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Electrical Engineering
Description: This course provides learning opportunities in the areas of probability theory and stochastic processes as applied to electrical systems. It teaches engineering science through the application of fundamental statistical principles to engineering problems by focusing on the introductory treatment of probability theory including axioms of probability, discrete and continuous random variables, conditional and cumulative probability distributions, expectations, and correlations. Applications of primary focus are drawn from problems of importance to electrical and computer engineers. Students will learn these topics through such methods as statistical analysis of signal processing with applications to image and speech signals and the modeling of noise when considering communication systems design. Letter grade only.
Units: 3
Sections offered: Fall 2025
EE 280 and MAT 136 with grades of C or better
Electrical Engineering
Term : Fall 2025
Catalog Year : 2025-2026
EE 326 - Applications Of Probability Theory And Stochasticity In Electrical Engineering
Description: This course provides learning opportunities in the areas of probability theory and stochastic processes as applied to electrical systems. It teaches engineering science through the application of fundamental statistical principles to engineering problems by focusing on the introductory treatment of probability theory including axioms of probability, discrete and continuous random variables, conditional and cumulative probability distributions, expectations, and correlations. Applications of primary focus are drawn from problems of importance to electrical and computer engineers. Students will learn these topics through such methods as statistical analysis of signal processing with applications to image and speech signals and the modeling of noise when considering communication systems design. Letter grade only.
Units: 3
Sections offered: Fall 2025
EE 280 and MAT 136 with grades of C or better