course was necessitated by the fact that the Electricaland Computer Engineering Department in which the concept is being deployed has the resourcesto offer but a single course in microwave engineering. Thus it is expected that programs whichseek to provide students a rather broad sampling of microwave circuitry and systems in a singlecourse may benefit from the chosen approach.IntroductionStudents enrolled in the Electrical and Computer Engineering Department at Montana StateUniversity chose from a variety of upper division discipline-specific courses to satisfy their“professional electives” requirements. One of the upper division electives, taken both by senior-level undergraduates and graduate students, is EE 433 – Planar Microwave Circuits
AC 2008-1388: COGNITIVE MAPPING IN SERVICE LEARNING AND CIVICENGAGEMENT IN A STUDIO COURSE WITH AN ADA ACCESSIBLE PROJECTSuining Ding, Indiana University-Purdue University-Fort Wayne (Eng) Suining Ding is an assistant professor with Indiana University Purdue University Fort Wayne. She has been actively engaged in innovative teaching. Her research interests include 3D digital modeling, Cross-cultural comparison of architecture, cognitive perceptions of interior space, relationships of human behaviour and environment. Page 13.299.1© American Society for Engineering Education, 2008 Cognitive Mapping
AC 2009-1749: CULTURALLY-RELEVANT SCIENCE CURRICULUM - EFFORTSIN A SECONDARY SCHOOL - UGANDAAlexandre Probst, Colorado School of MinesAarthi Krishnaswamy, Colorado School of MinesVinita Singh, Colorado School of MinesBarbara Moskal, Colorado School of MinesCyndi Rader, Colorado School of Mines Page 14.391.1© American Society for Engineering Education, 2009 Culturally-Relevant Science Curriculum: Efforts in a Secondary School, Uganda, Africa Key Words: Culturally-relevant, simulated, laboratory, learner-centered Abstract This paper describes the design of a simulated science laboratory experiment which has
AC 2009-1819: EXAMINING THE IMPLICATIONS AND CHALLENGES INCLOUD COMPUTING ENVIRONMENTS: AN EXPLORATORY STUDYNipul Patel, Purdue University, North CentralBryan Marshall, Georgia College and State University Page 14.599.1© American Society for Engineering Education, 2009 EXAMINING THE IMPLICATIONS AND CHALLENGES IN CLOUD COMPUTING ENVIRONMENTS: AN EXPLORATORY STUDYAbstractCommercial enterprises are increasingly utilizing cloud computing as a solution tofluctuating capacity challenges. Cloud computing offers the possibility of on-demandcapacity, allowing commercial enterprises to “tweak” their network infrastructure basedon increased or decreased
Paper ID #6013Matching Pursuits in EEG AnalysisDr. Mohammad Rafiq Muqri, DeVry University, PomonaMr. Furqan Muqri, UT Southwestern Medical SchoolProf. Shih Ek Chng, DeVry University Page 23.886.1 c American Society for Engineering Education, 2013 Matching Pursuits in EEG Analysis : Development of a diagnostic toolAn Electroencephalogram (EEG) signal is the recording of the electrical activity (voltagefluctuations) along the scalp due to the currents that flow during synaptic excitations of
Institutional Research, National Postsecondary Education Cooperative (AIR/NPEC).Mr. Federick Ngo, University of Southern California Federick Ngo is a Ph.D. candidate in Urban Education Policy at the University of Southern California. His research interests include college access and persistence, math education, and community colleges. c American Society for Engineering Education, 2017 Using High School Transcript Data and Diagnostic Information to Fine-Tune Placement Policy and Tailor Instruction in Developmental Math One of the curiosities of remedial/developmental math education in community collegesis that faculty typically do not have
AC 2007-1242: COMPARATIVE EVALUATION OF ZIGBEE AND BLUETOOTH:EMBEDDED WIRELESS NETWORK TECHNOLOGIES FOR STUDENTS ANDDESIGNERSJanell Armstrong, Brigham Young University Janell Armstrong is a Graduate Student in Information Technology at BYU. Her interests are in ZigBee and public key infrastructure. She has three years experience as a Teacher's Assistant. Student memberships include IEEE, IEEE-CS, ACM, SWE, ASEE.C. Richard Helps, Brigham Young University Richard Helps is the Program Chair of the Information Technology program at BYU and has been a faculty member in the School of Technology since 1986. His primary scholarly interests are in embedded and real-time computing and in technology
(expected) Bachelor of Science in Computer Info Technology Department of Computer Info Tech Graphic Courses: Integrative Programming, Networking Technologies, Discrete Mathematics for IT, Applied Database Tech, Data Communication and Network- ing. Projects and Activities: Created a customer/employee management system with windows server 2008 R2 Created the database and few Web Pages that help to update, insert, and delete data for a customer and employees. Created a Minesweeper with the C# by Visual studio 2010 Created a minesweeper game, which can set mines’ number. Created a high school grade management system with the Basic C by Visual Studio 2010 Created a database for a high school which could help the school
AC 2009-1086: SIMPLIFIED TEACHING AND UNDERSTANDING OFHISTOGRAM EQUALIZATION IN DIGITAL IMAGE PROCESSINGShanmugalingam Easwaran, Pacific Lutheran University Shanmugalingam Easwaran holds Ph.D., MS (Clemson University, SC), and BS (University of Peradeniya, Sri Lanka) degrees in Electrical Engineering. He is currently an Assistant Professor in the Computer Science and Computer Engineering department at Pacific Lutheran University (WA). Prior to this, he was an Assistant Professor at Xavier University of Louisiana (LA). Before joining the academia, he was in the industrial sector working for companies such as NYNEX Science and Technology, Periphonics Corporation, and 3Com Corporation. His teaching and
Paper ID #7987Use of a CPLD in an Introductory Logic Circuits CourseDr. Krista M Hill, University of HartfordDr. Ying Yu, University of Hartford Dr. Ying Yu received the B.Eng. degree from Fudan University in Shanghai, China, in 2000. She received the M.Eng. degree and Ph.D. in Electrical Engineering from Brown University in 2003 and 2007, respectively. Since 2008, she has been teaching as an assistant professor of the Department of Electrical and Computer Engineering at University of Hartford. Her current research interests includes audio and speech signal processing, bowel sound detection, speaker identification and
AC 2011-1231: EXPLORING THE USE OF VIRTUAL MACHINES ANDVIRTUAL CLUSTERS FOR HIGH PERFORMANCE COMPUTING EDU-CATION.Thomas J. Hacker, Purdue University, West Lafayette Page 22.690.1 c American Society for Engineering Education, 2011 Exploring the Use of Virtual Machines and Virtual Clusters for High Performance Computing Education.AbstractHigh performance computing systems have been based on commodity computing hardware sincethe introduction of Beowulf systems in the mid-1990’s. The emergence of virtualization andcloud computing technologies now make it possible to build high performance computing
. Career goals and retention-related factors among college freshmen. Journal of Career Development, 32(1):16–30, 2005. [6] Leila Zahedi, Stephanie J. Lunn, Samira Pouyanfar, Monique S. Ross, and Matthew W. Ohland. Leveraging machine-learning techniques to analyze computing persistence in undergraduate programs. In 2020 ASEE Virtual Annual Conference Content Access, number 10.18260/1-2–34921, Virtual On line, June 2020. ASEE Conferences. https://peer.asee.org/34921. [7] Ilias O Pappas, Michail N Giannakos, and Letizia Jaccheri. Investigating factors influencing students’ intention to dropout computer science studies. In Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education
. Finally, we pilot the forcebalance in an undergraduate mechanical engineering lab setting and find that students are able toexplore the setup, understand the load cell functionality, and use the system to measure drag on asphere. The force balance enables students to gain hands-on learning experience related to bothfluid mechanics and statics, and our user study shows that the force balance is durable throughclassroom use. The low cost, robustness, and high adaptability of the system makes it suitable forincorporating in multiple labs or for allowing student project teams to utilize the system in theirown experiments.1 IntroductionAccess to a wind tunnel enables students to gain real world experience with fluid dynamicsconcepts. This is
”Collaborative Research: Improving Representational Competence by Engaging with Physical Modeling in Foundational STEM Courses”.Eric Davishahl, Whatcom Community College Eric Davishahl is assistant professor and engineering program coordinator at Whatcom Community Col- lege. His teaching and research interests include developing, implementing and assessing active learning instructional strategies and auto-graded online homework. Eric has been a member of ASEE since 2001. He currently serves as awards chair of the Pacific Northwest Section and was the recipient of the 2008 Section Outstanding Teaching Award.Todd Haskell, Western Washington University Todd Haskell is a cognitive scientist interested in learning and the
Engineering Education, 2022 Powered by www.slayte.com Heaving Homemade Buoys: A Project Leveraging Smart Phone Movies and MATLAB-Based Image Processing to Teach Dimensional Analysis in an Undergraduate Fluid Mechanics CourseIntroductionThe COVID-19 pandemic, and the required transition to virtual instruction for many, has taughteducators that they must be flexible in their mode of content delivery. While this can be a challengefor many subjects, engineering courses that traditionally benefit from hands-on activities can beespecially stressed if the infrastructure to provide those experiences is based on the use ofexperiments and demonstration apparatus which are often
Paper ID #20288Exercises in Continuous-Time ConvolutionDr. Anthony M. Richardson, University of Evansville Anthony Richardson has been teaching engineering for over 20 years. He joined the electrical engineering department at the Univerisity of Evansville in 2000. His interests are in signal processing and communi- cations. c American Society for Engineering Education, 2017 Exercises in Continuous-Time Convolution - A Basis Function ApproachContinuous-time convolution is one of the more difficult topics that is taught in a Signals andSystems course. This
of 357 articles related to predicting performance in computer science coursework was published by Hellas et al in 2018 [1]. Most of the research surveyed concerned predictinggrades for programming courses. This paper is different. It concerns giving rapid feedback tostudents who are engaged in cybersecurity exercises. Beyond the work mentioned in that article,there have been a few attempts to predict student outcomes specifically for cybersecurity trainingand exercises [2, 3, 4]. One of the first examples used the support vector machine to predict whethera student would complete an exercise based on their success in the beginning of the exercise [5].Our current work explores a number of machine learning algorithms and compares their
Frequency of Exams and Student Performance in a Solid Mechanics Course Stephen N. Kuchnicki Mechanical Engineering Program Department of Physical Sciences York College of Pennsylvania York, PA 17403-3651This study compares several methods of examinations given in an introductory solid mechanicscourse. Three different examination schedules are compared. The first schedule used three 75-minute midterm exams distributed equally through the semester and a 120-minute final exam.The second method reduced the number of 75-minute midterm exams to two, but introducedfive-minute clicker
Paper ID #8607Design of Laboratory Apparatus for Temperature Prediction in Turning Pro-cessDr. Zhenhua Wu, Virginia State University Dr. Zhenhua Wu, is currently an Assistant Professor at Virginia State University. He received his PhD in Mechanical Engineering from Texas A&M University. His current research interests focus on control and diagnose complex systems, sustainable manufacturing, and nano manufacturing.Dr. Nasser Ghariban, Virginia State University Page 24.371.1 c American
AC 2007-1924: FIXED-POINT DSP IMPLEMENTATION: ADVANCED SIGNALPROCESSING TOPICS AND CONCEPTUAL LEARNINGWayne Padgett, Rose-Hulman Institute of Technology Wayne T. Padgett received his Ph.D. from Georgia Institute of Technology in 1994. He has been teaching digital signal processing and related courses at Rose-Hulman Institute of Technology for 12 years. He is a member of ASEE, a senior member of the IEEE, and is on the IEEE Signal Processing Society’s Technical Committee on Signal Processing Education. Page 12.752.1© American Society for Engineering Education, 2007 Fixed-Point DSP Implementation
Paper ID #5845An Applied Comparison Study: Solar Energy vs. Thermoelectric EnergyDr. Faruk Yildiz, Sam Houston State UniversityMr. Keith L. Coogler, Sam Houston State UniversityBill Crockford, Sam Houston State University Dr. Crockford is an assistant professor and registered professional engineer in Texas. Page 23.150.1 c American Society for Engineering Education, 2013 An Applied Comparison Study: Solar Energy vs. Thermoelectric EnergyAbstractThermoelectric generators (TEG) are devices that
AC 2009-378: VIRTUAL-REALITY TECHNOLOGY AND THE TEACHING OFARCHITECTURAL LIGHTINGMary Ann Frank, Indiana University-Purdue University, IndianapolisDavid Cowan, Indiana University-Purdue University, IndianapolisMichael Boyles, Indiana University-Purdue University, IndianapolisJeffrey Rogers, Indiana University-Purdue University, IndianapolisKeith Goreham, Indiana University-Purdue University, IndianapolisJatmika Suryabrata, Gadjah Mada University, IndonesiaYulyta Kodrat, Indonesian Institute of the Arts Page 14.1350.1© American Society for Engineering Education, 2009 Virtual Reality Technology and the Teaching of Architectural LightingAbstractThe study of lighting in
, where she focused on improving the first year physics course by developing and implementing ’Link Maps’, as well as synthesising an understanding of physics student learning by integrating a variety of theoretical backgrounds, from neuroscience via cognitive psychology to educational theories. Christine’s current research focuses on improving the science teacher education program at Oslo and Akershus University College, and she has a keen interest in how the brain learns physics. Christine also holds a position as Adjunct Associate Professor of University Pedagogy at the Norwegian University of Science and Technology, where she teaches short courses on university teaching to PhD students and researchers
ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgeport, CT, USA. Performance Evaluation of Unicast Networks Using Different Queuing Protocols Bushnag, Anas Bach, Christian University of Bridgeport University of Bridgeport Bridgeport, United States Bridgeport, United States School of Engineering Department of Technology Management abushnag@my.bridgeport.edu cbach
Construction Engineering from the University of Nebraska. c American Society for Engineering Education, 2016 Peer and Student Review of an Online Construction Management Sustainability Course This paper presents the delivery system for an online construction management course in sustainability and the built environment at a major university. Information about the course layout, assignments, discussions, and assessments are provided in this paper. The course provides a systems approach to green building science that includes sustainable site development, water use efficiency, renewable energy, improving material use, indoor environmental quality, and design innovation. The authors
AC 2010-1447: AN EXPERIENCE WITH CLOUD COMPUTING IN THECLASSROOMSusan Miertschin, University of Houston Susan L. Miertschin is an Associate Professor in Computer Information Systems at the University of Houston. She began her career in higher education teaching applied mathematics for engineering technology students. She demonstrated consistent interest in the application of information and communication technologies to instruction. This interest plus demonstrated depth of knowledge of computer applications and systems caused her to change her teaching focus to computer information systems in 2000. Recently, she has completed graduate course work in the area of Medical Informatics in order
AC 2010-2231: AN INTERACTIVE LEARNING ENVIRONMENT FOR DSPShalin Mehta, Arizona State UniversityJayaraman Jayaraman Thiagarajan, Arizona State UniversityPhotini Spanias, Arizona State University Photini Spanias, Ed.D. is a senior lecturer at CTEL of Arizona State University.Karthikeyan Ramamurthy, Arizona State UniversityRobert Santucci, Arizona State UniversityAndreas Spanias, Arizona State UniversitySusan Haag, Arizona State UniversityMahesh Banavar, Arizona State University Page 15.164.1© American Society for Engineering Education, 2010 AN INTERACTIVE LEARNING ENVIRONMENT FOR DSPAbstractThis paper presents a new version of the
challenges for faculty would be to identify which software tool to use tointroduce this subject in a one semester undergraduate course. In this paper, we compare and contrast three popularcommercial and three popular open source tools that are available for faculty.Keywords: Data Mining, SAS, IBM SPSS Modeler, MATLAB, R, WEKA, RapidMinerIntroduction:Enormous amounts of data are generated every minute. Some sources of data, such as thosefound on the Internet are obvious. Social networking sites, search and retrieval engines, mediasharing sites, stock trading sites, and news sources continually store enormous amounts of newdata throughout the day [5].We are in a new era in modern information technology - the “Big Data” era. In March, 2012, theU.S
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Employee Attrition: Leveraging Machine Learning Explainability to Identify Key Predictors of Turnover Dinh Cuong Nguyen Gregory Lovisolo Dan Tenney School of Engineering Ernest C. Trefz School of Business School of Engineering University of Bridgeport University of Bridgeport University of Bridgeport Bridgeport, Connecticut, USA Bridgeport, Connecticut, USA Bridgeport, Connecticut, USA dinguyen@my.bridgeport.edu
currently working as exchange professor at California Polytechnic State University in San Luis Obispo. Page 25.1252.1 c American Society for Engineering Education, 2012 Teaching Multibody System Simulation, an Approach with MATLABAbstractTeaching Multibody Systems needs to cover the related theoretical concepts of advanceddynamics, the application of the necessary numerical methods in a sufficient depth, andneeds to give students the opportunity to model and solve authentic problems on theirown. The last step may only be done with the help of a computer. A variety of