6.842 Randomness and Computation
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.
6.842 will not be offered this semester. It will be available in the Spring semester, and will be instructed by R. Rubinfeld.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.842&btnG=Google+Search&inurl=https site or on the 6.842 Stellar site.
© Copyright 2015 Yasyf Mohamedali