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 ...

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 ...

Expand the application of computing and computational thinking at an R1 flagship technological university where STEM research is at the heart of everything we do. Learn from caring and skilled faculty ...

Growth and change in technology have brought a boom in the availability of data and the need for people to shape technologies. Growing areas like machine learning require expertise in programming, ...

For mathematicians and computer scientists, this was often a year of double takes and closer looks. Some reexamined foundational principles, while others found shockingly simple proofs, new techniques ...

The second part in the Mathematical Foundations of Computer Science (MFCS) sequence covers mathematical topics of probability, linear algebra, multivariable calculus and basic optimization that are ...

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 ...

For her pioneering work in computer science, Grace Murray Hopper ’30 M.A., ’34 Ph.D. has been dubbed the “queen of code” by her biographers. Yet, beneath that crown was the brain of a mathematician, ...

Twenty-five teachers from Redlands Unified School District recently completed training by the UC Davis C-STEM Center and UC Riverside on integrating robotics and computing into math classes. (Redlands ...

For mathematicians and computer scientists, 2020 was full of discipline-spanning discoveries and celebrations of creativity. Several long-standing problems yielded to sustained collaboration, ...