This course serves as helpful background for Artificial Intelligence, Machine Learning, Robotics, Natural Language Processing, Randomized Algorithms, topics in Security, as well as other Computer ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

Reasoning About Computation An introduction to mathematical topics relevant to computer science. Combinatorics, probability and graph theory will be covered in the context of computer science ...

CSPB 3022 - Introduction to Data Science with Probability and Statistics CSPB 3022 - Introduction to Data Science with Probability and Statistics *Note: This course description is only applicable for ...

About the major At UT Computer Science, undergraduate students receive a rigorous educational experience, with options to pursue more than 50 courses that span the full spectrum of topics in modern ...

For information on all computer science courses and elective courses in related disciplines, including the full description and frequency of offering for each course, please see the University ...

Find eligible courses on the General Education page. Technical Electives Technical electives are courses oriented toward the design or use of computers, generally in computer science, mathematics, ...

A full list of the computer science courses offered this year can be found on the Schedule of Classes. For information on all computer science courses and elective courses in related disciplines, ...

Computer Science prepares students to lead in a world experiencing sweeping technological change. Students choosing to major in computer science can look forward to a career in one of the many fields ...