University of Calgary

CPSC 522 - Introduction to Randomized Algorithms - Winter 2017

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.

Hours

  • H(3-2T)

Notes

  • Mathematics 321 or Statistics 321 is recommended as preparation for this course.

Prerequisite(s)

  • Computer Science 413.
Syllabus

Sections

This course will be offered next in Spring 2019.
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