Intelligent Systems, 2022).Figure 2. Unsupervised Machine learning, Gene analysis 2. Dimensionality Reduction: Dimensionality Reduction is under unsupervised Machine LearningII. Supervised machine learning algorithms: This is the most commonly used machinelearning algorithm. Supervised learning algorithms are trained with labeled data.Mainly supervised leaning problems can be divided into the following two kinds of problems:1. Classification: A problem is called classification problem when we have the categorizedoutput such as “black”, “teaching”, “non-teaching”, etc.Suppose that you have a dataset containing the following:Tumor size, age, Malignant. The Malignant field is a label indicating if a tumor is cancerous.When you visualize or
Paper ID #37045Work-in-Progress: Bridging the Gap Between MATLAB andPython via ROS to Build Skills in an IntroductoryProgramming CourseJoshua Fagan Joshua Fagan received a BS in computer science and mathematics from The University of Richmond and a MS in computer science from The University of Tennessee, Knoxville (UTK). He is in his final year of a PhD in computer science at UTK, and will be starting a Lecturer position at UTK in Fall 2022. Joshua is interested in developing and teaching solutions involving robotics, machine learning, and data science.Amy Biegalski Amy Biegalski is a graduate of The Ohio State
should not require additional lab facilities, 8). Create a workload that is consistent with the credit that is assigned to the class and support the engineering graphics content of the course, and 9). Depth of training required for instructors and teaching assistants on key issues.The first five factors can be categorized as content issues while the remaining four factors fallunder administrative issues. Some factors, such as 6 and 7, are related to both content andadministrative issues. As an example, factor 7 includes issues dealing with additional facilities,such as machine shops and separate laboratory classes. This point is crucial here at Texas A&MUniversity since there are around 1,200 freshmen and it is almost
increased interest in other majors. • Poor teaching by engineering faculty. • Overwhelming pace and load of engineering programs. • Discouraging engineering grading systems. Mentoring ScenariosOriginally, Mentor was a friend of Odysseus, entrusted with the education of Odysseus’son Telemachus. Today, a mentor is considered as a trusted counselor or guide6. Mentorscan be divided in to many categories: well trained individual teaching less trained Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A & M University-Corpus Christi Copyright © 2005 American Society for Engineering Educationindividuals; well trained
should not require additional lab facilities, 8). Create a workload that is consistent with the credit that is assigned to the class and support the engineering graphics content of the course, and 9). Depth of training required for instructors and teaching assistants on key issues.The first five factors can be categorized as content issues while the remaining four factors fallunder administrative issues. Some factors, such as 6 and 7, are related to both content andadministrative issues. As an example, factor 7 includes issues dealing with additional facilities,such as machine shops and separate laboratory classes. This point is crucial here at Texas A&MUniversity since there are around 1,200 freshmen and it is almost
Graduate Teaching Assistant and a Graduate Research Assistant.Dr. Tremayne O’Brian Waller, Virginia Polytechnic Institute and State University Dr. Tremayne O. Waller (Ph.D., Virginia Tech) is the Director of Graduate Student Programs at Virginia Tech in the Center for the Enhancement of Engineering Diversity (CEED). Dr. Waller is responsible for developing and implementing evidence-based strategic priorities for recruiting and retention of underrep- resented students in College of Engineering graduate programs. He is working with faculty, staff and students to implement a strategic plan for graduate student success. Dr. Waller was the Interim Director for the Office of Academic Diversity Initiatives (OADI) and Director
engineering education. He previously taught at Bucknell University and Arizona State University. He also teaches NHI training courses on seismic design of foundations and geotechnical features of highway systems for the Federal Highway Administration.Craig M. Shillaber Craig M. Shillaber is an associate teaching professor in the Department of Civil and Environmental Engineering at Northeastern University. He earned a Ph.D. in civil engineering from Virginia Tech in 2016, an M.S. in civil engineering from Virginia Tech in 2009, and a B.S. in civil engineering from the University of New Hampshire in 2008. His research interests include teaching and learning in geotechnical engineering, sustainability education in civil
: Entrepreneurship education in engineering. © American Society for Engineering Education, 2022 Powered by www.slayte.com The Characteristics of Engineering Learning in Communities of Practice: An Exploratory Multi-case StudyAbstract: The Emerging Engineering Education (3E) transformation has been implemented in China tomeet the society’s needs of high-quality talents in science, technology, engineering and mathematics(STEM) fields. The transformation has stimulated some new forms of engineering learning which wereorganized in communities of practice such as engineering studio, engineering laboratory in someuniversities. However, little is known about
Indiana as a Clinical Assistant Professor of Engineering Technology. He holds three patents, has served as an IEEE section officer since 2004, and has been a Licensed Professional Engineer in the State of Indiana since 2005. © American Society for Engineering Education, 2022 Powered by www.slayte.com A Tool Suite for Automation LabsAbstractProgrammable Logic Controllers (PLCs) and Human Machine Interfaces (HMIs) are used toautomate industrial equipment and processes. They are frequently used in laboratory activities inan automation course that is part of an engineering or engineering technology curriculum.Sensors and actuators to simulate
engineering problem-solving. His group's current research interests include machine-learning enhanced numerical modeling of composite materials, reinforcement learning and linear temporal logics for robotics and control, AI-powered design of distributed reservoir systems to mitigate the flood, intelligent traffic light, and quantum computing.James Buchholz (Associate Professor) James Buchholz is an Associate Professor of Mechanical Engineering at the University of Iowa. He received the Bachelors and Masters degrees in Mechanical Engineering from the University of Alberta, and the Ph.D. degree in Mechanical and Aerospace Engineering from Princeton University. He teaches courses in fluid mechanics and conducts research in
Session T4A3 Challenge-Based Instruction in an Engineering Technical Elective Course Ronald Barr1, Marcus Pandy2, Anthony Petrosino3, and Vanessa Svihla3 Department of Mechanical Engineering1, Department of Biomedical Engineering2, and Department of Curriculum and Instruction3 The University of Texas at Austin AbstractThis paper presents the methodology and results of teaching an engineering technical electivecourse using a challenge-based approach. The challenges consisted of eight
, the Industry Advisorwas on campus one day a week. During the pandemic, the Industry Advisor remained available,albeit online. The Industry Advisor is transitioning to be back on campus regularly this yearwhile continuing to hold online meetings with students and faculty.d. Remote teaching and learning. The pandemic gave faculty an opportunity to change how wedesign and deliver our courses. To promote inclusive practice, faculty utilized recorded lectures,online collaboration tools and instant messaging apps to provide multiple ways ofcommunication for students. To continue the emphasis of “doing engineering,” faculty alsoimplemented remote laboratories that utilized tools accessible to students. More details onchanges made to accommodate
Paper ID #36647Fostering the Deliberate Development of Creative EngineersJakob C Bruhl (Civil Engineering Academy Professor)James Ledlie Klosky (Professor of Civil Engineering) Led Klosky is a Professor of Civil Engineering and long-time member of the faculty at West Point. A Professional Engineer, Led serves as the Dean's Executive Agent for Design and Construction and is interested in the design of collaborative learning spaces, infrastructure engineering and education, and subsurface engineering. Dr. Klosky is a past winner of the National Outstanding Teaching Medal from ASEE.Andrea E Surovek (Research Scientist
products at INTEVEP Petroleos de Venezuela (1983-1998). He is a founding member of Universidad Monteavila (Caracas, Venezuela) (1998—2018) and became the Chancellor (2005-2015), and the President of the Center for Higher Studies (2015-2018). After rejoining the University of Pittsburgh, he is teaching Pillar courses on Reactive Process Engineering, Process Control, and Process Design. In addition to technical courses, his service extends over engineering education, curriculum development, outreach programs, global awareness, sustainability, and diversity, equity and inclusion. © American Society for Engineering Education, 2022 Powered by
enormousdisruptions to global education systems, affecting nearly 1.6 billion learners in more than 190countries [9]. Students pursuing careers in disciplines like science and engineering, where in-person laboratory experiences are valuable to their preparedness for jobs in the industry, havebeen impacted severely by the disruption of COVID-19 [10], [11].Following the unprecedented disruptions caused by the pandemic, governments of manycountries took several extraordinary measures, including the closure of schools, publicgatherings, large and small businesses, social distancing, and campaigns to build healthawareness, in order to prevent the spread of the COVID-19 pandemic [4], [6], [7], [9].Moreover, as in-person learning ended for many schools, many
methodologies and techniques to assist manufacturers design and plan operations on advanced machining lines that could be rapidly reconfigured to meet changes to a product’s design or production volume. In 2003 he joined the faculty of the Mechanical Engineering Department at the University of British Columbia as junior chair of the NSERC-sponsored research program in Virtual Machining. His work at this time focused on the modeling of cutter/workpiece engagement geometry to support process modeling for aerospace machining applications. In 2007 he joined the faculty of the Engineering and Design Department at Western Washington University where he is currently a professor in the Manufacturing Engineering program. His teaching and
structures create inequitable environments for minoritized students.Dr. Russ Meier, Milwaukee School of Engineering Dr. Russ Meier teaches computer architecture at Milwaukee School of Engineering. His funded research explores how first year students develop computational thinking. He received the Iowa State University Teaching Excellence Award, the Iowa State University Warren B. Boast Award for Undergraduate Teach- ing Excellence, and the MSOE Oscar Werwath Distinguished Teacher Award. He belongs to IEEE and its HKN, Computer and Education Societies, as well as the American Society for Engineering Education and its Electrical and Computer Engineering, Educational Research and Methods, and First Year Programs divisions
as avirtual four-week research camp. For Summer 2021, megaGEMS hosted the inaugural eight-week in-person Apprenticeship Research Camp from June 7-August 6, 2021, for eight risingjuniors or seniors. This Apprenticeship Research Camp was held at the Autonomous VehicleSystems (AVS) Research Laboratories located at the University of the Incarnate Word providedthe students with an experiential research camp mentored by both faculty and graduate studentsin the science of autonomy. The camp was funded through two grants provided by the ArmyEducation Outreach Program.Examples of projects included brain-computer interfacing, virtual reality, and Infrared andLIDAR sensor collection. One apprentice was able to obtain her FAA Part 107 UAS
the Utility of Tomorrow competition, outperforming fifty-five international teams to bring home one of only five prizes. Additionally, he has developed and taught fourteen different courses, many of which were in the areas of energy, sustainability, thermodynamics, dynamics and heat transfer. He has always made an effort to incorporate experiential learning into the classroom through the use of demonstrations, guest speakers, student projects and site visits. Dr. Kerzmann is a firm believer that all students learn in their own unique way. In an effort to reach all students, he has consistently deployed a host of teaching strategies into his classes, including videos, example problems, quizzes, hands-on laboratories
Work in Progress paper will describe patterns across race/ethnicity of first-year engineeringstudent retention before and after the spring 2020 emergency transition to remote learning in thewake of the COVID-19 pandemic at a large public R1 university in the Southwest. The results ofthis study are expected to inform faculty and administration as they consider making policychanges in teaching and learning to improve the persistence of engineering students.IntroductionPersistence in Engineering Among Historically Underrepresented StudentsEngineering programs have some of the highest attrition rates among all degree majors, anddespite efforts to improve engineering student retention, graduation rates have remained ataround 50% over the past
, and data structures. He previously taught at Quincy University in Illinois. He received his education at Meerut University, Florida Tech, and SUNY Buffalo. © American Society for Engineering Education, 2022 Powered by www.slayte.com Introducing Deep Learning on Edge Devices Using A Line Follower RobotAbstractAn educators' job is to prepare students to work with the latest technology. In the last decade, therehas been an increase in the use of deep learning in many applications including self-driving carsand virtual assistants. This paper discusses the teaching of the fundamentals of deep learning in anundergraduate microcontroller which used the TI – RSLK MAX robot
ImpedanceConcepts h) Phasor Analysis and Power of AC circuits. Most instructors divide the topics into twomain groups; DC circuit analysis and AC circuit analysis, as the analysis methods covered in DCanalysis are typically the same methods covered in AC analysis. Also, the tools available to thestudents at the Laboratories, or available for the students to download and install into their owncomputers, are Multisim and MATLAB, and on some occasion projects (“Mini Labs”) are assignedwhere the students need to build circuits and take measurements using the Analog Discoveryinstrument form Diligent, to measure the natural response of RC circuits, for example.The electric circuits course has been deemed one of the courses that cause a high attrition rate atmany
, conducted in a laboratory setting. In all of his research, the goal is two-fold: (1) exploring fundamental cognitive processes related to learning to add to our theoretical understanding, and (2), where appropriate, applying this knowledge to improve education. An assumption underlying his research approach is that current educational issues provide investigators with some of the most compelling research topics and that rigorous empirical work aids us in making the education process more successful. He has collaborated actively with researchers in STEM disciplines outside of psychology (engineering and chemistry). Dr. Therriault currently serves as a Board Member on UF’s IRB.Elliot P. Douglas (Professor) Dr. Elliot P
the curriculum [1, 2]. In addition, studies have shown that PjBL hasimproved students’ retention of prior and current course material [3-5]. Outside of theimprovements in future engineering courses, the use of PjBL has shown to better preparestudents for the workforce and the challenges they may face. However, one concern ofimplementation of PjBL is that it may overwhelm a student especially when conducted in lowerlevel courses. In some cases, schools of higher education may choose to teach lower levelcourses following the conventional lecture format and allow students to participate incompetition teams as an extra-curricular activity.Numerous engineering programs across the world participate in competition programs, such asBaja SAE (Society
Nutrient testing in soil and plants, Soil Science and Environmental Fall fertilization, acidity Soil nutrients Fertility Horticulture and liming, organic matter*The engineering program at [college] teaches over three semesters, although faculty only teach in two of them. Some non-engineeringcourses are also offered during the summer as general education electives
increasehome safety.So far, the projects on the platform are not integrated into any established curriculum. The pilottest showed students may be able to complete a relatively complicated task with ROSbackground. The pilot test also showed that a well-designed laboratory series is needed to boostthe success rate of students. Thus, with further training, students can use the platform forindependent projects (senior design, master’s project, etc.). Using this platform with improvedtraining and exercising session, students will gain hands-on experience in implementing allcomponents of robot autonomous navigation and overcoming the steep learning curve of ROS.Bibliography[1] M. J. Mataric, "Robotics education for all ages," in Proc. AAAI Spring Symposium
education after helping develop and teach an online only laboratory class. She currently works as a research associate under Dr. Karin Jensen with a focus on engineering student mental health, retention, and development of resources.Joseph Mirabelli Joseph Mirabelli is an Educational Psychology graduate student at the University of Illinois Urbana-Champaign with a focus in Engineering Education. His work focuses on mentorship, mental health, and retention for STEM students and faculty. He was awarded the 2020 NAGAP Gold Award for Graduate Education Research to study engineering faculty perceptions of graduate student well-being and attrition. Before studying education at UIUC, Joseph earned an MS degree in Physics from
the universities he joined. He is the recipient of the ”Distinguished Professor of the Year”, University of Bridgeport, academic year 2006-2007. He supervised hundreds of senior projects, MS theses and Ph.D. dissertations. He developed and introduced many new undergraduate/graduate courses. He also developed new teaching / research laboratories in his area of expertise. His students have won more than twenty prestigious national / international awards from IEEE, ACM, and ASEE. Dr. Elleithy is a member of the technical program committees of many international conferences as recog- nition of his research qualifications. He served as a guest editor for several international journals. He was the chairperson of the
, and M. H. Ibrahim, “Theclassroom physical environment and its relation to teaching and learning comfortlevel,” International Journal of Social Science and Humanity, vol. 5, no. 3, pp. 237-240, 2015.[21] H. H. Choi, J. J. Van Merriënboer, and F. Paas, “Effects of the physical environment oncognitive load and learning: Towards a new model of cognitive load,” Educational PsychologyReview, vol. 26, no. 2, pp. 225-244, 2014.[22] S. Cohen, G. W. Evans, D. S. Krantz, and D. Stokols, “Physiological, motivational, andcognitive effects of aircraft noise on children: moving from the laboratory to thefield,” American Psychologist, vol. 35, no. 3, pp. 231-243, 1980.[23] M. Carter, “Making Your Environment ‘The Third Teacher’,” Exchange: The EarlyChildhood
(RBASOE) was founded with these goals in mind to notonly train future engineering leaders who are technically competent, but who are also equippedto adapt to and solve future complex engineering problems that our nation and world will face.The school is accomplishing her mission through the RBASOE Engineering DesignSpine [3-5].Apart from teaching and exposing the students to traditional and fundamental engineeringeducation unique to each engineering discipline, the DesignSpine involves a three-throngedstrategy that breaks down the barriers among engineering disciplines while exposing the studentsto real life open-ended problems from industry and other external stakeholders. The DesignSpinehas three key components [3]: ● DesignSpine SPREL that