activities, and the grade from the project advisor, which is determined from the writtenwork submitted to the project advisor.The present structure of this course has evolved over the fifteen or so years that I have taught it.The practice presentations were added several years ago as a result of suggestions from studentsin the course. EE 497 Senior Project Phase IIDuring the final semester of the senior project sequence the final design, construction, and testingof the project is completed. Validation by simulation or analysis using generally accepted theoryis an appropriate alternative to construction and testing for some of the projects. Students areasked to submit a final written report as well as an oral
to Ash Hollow Nebraska). Basically, we are looking for simulated traveling on a multi- day trip with consumables, health (both animals and humans), and some random events. Design Review (2 weeks after MVP) teams need to have an initial version of their game up; some features can be underdeveloped at this point to focus on key items. But key items are to be eventually implemented! 19 2022 SOFTWARE APPLICATION FAIR • Critical Design Review • Make elevator pitch – Needs, Approach, Benefits, Competition • Conduct game demo • Teams receive same day feedback – Use input to make final
. Washington, DC: ASEE.7. Guzdial, M. (2008). Paving the way for computational thinking. Communications of the ACM, 51(8), 25-27.8. Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.9. Cabo, C., & Lansiquot, R. D. (2014). Synergies between writing stories and writing programs in problem-solving courses. In Proceedings of the 2014 IEEE Frontiers in Education Conference (pp. 888-896). New York: IEEE.10. Cabo, C., & Lansiquot, R. D. (2013). Development of interdisciplinary problem-solving strategies through games and computer simulations. In R. D. Lansiquot (Ed.) Cases on interdisciplinary research trends in science, technology, engineering, and mathematics: Studies on urban classrooms
Interface, Volume 2, No.3, 1998.4. Ressler; Stephen, The visual stress transformer: An animated computer graphics program for engineering mechanics education, ASEE conference proceeding, 1996.5. Miller, Gregory and Cooper, Stephen, Visual Mechanics Beams and Stress States, PWS Publishing Company, Boston, MA 1998.6. Prusak; Zbigniew, Simulation using spreadsheets in the engineering technology curricula – satisfying multiple learning objectives, ASEE conference proceeding, 1999.7. Working Model, Knowledge Revolution Inc., San Mateo, CA, 1998.ALAMGIR CHOUDHURYAlamgir A. Choudhury is an assistant professor of industrial and manufacturing engineering at WesternMichigan University, Kalamazoo, Michigan. He earned BS in mechanical engineering from BUET
Virginia as shown on page 1 of [56].57-60 These steps include(1-10) general information about Linux and how to set up a Linux account, FireFox, SSH,capture of images with The GIMP, printing and plotting, getting started with Cadence, andsending email from Linux. After carrying out these setup steps, the manual steps the studentthrough the process of (11) creating a library, (12) a schematic, (13) a symbol, (14) Spectresimulation, (15) layout, (16) Design Rule Check (DRC), (17) extraction, (18) Layout versusSchematic check (LVS), (19) extracted-layout simulation, and (20) simulation with NC-Verilog.Subsequent steps are (21) generating I-V curves for an nFET, (22) parametric simulation of I-Vcurves for an nFET, (23) generating a voltage transfer
summarizessome of the surveyed computing topics. Table 1: Summary of 2002 computing survey questions after Abudayyeh et al.1 Computer application Computer-related skill Project management Use of spreadsheets Simulation Use of equation solvers CAD/GIS Programming in Fortran, C++, Java Optimization Use of electronic communication Collaboration Environments Use of database management systemsTable 1 is especially useful because it explicitly defines what the computing skills of value are(or were) at the time. Comparisons with the older surveys are somewhat limited due to
summarizessome of the surveyed computing topics. Table 1: Summary of 2002 computing survey questions after Abudayyeh et al.1 Computer application Computer-related skill Project management Use of spreadsheets Simulation Use of equation solvers CAD/GIS Programming in Fortran, C++, Java Optimization Use of electronic communication Collaboration Environments Use of database management systemsTable 1 is especially useful because it explicitly defines what the computing skills of value are(or were) at the time. Comparisons with the older surveys are somewhat limited due to
. degrees in Computer Science from AAST - Alexandria Campus, Egypt. Dr. Abdelhamid’s research work spans three main fields, Computer Science, STEM Education, and Public Health. His research interests are in high-performance services-based computing solutions, novel digital educational technologies, and tools for the social network analysis of complex systems. More specifi- cally, his research focuses on designing and building software systems and services (science-as-service) that enable students and domain experts from various fields to access and interact with various learning resources easily and perform data analyses and simulations to study large-scale biological information socio-technical (BIST) complex systemsDr
access STEAM data sources and services to createengaging projects. Figure 3: Plotting atmospheric CO2 concentrations for the past 800,000 yearsThe second half of the module focuses on social and collaborative projects utilizing messagepassing. After introducing how to send and receive messages by creating a distributed “HelloWorld” example, the first project is an animation of a running dog as it seamlessly jumps fromone computer screen to another. This unit is followed by creating a shared whiteboard as twostudents can write on each others’ stages by sending a list of pen coordinates back and forth.Other lessons include a chatroom where all classmates can post messages for everybody else anda mesh networking simulation. The final
Paper ID #38566Promoting Computational Thinking in Integrated Engineering Design andPhysics LabsDr. Ruben D. Lopez-Parra, University of New Mexico Ruben D. Lopez-Parra is a Post-doctoral fellow in the Department of Chemical & Biological Engineering at University of New Mexico. His Ph.D. is in Engineering Education from Purdue University and he has worked as a K-16 instructor and curriculum designer using various evidence-based active and passive learning strategies. In 2015, Ruben earned an M.S. in Chemical Engineering at Universidad de los An- des in Colombia where he also received the title of Chemical Engineer in
(ECET)program. The first course in the sequence is an introduction to computer games, where asoftware platform, Alice, is adopted to develop programming concepts and working knowledgeof multimedia applications using audio, image, animation, and video data. The second courserequires students perform multimedia programming using the well-known software, DirectXwith a Microsoft Visual C++ platform. Students learn how to integrate graphics, animation andsound assets into interactive environments.We find that the sequence courses stimulate students to achieve their learning objectives in theECET curriculum via developing their computer game assignments and projects as a vehicle.Furthermore, the student retention is greatly improved. In fact, the
to students. Virtual laboratoriesprovide students access to simulated experiments or animated dynamic system simulations.Remotely accessible laboratories allow students to access via the Internet real-time experimentswith video feedback. Inter-university laboratories engage students in a collaborative effort toconsolidate resources for a single project. The goal is to effectively engage students in the engineering process of modeling andcontrolling dynamic systems. By implementing and assessing these laboratory formats, weintend to help students achieve the following objectives: 1. Enhance conceptualization and use of fundamentals through multiple means of visualization. The laboratory formats proposed will incorporate
, and information systems. Dr. Ozden has published in various journals/conferences including Computers and Operations Research and Naval Research Logistics. His website address is https://www.gokhanozden.com.Dr. Ashkan Negahban, Pennsylvania State University, Great Valley Dr. Ashkan Negahban is an Associate Professor of Engineering Management at The Pennsylvania State University, School of Graduate Professional Studies. He received his Ph.D. and master’s degrees from Auburn University (USA) and his BS from University of Tehran (all in Industrial and Systems Engi- neering). His research involves stochastic simulation methods, primarily agent-based and discrete-event simulation. He also conducts research related to
andcomponents, as well as how instructions are executed and handled by various architectures.Topics covered include Boolean algebra, combinational circuits, sequential circuits, finite statemachine design, processor pipelines, and memory hierarchy. Instruction is typically delivered in alaboratory setting using computer system simulators to provide students with a hands-onunderstanding of the topics covered in class. These simulators are frequently used to help studentsunderstand complex technologies that are difficult to conceptualize and visualize without the helpof graphical animations that modern simulators can provide. This hardware-focused course isoffered as a major requirement as part of the four-year undergraduate CS degree program.According
learning contexts.Dr. Tanya Faltens, Purdue University, West Lafayette Tanya Faltens is the Educational Content Creation Manager for the Network for Computational Nanotech- nology (NCN) which created the open access nanoHUB.org cyber-platform. Her technical background is in Materials Science and Engineering (Ph.D. UCLA 2002), and she has several years’ experience in hands-on informal science education, including working at the Lawrence Hall of Science at UC Berkeley. While at Cal Poly Pomona, she taught the first year engineering course, mentored student capstone re- search projects, and introduced nanoHUB simulation tools into the undergraduate curriculum in materials science and engineering and electrical engineering
real design and cannot be treated as a completed project if it cannot provide thestatus of safety with supporting analysis and documentation. This situation should be changedfor the engineering education.As discussed in previous section, the BMET program students who had attended MECH395-Mechanical CAD Application I and MECH605-Mechanical CAD application II, had owned theirown virtual factory. In our capstone design project, each group had to create virtualcomponents/assemblies and numerically test every component and the prototype in their virtualfactory. In the virtual factory, students were asked to use the sequence of features of virtualcomponent /assemblies to simulate the manufacturing process of the virtual component andassembling
problemsencountered and reporting on general design suggestions based on their manufacturing attempt. Page 22.134.8 Air Motor ProjectThis project may involve measurements, review andchanging of sizes, materials, and, decision making onprocess selection. The work also involves preparingdetail drawings, assembly drawings, as well asgraphing work - all to be done using computertechniques - and simulation using animation with CADsoftware to observe the proper functioning of theports.The following specifications must be kept in mind inthe design and manufacturing of the AIR MOTOR: • Envelope dimensions shall not exceed
Session 1532 Demonstrating Complex Communication Systems Principles Using Electronic Courseware and a Simple Computer Math Package Kathleen A. Kramer and Thomas F. Schubert, Jr. University of San Diego AbstractWhile computer simulation can be used to augment student understanding of complex systemsand signals principles, knowledge of computer package specifics can form a major barrier tostudent understanding. A series of five electronic courseware modules for use in a senior-levelcommunication systems course are described. The modules are designed
implement more advanced encryption techniques on images. The visualization goesthrough the whole cycle of encryption-decryption after transmission over a simulated networkconnection using TCP or UDP transport layer. Figure 9. Cryptographic AlgorithmsVisualization Reinforced Instruction (VRI) AnalysisWe implemented several of the VRI-modules as we were teaching the courses or supervisingsenior level students. Students were either Computer Science or Computer Engineering majors,some with double majors with applied mathematics. So far, we have been able to analyze theresults from two courses of Software Engineering and one course of Programming I (CS1).When the students were asked if the visualization helped them
2004, American Society for Engineering Education When sinusoidal flux density distributions or space vectors from the three phase statorwindings are added together, a rotating field distribution or space vector will be generated. Inteaching the concept of the rotating magnetic field, computer assisted teaching and animationtools in both MatLab and MathCad are used. Through the computer simulation and animation,and analysis of MatLab or Mathcad code, the rotating magnetic field concepts can be proved,introduced, and demonstrated very easily and quickly. This rotating field distribution can berepresented by an equivalent hypothetical sinusoidally distributed winding with a position sis (t )and a current Iˆs (t ) passing through the
Engineering department atUtah Valley University. I have 33 years of teaching experience at the university level. My areas ofinterest are Thermal Sciences, Machine Design, and Advanced Manufacturing. My hobbies are all kindsof sports. © American Society for Engineering Education, 2023 Project-Based Learning of Computational Fluid Dynamics: Challenges and Lessons Learned – A Personal PerspectiveAbstract: The engineering department undertook the challenge to develop an autonomousinspection system using unmanned aerial vehicles (UAVs) through a research grant received fromthe Utah System of Higher Education (USHE). The project is conducted by a multidisciplinaryteam consisting of students from Electrical
. Most young kids and even some college students seem tobe unaware of what computer science means. These activities help them understand the depthand diversity a computer science undergraduate degree can entail.The paper will provide the details for each of these activities and the learning objectives. Theactivities included are:(1) Binary, Octal, and Hexadecimal Initial Keychains(2) Understanding Variables and Arrays with Paper Bags(3) Branching and Looping Statements with Starburst Candies(4) General Class Structure with Bags, Boxes, and a Bin(5) Dr. Doolittle’s Vet Office: Learning Classes with Stuffed Animals(6) Arrays with Tissue Boxes, DVD Sets, Paper Plates, and other Household Goods(7) Basic Networking, Message Passing, and Security with
exhibit, we have observed frequent enactment ofthis competency. For example, while playing on the structure, the family plans for the fastest routeto deliver medicine to the animals. The child creates a set of instructions by saying, “I can do red,blue and green, from the left” referencing taking the first left route from the entrance and going tothe rabbit (which has the red color), then to the dog (which has the blue color) and finally to thecat (which has the green color). Another example comes from a computer-based coding game where the parents read theinstructions for their child and explain to the child the order the robot should deliver medicine toanimals. The child enters necessary moves (codes) for the robot to get to the rabbit
course, the Advanced Devicescourse, and graduate level nanotechnology courses.Select topics from items 1-8 are expanded upon in the sections outlined below and include (1)the alignment of course material and spiral teaching model; (2) peer led team learning; (3)workshops, computer simulations and software tools; and (4) online resources.1. Alignment of Course Material and Spiral Teaching ModelThe Applied Quantum Mechanics course is divided into four parts/areas:Part I Electrons and SemiconductorsPart II Electromagnetic WavesPart III Schrӧdinger Equations and Quantum ApplicationsPart IV Advanced Applications of Schrӧdinger Equations: Quantum Dots, Tunneling, Zener Diodes, Resonant Tunneling DiodesWithin these four areas
feedback cycles in classroom activities can scaffold and increase learnerengagement in mathematics classrooms [15].The scenario referenced a practicum in which upper level computer science students,collaborating with professors, developed a curriculum-fitting library of applets that the students,agents and professor could use. In this case, the students were also in a computer science course,but the model readily transfers to engineering education and will be used in an engineeringeducation research grant on complex problem solving skill from NSF’s Human and SocialDynamics Program. Applets are portable “mini-programs” that can produce text or videoexplanations, simulations, visualizations, animations, or graphical representations of courseconcepts
team I have ever worked on. There were no slackers and everyone gave 120% effort. x Having the instructor available at all times helped.Two sample project descriptions submitted: Computational Modeling for Electromagnetic Scattering from Rough Surfaces This project is concerned with the application of wavelet decomposition methods to analyzeintegral equations which arise in electromagnetic scattering. The specific application is to thescattering from rough surfaces, and in particular, from very rough surfaces. The waveletapplication is not the conventional one. Limited research results which treat the application ofwavelets to integral equations have been confined to the spatial domain. Here wavelets workwell for smooth
massproperties and finite element analysis. An assembly of parts can be mated together, and akinematics animation of the assembly can be created to demonstrate functionality. The samedigital geometry can be further applied to rapid prototyping in order to create a physicalrealization of the design idea. As needed, 2-D paper documentation of the design can begenerated directly from this same model database. This paper outlines this modern engineeringgraphics computer laboratory sequence and portrays examples of student exercises used in thecourse. Results of a learning outcomes assessment, conducted in Fall 2002, presents results thatdemonstrate the students’ understanding and acceptance of this educational paradigm
Texas at Brownsville. After graduation, he was employed at sev- eral corporations including Pixera, a digital multimedia processing company in Cupertino, CA, 3COM, a networking and communication company in Schaumberg, IL, and Mercantec, an E-Commerce company in Naperville, IL. He has more than 40 publications in the field, and has served as a reviewer/moderator for several scientific and educational journals and conferences. He joined UTB in the Spring of 2000. His areas of interest include Imaging, Visualization and Animation, Networking and Cyber Security, Web Design, Computer Graphics, and Linguistics.Prof. Fitratullah Khan, University of Texas - Rio Grande Valley Professor Fitratullah Khan has been teaching
Session 2793 Developing a Model of Students’ Navigations in Computer Modules for Introductory Thermodynamics Roman Taraban1 , Edward E. Anderson2 , M. P. Sharma3 , and Arne Weigold 4 1,4 Department of Psychology Texas Tech University Lubbock, TX 79409-2051 roman.taraban@ttu.edu arne.weigold@ttu.edu 2 Department of Mechanical Engineering
2011, pp.1-28.7. Phillips, J.M. and Billings, D.M., 2007, ―Using Webcasts for Continuing Education in Nursing,‖ Journal of Continuing Education in Nursing, 38(4), pp.152-153.8. de Souza, J.M.B. and Dyson, M., 2008, ―Are Animated Demonstrations the Clearest and Most Comfortable Way to Communicate on-Screen Instructions?‖ Information Design Journal, 16(2), pp. 107-124.9. Despotakis, T., Palaigeorgiou, G., and Tsoukalas, I., 2007, ―Students’ Attitudes Towards Animated Demonstrations as Computer Learning Tools,‖ Journal of Educational Technology & Society, 10(1), 196-205.10. Atlas, R., Cornett, L., Lane, D. M., and Napier, H. A., 1997, ―The Use of Animation in Software Training: Pitfalls and Benefits,‖ In M. A