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E C E 331

INTRODUCTION TO RANDOM SIGNAL ANALYSIS AND STATISTICS

3 credits.

Introduction to probability, random variables, and random processes. Confidence intervals, introduction to experimental design and hypothesis testing. Statistical averages, correlation, and spectral analysis for wide sense stationary processes. Random signals and noise in linear systems.

Prerequisites & course information

Requisites: ( E C E 203 or 330 ) or member of Engineering Guest Students Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Demonstrate a working knowledge of the basic axioms and identities of probability theory Audience: Undergraduate 2. Determine probability distributions for different random variables Audience: Undergraduate 3. Apply properties of expectation and variance to functions of random variables Audience: Undergraduate 4. Apply basic statistical methods for parameter estimation Audience: Undergraduate 5. Apply the methods of probability to everyday problems Audience: Undergraduate Learning Outcomes: 1. Demonstrate a working knowledge of the basic axioms and identities of probability theory Audience: Undergraduate 2. Determine probability distributions for different random variables Audience: Undergraduate 3. Apply properties of expectation and variance to functions of random variables Audience: Undergraduate 4. Apply basic statistical methods for parameter estimation Audience: Undergraduate 5. Apply the methods of probability to everyday problems Audience: Undergraduate

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