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CS 555 - Probability & Statistics in CS |
Introduction to Probability and Statistics with applications in Computer Science. Counting, permutations and combinations. Probability, conditional probability, Bayes Theorem. Standard probability distributions. Measures of central tendency and dispersion. Central Limit Theorem. Regression and correlation. Hypothesis testing. Random number generation. Random algorithms. Estimating probabilities by simulation. Genetic algorithms.
3.000 Credit hours Levels: Graduate Schedule Types: Lecture Computer and Information Sci Department Course Attributes: Tuition Arts and Sciences Restrictions: Must be enrolled in one of the following Levels: Graduate |
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