The Department of Computer Science at American University balances the practical and theoretical aspects of computer science and provides students with a background for professional employment or further study in the discipline.
The Department of Computer Science at American University balances the practical and theoretical aspects of computer science and provides students with a background for professional employment or further study in the discipline. Our graduates move on to a wide range of careers that includes software development and design, multimedia computing, artificial intelligence and computer vision, and other technical computing professions.
As a student in our department, you will:
Master state-of-the-art technologies necessary to keep pace with this rapidly changing field.
Receive individual attention in classes with fewer than 20 students.
Conduct research and complete independent studies with faculty members actively researching a variety of fields, including: artificial intelligence, scientific computing, databases and knowledge discovery, computer architecture, computational geometry, and computer vision.
Obtain internships and utilize resources at the various high-tech companies and government agencies in the Washington, DC area, including: IBM, Mellon Bank, the National Institute of Standards and Technology (NIST), and a variety of nonprofit organizations and start-up companies
AU was awarded $5.7 million by the National Science Foundation to translate academic research into real-world impact. Computer Science professor Bei Xiao is one of the cross-school faculty leading the project.
Three computer science students won awards at the Mathias Student Research Conference: Milton Garcia (MS '23), Sydney Sachs (MS '23, BS '22), and Ian Whitehouse (BS '24).
Bei Xiao was awarded $420K from the NIH/National Eye Institute to support the project "Learning diagnostic latent representations for human material perception: common mechanisms and individual variability."
Nathalie Japkowicz was a lecturer at DeepLearn 2023 in Bournemouth, UK, presenting three lectures on the topic of “Learning from Class Imbalances”.