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Theory and methods of stochastic optimization
Graduate course covering stochastic approximations, the ODE approach, gradient estimation, discrete optimization.

Introduction to stochastic processes and computer simulation
Graduate course covering Markov chain modeling and analysis and principles of computer simulation.

Discrete mathematics for computer scientists
Undergraduate course introducing combinatorics, cryptography, logic, probability and graph theory.

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