Electrical Engineering: The UDC Edge
Located in the heart of the nation’s capitol, the University of the District of Columbia is an affordable and high quality educational option, offering one of the few and longest-standing ABET accredited electrical engineering bachelor programs in the capital region. With this seal of approval, students are guaranteed to enjoy a modern learning experience driven by specific learning outcomes and focused around professionally-driven skills and competencies.
Bachelor’s Degree (BS) in Electrical Engineering
We use computers, smart phones, MP3 players, and other high-tech electronic devices every day. Are you curious how this technology actually works? Do you want to be at the forefront of our technology-driven workforce? Can you see yourself designing the inner workings of the next generation of life-changing electronic or computing devices?
The bachelor’s degree program in electrical engineering at the University of the District of Columbia gives you the knowledge and tools to succeed in the high-demand, high-paying professional fields of electronics, computing, and technical consulting. From small class sizes to ample research opportunities, we are committed to creating a learning environment where you can succeed and to equipping you with both the vision and skills to make an impact.
The program is accredited by the Engineering Accrediting Commission of ABET (http://www.abet.org)
- School of Engineering and Applied Sciences
- Department of Electrical and Computer Engineering
- Science, Technology, Engineering and Mathematics (STEM) Center for Research and Development
- Learn more about applying for admission to the electrical engineering program
- Find out about scholarship opportunities for electrical engineering students
Curriculum and Requirements in the UDC Electrical Engineering Program
The electrical engineering bachelor’s program at UDC has two tracks, each of which requires a 128 credit hour plan of study. Student can choose the standard electrical engineering track or the option of specializing in computer engineering, which consists of a focus in advanced digital system design courses, introducing such topics as VHDL and VLSI.
The electrical engineering program is a dynamic and growing community of students and scholars active in most of the principal areas of our field. Faculty teach courses and engage in research, often in partnership with students, in a number of cutting-edge areas including:
- Embedded systems
- Renewable energy
- Digital communications
- Medical image processing
- Computational intelligence.
The electrical engineering bachelor’s degree curriculum prepares students for the Fundamentals in Engineering (FE) national examination.
The mission of the Electrical and Computer Engineering Department is reflective to both the missions of the University of the District of Columbia and the mission of the School of Engineering and Applied Sciences. The EE Department is striving to provide educational opportunities that will prepare the students for effective and productive careers in the Electrical Engineering profession, for graduate-level studies, and for lifelong learning.
Student Organizations and Activities in the UDC Electrical Engineering Program
The STEM Center for Research and Development is a valuable resource for electrical engineering students, offering courses and enrichment activities designed to boost academic and professional competency, provide research opportunities, and increase student retention and graduation rates.
Electrical engineering students at UDC also participate in a number of formal student organizations and associations, including:
- National Society of Black Engineers
- Institute of Electrical & Electronics Engineering
- Computer Science Club
- More student organizations in the School of Engineering
Faculty Spotlight: UDC Electrical Engineering Program
Dr. Esther T. Ososanya is a professor of Electrical and Computer Engineering at the University of the District of Columbia, and the current department chairperson. During her career, Dr. Ososanya has worked for private industry as a circuit development engineer and as a software engineer, in addition to her academic activities. She received her education in the United Kingdom, where she achieved her Ph.D. in Electrical Engineering from the University of Bradford in 1985, and a Post Doctoral Research Fellow from the University of Birmingham, UK. She was a Visiting Professor at Michigan Technological University for five years, and an Associate professor at Tennessee Technological University for 7 years prior to arriving at the University of the District of Columbia in the Fall of 2001. Dr. Ososanya research interests include new applications for VLSI ASIC design, Microcomputer Architecture, Embedded Systems design, Nanotechnology, and Renewable Energy Systems. In recent years, she has worked with colleagues to apply these technologies to Biomass research, Solar Cells efficiency capture research, and Renewable Energy Curriculum developments.
Dr. Paul Cotae, Professor of Electrical and Computer Engineering is the Director of SEAS Research Center. His research is in Digital Communication, Information theory, Statistics and Applied Mathematics and Cybersecurity: Anomaly detection, Detection of Low Rate Denial of Service Attacks, Intrusion Detection, Information Visualization. He published more than 140 conference and journal papers, authored 2 books and coauthored 3 books in the area of digital communications systems. During the AY 2014-2015 he spent his sabbatical at the Center for High Assurance Computer Systems Code 5540, Naval Research Laboratory, Washington DC, 20375. Since 2009 he has been selected every summer as ONR Senior Research Fellows for the ASEE Summer Faculty Research Program at NRL. His research is sponsored by NSF, ONR, AFOSR and USAF. He received in last five years more than $1M for his research from DOD as a sole PI for the following grants: –Army Research Office (ARO) –Award No. W911NF-15-1-0481: “Performance Data-Driven Methods and Tools for Computer Network Defense through Network Science”, Period: August 21, 2015- August 21, 2019 ($594,755.00) and Office of Naval Research – Award no. W911NF-11-1-0144 “Information-Driven Blind Doppler Shift Estimation and Compensations Methods for Underwater Wireless Sensor Networks”, Period: April 6, 2011- April 14, 2015 ($424,631.00). He is providing full support for students in MSEE program doing research in the above areas.
Wagdy H. Mahmoud is an Associate Professor of Electrical Engineering at the Electrical and Computer Engineering Department at UDC. Dr. Mahmoud is the Director of the Master of Science in Electrical Engineering (MSEE) and the Chair of the University of Columbia Graduate Council. Dr. Mahmoud is actively involved in research in the areas of Reconfigurable Computing, Application-Specific Integrated Circuits (ASIC), Advanced Digital Logic Design, Digital Image Processing, Digital Signal Processing, Computer Architecture, Embedded Processing Systems, and Hardware/Software Co-Design of system on a chip using reconfigurable logic.
Dr. Sasan Haghani received his B.S. degree (with honor) in Electrical Engineering from Isfahan University of Technology, Iran, and M.S. and Ph.D. degrees in Electrical Engineering from the University of Alberta, Canada. Dr. Haghani is an Associate Professor in the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington, DC. Dr. Haghani’s expertise are in the areas of wireless sensor networks with applications in environmental and healthcare monitoring and smart grid. His research has been funded by the National Science Foundation, Department of Education and the Xerox Corporation. Dr. Haghani is a UDC Myrtilla Miner Faculty Fellow and has been the recipient of a number of awards from the School of Engineering and Applied Sciences at UDC.
Dr. Nian Zhang received her B.S. degree (with honor) in Electrical Engineering from Wuhan University of Technology, M.S. degree in Electrical Engineering from Huazhong University of Science and Technology, and Ph.D. degree in Computer Engineering from Missouri University of Science and Technology. She is an Associate Professor of the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington D.C. Dr. Zhang’s research expertise and interests include computational intelligence, machine learning, big data mining, supervised and unsupervised learning, and various application fields including big data science, time series prediction, biomedical engineering, and autonomous robot navigation. Her research has been funded by National Science Foundation (NSF), Office of Naval Research (ONR), NASA, US Geological Survey (USGS), Xerox Corporation, and Bush Foundation. Dr. Zhang is an ONR Summer Faculty Research Fellow, Myrtilla Miner Faculty Fellow, and IEEE Senior Member. She is an Associate editor of the IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and Guest Editor of Computational Intelligence and Neuroscience Journal and International Journal of Systems, Control and Communications. She is the General Chair of 2018 ASEE Mid-Atlantic Conference, Washington, D.C. and was the General Chair of IEEE Computational Intelligence Society (CIS) Winter School, Washington, D.C., February 19-21, 2016. Dr. Zhang was a recipient of the Best Paper Award in the 2003 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Dr. Hongmei Dang is an Assistant Professor of Professor of the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington D.C since August 2016. She received her Ph.D. degree in Department of Electrical and Computer Engineering from University of Kentucky in 2015 and was a postdoctoral scholar at University of Kentucky from 2015-2016. Dr. Dang’s research expertise and interests are nanoscale solid state electronics, including but not limited to solar cells, MEMS sensor networks, two dimensional material devices and sensors, medical devices, power electronics devices as well as device modeling and simulation. Dr. Dang is also interested in applying data science and algorithm into device and system research. She published 7 peer reviewed journal papers and 5 peer review conference papers. She was nominated the Best Paper Award in the 2015 IEEE PVSC Conference. She is an IEEE woman in PV member and serves a reviewer for Solar Energy Materials and Solar Cell, Solar Energy and Nanotechnology Journals.
Dr. Amir Shahirinia has received B.S. and M.S. degrees from K.N.Toosi University of Tech., Tehran, Iran, and PhD from University of Wisconsin-Milwaukee in Electrical Engineering. He has also performed postdoctoral studies with the power electronics group at Rockwell Automation. He is currently an assistant professor of the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington D.C. Dr. He is also the director of Center of Excellence for Renewable Energy (CERE). Dr. Shahirinia’s research background encompasses the areas of power systems and power electronics and ranges from optimal planning of renewable energy grid integration systems (REGIS), modeling and intelligent real-time control of REGIS, Bayesian statistical analysis and predictive modeling of REGIS, to power electronics and motor drives.
Career Pathways and Prospects
Electrical engineers are in high demand, and an electrical engineering degree from UDC will prepare you for career opportunities in both the private and public sector. UDC electrical engineering graduates have found employment at prominent companies like IBM, Northrop Grumman, Verizon, PEPCO and many other exciting and innovative technology, energy-related, and consulting businesses in the Washington Metropolitan area, around the US, and overseas.
You may also choose to pursue a master’s degree in electrical engineering right here at UDC, or an advanced degree in electrical engineering, physics, mathematics or medicine. Many of our graduating seniors have been accepted to top graduate programs in electrical engineering, physics, mathematics, and medicine.
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