ECE153: Probability and Random Processes for Engineers
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Random variables, vectors, and processes. Convergence and limit theorems. Memoryless, independent increment, Markov, and Gaussian random processes. Stationary random processes. Correlation and power spectral density. Mean square error estimation, detection, and linear estimation. Random noise in linear systems.
ECE109 (Engineering Probability and Statistics) or equivalent. Working knowledge of calculus, algebra, and probability. These prerequisites should be taken very seriously.
TuTh 9:30–10:50 am, York Hall 4080A.
Course Requirements and Grading