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

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 ...

Through hands-on projects and mentorship from UT faculty, you’ll dive into coding with Python to train your own models, test their performance, and explore the ethical and social impacts of machine ...

Study computer science in a program that’s both rigorous and flexible. At UT Austin, you’ll build a strong foundation in computing and shape your degree around what interests you most. Our curriculum ...

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 ...

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 ...

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin ...

As a graduate student, you’ll have access to both academic advisors and faculty dedicated to helping you succeed. As a UT Computer Science student, our Graduate Advising Team is here to support your ...

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 ...

Combine the richness of history with the rigor of computer science. This interdisciplinary approach helps you uncover patterns and insights often overlooked by traditional methods, giving you a ...

This project will explore using emdeddings from an LLM to support standard document retrieval. You will use document and query embeddings from a recent LLM specialized for scientific literature stored ...

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 ...