Paper ID #20185Teacher and Student Content Knowlege Gains: Effects of a Materials Science-Focused Professional Development ProgramDr. Alison K. Polasik, Ohio State University Alison K Polasik received a B.S.E. degree in Materials Science and Engineering from Arizona State University in 2002, and M.S. and Ph.D. degrees from The Ohio State University in 2005 and 2014, re- spectively. She has been part of the adjunct faculty at Columbus State Community College, and was a full-time lecturer at OSU from 2013 until 2015. In 2015, she was hired as an assistant professor of practice in the Department of Materials Science and
Paper ID #17645Developing Sustainable Leaders: Implementing a USGBC LEED R LabTMProgram on CampusDr. James W. Jones, Ball State University Dr. James W. Jones is the Construction Management Program Director and an Associate Professor in Ball State University’s Department of Technology. He has taught in the areas of leadership and construction management for more than 14 years and has more than a decade of experience managing construction projects in both field and office environments.Mrs. Janet Fick, Ball State University Registered Architect LEED AP c American Society for Engineering Education
Paper ID #25112Multi-core Processor Learning Using a Simulator and Pin ToolsDr. Yul Chu, University of Texas, Rio Grande Valley Dr. Yul Chu is an Associate Professor in the Department of Electrical Engineering at the University of Texas Rio Grande Valley. He received his Ph.D. in Electrical and Computer Engineering from the Uni- versity of British Columbia, Canada in 2001 and MS in Electrical engineering from Washington State University in 1995. His current research interests lie in the area of low-power embedded systems, high- performance computing, parallel processing, cluster and high-available architectures, computer
computing. Her email address is ylong4@gsu.edu.Anu G. Bourgeois, Georgia State University Anu G. Bourgeois is an Associate Professor in the Department of Computer Science at Georgia State University. She received her Masters and Ph.D. in Electrical and Computer Engineering from Louisiana State University in 1997 and 2000, respectively. Her research interests include parallel and distributed computing, wireless networks, security and privacy, fault tolerant computing, and STEM education. She is a senior member of the IEEE.Prof. Yi Pan, Georgia State University Dr. Yi Pan is a Distinguished University Professor of the Department of Computer Science and Associate Dean of Arts and Sciences at Georgia State University. He is
Paper ID #208682017 Zone I Best Paper: Molecules and Cells: A Model for Addressing theNeeds of Students with Varied Backgrounds and Diverse Learning StylesDr. Eileen Haase Ph.D., Johns Hopkins University Dr. Haase is a senior lecturer at Johns Hopkins University in the Department of Biomedical Engineer- ing and chair of the Applied Biomedical Engineering program. She is currently the interim Director of Undergraduate Studies.Dr. Harry R. Goldberg, Johns Hopkins University c American Society for Engineering Education, 2017 Molecules and Cells: a model for addressing the needs of students
Methodology and Statistics from the University of Virginia and is currently the Humana-Sherman-Germany Distinguished Professor at AU. He teachers courses in research methods and program evaluation. c American Society for Engineering Education, 2018 Infusion of Big Data Concepts Across the Undergraduate Computer Science Mathematics and Statistics Curriculum1. IntroductionStored digital data volume is growing exponentially [1]. Today, there are about 4.4 zettabytes (1zettabyte is equivalent to 1021 bytes) of data in the World and it is expected to be about 44zettabytes by 2020 [2, 3]. Society increasingly relies on such data to tell us things about theworld [1]. Recent advances in technology, such
Logic Circuits Lab – Breadboard or VerilogAbstract:Logic Circuit design is one of the introductory courses for Electrical Engineering and ElectricalEngineering Technology students. Ideally, it introduces students to hands-on circuit building,problem solving, testing and function verification. The lab teaches them to use correct labequipment from digital meters and oscilloscopes to digital logic analyzers. The logic design lab isa learning experience that most students enjoy, as it is their first hands-on experience withdesigning and building miniature systems.Other instructors prefer introducing students to Verilog design as the lab experience. Studentsusually use evaluation boards to implement their designs. The
Paper ID #10126Simulation and Control of an Unmanned Surface VehicleDr. Lifford McLauchlan, Texas A&M University, Kingsville Dr. Lifford McLauchlan completed his Ph.D. at Texas A&M University, College Station. After spending time in industry, he has returned to academia. He is an associate professor at Texas A&M University- Kingsville in the Electrical Engineering and Computer Science Department. His main research interests include controls, robotics, education, adaptive systems, intelligent systems, signal and image process- ing, biometrics and watermarking. He is the current chair of the ASEE Ocean and Marine
AC 2012-3429: TEACHING COMMUNICATION SYSTEMS WITH SIMULINKAND THE USRPDr. Joseph P. Hoffbeck, University of Portland Joseph P. Hoffbeck is an Associate Professor of electrical engineering at the University of Portland in Portland, Ore. He has a Ph.D. from Purdue University, West Lafayette, Indi. He previously worked with digital cell phone systems at Lucent Technologies (formerly AT&T Bell Labs) in Whippany, N.J. His technical interests include communication systems, digital signal processing, and remote sensing. Page 25.1243.1 c American Society for Engineering Education, 2012
Session 1220 Performance Comparisons of Modern Digital Signal Processing VLSI Microprocessors F. O. Simons, Jr., and A. L. Robinson High-Performance Computing and Simulation (HCS) Laboratory Electrical Engineering Department Florida A&M University and Florida State University Tallahassee, FL 32316-2175Abstract - The continual and rapid evolution of modern DSPuP (Digital Signal ProcessingmicroProcessors) makes it difficult for experienced DSP analysts to keep up with
Session 2520 A Fuzzy Knowledge-Based Controller to Tune PID Parameters Ali Eydgahi, Mohammad Fotouhi Engineering and Aviation Sciences Department / Technology Department University of Maryland Eastern Shore Princess Anne, MD 21853AbstractIn this paper integration of fuzzy knowledge-based control with the hard controltechnique is purposed. The fuzzy knowledge-based is implemented as a set of fuzzyrules with an inference mechanism to tune the PID controller in the system. Asoftware is developed in which users can define the rule base. The program generatesthe fuzzy decision table based on all
concepts suchas quantization and prediction. This platform will be used by the UAB Electrical &Computer Engineering Dept. in an undergraduate laboratory course on signalprocessing and assembly language. The speech processing content will be used in Page 3.477.10conjunction with other demonstrations of DSP technologies and algorithms. Thequantization module(s) developed for this platform demonstrate both uniform andnon-uniform quantization with user-selectable signal characteristics, as well as severalpopular approaches to quantizer adaptation (forward, or blockwise and backward, orsequential). The prediction module(s) also demonstrate different
Lucy Arellano Jr., Ph.D.,Associate Professor, The Gevirtz School of Education, University of California, Santa Barbara, SantaBarbara, California 93106-9490. email: lucya@ucsb.edu. phone: 805.893.8706. Abstract In the pursuit of enhancing the success of students in science, technology, engineering, andmathematics (STEM) fields, understanding the intricate network of factors influencing theirachievements is crucial. This phenomenological study investigates the multifaceted network offactors influencing the success of students in STEM, with a specific focus on a Hispanic ServingInstitution (HSI) community college in Southern California. Through faculty interviews and studentfocus groups, the
business challenges with technology solutions). His research focus are in cyber executive management, expert crowdsourcing, and decision analytics. Brian is also the Deputy Vice President for Digital Engineering Programs at Parsons Corporation.Nirup M. Menon, George Mason University ©American Society for Engineering Education, 2024 Doing Before Graduating: Experiential Learning with Part-time Internship & Grants Brian K. Ngac, PhD Nirup Menon, PhD Instructional Faculty & Dean’s Teaching Fellow, Professor, Information Systems & OperationsInformation Systems & Operations Management Management
Designing Curriculum for Digital-native Architecture Students Andrzej Zarzycki New Jersey Institute of Technology andrzej.zarzycki@njit.eduIntroductionThis paper discusses a pedagogical approach toward teaching the first-year curriculum in anarchitectural program. It focuses on two courses. The first is a design studio, a 5- to 6-creditclass, taught in a small group of 12 to 15 students with a high number of contact hours, usuallyaround 12 hours per week. The other course, also geared toward first-year students, is offered ina lecture format with 30 to 36 students and covers the relationship between digital tools andconcepts
Designing Curriculum for Digital-native Architecture Students Andrzej Zarzycki New Jersey Institute of Technology andrzej.zarzycki@njit.eduIntroductionThis paper discusses a pedagogical approach toward teaching the first-year curriculum in anarchitectural program. It focuses on two courses. The first is a design studio, a 5- to 6-creditclass, taught in a small group of 12 to 15 students with a high number of contact hours, usuallyaround 12 hours per week. The other course, also geared toward first-year students, is offered ina lecture format with 30 to 36 students and covers the relationship between digital tools andconcepts
., "Optical fiber pressure sensor based on photoelastic effect and its applications,"Journal of Lightwave Technology, 10, pp. 1466-1472, 1992.[2] B. C. S. Chou, J.-S. Shic, and Y.-M. Chen. "A highly sensitive pirani vacuum gauge," The 8thInternational Conference on Solid-State Sensors and Actuators: Eurosensors IX. Transducers'95, Vol.2, pp. 167-170, 1995.[3] W. P. Eaton and J. H. Smith, “Micromachined pressure sensors: Review and recent developments”Proc. SPIE - The International Society for Optical Engineering, Vol. 3046, pp. 30-41, 1997.[4] G. Blasquez, P. Pons, and A. Boukabache, “Capabilities and limits of silicon pressure sensors,”Sensors and Actuators A: Physical, Vol. 17, pp. 387-403, 1989.[5] W. H. Ko, “Solid-state capacitive pressure
Form-making with special effect simulations Andrzej Zarzycki New Jersey Institute of Technology Session 8 : All other topics.Recent computational technologies expand the formal language of architecture and renewresearch in the nature of design creativity. While design outcomes often challenge establishedgeometries and traditional architectural forms, they frequently converge on broader aesthetics ofcontemporary design, taking cues from other creative disciplines such as product design. While digitally inspired thinking allows for a broader reading of architecture, promotinginnovative and unique designs as well as new
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Goal Directed Design of Serial Robotic Manipulators Sarosh Patel and Tarek Sobh questions. Equations describing the kinematic behavior of Abstract — Computing the optimal geometric structure of serial manipulators are highly nonlinear with no closedmanipulators is one of the most intricate problems in solutions. The difficulty in most cases lies not in finding acontemporary robot kinematics. Robotic manipulators are
to educate the public about the operation of the power system. By educating the public,the grid will have customers who have a better grasp of the system and are more likely to offervital help to Duke Energy when it is needed. Furthermore, Duke Energy seeks to motivate andencourage talented young people to pursue careers with the company, recognizing thatenthusiastic young professionals will play an important role in meeting the growing demand forenergy utilities, particularly as ambitious clean energy initiatives are implemented.Therefore, as part of their effort to educate the public about the electric grid, Duke Energypartnered with the College of Engineering and Technology at Western Carolina University(WCU) to develop an educational
Paper ID #49582Advancing WiFi-based Imaging: An Approach for Real-Time Object Detectionand ClassificationBenjamin Lubina, Gannon University Benjamin Lubina is an MBA student and Cybersecurity Graduate at Gannon University. He founded and ran the school Cyber Defense Club for 3 years, competed in challenges and competitions, and published several papers in the fields of machine learning and sensor interpretation. He has 5+ years of experience with software development, cyber risk assurance, and data analysis.Dr. Ramakrishnan Sundaram, Gannon University Dr. Sundaram is a Professor in the Electrical and Computer Engineering
Paper ID #37592Lexical Measurement of Teaching QualitiesLaura BiesterIan StewartDr. Laura Hirshfield, University of Michigan Laura Hirshfield is a Diversity, Equity, and Inclusion lecturer and research assistant at the University of Michigan. She received her B.S. from the University of Michigan and her Ph.D. from Purdue University, both in chemical engineering.Rada MihalceaSara Pozzi ©American Society for Engineering Education, 20231 IntroductionIt is common practice to utilize course evaluations to have students anonymously rate theirinstructor’s teaching ability, and other aspects of the course
interruptions in course delivery, it introduced several challenges in ensuring student engagement and efficient learning. Significant efforts must be made to (a) develop KLAs that circumvent the challenges of online teaching of IoT development (b) develop platforms and technologies that would help realize the modified KLAs (c) establish quality standards for accreditation of online workshops and courses. 2. Online labs introduce new logistic challenges - Online IoT labs rely heavily on good Internet connection, up to date systems, and platforms that enable hardware emulation. Through our experiences, we learnt that the majority of students
AC 2009-1091: SELF-POWERED WIRELESS-CAMERA SYSTEM DESIGNFaruk Yildiz, Sam Houston State University Page 14.1049.1© American Society for Engineering Education, 2009 Self Powered Wireless Camera System DesignAbstractEnergy harvesting is described as the conversion of ambient energy into usable electrical energy.When compared with energy stored in common storage elements, such as batteries, capacitorsand the like, the environment represents a relatively infinite source of available energy.Conventional electrochemical batteries power most of the portable and wireless electronicdevices that are energized with electric power. In the past few years, electrochemical
current research focuses on integrating project management processes in undergraduate education. Her main goal is to understand how work management and product development practices widely used in industry can be modified and adapted to streamline undergraduate STEM education.Dr. Alejandra J. Magana, Purdue University Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and Professor of Engineering Education at Purdue University. ©American Society for Engineering Education, 2024 Effectiveness of Scrum in Enhancing Feedback Accessibility among Undergraduate Research Students: Insights from Integrated Feedback
Paper ID #42423Board 267: Enhancing Urban Mobility: SmartSAT’s Impact on Public TransportationServices and Commuting ExperienceDr. Jeong Yang, Texas A&M University, San Antonio Dr. Jeong Yang is an associate professor of computer science and cyber security in the Department of Computational, Engineering, and Mathematical Sciences at Texas A&M University-San Antonio. She is also a director of the Center of Information Technology and Cyber Security. Her current research is focused on the areas: 1) Intelligent applications of cloud-based AI services to discover effective use of AI technologies, 2) AI-powered secure
mathematics, engineering, and technology: A meta-peer assessment and bias mitigation methodology. This analysis,” Review of educational research, vol. 69, no. 1,methodology will then be tested in classrooms and evaluated pp. 21-51, 1999.for its effectiveness in reducing the effects of bias on peerassessment marks. This process will focus on implementing a [9] L. A. Stefani, “Peer, self and tutor assessment: Relative“bias intervention” structured to help students overcome reliabilities,” Studies in Higher Education, vol. 19 no. 1,specific biases related to race, gender, and international pp. 69-75, 1994.student status. In university
for students 2 . Thisapproach is critical in fields like AI and ML, which can be abstract; therefore, grounding theseconcepts in tangible data and real scenarios helps demystify the technology and stimulatecuriosity.2.3 Robotics in STEM EducationRobotics has become a valuable means for enhancing STEM education by offering concreterepresentations of computer and engineering concepts. Prior work on robotics in STEM educationshows that using robots and their data can intrinsically or extrinsically motivate the learners 7 .Robotics projects often involve elements of problem-based learning that boost classroomengagement 7 . A broad meta-analysis of educational robotics interventions found a moderate butsignificantly positive effect on student
Paper ID #36732Efficacy of the Dual-Submission Homework MethodJoshua Jay Graduate student from the University of Oklahoma.Doyle Dodd (Assistant Professor of Practice) Industrial & Systems Engr. Department, University of Oklahoma. Teaching-focused professor, currently teaching CAD, Ergonomics, Intro to ISE, Capstone © American Society for Engineering Education, 2022 Powered by www.slayte.com Efficacy of the Dual-Submission Homework Method Joshua Jay Dr. Doyle
):223-231.3. Springer L, Stanne ME, Donovan SS. Effects of Small-Group Learning on Undergraduates in Science,Mathematics, Engineering, and Technology: A Meta-Analysis. Review of Educational Research. 1999;69(1):21-51.4. Wales CE, Stager RA. Thinking with Equations : Problem Solving in Math & Science. Morgantown, W. Va.: C.E.Wales; 1990.5. National Research Council. Educating the Engineer of 2020: Adapting Engineering Education to the NewCentury. Washington, DC: The National Academies Press; 2005.6. Duderstadt JJ. Engineering for a Changing World: A Roadmap to the Future of American Engineering Practice,Research, and Education. In: Domenico G, Burkins MB, eds. Holistic Engineering Education: Beyond Technology.New York: Springer; 2010:17-35.7