Probability & Random Processes
Course #: ENGIN 322, Class #: 2186, Section #: 01
Description
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.
Prerequisites
ENGIN 321
Course Details
Date / Time
7/13/26 - 8/20/26
TuTh 1p.m. – 4p.m.
Location
REMOTE
Credits
3
Session
Summer Session 2, 6 weeks
Class Dates
7/13/2026 - 8/20/2026
Location
REMOTE
Enrolled / Capacity
20 / 18
Status
Closed