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- Electrical and Computer Engineering Division (ECE) Poster Session
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- 2023 ASEE Annual Conference & Exposition
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Kenneth A Connor, Rensselaer Polytechnic Institute; Bruk T. Berhane, Florida International University; Mohamed F. Chouikha, Prairie View A&M University; Miguel Velez-Reyes P.E., University of Texas at El Paso; Barry J. Sullivan, Electrical & Computer Engineering Department Heads Assn; Michelle Klein, Electrical and Computer Engineering Dept. Heads Assoc. (ECEDHA); Yeimidy Lagunas, Inclusive Engineering Consortium; Milford Muskett; Amanda Nastiuk; Sinais Alvarado; Elizabeth Hibbler, Conference for Industry and Education Collaboration (CIEC)
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Paper ID #39917Board 84: The 2TO4 Project - Facilitated Transition from 2-Year to4-Year Engineering Studies (WIP)Dr. Kenneth A Connor, Rensselaer Polytechnic Institute Kenneth Connor is an emeritus professor in the Department of Electrical, Computer, and Systems Engi- neering (ECSE) at Rensselaer Polytechnic Institute (RPI) where he taught courses on electromagnetics, electronics and instrumentation, plasma physics, electric power, and general engineering. His research in- volves plasma physics, electromagnetics, photonics, biomedical sensors, engineering education, diversity in the engineering workforce, and technology
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- Broadening Participation through Access, Equity, Inclusion in ECE
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- 2023 ASEE Annual Conference & Exposition
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Praveen Meduri, California State University, Sacramento; Mohammed Eltayeb, California State University, Sacramento; Milica Markovic, California State University, Sacramento
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Paper ID #39802Engineering Gateway Course Redesign for Equity through Critical-PathsDr. Praveen Meduri, California State University, Sacramento Dr. Praveen Meduri is an Assistant Professor of Electrical and Electronic Engineering at Sacramento State University. He is also a Technical Liaison to Cadence Design Systems. He received his PhD from Old Dominion University, VA, M.S. from Southern Illinois University, Carbondale and bachelors from JNT University, India. His research interests include Embedded Systems, Smart Cities, VLSI Design and Engineering Episte- mologies.Mohammed Eltayeb, California State University
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- Curricular Innovations in Computing - 1
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- 2023 ASEE Annual Conference & Exposition
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Yufang Jin, The University of Texas at San Antonio; Robert Applonie, The University of Texas at San Antonio; Paul E. Morton, The University of Texas at San Antonio; Mason Cole Conkel, Electrical and Computer Engineering, Klesse College of Engineering and Integrated Design, University of Texas at San Antonio; Thuy Khanh Nguyen, University of Texas at San Antonio; Chunjiang Qian, The University of Texas at San Antonio
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dog if apicture of a dog is fed into it. With this in mind, AI engineers will work with enormous amountsof data on which they will apply mathematics to develop and implement algorithms byprogramming with computing languages. The results they obtained will be communicated usingvarious graphs, reports, presentations, etc.Industrial-Specific Skills Required for AI professionalsSeveral investigations and surveys have been reported recently on the in-demand requirements tobuild a career in AI [22, 23]. The requirements can be categorized as mathematical background,technical-based domain knowledge, programming skills, and non-technical related soft skills.Because AI professionals develop and apply algorithms and interpret their results based
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- Curricular Innovations for Future-Ready Engineering Talents
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- 2024 ASEE Annual Conference & Exposition
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Shiny Abraham, Seattle University; Mehmet Vurkac, Seattle University; Agnieszka Miguel, Seattle University; Margarita D. Takach, Seattle University; Eddy Ferré, Seattle University; Shruti Singh, Seattle University; Henry Louie, Seattle University
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amount of further technical material we wish we could present to ourstudents. Hence, we acknowledge that to infuse an ambitious array of knowledge and skillsrelated to sustainability and social justice as well as habits of mind like emotional intelligence,critical thinking, universal design, and cultural humility into the curriculum could seem naïve oreven harmful.However, when we consider the evolution of engineering education over the long and the shortterm, we find that what is most critical for educators to impart has always shifted with thedevelopment of technology and its scientific and mathematical toolboxes. In electrical andcomputer engineering, there is much more technical content that was once taught in four-yearprograms, which we
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- Innovative Strategies for Enhancing Engineering Education Across Diverse Learning Environments
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- 2024 ASEE Annual Conference & Exposition
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Lilianny Virgüez, University of Florida; Debarati Basu, Embry-Riddle Aeronautical University; Gloria J. Kim, University of Florida; Sreyoshi Bhaduri, ThatStatsGirl
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14 Other/Non-EngineeringFigure 5. Results of exposure and motivation levels across engineering majors.DiscussionThe findings of the present study are in line with initial expectations, highlighting bothopportunities for improvement in engineering education and the need to foster awareness andunderstanding of semiconductor-related topics among students. The data reveal that while morethan 66% of respondents have heard about semiconductors, only 9.41% have taken at least oneuniversity class on the subject, and 18.82% have participated in activities related tosemiconductors. This result suggests a potential area for curriculum enhancement in engineeringeducation. Keeping in mind that 72% of students taking the class are juniors and senior
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- Curricular Innovations in Computing -2
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- 2023 ASEE Annual Conference & Exposition
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Sarah L. Harris, University of Nevada - Las Vegas; Yingtao Jiang, University of Nevada - Las Vegas; Christine Clark; Ed Jorgensen; Tiberio Garza, Florida International University; Norma A Marrun, University of Nevada - Las Vegas; Valerie L. Taylor
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Paper ID #40100Promoting Success through Building Community for Computer Science andComputer Engineering UndergraduatesProf. Sarah L. Harris, University of Nevada - Las Vegas Dr. Harris is a Professor at the University of Nevada, Las Vegas (UNLV) in the Electrical & Computer Engineering Department. She earned her M.S. and Ph.D. at Stanford University and has worked at Hewlett Packard, Nvidia, and the Technical University of Darmstadt. Before joining the UNLV faculty in 2014, she was a faculty member at Harvey Mudd College for ten years. Her research interests include embedded systems, biomedical engineering, and robotics