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 ...

CS388R: Randomized Algorithms (Fall 2008)Last modified: December 9, 2008 ...

Fig.2 - Rectified flow between π 0 (magenta contour) and π 1 (red contour). Green and blue lines are the trajectories colored based on which mode of π 0 they are associated with for visualization.

The Department of Computer Science at The University of Texas at Austin ranks No. 9 nationally among undergraduate programs in the 2026 U.S. News & World Report Best Colleges rankings. Its Artificial ...

This research study has been reviewed by The University of Texas at Austin Institutional Review Board, and determined that this protocol meets the criteria for exemption from IRB review under 45 CFR ...

Prof. Peter Stone is a luminary in the Department of Computer Science, where he has been a faculty member for 23 years. Over the course of his tenure, he has been a firsthand witness to the rapid ...

Researchers at The University of Texas at Austin and Cognizant AI Lab have developed an AI-driven system that leverages 175 years of global land use and carbon storage data to generate optimal ...

Computing Across Disciplines is a three-part series on cross-campus programs combining computer science with other fields of study at UT Austin. In our final installment, we’re highlighting a program ...

Most of the computer graphics research in the UT Austin CS department is conducted by two major sub-groups, each with its own web page: ...

The 2025-2026 rankings tout computer science at The University of Texas at Austin as among the seven best nationally. The UT Computer Science graduate program continues to be recognized as a top 10 ...

Vinayak M. Kumar, a fourth-year Ph.D. student, has earned a position in 2025 Fellowship class for Jane Street, a trading company that will utilize new technologies to aid their clients. The Department ...

UT Austin’s Scott Aaronson and his former postdoctoral researcher, Shih-Han Hung, played a key role in demonstrating the first practical use of quantum computing: generating and verifying truly random ...