EE126—Probability and Random Processes.

Department of EECS—University of California at Berkeley

Home

This course is an introduction to probability and random processes.   The material covered is of central importance to many fields within electrical engineering and computer science, including communications theory, communications networks and statistical signal processing.  

 

Topics:

· Foundations of Probability

· Random Variables

· Inequalities and Limit Theorems

· Detection and Estimation Theory

· Markov Chains and Applications

 

Lectures: Tu-Th 3:30-5:00, 3106 Etcheverry

Discussions: (1) W 5:00-6:00, 521 Cory

                   (2) F 11:00—12:00, 521 Cory

Prof. Jean Walrand, 257M Cory Hall, OH: Tu, W 2-3

Assane Gueye, Wednesday 11-12am, 258 Cory

Daniel Preda, Thursday 10-11 am, 258 Cory

Announcements

 

You have been a great class. I wish you the best for the final and hope to see you in the future.

 

Jean Walrand