One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...

Lecture-based course in the fall semester that features prominent entrepreneurs telling the stories of how they founded their companies and answering questions from the students. Students get to pitch ...

Check that your degree profile shows "Pursuing" for the Programming and Computation Certificate. If your status isn’t updated, email: [email protected] with your name and EID after your ...

As a computer science major, you can study abroad and earn credit toward electives or other degree requirements without missing a step in your academic journey. Through Texas Global, you’ll find ...

Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...

Coding in the Classroom is an outreach initiative in which members of the UT Computer Science community teach coding in local ...

Your well-being matters. As a Computer Science graduate student, you'll have access to a range of resources designed to support your academic success, mental health and overall wellness. Whether you ...

Combine computer science with another field to shape a degree as multidimensional as your interests. Our interdisciplinary programs let you explore big questions across disciplines, preparing you to ...

Your graduate experience spans the academic, social and professional. Together with peers and faculty, you’ll explore new ideas, exchange insights and build connections that inspire curiosity, ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

Simulation is often used in research and industry as a low cost, high efficiency alternative to real model testing. Simulation has also been used to develop and test powerful learning algorithms.

Domain specific languages and frameworks, concurrent programming languages, operating systems, compilers and interpreters, developer experience.