6.842 Randomness and Computation

Class Info

The power and sources of randomness in computation. Connections and applications to computational complexity, computational learning theory, cryptography and combinatorics. Topics include: probabilistic proofs, uniform generation and approximate counting, Fourier analysis of Boolean functions, computational learning theory, expander graphs, pseudorandom generators, derandomization.

This class has 6.046, and 18.4041 as prerequisites.

6.842 will be offered this semester (Fall 2018). It is instructed by .

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the MIT + 6.842 - Google Search site.

MIT 6.842 Randomness and Computation Related Textbooks
MIT 6.842 Randomness and Computation On The Web

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