The recognition is for a 2005 paper titled “Agnostically Learning Halfspaces,” which Klivans co-authored with Adam Tauman ...

Experience programming, teamwork, and real-world applications in this week-long residential program for high school students. Choose from Arduino microcontrollers in the Standard Edition or Python in ...

Explore coding, project management, and teamwork through C++ and collaborative projects. Learn from UT faculty and current students while discovering the impact of women in tech. Live on campus, grow ...

Get an inside look at the creative and technical sides of game development. See how design studios operate, meet UT faculty and industry professionals, and explore future paths in game development.

We know that managing costs and minimizing student debt are important factors in your UT experience. Use the information below to find details on estimated cost of attendance, tuition rates, financial ...

Robotics Candidates: If your research area is robotics, please also send your cover letter and CV to [email protected] along with an indication that you have applied to the ...

Learn to build mobile apps using Swift and Xcode while developing a strong foundation in user interface design, logic, and collaboration. Work alongside peers, guided by UT faculty and industry ...

Combine computer science with the field that inspires you most. The X+CS Integrated Degree Program connects disciplines, expands your perspective and prepares you to take on the complex challenges ...

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 ...

Community is a big part of the UT Computer Science experience. Through student organizations, events and project-based opportunities, you’ll meet people who share your interests and want to see you ...

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

A critical bottleneck limiting imitation learning in robotics is the lack ofdata. This problem is more severe in mobile manipulation, where collectingdemonstrations is harder than in stationary ...