Paper ID #36211Designing Electrical and Computer Engineering Capstone Projects to meetABET OutcomesDr. Pritpal ”Pali” Singh, Villanova University Dr. Pritpal Singh is Professor of Electrical and Computer Engineering at Villanova University. He re- ceived a BSc in Physics from the University of Birmingham, UK in 1978, and Masters and Ph.D. degrees in Applied Sciences/Electrical Engineering from the University of Delaware in 1981 and 1984, respec- tively. Dr. Singh teaches courses at the undergraduate and graduate levels in the areas of semiconductor microelectronics, renewable energy systems and power electronics. He has been
his Mom asked him to do something, he always looked for the most efficient approach to get the job done. Thus, it is no surprise that he is currently pursuing a doctorate in Systems Engineering at Morgan State University (MSU), where his Professors help him enhance his capabilities in looking for the most optimal solution while delivering quality results. Some people might say that it is okay to make mistakes as long as you learn from them. However, Mr. Caballes beg to differ. For him, it is more convenient to eliminate that ”mistake” before it happens. Hence, he always wants to have an outcome of a 99.9998% success rate (mistake-proof). Marc has extensive knowledge and experience in Additive Manufacturing (AM), 3D
Outstanding Graduate Award from the geosystems group at Georgia Tech.Mr. Ryan Hare, Rowan University Ryan Hare received his B.S. in Electrical and Computer Engineering from Rowan University in 2019. He is currently pursuing his Ph.D. in Electrical and Computer Engineering at Rowan University. His current research focus is applying artificial intelligence methods to create enhanced educational systems and improve student learning. Further interests include serious games, intelligent tutoring systems, adaptive or intelligent educational systems, and leveraging student data to enhance learning.Tyler ZiesseConor PetersonMr. Chenchen Huang American c Society for
Paper ID #36204Preservice Teachers’ Mechanistic Reasoning about Machine Learning andArtificial IntelligenceDr. Amy Voss Farris, Pennsylvania State University Amy Voss Farris is currently an Assistant Professor of Science Education at the Pennsylvania State Uni- versity. She investigates the intersections of scientific modeling and computing in elementary and middle school classrooms and seeks to understand how learners’ and teachers’ experiences in scientific computing can support their development of ideas and practices across STEM disciplines. Her teaching encompasses engineering education, preservice teacher preparation
. 2. Thilmany, J. (2001), FEA in a Snap. Mechanical Engineering, July: 60-62. 3. Mahoney, D. P. (1999), Go with the Flow. Computer Graphics World, March 3: 30-36. 4. Watson, K.A., Brown, A.O., Liu, J. (2015), Finite Element Analysis Active Learning Modules Embedded Throughout A Curriculum: Implementation and Assessment of Results Based on Student GPA, Proceedings of the 2015 American Society for Engineering Education Annual Conference and Exposition. 5. Brinson, L.C., T. Belytschko, B. Moran, and T. Black. (1997), “Design and Computational Methods in Basic Mechanics Courses, Journal of Engineering Education, Vol. 86, No. 2. 6. Chaphalkar, P. and D. Blekhman. “Introducing Finite Element Analysis in the
learned with physics context and spatial abilities. Theadvances in computer technology with visualization would continue to support spatial abilityreasoning, given that scalar-magnitude component equations had received full support incommand prompt computer technology years ago.An exercise for grading purpose has been known to generate anxiety, which would not supportlearning. Asking students to re-work the graded exercise for higher scores would push thestudents to cheat in about 50% of the cases in our experience. Our university purchased theRespondus LockDown Browser technology for instructors to proctor the Blackboard onlineexaminations around March 2021. We have been concerned about the equity issue when somestudents were having the
conference papers and book chapters.Mr. Ryan Hare, Rowan University Ryan Hare received his B.S. in Electrical and Computer Engineering from Rowan University in 2019. He is currently pursuing his Ph.D. in Electrical and Computer Engineering at Rowan University. His current research focus is applying artificial intelligence methods to create enhanced educational systems and improve student learning. Further interests include serious games, intelligent tutoring systems, adaptive or intelligent educational systems, and leveraging student data to enhance learning. American c Society for Engineering Education, 2022 Evaluation of an AI-assisted Adaptive Educational
projects, which appears to have increased their hands-on knowledge andskills with respect to advanced design and engineering analysis software.Introduction With the advancement of computer aided design (CAD) software and the user-friendlyinterfaces of engineering analysis packages for finite element analysis, computational fluiddynamics, and multiphysics solutions, engineering curricula are being revised to train industry-ready engineering graduates with up-to-date technological software and hardware.Implementation of advanced design tools allows students to learn rigorous hands-on tools andapply their knowledge to solving real-world design problems, with computational resources andcloud computing capabilities. At Howard University, the
their content knowledge and instructional practices, and also network with others.This paper describes professional development programs that are responsive to teacherisolation from peers through teacher networks, as well as personal time constraints andpersonal responsibilities. Lessons learned from these programs can serve as a framework forthe implementation of teacher professional programs during a pandemic, or even after apandemic.Computerized Conferencing SystemIn the early 1980s, NJIT, in collaboration with Fairleigh Dickinson University, sought toalleviate the issues faced by teachers by creating a computer communications network, as part ofa professional development program for initially 35 NJ middle school science teachers [6], [7
impossible to see from taking a generic programming course. Guestlectures was another aspect enjoyed by many. Finally, the flipped classroom which provided a lotof time for in-class activities, appealed to the students a lot. Based on this success, I will utilizethe course materials and the overall approach to revamp the core undergraduate course “ChemicalEngineering Computing”.IntroductionModern engineering calculations are hard to imagine without a flexible and efficientprogramming language. Python is such a language. Python is open source, free, easy to learn, andsimple to use. These factors make Python one of the most popular programming languages in theworld, highly demanded by employers. However, most undergraduate programming courses
introducing grade 6-12 teachers to these topicsthrough simple mechanical models and computer based animated programs. This wasaccomplished through the Pre-Engineering Instructional and Outreach Program (PrE-IOP) at NJIT to enlarge the future pool of qualified high-tech workers in New Jersey,including those who have been historically underrepresented (such as minorities andwomen). The workshop uses hands on experience to explain scientific laws related tomass, motion, work, power and energy. Principles such as Newton’s Laws of Motion areexplained through practical examples. The concepts of simple machines and mechanismsto solve practical design problems are presented through geometrical constructions andmodel building. They learn how simple machines
Paper ID #36238Through the Looking Glass: STEM Students’ Changing Relationships withTime Across the COVID-19 PandemicBradley J. Sottile, Pennsylvania State University Brad Sottile is Lecturer in Computer Science and Engineering, and Aerospace Engineering in The Penn- sylvania State University’s College of Engineering, School of Electrical Engineering and Computer Sci- ence.Laura E Cruz, Penn State Laura Cruz (Ph.D, UC Berkeley 2001) is an Associate Research Professor for Teaching & Learning Schol- arship with the Schreyer Institute for Teaching Excellence at Penn State. She previously served as the director of
Paper ID #36234VLSI Design, Verification and Fabrication of an Arithmetic Logic Unit(ALU) Using the Cadence Virtuoso: A Case StudyDr. Nian Zhang Dr. Nian Zhang is a Professor in the Department of Electrical and Computer Engineering at the Uni- versity of the District of Columbia (UDC), Washington, D.C., USA. She received her Ph.D. degree in Computer Engineering from Missouri University of Science & Technology, USA. Her research inter- ests include computational intelligence, machine learning, deep learning, supervised and unsupervised learning, classification, clustering, and optimization, neurodynamic optimization
in connected ensembles of neurons, and retrieves them by reactivating those same neuronsand connections [e.g., 12]. Thinking and reasoning strategies are important skills foremployability in 4IR but have also long been an active research topic in cognitive psychology.Aided by computer simulation, studies report that human thinking is associated with a widerange of tasks such as learning and remembering, problem-solving, inducing rules, formulatingconcepts, and understanding natural language [e.g., 13 and references therein]. These human-centered cognitive skills have been identified as must-haves for employability in the 21st century.While some of the technological advances of 4IR can outperform humans in repetitive tasks,these technologies
connections thataligned with their relevant secondary STEM class. These concept maps enabled teachers toidentify the gradient of conceptual learning from basic to more sophisticated disciplinary ideas.Teachers also used the MASTER model as a framework for planning the classroom activities andincorporate the engineering practices appropriate for their teaching context.Since many Pennsylvania school districts have outdated computer resources or have purchasedless expensive devices (e.g., Chromebooks, iPads), secondary students are often limited to classprojects that require limited to no computing power. This is counter to the work involved inengineering research. With the secondary teachers conducting research that involvedsophisticated engineering
Paper ID #36216Evaluating the Use of MicroPython and the Raspberry Pi Pico inLaboratory Activities for Undergraduate Classes in EngineeringElectromagneticsDr. Eve Klopf, High Point University I’m an Associate Professor in the Department of Electrical & Computer Engineering at High Point Uni- versity. I earned my PhD in Electrical Engineering at Colorado State University in 2011; my PhD work focused on computational electromagnetics. As faculty, my interests and active projects are in the areas of computational electromagnetics, microwave engineering and engineering education.Mr. Matthew Thomas Costantino I am an
State Standards that encourage practices likeanalytic reasoning, complex problem solving, and modeling—inquiry-based learning styles. The SeniorCapstone Project presented within this white paper is designed to reflect a culmination of the students’experiences in their respective “track” courses. Track courses are a sequence of advanced STEM offeringsbeginning with exploratory courses offered in Grade 9, then gradually advancing in scope and depththroughout Grades 10 through 12. Track courses mimic college majors whereby students “declare” theirtrack in biomedical engineering, mechanical engineering, or the computing sciences at the end of Grade9, then progress within the chosen track through Grade 12. To explore a student-developed
processing it through a free on-line software (Meshmixer). Solidworks was used todesign the lateral-support side “ears” for the head support shell and the mounting block to attachthe head support shell to the channel section. The Solidworks files were imported intoMeshmixer and added to the 3D Scan. Considerable effort was required to learn the process ofediting and preparing the file to print. But the result was a faithful computer model of Dylan’shead that could be used for multiple iterations of the head-support shell (Figure 6).The final version of the 3D Printed head support shell, with the lateral-support “ears” is shown inFigure 5.Figure 6: Screen photos of the “Head Support Shell” produced from the 3D Scanner. The leftphoto is the unedited
MEDALION for ”Significant Lasting Impact on Engineering Education,” 1993. The NJIT Foundation Overseers Public and Institute Service Award, 1981 (First Recipient) and in 2005; and the Allan R. Cullimore Distinguished Service Award (NJIT) for 1991.Dr. Gale Tenen Spak, New Jersey Institute of Technology Gale Tenen Spak established Build Their Future, LLC in 2019 to provide talent and workforce STEM and soft skill development training and education consultancy appropriate for ”cradle to gray” gener- ations based on what she has learned over 26 years at NJIT. Between 1992 and 2018, Dr. Spak was Associate Vice President of Continuing and Distance Education at New Jersey Institute of Technology, Newark New Jersey. Through her
• Instrumentation and • Power Management • Biomedical Technologies Hardware Systems • Quantum Information Tech • Chemical Technologies • Internet of Things • Robotics • Cloud & High-Performance • Learning & Cognition Tech • Semiconductors Computing • Medical Devices • Space • Cybersecurity & Authentication • Digital Health • Wireless Technologies
understanding of how research provides the theoretical foundation ofengineering practice. Students work individually with faculty on literature reviews, computer modeling,laboratory testing, and field research. Three students have researched structural failure case studies andthe technical and ethical lessons to be learned from them. Participants also have the opportunity to tourconstruction sites and construction material manufacturers and fabricators’ facilities. During the past threeyears, an ethics seminar series has been added. At the end of the program, students prepare researchpapers and Web pages documenting their work and present their results to faculty, students, and otherparticipants.The student work has enhanced the breadth and depth of
radicallyredesigned. Every company should position an Innovation Lookout Team, whose job is toconstantly scan the horizon, looking for unexpected threats or opportunities. Why? Experts tell usthat innovative ideas rarely come from those vested in the current product. In the case of internet-enabled process innovation, it almost always originates from the outside. Usually, the threats willcome from companies that are not on your top-10 competitor list. The innovation lookout teamscans the universe of start-ups, researching, and learning from the disintermediators and disruptors. End the innovation discussion by introducing an innovation test, which would be used by thedesign team to confirm whether their idea is truly innovative. The test consists of the
created newelectric vehicles, developed renewable energy sources, and have built a new globalcommunications network that is connecting people worldwide. Engineers are held to highstandards with their work, certainly higher than most other careers. But they should also beheld to high ethical standards, to ensure all their work does not harm people. Engineers arenow responsible for functioning of the whole world on a minute-to-minute level. Theymake the airplanes which fly all over, schedule our trains, make communications systemsand build the computers and their software to run our schools, hospitals, businesses andgovernments. They build the security that keeps our data safe from hackers. The role ofengineers is very important with profound
source. Besides heating the hot side, the temperature Solver (EES) that is designed to create a power output difference can be created by chilling the cold side. Because matrix and a parametric analysis for any Stirling engine— of the Stirling’s numerous advantages, there are many whether alpha, beta, or gamma configuration—and is potential applications that will produce less exhaust developed as a tool for use in a Senior Design project at emissions than an internal combustion engine [2]. SUNY New Paltz. Upon successful completion of this code, There is promising research that Stirling engines can be EES will compute a resulting power output matrix and P-v
(𝑁(k)) Whereas N(node) is a function that returns the set of neighboring nodesPROBLEM STATEMENTThere has been a dramatic shift in higher education in the last decade towards online education.As a result, online courses are now a core feature of most colleges and universities(Larreadmendy-Joerns & Leinhardt, 2006; Layne, Boston & Ice, 2013; Sutton & Nora, 2008).With this shift in the increased usage of online courses, the size and complexity of someproblems are growing exponentially. One such problem is difficulty in choosing the right courseswhen it comes to online learning. Difficulties are common and often cannot be avoided duringlearning. But one of the most challenging obstacles students run into before even beginning