Welcome to the EE 416 webpage. Here you will find all class information for the Fall 2013 offering of EE 416.
Professor Jim Ritcey
EE416 is the first course in our undergraduate communications courses. The other courses in the track include EE461, EE417, EE 418, and EE420.
The pre-reqs for EE 416 include EE341 (linear systems) and a prior course in statistics, either IE 315 (preferred) or STAT 390. The course uses MATLAB for computing.
Probability theory is extensively used in modeling communications systems and forms the underlying toolkit for designing statistical signal processing algorithms. In EE 416 we will learn the basics of discrete and continuous probability and apply them to solve problems in signal processing and communications.