Part III: Random Processes (M-I-T)

Lecture 21: The Bernoulli Process (M-I-T)

Lecture 22: The Poisson Process Part I (M-I-T)

Lecture 23: The Poisson Process Part II (M-I-T)

Lecture 24: Finite-State Markov Chains (M-I-T)

Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)

Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)