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Probability and Stochastic Systems

In many complex systems, randomness plays an integral part in the outcome of an event.

The likelihood of a system to produce an event is based on the initial state and a range of parameters. Results are predicted and described by a number of mathematical methods in this academic field, including: axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems, discrete and continuous time parameter Markov chains, queuing theory, inventory theory and simulation.

Thursday, April 13, 2017 -
14:00 to 16:00
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