Introduction to the essential concepts and functions of stochastic processes. Markov chains, continuous-time Markov processes, Poisson and renewal processes, and Brownian motion. Applications of stochastic processes including queueing principle and probabilistic analysis of computational algorithms. Math 19- Calculus covers properties and functions of limits, steady features, and derivatives. Calculations contain trigonometric capabilities, exponentials, and logarithms, and purposes embody max/min issues and curve-sketching.
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