Techniques for the design and analysis of randomized algorithms; discrete probability theory; randomized data structures; lower bound techniques; randomized complexity classes; advanced algorithmic applications from various areas.
This course may not be repeated for credit.
Antirequisite(s)
- Credit for Computer Science 522 and 622 will not be allowed.
SyllabusSections
This course will be offered next in
Winter 2022.