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 ...

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 ...

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 ...

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 ...

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Build foundational knowledge of data science with this introduction ...

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 ...

In addition to coding and programming, your online computer science master's courses will cover topics like AI, UI/UX, cybersecurity and cloud computing in detail. You'll gain a big-picture ...

This semester, Rice is embracing artificial intelligence in more ways than one. The Department of Computer Science launched a ...

These can be required or elective courses for majors in KCS departments or KCS courses specifically designated as appropriate for science majors. Courses with titles indicating they are for ...