36-217 Probability Theory and Random Processes

9 units, Carnegie Mellon University

This course provides an introduction to probability theory. It is designed for students in electrical and computer engineering. Topics include elementary probability theory, conditional probability and independence, random variables, distribution functions, joint and conditional distributions, limit theorems, and an introduction to random processes. Some elementary ideas in spectral analysis and information theory will be given. A grade of C or better is required in order to use this course as a prerequisite for 36226 and 36410. Not open to students who have received credit for 36225, or 36625.

Prerequisites: 21-112 or 21-122 or 21-259 or 21-256 or 21-123

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