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
Level
Learning Resource Types
Exams with Solutions
Open Textbooks
Lecture Videos
Problem Sets
Problem Set Solutions