Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

This is an introductory graduate level course on Algorithms that will give broad exposure to recent advances in algorithms, yet cover the fundamental techniques needed to understand the recent ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

While the billion-dollar question is about when quantum computing will become commercially viable, one of the problems being tackled at the moment is how to make the ...