Getting students to buy into a class, getting them to buy into the content, pushing them beyond what they think they're capable of — that is what drives my work. Professor Sam Gutekunst, the John D.

Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important ...

Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...

Google DeepMind has used chatbot models to come up with solutions to major problems in mathematics and computer science. The system, called AlphaEvolve, combines the creativity of a large language ...

Since the very first days of computer science — a field known for its methodical approach to problem-solving — randomness has played an important role. The first program to run on the world’s first ...

Computer Science: Those with advanced degrees in computer science (CS), especially those who specialize at the Master's or Ph.D. levels in subjects like algorithms, computational theory, or artificial ...