. In 2020, Dr. Siewert joined California State University Chico to teach computer science as full-time faculty and he continues in an adjunct professor role at University of Colorado Boulder. Research interests include real-time systems, interactive systems, machine vision and machine learning applied to sensor networks, sensor fusion, and instrumentation. Dr. Siewert is a co-founder of the Embedded Systems Engineering graduate program at the University of Colorado and is a graduate curriculum committee chair at California State Chico. ©American Society for Engineering Education, 2024 Preparing Students to Master Hybrid and Co-Processing Methods for High Performance
energy cost (prosperity). Teachers Jocelyn Sigler and Rahsirearl Smallsparticipated with the Summer 2022 cohort, and teachers Laura Thomason and James Hoveyparticipated with the Summer 2023 cohort. They were guided by faculty mentors Drs. VictoriaChen and Erick Jones, Jr. and received research assistance from several IMSE graduate students. To conduct the research to answer this research question, this paper proposes theadaptation of methods from the Industrial Engineering curriculum towards our proposed researchtraining framework based on design and analysis of computer experiments (DACE [2-3]). Awell-known research approach in science and engineering is the use of statistical design ofexperiments [4]. However, this approach requires
detailed in this paper and are now beginning to experience benefits of the redesign,including a decreased effort delivering the courses.BackgroundThe two classes involved with this redesign are both entry-level computer-based classes, servingapproximately 180 students per year. The titles of these courses are CM130: Computing inConstruction and CENE180: Computer Aided Drafting (CAD). The curriculum in each coursediffers in that the Computer Aided Drafting course is required for all civil and environmentalengineering students and focuses entirely on AutoCAD, Civil3D and Revit, while Computing inConstruction is a required course for students in the Construction Management program thatintroduces students to a variety of software applications used in
Illinois and California, directing research, business develop- ment, operations, quality assurance, sales and marketing. Ann is a licensed acupuncturist, holds an MS in Traditional Chinese Medicine and a BS in Nutrition from the Midwest College of Oriental Medicine. In 2010, Ann co-founded Point of Health Acupuncture and owns Birdhouse Acupuncture, both health and wellness businesses. Ann received her BS in Biology from the University of Illinois at Chicago. c American Society for Engineering Education, 2019 Optimizing the Integration of Computational Thinking into a STEM Curriculum for a Minority Girls’ After-School Program (prek-12, Work-in-Process-Diversity
the integration of CT into existingcurricula, but it is also necessary to increase professional programs to other disciplinary teachers andother computational thinking practices (Lee et al., 2011). According to Webb (Webb et al., 2017), the lackof professional development programs was defined as a major challenge in different countries by theInternational Federation of Information Processing (IFIP). They discussed that: (a) Existing teachers whohave taught a different curriculum may not have sufficient technical knowledge and skills, (b) Theteachers' pedagogical content knowledge (PCK) (Shulman, 1986) has not been developed about the newcurriculum content, and (c) few new Computer Science graduates are coming into teaching. Moreover,since
Paper ID #37349Low-Cost Raspberry Pi Compute Module 3+ Cluster forMosquito Research via Capstone ProjectByul Hur Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2016, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Assistant Professor. He worked as a postdoctoral associate from 2011 to 2016 at the University Florida previously. His
arecontinuously presented with faculty and student populations that lack in diversity creates barriersfor a non-majority student to effectively integrate into the discipline [23]. Computer sciencefaculty influence the maintenance and propitiation of the storyline regarding who belongs incomputer science due to their “membership” status in the professional computing world and theirbelief of what constitutes a computer science professional [22], [24]. These faculty typicallydraw upon their own professional experiences and practices as majority members as arepresentation of “legitimate” work in computer science—including their research, educationalbackground and curriculum. It follows that the faculty intentionally or unintentionally introducenorms and
Paper ID #32388Lovelace’s Program: A Challenging but Achievable Assignment forUndergraduate Students in Engineering and Computer ScienceDr. Erica Haugtvedt, South Dakota School of Mines and Technology Dr. Erica Haugtvedt is an assistant professor of English and Humanities at South Dakota School of Mines & Technology. She received her PhD in British nineteenth-century literature from Ohio State University in 2015.Dr. Duane L. Abata, South Dakota School of Mines and Technology Dr. Abata has worked in academia for over forty years at universities and with the Federal government around the country. He began his career at the
pretest and posttestresults show there is a significant improvement in students’ spatial cognition when the proposedtool is used to assist the course.Introduction The development of technology has led to the high demand in engineering design careersthat undergo required training involved with innovative technology. Computer-Aided Design(CAD) have become an essential tool for engineers and other STEM-related fields, which requiresan adequate spatial cognition skill (Sorby et al. 2013). Strong spatial skills are necessary to notonly complete the engineering course but also to succeed in professional practice after finishingthe curriculum (Hsi et al., 1997). Improving students’ interpretation, analysis, and visualization ofmodels, as well as
Paper ID #32051Incorporating Computer Aided Design and Three-Dimensional Printing in aFirst Year Engineering Design CourseMr. James Lenn, Wayne State University James Lenn has been at Wayne State University since 2013, first as part time faculty and more recently as a Lecturer. He teaches a freshman design course and several electrical engineering courses. Prior to taking a position at WSU, he had worked in industry as an engineer and engineering manager for roughly 30 years.Dr. Fatmir Menkulasi P.E., Wayne State UniversityProf. Marcis Jansons P.E., Wayne State University Marcis Jansons, Ph.D., P.E. Marcis Jansons has been
Applying Scrum Project Management Methods in Biomedical and Electrical and Computer Engineering Capstone Design Courses David Lee1 , Carl Wick1 , and Hernan Figueroa2 1 Biomedical Engineering, George Washington University 2 Electrical and Computer Engineering, George Washington University Mar. 15, 2018AbstractThe Biomedical engineering and Electrical and Computer Engineering Departments at GeorgeWashington University have traditionally used a waterfall project management methodologyfor their two and three semester capstone design courses. We noticed that this approach re-sulted in incomplete senior design projects
important role in procurement, adaption and configuration of cloudcomputing technologies for any size business. Adding cloud computing technologies asa networking curriculum innovation would not only enhance already crowded networkingcurricula, it also has potential to attract and retain quality students. Page 14.599.8Bibliography:1. A Walk in the Clouds. http://i.cmpnet.com/custom/iwkacloudcomputing/docs/InformationWeek-Analytics-Cloud- Computing.pdf Last Accessed on: February 6, 20092. Cloud computing may draw government action http://www.infoworld.com/article/08/09/12/Cloud_computing_may_draw_government_action_1.html Last Accessed on: February 6, 20093. The dangers of Cloud Computing
2006-275: ON THE USE OF A SOFT PROCESSOR CORE IN COMPUTERENGINEERING EDUCATIONSin Ming Loo, Boise State University Page 11.972.1© American Society for Engineering Education, 2006 On the Use of a Soft Processor Core in Computer Engineering Education AbstractThe microprocessor course at most universities has traditionally been taught using a discretemicroprocessor such as the Motorola 6800 series, Intel x86 series, or IBM PowerPC series. With thecontinued increase of usable field-programmable gate arrays (FPGA) gates and improvement of off-the-shelf soft processor core computer-aided design (CAD) tools, this practice is beginning to
2006-909: TEAMING ACTIVITIES IN A FRESHMAN ENGINEERING ANDCOMPUTER SCIENCE COURSE AIMED TOWARDS RECRUITMENT ANDRETENTIONBlair Rowley, Wright State University BLAIR A. ROWLEY is a Professor of Biomedical, Industrial, and Human Factors Engineering and Director of the Freshman Engineering and Computer Science Program. He holds the Ph.D. from the University of Missouri, Columbia and is a PE. He has been in academia since 1970. Among his many activities he served as Chair of the ASEE/BMD 1987-1988 and is a reviewer for NSF. His research focus is on rehabilitation engineering and teaching.Kumar Yelamarthi, Wright State University KUMAR YELAMARTHI is a Ph.D. student and holds an MSEE from Wright State
optics, microfluidics and devices that interface to the biological world. Dr. Dickerson is also interested in enhancing undergraduate engineering education, and investigates new and innovative methods for improving the learning experience for electrical and computer engineering students.Dr. Renee M Clark, University of Pittsburgh Renee Clark is Research Assistant Professor of Industrial Engineering and Director of Assessment for the Engineering Education Research Center (EERC) in the Swanson School of Engineering, University of Pittsburgh. She conducts research on education projects that focus on active learning and engineering professional development. Current research includes the propagation of active learning
Paper ID #27278Computational Instruction through PLCs in a Multi-Disciplinary Introduc-tion to Engineering CourseMr. Nicholas Hawkins, University of Louisville Nicholas Hawkins is a Graduate Teaching Assistance in the Engineering Fundamentals Department at the University of Louisville. A PhD student in Electrical and Computer Engineering, he received both his B.S. and M. Eng. from the University of Louisville in the same field. His research interests include power electronics and controls, as well as engineering education for first-year students.Dr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an
Paper ID #24654How Cultural Messages Through Experiences Influence Occupational Pur-suit of Muslim Female Computer Science StudentsMrs. Maral Kargarmoakhar, Florida International University Maral Kargarmoakhar was born and raised in Tehran, Iran. She got her bachelors degree in computer en- gineering from Tehran University. She pursued her master’s degree from Florida International University (FIU) in computer science. Currently, she is working on her Ph.D. program at FIU.Dr. Monique S. Ross, Florida International University Monique Ross, Assistant Professor in the School of Computing and Information Science and STEM
Industrial Electronics, 2008.[2] N. Papanikolopoulos, “Integrating computer vision and control for vision-assisted robotic tasks,” American Control Conference, 1995.[3] K. Sage, and S. Young, “Security applications of computer vision,” IEEE Aerospace and Electronic Systems Magazine, vol.14, no.4, 1999.[4] G. Bebis, D. Egberg, and M. Shah. “Review of computer vision education,” IEEE Transaction on Education, vol. 46, no. 1, 2003.[5] R. Broussard and J. Piepmeier, “Undergraduate computer vision curriculum to complement a robotics program,” ASEE Annual Conference, 2004.[6] J. Macedo, K. Colvin, and D. Waldorf, “Machine Vision Course for Manufacturing Engineering Undergraduate Students”, Journal of
an Associate Professor and Chairperson of the Computer Systems Technology Department at New York City College of Technology, CUNY. She received her Ph.D. in Mathematics. Her focus are working with faculty constantly to keep curriculum updated to respond to the growth of computer technol- ogy; researching in project-based learning with digital generation; and promoting the retention of female students. Her research interests include artificial neural networks and applications in system identifica- tion and forecasting. She has worked on projects that have applied neural networks in highway rainfall drainage problems, the estimation of crude oil saturation and non-invasive glucose sensing problems
Paper ID #18768IR Sensing Integrated with a Single Board Computer for Development andDemonstration of Autonomous Vehicle FollowingDr. H. Bryan Riley, Ohio University Dr. H. Bryan Riley, who joined Ohio University in 2010, has taught courses in signal processing, electrical communication systems, EE capstone design, electric machines, adaptive signal processing, and hybrid and electric vehicles. Riley, who spent his early career in the automotive industry, has managed multi- disciplined and global engineering teams responsible for introducing advanced electronic features on production passenger vehicles such as
). “An overview of computational thinking,” International Journal of Computer Science Education in Schools, 3 (1) 1-11.[3] V. Shute, C. Sun, & J. Asbell-Clarke (2017). “Demystifying computational thinking’” Educational Research Review, 22, 142-158.[4] M. Berland & U. Wilensky (2015). “Comparing virtual and physical robotics environments for supporting complex systems and computational thinking,” Journal of Science Education and Technology 24(5), 628-647.[5] M. Bers, L. Flannery, E. Kazakoff, & A. Sullivan, (2014). “Computational thinking and tinkering: Exploration of an early childhood robotics curriculum,” Computers & Education 72, 145–157.[6] B. Zhone, Q. Wang, J. Chen, & Y. Li (2016). “An exploration of
reductionand allowing small and medium-sized manufacturers to take advantage of its power.Considering the promising use of computer simulation and virtual reality, we incorporate thesetools into Industrial Systems Simulation course curriculum. This course was offered in Fall 2019semester from the Industrial, Manufacturing and System Engineering (IMSE) department at theUniversity of Texas at El Paso. The course was offered for graduate program where 12 studentswere enrolled. We used the SIMIO software for computer simulation and unity platform todemonstrate the application of virtual reality. Different hand-on activities were included into thecoursework and later tested with simulation modelling. A project has been accomplished using thevirtual reality
Computer Managed Learning and Assessment Integrated Within a Materials Engineering Program for Non-Majors Aaron S Blicblau Swinburne University of Technology, Hawthorn, AustraliaAbstractThis paper reports on an on-line learning initiative in Engineering Materials for first yearstudents in diverse disciplines of engineering. This initiative was developed for general firstyear engineering students to incorporate an on-line assessment system for the major aspects oflearning and teaching: lectures, tutorials and laboratory work. This teaching approachrequired the availability of a data delivery system (using a proprietary brand of software), forprovision of pedagogical
Session 2425 Capstone Design in Electrical and Computer Engineering Delivery and Assessment of ABET Criterion 3 James A. Reising University of EvansvilleIntroductionSeveral changes have been made to the Senior Design Project Course Sequence at the Universityof Evansville as previously described in “Senior Design Project Course Sequence, Electrical andComputer Engineering”1 to provide students with additional exposure to the non-technicalaspects of engineering and to enable assessment of the outcomes of ABET Criterion 32, listedbelow for
Virginia Tech have entered as generalengineering students, transferring to degree-granting departments after completing a prescribedset of courses. Beginning in 1984, entering engineering freshmen were required to purchasepersonal computers and selected software, which have been used as an integral part of freshmancourses and in appropriate courses throughout the curriculum. A side effect of this requirementwas that the College no longer maintains computer labs for undergraduates, since they owncomputers of sufficient capability for all of their course work. As the years passed, and thecapabilities of personal computers increased, so did the minimum hardware requirement. Onesignificant change was in 1994 when students were required to purchase
could provide specifications tostudents in a course that could be used to adjust a study schedule on an individual basis.The computer basics course will be under review for possible inclusion in the Ira A. FultonSchool of Engineering curriculum. Those technologies that were used in previous courseofferings need to be re-evaluated and if necessary then purchased for the course. Introducingseveral different types of autonomous robots would provide an opportunity for the students to getmore experience with these devices in preparation for the Introduction to Engineering course. Page 9.592.6 Proceedings of the 2004 American Society for
distance learning courses.Additionally, the self taught and imbedded grading is helpful in testing proficiency fordifferent constituencies. One constituency is graduate engineers who are the “product” ofan engineering curriculum. Knowing what graduate engineers know is helpful in settingthe goals / competencies for Engineering Economics.Bibliography1) Merino, D.N. (June 16, 1989).“Effectiveness of Computer Based Problem Solving in Teaching Engineering Economics”, ASEEConference Proceedings, American Society of Engineering Education (ASEE), Session 1639, pg. 293-295;refereed paper.2) McNaught, Carmel; Grant, Heather; Fritze, Paul; Barton, Janet; McTigue, Peter; Prosser, Robert (1995,November).“The Effectiveness of Computer-Assisted Learning in
Session 2359 Problem Based Learning of Data Acquisition and Computer-Based Control Applications in MET Courses Jan T. Lugowski, Steven E. Widmer Purdue University1. IntroductionThis paper discusses how problem-based learning and computer-based applications can be usedto enhance the students’ learning experience in two 300-level courses in controls,instrumentation, and fluid power. MET 382 Controls and Instrumentation for Automation is athree credit hour course with a two-hour laboratory. Half of the time is allocated for dataacquisition, and half for control
AC 2012-5290: THE USE OF COMPUTER-BASED TEAM ASSIGNMENTSAS AN EFFECTIVE TOOL IN TEACHING MECHANICSDr. Robert E. Efimba P.E., Howard University Robert E. Efimba, Sc.D., P.E., is an Associate Professor in the Department of Civil and Environmental Engineering at Howard University in Washington, D.C.. He received his four degrees in civil engineering and structural mechanics from MIT, and is a registered Professional Engineer in Virginia, Maryland, and D.C. He is listed in Who’s Who in Engineering, and is the 2010 National Outstanding Advisor named by Tau Beta Pi, the Engineering Honor Society, and is serving as a Governor of ASCE’s Region 2 for 2011-2014. He is a recipient of ASCE’s Moisseiff Award for best paper in
Session 1795 SOME COMPUTER-BASED LEARNING TOOLS FORUNDERGRADUATE ENGINEERING AND TECHNOLOGY EDUCATION PROGRAMS: DEVELOPMENT, USES, AND EXPERIENCE Howard A. Smolleck Bhargava Ram Jayanti Klipsch School of Electrical and Computer Engineering New Mexico State UniversityAbstractFor several years, the first author has directed a program involving the development ofgraphical, interactive software for use by students in Engineering and Technology programs.The pilot project, sponsored primarily by two foundations, was oriented toward two-year,community-college institutions as well as four