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| CSI 971 - Probability Theory |
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A rigorous measure-theoretic treatment of probability. Includes expectation, distributions, laws of large numbers and central limit theorems for independent random variables, characteristic function convergence, and Markov chains.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - Advanced Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Graduate level STAT 544 Minimum Grade of B- and Undergraduate level MATH 315 Minimum Grade of C |
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