6.262 | Spring 2011 | Graduate

Discrete Stochastic Processes

Video Lectures

Lecture 20: Markov Processes and Random Walks

Description: After reviewing steady-state, this lecture discusses reversibility for Markov processes and for tandem M/M/1 queues. Random walks and their applications are then introduced.

Instructor: Prof. Robert Gallager

Markov Processes and Random Walks (PDF)

Course Info

As Taught In
Spring 2011
Learning Resource Types
Problem Sets with Solutions
Exams with Solutions
Online Textbook
Lecture Videos