CS 455 Probability & Statistics in CS
| Description |
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. |
| Credit Hours |
Non-credit |
| Type |
Lecture |
| Prerequisites |
Undergraduate level CS 303 Minimum Grade of C |
| Files |
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