The way we tell computers what to do, through programming languages, has changed a ton. We’re going to take a look at the ...

From greedy shortcuts to dynamic programming guarantees, algorithm design techniques are the backbone of efficient problem-solving in computer science. Understanding when and how to apply each ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Software may appear to operate without bias because it strictly uses computer code to reach conclusions. But a team of computer scientists has discovered a way to find out if an algorithm used for ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.

This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

Computers are all around us. How does this affect the world we live in? This course is a broad introduction to computing technology for humanities and social science students. Topics will be drawn ...

Many experts believe that once quantum computers are big enough and reliable enough to solve useful problems, the most common deployment architecture will be to have them serve as accelerators for ...

Big data drives many of today’s business decisions, which makes knowledge of computer science and business invaluable for tech startups, IT consulting, investment banking and more. Leeds students have ...