EECS 395/495-0-21: The Probabilistic Method

Fall 2009

Lecturer: Lance Fortnow

Lectures: MWF 1:00-1:50 in Jacobs 586 (Kellogg Building)

Office Hours: TBA

Description: This course will give a basic introduction to discrete probability including random variables, expectation, variance and probabilistic inequalities. We then use these tools to show the existence of combinatorial objects with certain properties by choosing them at random and showing the property holds with positive probability, for example Ramsey graphs with no large clique or independent set.

Prerequisites: A discrete math course or other course with mathematical proofs. No previous knowledge of probability will be assumed.

Textbook: The Probabilistic Method by Alon and Spencer

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