The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

THE HISTORY Of computers is often told as a history of objects, from the abacus to the Babbage engine up through the code-breaking machines of World War II. In fact, it is better understood as a ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

The curriculum for the Bachelor of Arts degree in Computer Science is based on current recommendations of the Association for Computing Machinery (ACM) for liberal arts institutions. The program is ...

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

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 ...

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...

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 ...