2024 Spring > UGRD > engin > engin 322
Probability and Random Processes
Course #: engin 322
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.
Pre Requisites:
Pre-Req: ENGIN 321
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 7665 | TuTh 11:00 - 12:15 pm |
Annavajjala,Ramesh | W02-0060 ENGIN Lab | |
|
Session:
Regular
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
48
Enrolled:
43
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-Req: ENGIN 321
Course Attributes:
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