Course Catalog

UGRD > ENGIN > 322

Probability and Random Processes

An introduction to probabilistic description (via the probability density function or distribution function) and statistical description (via the ensemble average, variance, etc.) of random signals as applied to the analysis of linear systems. Other topics include conditional probability, statistical independence, correlation, sampling theory, confidence intervals, hypothesis testing, stationary and ergodic processes, auto-correlation and cross-correlation functions, spectral density, and their interconnections.

Offered in:

2016 Spring

Section Class Number Schedule/Time Instructor Location
01 4438 TuTh
12:30 PM - 01:45 PM
Materdey,Tomas S04-0073
Session: Regular Academic Session
Class Dates: 01/25/2016 - 05/11/2016
Capacity: 12
Enrolled: 12
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-Req: ENGIN 321
Course Attributes: