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 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 ...

While both programmes revolve around computing and technological innovation, their approach, academic depth and career ...

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

The following requirements are effective for students starting the degree in Fall 2022 or later. Students who started the degree before Fall 2022 should see the curriculum guidefor their specific ...

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 ...

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 ...

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 ...