MAP 4102 - Probability and Stochastic Processes

Credits: 3

Prerequisites: MAP 2302 - Differential Equations and MAS 3105 - Linear Algebra
Course Description: Probability Spaces, Discrete and Continuous Random Variables, Conditional Probabilities, and Expectations, Standard Distributions, Poisson Processes, Discrete and continuous Parameter Markov Chains and either Queues, Brownian Motion or Simulation

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