Modeling how time-dependent random phenomena can evolve over time is a valuable tool used to analyze processes across a wide range of industries. This course focuses on building a framework to formulate and analyze probabilistic systems to understand potential outcomes and inform decision-making.

Topics Include

  • Continuous-time Markov chain
  • Discrete-time Markov chain
  • Queuing theory
  • Renewal processes