Stochastic processes is a tool for describing random systems changing over time.

Example of important processes:

  • Brownian motion,
  • Markov chains,
  • Gaussian processe,
  • Poisson processes and many others

We’ll learn about selecting the appropriate type of processes for modeling in particular situations.

Next we’ll understabd:

  • Notions of Ergodicity,
  • Stationarity, and
  • Stochastic Integration.