Mason Square offers access to state-of-the-art labs and facilities, bringing students and faculty closer to industry and government.
The Department of Electrical and Computer Engineering offers various undergraduate and graduate courses at Mason Square (formerly Arlington campus) each spring and fall semester. By taking courses at Arlington, students can attend classes conveniently located close to the nation's capital and in direct proximity to industry and government partners. They can access the newest lab equipment and take advantage of the smaller class sizes. Access to the buildings is convenient through a shuttle bus between the Fairfax campus and Arlington and through the metro.
The campus includes several buildings, and its newest building, Fuse at Mason Square, is scheduled to be officially opened in August 2025. It is designed as an innovative space equipped with various amenities that will soon lend itself to becoming an epicenter of innovation. It will foster learning, research, and entrepreneurship and will help create new connections and communities.
Fall 2024 Mason Square Offerings
CRN |
Crse Number |
Crse Name |
Day/Time |
Instructor |
ECE 412 |
Renewable Energy Lab |
M 5:30pm-8:10pm |
Huang, Liling |
|
ECE 465 |
Computer Networking Protocols |
TR 9am-10:15am |
Yun, Sean |
|
ECE 651 |
Advanced Learning From Data |
W 4:30pm-7:10pm |
Tian, Zhi |
|
ECE 699 |
Robot Learning |
M 7:20pm-10pm |
Fernandes Veiga, Filipe |
Spring 2025 Mason Square Offerings
CRN |
Crse Number |
Crse Name |
Day/Time |
Instructor |
ECE 333 |
Linear Electronics I |
F 10:30am-1:10pm |
TBD |
|
ECE 350 |
Embedded Systems and Hardware Interfaces |
F 1:30pm-4:10pm |
TBD |
|
ECE 391 |
Professional Development for Engineers |
F 4:30pm-5:45pm |
TBD |
|
ECE 420 |
Smart Grid Lab |
M 7:20pm-10pm |
Liling Huang |
|
ECE 575 |
AI Design and Deployment Risks |
M 4:30pm-7:10pm |
Missy Cummings |
|
ECE 576 |
AI: Ethics, Policy and Society |
T 4:30pm-7:10pm |
Jessie Kirkpatrick |
|
ECE 605 |
Microgrid Design and Control |
R 7:20pm-10:00pm |
Hung Ming Chou |
|
ECE 657 |
Probabilistic Machine Learning |
T 7:20pm-10:00pm |
Anand Vidyashankar |