Annual Conference & Exposition, Nashville, TN, June 22-25, 2003.[10] Kuhn, William B., Donald R. Hummels, and Stephen A. Dyer, "A Senior-Level RF Design Course Combining Traditional Lectures with an Open Laboratory Format," 30th ASEE/IEEE Frontiers in Education Conference, Kansas City, MO, October 18-21, 2000.[11] Yao, Jianchu, Loren Limberis, Rick Williams, and Ed Howard. "An Efficient PID Control Teaching Module with LabVIEW Simulation," Computers in Education, vol. 19, April-June 2009, pp. 30-41.[12] Yao, Jianchu, Loren Limberis, and Paul Kauffman, "An Electrical Systems Course in a General Engineering Program: Experience and Lessons," Annual American Society of Engineering Education Conference
AC 2007-1143: LEARNING EXPERIENCES OF USING TEACHING ANDASSESSMENT TOOLS FOR SOLID MECHANICS COURSERaghu Echempati, Kettering University RAGHU ECHEMPATI is a Professor of Mechanical Engineering at Kettering University (formerly GMI Engineering & Management Institute). He has over 20 years of teaching, research and consulting experience. His teaching and research interests are in the areas of Mechanics, Machine design, and CAE (including metal forming simulation and Design of Machines and Mechanisms). He is very active in the Study Abroad Programs at Kettering University. He is a member of ASME, ASEE, and SAE, and a Fellow of the ASME
Information www.hybridplc.org An introduction to programmable logic controllers (PLCs), process control algorithms, interfacing of sensors and other I/O devices, simulation and networking. Prerequisite: EECS 3200.Specific Goals- Students Elective course.Learning Objectives(SLOs) The student will be able to 1. Demonstrate knowledge of programmable logic controllers. 2. Demonstrate knowledge of process control systems. 3. Program using ladder logic programming of software. 4. Design PLC
recruitment, transfer, and support system forstudents from regional high schools (HS) to the participating community colleges (CC) and into4-year engineering and technology programs in mechatronics, electronics and computer,mechanical and manufacturing, and systems engineering.Manufacturing is undergoing rapid changes due to the demands of product complexity and variety,and therefore factories are required to become smarter and more efficient. This transformation isdefining the factory of the future, which is also known in the US as advanced manufacturing, andit will require laborers to come to terms with complex processes, machines, and components. Thereis a huge lack of qualified personnel in advanced manufacturing stemming from a lack of
estimated the amount of water to be collected at 1.7liters per hour when the soil temperature is at 18.0 °C. We conducted two pilot studies in CostaRica as proof of concept based on a location selected by local collaborators. The first test siteproved unworkable when the physical location had a soil and air temperature gradient that wastoo small. The team then set up another experiment at another location where we simulated acool underground environment by mixing water and ice in a tank. The physical on-site system isnow collecting an average of 0.45 L per hour of condensed water when the average atmospherictemperature is 28.3 °C, relative humidity of 81.64%, and a simulated cold undergroundtemperature of 20.2 °C. Details of the design
. ©American Society for Engineering Education, 2023 The Power of Playful Learning - Ethical Decision Making in a Narrative-Driven, Fictional, Choose-Your-Own Adventure [Work In Progress]AbstractWe contend a better way to teach ethics to freshman engineering students would be to addressengineering ethics not solely in the abstract of philosophy or moral development, but as situatedin the everyday decisions of engineers. Since everyday decisions are not typically a part ofuniversity courses, our approach in large lecture classes is to simulate engineeringdecision-making situations using the role-playing mechanic and narrative structure of a fictionalchoose-your-own-adventure. Drawing on the contemporary
engineering are involved in the ComprehensiveEverglades Restoration Project (CERP); the science in one piece or sub-project may be narrow,but because this is a systems problem, with each decision and action affecting the whole, theapplication is very broad. Systems engineering is technology-intensive, and it may be useful tobear in mind that the technology needed to repair the damage to the Kissimmee and Evergladesecosystems is more advanced and sophisticated, by an order of magnitude (at least in a rhetoricalsense), than that which caused it. The restoration projects, in other words, could not have beenundertaken successfully in an earlier period. For example, advanced technology has enabledhighly detailed computer simulation and modeling. Two
primarily because the automated feedbackallows the student much quicker iteration through many more problems. It may also be that theemphasis on pseudocode prior to coding in those courses may translate into better problem-solving approaches within their core curriculum courses. Similar to the use of MATLAB Graderin “Computational Applications in Engineering”, it is likely worthwhile to be very careful andtransparent with problem difficulty and incorporate appropriate scaffolding. Thermodynamics, Fluid Mechanics, and Heat Transfer Thermodynamics I is a core course in the curriculum typically taken by students in theirsecond year, while Thermodynamics II is an elective course typically take in the 3rd year.Thermodynamics I is a
c) an ability to identify, formulate, and solve engineering problems d) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. e) an ability to design a system, component, or process to meet desired needs f) an ability to function on multi-disciplinary teams g) an understanding of professional and ethical responsibility h) an ability to communicate effectively i) the broad education necessary to understand the impact of engineering solutions in a global and societal context j) a recognition of the need for, and an ability to engage in life-long learning k) a knowledge of contemporary
AC 2011-202: STUDENTS LEARN FUNDAMENTALS OF ENGINEERINGDESIGN WHILE PURSUING THEIR OWN ENTREPRENEURIAL IDEASKevin D. Dahm, Rowan University Kevin Dahm is an Associate Professor of Chemical Engineering at Rowan University. He received his B.S. from WPI in 1992 and his Ph.D. from MIT in 1998. He has published on teaching engineering design, assessment of student learning, and use of process simulation in undergraduate education. He is the recipient of the 2004 Fahien Award and the 2010 Mid-Atlantic Section Outstanding Teaching Award from ASEE.William Riddell, Rowan University William Riddell is an Associate Professor in the Civil and Engineering Department at Rowan University. His research interests include design
Paper ID #14272Engineering Solutions to Storm Water Problems Through Community Par-ticipationDr. Mohamad Musavi, University of Maine Mohamad Musavi is the Associate Dean of the College of Engineering at the University of Maine. Pre- viously, he was the Chair and a Professor of the Electrical and Computer Engineering Department. He is the Principal Investigator of a NSF-EPSCoR award to engage secondary school students and teachers, especially female and minority students, in innovative engineering solutions to storm water. He has been working with Maine high schools in the developing and establishing STEM academies.Mr. Cary
with a client in designing a product. One professor of engineeringprovides the rationale for this real-world simulation: We do a kind of capstone experience in that class where we bring in somebody, some local client,…and they do kind of a more real project for somebody. So they get to try it out early on, and then what we do as advisors in clinic is ask them to go back to that process. Because I think a lot of times when they are given a real world project in clinic, the inclination is just to kind of run out and find an answer, or whatever. But we really do try to make them sit down, analyze their problem statement, pull out objectives and constraints, and they’ll resist it a little bit, because
that are automatically graded, nor are they computer aided instruction. JiTT is intendedto create a feedback loop that drives the interactive classroom experience, enhancing thestudents’ critical thinking, problem solving ability, and conceptual understanding.Enrichment Pages and TutorialsAlthough the WarmUps are the most essential part of JiTT, the benefits can be increased byutilizing enrichment pages and tutorials as part of the course web site. Enrichment pages aretypically posted weekly, and are meant to increase student motivation and real worldunderstanding. Topics might include current events related to mechanics (e.g., the orbitalmechanics of the space station), devices in everyday life (car racing, amusement park rides,fighter jets
Paper ID #44052Empowering the Future: Integrating Invention and Intellectual Property Educationin P-12 Engineering to Foster InnovationMs. Marie Anne Aloia, Bayonne High School Marie is an alternate route teacher with an educational background in math, physics, chemical engineering and computer science. As the first girl in her family to go to college, and maybe to prove a point, she earned two bachelors degrees, one from Montclair State University and one from New Jersey Institute of Technology. After 26 years in industry an unexpected layoff came at a bad time, she was recently widowed. It was time for something
poses a few obvious problems.They have not studied calculus, nor the concepts of equilibrium, resultant force, and moment, letalone moment of inertia, thermodynamics, and most of chemistry. Graphics is still in the future,so the term “3-view” makes no sense. Computing is in the future, and so is the training onexpressing and interpreting graphical data, and writing technical reports. These students lack thediscipline, the trait of rigorous reasoning, the technical and emotional maturity, the work ethicand the in-depth knowledge inculcated by the 10 quarters leading up to Capstone Design.Lessons from Prior Work 3-14Several approaches have been used to engage the
Analytical Courses," co-authored with Dr. John Schmeelk at the April 2006 meeting of Middle East Teachers of Science, Mathematics and Computing (METSMaC) in Abu Dhabi. Page 12.1199.1© American Society for Engineering Education, 2007 PROJECT-DIRECTED MATHEMATICSAbstractThe authors examine the learning preferences work of Ricki Linksman, founder of the NationalReading Diagnostic Institute in the United States and author of How to Learn Anything Quickly.In an earlier study, they theorized that female MATH 131 students at Virginia CommonwealthUniversity Qatar (VCUQ) were probably visual and tactile right-brained
Paper ID #44858Privacy in the Machine Learning: A Study on User Profiling and TargetedAdvertising on LinkedInMr. Eric UWAYEZU, UNIVERSITY OF BRIDGEPORT Eric UWAYEZU is a PhD candidate at the University of Bridgeport. He has been working in the IT industry for the last 12 years, focusing on IT networks and systems. He is also a computer science Lecturer at Sacred Heart University. His research interests are machine learning privacy, network security, and artificial intelligence in general. ©American Society for Engineering Education, 2024 Privacy in the Machine Learning: A Study on User
software, thermocouples, and heat flux sensors. Conduction heat transfer for materials of different thermal properties. 2 How fins affect convective heat transfer, convective coefficient. 3 Understand transient heat transfer- how heat flux and temperature change with time. 4 Work more with transient heat transfer and understand thermal resistance and link it to conduction. Semi-infinite materials. 5 Boundary layers and how they affect convective heat transfer. 6 Apply ideas of convective heat transfer to internal flow. 7 Internal flow part 2: overall heat transfer coefficient. 8 Mass transfer process and relationship of heat and mass transfer. 9 Computer simulation of a heat exchanger
modelling, virtual reality, simulation and anima-tion. The specialisation addresses against a fast growing information and media industry butalso the education’s possibilities of employment.The sixth semester deals with the theme; the digital space, with focus on interactive virtualreality models, animation etc.The theme at the seventh semester is the augment reality, with focus on simulation, interfaceand interaction, primarily looking at intelligent products.The eight semester covers with the theme digital design in practise. The project elaborates inco-operation with an enterprise or a consultant enterprise. A minor part of the projecting pe-riod can be carried out there. The aim of the semester is to create basic knowledge about thepractical
Paper ID #23617From Learning to CAD to CADing to Learn: Teaching the Command, Strate-gic, and Epistemic Dimensions of CAD SoftwareDr. Dean Nieusma, Rensselaer Polytechnic Institute Dean Nieusma is Associate Dean for Curricular Transitions, Associate Professor in Science and Technol- ogy Studies, and Director of the Programs in Design and Innovation at Rensselaer.Dr. James W. Malazita, Rensselaer Polytechnic Institute James Malazita is an Assistant Professor in Science & Technology Studies and Games & Simulation Arts & Sciences at Rensselaer Polytechnic Institute.Ms. Lydia Rebekka Krauss, Rensselaer Polytechnic
concepts, activities, and applications. In response to question 1,teachers listed concepts like: motor vehicle design, skateboarding, anything gross, fashion, sportsperformance (equipment and technique), genetics, artificial skin, recycled materials, stormproofing, military combat systems, roller coasters, music, environmental issues, how thingswork, technology, and biology. Teachers listed activities like: field trips; model rockets; outdooractivities; hands on manipulation, construction, and experiments; speakers in the classroom;simple computer aided design and animation. In response to question 2, teachers listed conceptslike: hypothesis testing, cooperative learning, problem solving, small group or individual projectsrelated to student
Paper ID #29998WIP: Mechanical engineering students’ incorporation of stakeholderconsiderations throughout a Senior Design course sequenceValerie Vanessa Bracho Perez, Florida International UniversityAnilegna Nunez Abreu, Florida International UniversityMr. Ameen Anwar Khan, Florida International University ´ Virginia TechIndhira Mar´ıa Hasbun, Indhira Mar´ıa Hasb´un is a Ph.D. candidate and Graduate Assistant in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University (FIU). Her research analyzes the interplay between institutional structures
, and Master’s and Ph.D. in Engineering Mechanics from Iowa State University. Dr. Das teaches a variety of courses ranging from freshmen to advanced graduate level such as Mechanics of Materials, Introductory and Advanced Finite Element Method, Engineering Design, Introduction to Mechatronics, Mechatronic Modeling and Sim- ulation, Mathematics for Engineers, Electric Drives and Electromechanical Energy Conversion. He led the effort in the college to start several successful programs: an undergraduate major in Robotics and Mechatronic Systems Engineering, a graduate certificate in Advanced Electric Vehicles. Dr. Das’s areas of research interests are modeling and simulation of multi-disciplinary engineering problems
AC 2012-4263: EXAMINING THE EFFICACY OF A LEGO ROBOTICSTRAINING FOR VOLUNTEER MENTORS AND K-12 TEACHERSMs. Irina Igel, Polytechnic Institute of New York University Irina Igel received a B.S degree in mathematics with a minor in computer science from NYU-Poly, Brook- lyn, NY, in 2009. Upon graduating, she received an Adjunct Instructor position at the Department of Mathematics at NYU-Poly, teaching undergraduate math courses to incoming freshmen. She is currently serving as a teaching Fellow at the Bedford Academy HS under NYU-Poly’s GK-12 program funded by NSF and CBSI consortium of donors. She is perusing a M.S. degree in mechanical engineering with em- phasis on control and dynamical systems. Her research
management, lean systems, decision analysis, designed experimentation, and systems design and optimization. His current research interests include on the education side development of simulations and cases for active learning, and on the model- ing side supply chains and logistics management, and production systems planning and optimization, and applications in different industries. Page 23.946.1 c American Society for Engineering Education, 2013 Online Teaching Best Practices: Faculty PreferencesAbstractOnline education is a strategic initiative that has been applied for
undergraduate ForensicEngineering Learning Activity that can be adapted and fit into any junior-level Machine Designcourse schedule. For three lecture sessions, a mock factory station is erected in the style ofpopular escape rooms, simulating the scene of an equipment failure. Students complete an initialassessment of the equipment’s expected service based on a brief dossier. Small “investigationteams” are formed and granted timed access to explore the scene, collect clues, and note sitesafety violations. Next, students think critically about the circumstances, machinery, and humanelements to compose an evidence-supported theory that identifies why the part failed and who isultimately culpable. Findings are presented to the class, and the teams compete
SPStudent(s)makingapresentation with1student/sduringactive OOther(explain) task Studentsare... D/VShowingorconductingademo, LNListeningtotheinstructorandtakingnotes experiment,simulation,videoor CCopyingasolutiontoaproblemwhilethe animation Active teacherissolvingit ModModelingthinkingorproblem INDIndividualthinking/problemsolvingposedby solving theprofessor LecLecturing SCHSearchingforinformation
,simultaneously exhibiting both cost and effectiveness measures can be quite helpful.Requirement thresholds are shown on the display. These are useful to the decision-maker inassessing the degree to which each alternative meets functional and other criteria. This approachis recommended for most applications, because subjective evaluation by the customer andproducer can be directly accommodated in a visible way. Trade-offs become visible and can besubjectively consideredVIII. Summary and ConclusionsLegions of academicians and practicing professionals are continuing to develop and applypowerful tools for analysis, experimentation, modeling, simulation, animation, etc. to the domainof operations. These individuals represent the fields of industrial
AC 2009-2335: ELICITING UNDERSERVED MIDDLE-SCHOOL YOUTHS’NOTIONS OF ENGINEERS: DRAW AN ENGINEERTirupalavanam Ganesh, Arizona State University Tirupalavanam Ganesh, Ph.D., has degrees and experience in engineering, computer science, and education. He has brought this experience to bear in previous research that examined the use of technologies in K-12 settings with diverse students. He has worked with the Children’s Museum of Houston on the development and implementation of Robotics-based STEM programming for urban youth. He is the Principal Investigator of the National Science Foundation Award# 0737616, Learning through Engineering Design and Practice.John Thieken, Arizona State University