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EEE-520

Random Signal Theory

Grand Canyon University 4 credits Electrical Engineering

Course Description

Random Signal Theory is a fundamental course in the field of electrical engineering, applied mathematics, and signal processing. Students explore the theory and mathematical foundations behind the analysis and processing of random signals, which are prevalent in various real-world applications, such as telecommunications, data analysis, finance, and more. Understanding random signal theory is essential for engineers and researchers working with uncertain or unpredictable data, enabling them to make informed decisions and develop robust systems. Prerequisite: EEE-500.

Code
EEE-520
Credits
4
Subject
Electrical Engineering

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