Course Description.Introduction to Stochastic Processes

Course content.Discrete-time Markov chains, Poisson processes, continuous time Markov chains, renewal theory.

Contents of the semester course:

• Review of knowledge points
• Homework/Quiz exercises explained
• Teach you how to understand and analyze topics and solve problems
• Comes with 6 hours of lecture each for midterm and final sprint