Students enrolled in the Professional MS in Computer Science (MSCPS) program with the Algorithms, Network and Optimization (ANO) subplan must complete 30 credit hours of graduate coursework that align ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. The software adapts key principles of Bayesian Optimization (BO) to ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

Using services like ChatGPT or Microsoft Copilot can sometimes seem like magic—to the point it can be easy to forget about the advanced science running behind the scenes of any artificial intelligence ...

In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with matchings and cover many results, extending the fundamental results of matchings, ...