evaluation of such activities.Further Research: Automated ToolsThis work presents an initial attempt at developing procedures and means to do linguisticanalysis of engineering documentation. Steps should be taken to take the convoluted processesdescribed above
life.However, these data remain unexplored by engineering education researchers and educationalpolicy makers.Many social media analytics tools such as Radian6 (radian6.com), Visible Intelligence Page 25.615.2(visibletechnologies.com/), and NodeXL (nodexl.codeplex.com), have been developed to collectsocial media data, and then use these data to monitor business brands and public events, oranalyze the topologies of social networks. However, engineering education research has notleveraged the potential of these tools to analyze social media data relevant to engineeringstudents.This paper contributes to the body of literature regarding engineering
Paper ID #8225One Last Tool for Their Toolbox: Preparing Students for Capstone DesignDr. Barbara E. Marino, Loyola Marymount University Barbara E. Marino received the B.S.E.E. degree in 1989 from Marquette University, and the M.S. and Ph.D. degrees in electrical engineering from the University of Notre Dame in 1993 and 1996, respectively. In 1996 Dr. Marino joined the faculty at Loyola Marymount University where she currently serves as Associate Professor. Concurrent to this academic appointment Dr. Marino has been involved in research with the Jet Propulsion Laboratory. Her interests are in the area of image processing
teach students basic programming concepts using languages likeMATLAB or LABView. These languages are used because many of the disciplinary schools expectstudents to use computational models to analyze systems of interest. Some undergraduate engineeringstudents are entering college with strong computational backgrounds, while others have no experience atall. This study is the first in a series to better identify students’ transition into developing and reasoningwith analytical tools. The learning progression across two programming languages is critical todeveloping a student’s ability to generalize across various computational tools. The goal of this study is toidentify how students progress in their ability to engage in computational thinking
Academy of Arts and Science. Dr. Horowitz’s research interests are quite broad and span using EE and CS analysis methods to problems in molecular biology to creating new design methodologies for analog and digital VLSI circuits.Mr. Atindra Jha, Stanford University Atindra is an undergraduate student at Stanford University pursuing Computer Science and Mathematics. He works under the guidance of Dr. Mark Horowitz and Amy Fritz, aiding their electrical engineering education research. American c Society for Engineering Education, 2021 Online, Interactive Tool for Studying How Students Troubleshoot CircuitsAbstractWe have developed a new tool to look at how
. Subtract the two vectors using the triangle lawOperations 4. Perform the cross product using the right-hand rule 5. Compute the angle between two vectors using the dot product 6. Compute parallel and normal components of a force using the dot productThe first module, "Introduction to 3D Vectors", focused on learning vector fundamentals such asmagnitude and direction. Users are given the option to first create vectors in a Cartesian plane(2D) before investigating vectors in 3D space. The second module, "Vector Operations",addressed vector addition, subtraction, cross product, and dot product.Due to the narrated guidance within the app, users can use it as a standalone teaching tool orintegrate it into a comprehensive
Paper ID #24032SDRs Used as Motivational Tool for Communications and DSPProf. Randall L. Musselman, United States Air Force Academy Dr. Musselman received his B.S. degree from Southern Illinois University and his M.S. and Ph.D. de- grees, from the University of Colorado, in Electrical Engineering. He is a licensed Professional Engineer in Colorado. He has achieved the academic rank of Professor at the U.S. Air Force Academy (USAFA) and is the Dir of Curriculum in the Department of Electrical and Computer Engineering (DFEC), where he is in charge of the electromagnetics and communications systems courses and oversees all
Paper ID #38288Developing a Hands-on Data Science Curriculum for Non-Computing MajorsXumin LiuErik GolenRajendra K Raj (Dr) © American Society for Engineering Education, 2022 Powered by www.slayte.com Developing a Hands-on Data Science Curriculum for Non-Computing Majors Xumin Liu, Erik Golen, and Rajendra Raj {xmlics, efgics, rkrics}@rit.edu Golisano College of Computing and Information Sciences Rochester Institute of TechnologyAbstractThis paper describes the design and development of
2006-472: A MATLAB TOOL FOR SPEECH PROCESSING, ANALYSIS ANDRECOGNITION: SAR-LABVeton Kepuska, Florida Tech Kepuska has joined FIT in 2003 after past 12 years of R&D experience in high-tech industry in Boston area in developing speech recognition technologies. Presented work is partially the result of the belief that cutting edge research can only be conducted with appropriate supporting software tools. In order to bring that cutting edge research to undergraduate level, the software tools have to be not only easy to use but also intuitive. Thus, presented SAR-LAB software was designed and developed with a clear goal in mind to evolve into a standard educational as well as research tool
use a Raspberry Pi as the centralcontrol computer in the robot. The external sensor was planned to integrate into a pod, whichcontains a microcontroller for receiving sensor data and sending the data packets to theRaspberry Pi. This allows the design to have the ability to integrate multiple sensors into thesensor pod. There is an additional sub-control system in the robot which is used for the purposeof motor control, this simplified the development of integrating features such as PID control forthe maneuvering mechanism of motors.In the design of the project, Power-Over-Ethernet was used. Since PoE combines communicationand power delivery into a single twisted CAT8 cable, the design of the communication sectionand powering section can be
of both the Computer Association of Nigeria, and Computer Professionals of Nigeria and a Member of IEEE and ASEE. He is also a reviewer for journals. He has over 75 publications in Journals and Proceedings. He also jointly held two British Patents in the past.Prof. Olabode Idowu Asubiojo, Obafemi Awolowo University Page 24.419.1 c American Society for Engineering Education, 2014 (Work-in-Progress) DEVELOPMENT OF A SUITE OF VIRTUAL EXPERIMENTS FOR PHYSICS AND CHEMISTRY UNDERGRADUATE LABORATORIES.AbstractRemote Labs
TC2K requirements that are now in place. Under Criterion 2, ProgramOutcomes, the first of the eleven required outcomes (a-k) specifies that: An engineering technology program must demonstrate that graduates have: a. an appropriate mastery of the knowledge, techniques, skills and modern tools of their disciplines…2Under Criterion 4, Program Characteristics, the technical content requirements include: Technical courses must develop student knowledge and competence in the use of standard design practices, tools, techniques, and computer hardware and software appropriate to the discipline and goals of the program.2These new requirements give more flexibility to schools to decide what the “appropriate tools”for their
Engineering, which is a division of the Materials Directorate at the NRL. His experience also includes working for Intel Corporation both in Hillsboro, OR and Santa Clara, CA; and he worked at the Berliner Elektronenspeicherring-Gesellschaft f¨ur Synchrotronstrahlung m.b.H. (BESSY - Berlin electron storage ring company for synchrotron radiation) in Berlin, Germany, researching ultra thick high-aspect-ratio microfabrication. His research focuses on experimental nano-optics, including plasmonics, nanofabrication, computational modeling, photonic crystals, and engineering education. ©American Society for Engineering Education, 2024 Design tool subway map for undergraduate design
performance trade-offsin maintaining, replacing, or migrating a technology, component, or system.In this paper, the process of using QTF techniques to characterize the growth and diffusion ofcomputationally and numerically intensive analytical technologies [Finite Element Analysis(FEA), Computational Fluid Dynamics (CFD), Finite Difference Methods (FDM)] is detailed.This paper presents the results of testing the hypothesis that these computational tools wouldgrow along commonly found diffusion patterns. If the hypothesis were supported, such patternswould give insight to the future development of the growing use of modeling and simulation(M&S) tools and the industry rapidly developing founded on their use. If reliable trajectoriescould be
Paper ID #25473Democratizing Faculty Development - Establishing a Training Program at aNew Computer Science University in Russia.Ms. Oksana Zhirosh, Innopolis University Oksana Zhirosh is a Head of English Division at Innopolis University, Innopolis, Russia. With over 15 years of experience in education, she is focused on the research in teaching methodology, gender diversity in STEM, teaching intellectually advanced youth.Dr. Joseph Alexander Brown, Innopolis University Joseph Alexander Brown was born in Niagara-on-the-Lake, ON, Canada, on July 6, 1985. He received the B.Sc. (Hons.) with first-class standing in computer
industry, the Society of Automotive Industry and U.S. Department of Energy Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education(DOE) organized a joint meeting to determine critical research and development areas forminimizing off-highway vehicle emissions while improving system performance [1].Companies are expected to run numerous tests on prototypes to validate their products beforeselling them to customers. “In general, prototype testing is an expensive tool for design as thereare many applicable component configurations as well as a large number of physical variablesthat need to be measured during testing