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 622 and 522 will not be allowed.
Sections