AC 2009-1781: USE OF PYTHON IN TEACHING DISCRETE MATHEMATICSAli Farahani, National University, San Diego Page 14.1303.1© American Society for Engineering Education, 2009 USE OF PYTHON IN TEACHING DISCRETE MATHEMATICS Alireza Farahani, Ronald P. Uhlig School of Engineering and Technology, National University, 11255 North Torrey Pines Road, La Jolla, California, U.S.A.Abstract:Discrete structures class is among the foundational classes in computer science since it includesmaterials that are highly pervasive in other areas of computer science such as data structures
for power systems. Nonlinearloads, such as the power supplies for electronic devices, introduce harmonic currents into the power system,which can cause failures in power system equipment as well as in other loads. Evidence of harmonic problemsinclude circuit breakers tripping when they shouldn’t or failing to trip when they should, overheated neutralconductors or transformers, erratic operation or tripping of adjustable speed drives, blown power factorcorrection capacitors, and communication interference. The problems are different, but their causes are related. Since every user of the power system contributes to the problem, I believe all electrical engineers andtechnicians need to have a basic understanding of power quality issues
through higher level courses, such as Design of Machine Elements, and SeniorDesign Projects, the program can serve as a valuable resource to perform calculations on shafts, frame rails, etc. REFERENCES1) BeamBoss - Computer Program, Software Consulting Specialists, Ft. Wayne, IN 19852) Microsoft Mouse Programmer’s Reference, by Microsoft Press, 19893) Zecher, J. E., Computer Graphics for CAD/CAM Systems, Marcel Dekker, 19944) Cook, R. D., Finite Element Modeling for Stress Analysis, John Wiley & Sons, 1995Jack Zecher is a registered professional engineer in the state of Indiana and Professor of MechanicalEngineering Technology at Indiana University - Purdue University at Indianapolis. He
-a”. Session 3565 RELIABILITY: AN INTERDISCIPLINARY APPLICATION Paul J. Laumakis, Richard West United States Military AcademyIntroductionAssessing the reliability of large-scale systems is a problem common to all engineering disciplines. Fromsimple piping systems to highly complex computer networks, reliability issues are of major concern to bothdesigners and manufacturers, as well as customers. At the same time, the national mathematics reformmovement would like us to introduce our students to the relevance and usefulness of the mathematics used
Paper ID #21086The Evolution of College Credit Recommendations for the United States Armyby the American Council on EducationJanet C. Ford, Western Carolina University Janet Ford, Juris Doctor, is an Assistant Professor in the College of Business at Western Carolina Univer- sity and teaches in the area of business law.Dr. George D. Ford, Western Carolina University Dr. George Ford P.E. is an associate professor in the Construction Management Department at Western Carolina University. c American Society for Engineering Education, 2018The evolution of college credit recommendations for the United
2006-1777: DEVELOPMENT AND INTEGRATION OF A DIGITAL CONTROLLABORATORY WITH A DIGITAL SYSTEM LABORATORY AT YOUNGSTOWNSTATE UNIVERSITYBen Shaw, Youngstown State UniversityFaramarz Mossayebi, Youngstown State University Page 11.452.1© American Society for Engineering Education, 2006 FlexARM1: An ARM Based IP Core for the UP3 Education KitIntroduction Today’s embedded solutions require a rapid product development time to meet strictmarket demands1. It is essential for system design engineers to verify complex designs inhardware before final implementation. In order for upper level undergraduate students to gainexposure to this verification process, a system level
AC 2010-1357: HOW A DATA MINING COURSE SHOULD BE TAUGHT IN ANUNDERGRADUATE COMPUTER SCIENCE CURRICULUMReza Sanati-Mehrizy, Utah Valley UniversityPaymon Sanati-Mehrizy, University of PennsylvaniaAfsaneh Minaie, Utah Valley UniversityChad Dean, Utah Valley University Page 15.646.1© American Society for Engineering Education, 2010 How a Data Mining Course Should be Taught in an Undergraduate Computer Science CurriculumAbstractData mining is a relatively new area of computer science that brings the concept of artificialintelligence, data structures, statistics, and database together. It is a high demand area becausemany organizations and businesses can benefit
AC 2012-3689: TRANSITIONING A LAB-BASED COURSE TO AN ON-LINE FORMAT: STRATEGIES FOR SUCCESSMr. Kevin P. Pintong, Binghamton University Kevin Pintong is a second-year master’s student with interests in online education and embedded systems.Dr. Douglas H. Summerville, Binghamton UniversityMr. Kyle Temkin, BInghamton University Page 25.1376.1 c American Society for Engineering Education, 2012Transitioning a lab-based course to the online format: Strategies for Success Department of Electrical and Computer Engineering Binghamton University
Session 2432 Creating a “Distributed Learning Environment” using WebCT Yacob Astatke Electrical Engineering Department Morgan State University Email: astatke@eng.morgan.edu ABSTRACTThe “distributed learning environment” as contrasted to the teacher centered classroom, isgrowing at all levels of education. Today, the existing lecture model is changing.Emphasis is on skills needed in today’s workplace, such as collaboration, sharing andgroup activity. The WWW Course
AC 2011-2036: WORK-IN-PROGRESS: EDUCATIONAL EFFECTIVENESSOF IMPLICIT COURSE CONTENT EMBEDDED WITHIN COMMER-CIAL VIDEO GAMESBruce Eric Davis, Purdue University Bruce Davis is currently a computer graphics technology masters student with a focus in software devel- opment, and gaming.David M Whittinghill, Purdue University, West Lafayette Page 22.1704.1 c American Society for Engineering Education, 2011 Work-in-Progress: Educational effectiveness of implicit course content embedded within commercial video gamesAbstractAs video games have
treatments. Results of the post-lab activities revealed that students in the treatment group couldrespond more effectively to questions that pertained specifically to the learning task they hadperformed than could students performing the more traditional laboratories. Students in bothtreatment groups displayed similar difficulties when confronted with graphical interpretationpost-lab questions that deviated slightly from the tasks they had performed in the laboratory.Student Attitude and Motivation Informal observations were made while students were performing the laboratoryactivities. Students using the digital video tools expressed a feeling of self-satisfaction in thatthey were able to work successfully with and use the technology
OUT 769, D300 L = INP(768)310 IF L = 128 THEN B1 = 2 ELSE B1 = 0320 D = B7 + B6 + B5 + B4 + B3 + B2 + B1 + 1330 OUT 769, D340 L = INP(768)350 IF L = 128 THEN B0 = 1 ELSE B0 = 0360 D = B7 + B6 + B5 + B4 + B3 + B2 + B1 + B0370 PRINT D380 SLEEP 1390 GOTO 10References:1. PSpice and Circuit Analysis, MicroSim Corporation, 20 Fairbanks, Irvine, CA 92718.2. Electronics Workbench, Interactive Image Technologies LTD., 111 Peter Street, #801, Toronto, Ontario, Canada M5V 2H1.3. %QORWVGT +PVGTHCEG HQT .KSWKF %T[UVCN &KURNC[ .%&L #OGTKECP 5QEKGV[ HQT 'PIKPGGTKPI'FWECVKQP#5''#PPWCN%QPHGTGPEG2TQEGGFKPIU5GUUKQP2CRGT ,WPG /QVQTQNC.KVGTCVWTG&KUVTKDWVKQP21$QZ2JQGPKZ#< K&GUKIP %QPUVTWEVKQP CPF #PCN[UKU QH C
AC 2010-579: PRISM: A SIMPLE SIMULATION FOR INTRODUCTION OFASSEMBLY LANGUAGE AND COMPUTER ARCHITECTUREBrian Peterson, United States Air Force AcademyAnne Clark, USAF Academy, CO Page 15.980.1© American Society for Engineering Education, 2010 PRISM: A Simple Simulation for Introduction of Assembly Language and Computer ArchitectureAbstractOne of the enduring problems in introducing computer architecture and assemblylanguage to students is most systems are so complex that the students quickly lose sightof how the subsystems interrelate. To effectively teach how a system processes andexecutes instructions, most students must program in assembly language and
sharing Information Assurance (IA) teaching materials andlaboratory resources, to forming state-wide working groups and organizing state-wide education and 1research conferences and workshops. As a lead institution, WSU takes the role of developing anddesigning the exemplary educational materials, courses, and curricula. WSU will also develop effectiveapproaches and practices for providing technical education and training for current and future technicalprofessionals in Cybersecurity and Forensics. Together, the participating institutions are working towardssupporting the mission of producing more science and engineering technicians [2]. 2
Studies on Filtration of Fermentation Wastewater Using Sand- Carbon Filter George Munyori, Gbekeloluwa Oguntimein Department of Civil Engineering, Morgan State UniversityAbstractBiofuels production from cellulosic materials as carbohydrate source is being investigated as oneof the alternatives to the solution of the energy problem. One of the potential processes involvessimultaneous hydrolysis and fermentation. The wastewater from such process must be treatedbefore being released to the environment. In order to make the process even more economicaland environmentally friendly, the wastewater needs to be treated and recycled. This study isinvestigating
concepts and to other learning contexts where software is integratedwith offline learning. Practical considerations are discussed such as how the author deals withdifferent software versions and monitor/font sizes varying among student laptops, his officecomputer, and the computers used in the teaching lab. The paper concludes with a remainingchallenge for which the author has not yet found a good approach.IntroductionDuring their junior or senior year, Clarkson University students majoring in Engineering andManagement take a course in operations research. In this course, students learn to formulate andsolve management decision problems using Microsoft-Excel spreadsheets. Many of theseproblems are framed and solved as optimization models. In an
ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. Contextual Learning Ruzanna Davtyan Technology Management University of Bridgeport Bridgeport, CT, USA rdavtyan@hotmail.com Abstract—this paper examines the use of Contextual Learning According to Hull “contextual learning theory says thatto answer questions about the multiple aspects of any learning learning occurs
Paper ID #49743Anti-Plunge Medical Educational Device: University of Southern CaliforniaSenior DesignMs. Sophie Emma Herant, University of Southern CaliforniaAlexander William Clark Kuncz, University of Southern California ©American Society for Engineering Education, 2025 An Improved Method for Resident Orthopedic Surgeon Training: the Anti-Plunging Medical Educational Device (APMED)Abstract As part of the USC biomedical engineering program, seniors take a capstone seniordesign course in which they design and build a prototype of a medical device or testing system.Our project seeks to address a common
Paper ID #49606PolarBear DSP Digital Effects PedalWesley Cole Hanson, Ohio Northern UniversityCody Beagle, Ohio Northern UniversityAaron Altstaetter, Ohio Northern UniversityAmari Shamar Patterson, Ohio Northern University ©American Society for Engineering Education, 2025 Polarized Sound (DSP Digital Effects Pedal)Introduction:This paper will detail a senior project in which the team design a digital effects pedal formusicians. This effects pedal will give a user the ability to experience a variety of guitareffects that they otherwise would have to purchase individually, all in the
success,addressing challenges, and enabling timely interventions [8, 9]. Lecture-based engagement,which encompasses student attentiveness, participation, and cognitive involvement, is stronglylinked to academic performance and long-term retention in science, technology, engineering, andmathematics (STEM) fields. LE data, typically gathered through self-reports, provides insightsinto students’ perceptions and emotions within educational settings [10]. However, the subjectivenature of self-reported data and its temporal variability introduce challenges in accuratelycapturing engagement dynamics, necessitating advanced NLP and time-series forecastingtechniques [6]. While Transformer-based models have shown promise in time-series analysis[11
a Guinness World Record. His new book is titled: ”Everyone Loves Speed Bumps, Don’t You? A Guide to Innovative Thinking.” Dr. Daniel Raviv received his Ph.D. degree from Case Western Reserve University in 1987 and M.Sc. and B.Sc. degrees from the Technion, Israel Institute of Technology in 1982 and 1980, respectively. American c Society for Engineering Education, 2020 Using Experiences for Explaining the Concept of Discontinuity Daniel Raviv College of Engineering and Computer Science Florida Atlantic University Email: ravivd@fau.edu
AC 2008-1075: USING INEXPENSIVE A.C. MOTOR DRIVES IN ANINTRODUCTORY POWER AND CONTROLS COURSETimothy Skvarenina, Purdue University Tim Skvarenina was born in Chicago, Illinois. He received the BSEE and MSEE degrees from the Illinois Institute of Technology and the Ph.D. in electrical engineering from Purdue University. During his college career he worked four summers at U.S. Steel as an assistant electrician, rewinding motors and installing electrical equipment. He served 21 years in the U.S. Air Force, including six years designing, constructing, and inspecting electric power distribution projects for a variety of facilities. He spent five years teaching and researching pulsed power systems
Paper ID #42350Proposing a Culturally Sustaining Pedagogy Research Framework in Sub-SaharanAfrica STEM Education: A Paradigm Shift from Deficit to Asset Based PerspectivesMr. Viyon Dansu, Florida International University Viyon had his Bachelors and Masters degrees in Systems Engineering. Thereafter he co-founded STEMEd Africa, a social enterprise involved in developing products and services geared at teachers’ development and improving high school student’s problem-solving abilities in STEM subject areas in Nigeria. He is currently a doctoral candidate of Engineering and Computing Education at Florida International University
ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. Efficient Critical System Event Recognition and Prediction in Cloud Computing Systems Yuanyao Liu Zhengping Wu Department of Computer Science and Engineering Department of Computer Science and Engineering University of Bridgeport University of Bridgeport 221 University Avenue, Bridgeport, CT 06604, USA 221 University Avenue, Bridgeport, CT 06604, USA yuaoyaol@bridgeport.edu
Paper ID #30878Towards creating motivationally supportive course structures forintroductory calculusDr. Paran Rebekah Norton, Clemson University Paran Norton is a lecturer in the School of Mathematical and Statistical Sciences at Clemson Univer- sity. She received her B.S. degree in Mathematics from the University of North Georgia in 2013, her M.S. degree in Mathematical Sciences from Clemson University in 2015, and her Ph.D. in Engineering and Science Education from Clemson University in 2020. She has taught introductory mathematics and statistics courses at Clemson University. Her primary research focuses on improving
master’s degrees in Computer Science and Engineering and Technology Management from Portland State University, where he also completed his Ph.D. His doctoral work focused on enhancing file-based dataset management for scientists. Dr. Alawini’s research spans databases, applied machine learning, and educational technology, aiming to improve classroom experiences and develop advanced data management systems. ©American Society for Engineering Education, 2024 Optimizing Database Query Learning: A Generative AI Approach for Semantic Error FeedbackAbstractIn database education research, numerous common error types and overarching
Paper ID #38668Comparing Student Outcomes in Online vs. In-person Sections of anOn-campus Computer Science CourseRishi Sunny GulatiProf. Matthew West, University of Illinois, Urbana-Champaign Matthew West is a Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign.Prof. Craig Zilles, University of Illinois, Urbana-Champaign Craig Zilles is a Professor in the Computer Science department at the University of Illinois at Urbana- Champaign. His research focuses on computer science education and assessment with an emphasis on effective teaching at scale.Prof. Mariana
and Psychology, Training Technology, Instruction Design, Soft Skills, Gender Studies, Student Guidance and Counselling, Mentoring, Emotional Intel- ligence, Neuro-Linguistic Programming, Yoga, Mudras and Healing techniques. She has Coordinated more than 250 short term and overseas programmes. She Coordinated the M.Tech(HRD) programme of the Institute. She has trained more than 300 international teachers and administrators. She is Offering a course on MHRD SWAYAM Platform, covering 19,500 learners in 4 batches. She has Completed 5 doctoral Dissertations in Engineering Education. She has guided M.Tech (HRD), MCA and Overseas Trainees’ Projects. She has published around 30 papers in Journals and presented sev
of “wake-up word”recognition technology. This tool thus has made research process much more efficient, accurate,and productive.IntroductionThe primary objective of presented work was to develop a speech recognition engine - analysisand testing environment in MATLAB. The problem encountered when working with speechrecognition projects is the fact that the processed data comes in the form of a large collection ofvectors (e.g., matrix) that typically represent energies of a speech sounds at various frequencybands [1]. Developed testing utility is extremely useful because it provides visual representationof various complex parameters represented as patters, vectors or scalars extracted from time-dependent speech signal. In addition, there are
obtained by a major university,supplemental instruction (SI) was integrated into one section of College Algebra andTrigonometry at a community college. This course was selected because it was considered agateway course, a course essential to success in engineering and technology at the communitycollege. In the fall of 2009, the SI section of College Algebra and Trigonometry was repeatedwith a different instructor and SI was added to two additional sections of other math courses.The paper will discuss the development of the SI section of College Algebra and Trigonometryand the adjustments to the traditional model of SI made necessary by the unique circumstancesof a community college where most students spend very limited hours on campus because