EE 178/EE 278A – Probabilistic Systems Analysis

Andrea Montanari, Stanford University, Autumn 2013

Probability is the basic tool for modeling and analyzing systems in which uncertainty, noise, randomness play important roles. Its engineering applications include: networking (to model the traffic patterns), communications and signal processing (to model the channel or sensing noise), machine learning and artificial intelligence (to model uncertainty in reasoning), randomized algorithms, and so on.

This class provides an introduction to the basc concepts of probability: Probability spaces, independence, expectation and conditional expectations, large system asymptotics, and simple stochastic processes.

Class Times and Locations

  • Tue-Thu 11:00AM-12:15PM, Room 380-380D


First lecture on Tue, Sep 24

The final will be on 12/9/2013 from 3:30pm-6:30pm in room 380-380D.

Please join Piazza forums here to participate in discussions.

There is no homework due for Thu Oct 10.