The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses ...

This meeting brought together members of the NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL) and researchers working on related topics. The ...

This course will discuss fundamental concepts and tools in discrete mathematics with emphasis on their applications to computer science. Example topics include logic and Boolean circuits; sets, ...

Zohair Raza Hassan, a third-year Ph.D. student in the Golisano College of Computing and Information Sciences, traveled to Bratislava, Slovakia, in August to present at the 49th International Symposium ...

The management team for the NSF program Stimulating Collaborative Advances Leveraging Expertise in the Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL) (NSF 21-561) will host a ...

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 ...

A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...

Computational models that simulate real-world physical processes are playing an ever-increasing role in engineering and physical sciences. These models, encoding physical rules and principles such as ...