Introduction to Probability and Random Processes

Probability space, conditional probability, Bayes theorem. Combinatorial analysis. Random variables (r.v.'s), distribution and density functions. Expected value, moments, characteristic function. Function of r.v.'s, Multiple r.v.'s, conditional distributions, independent r.v.'s. Multivariate Gaussian r.v.'s. Parameter estimation, confidence intervals, hypothesis testing. Introduction to random processes: mean, autocorrelation, power spectral density. Prerequisite: E&C-ENG 313.

Course Details

Campus: 
Amherst
Format: 
Online
Level: 
Undergraduate
Subject: 
Electrical and Computer Engineering
Number: 
E&C-ENG 314
Semester: 
Summer 2017
Registration Status: 
Closed
Registration: 
Monday, March 13, 2017 to Friday, May 26, 2017
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