Randomized Algorithms

3 credits · Graduate Programs

Design and analysis of randomized algorithms; discrete probability theory; randomized data structures; lower bound techniques; randomized complexity classes; advanced algorithmic applications from various areas. Antirequisite(s): Credit for Computer Science 622 and 522 will not be allowed.