CSC 21700 Probability and Statistics for Computer Science
Overview of applicable discrete and stochastic foundations: combinatorics, probability, and Monte Carlo methods. Descriptive statistics for data analysis. Random variables, mathematical expectation. Study of the constant density and random number generator, normal, exponential, as well as Bernoulli, Binomial and Poisson distributions. Limit theorems and sample statistics. Foundations of discrete event simulation, computational examples.
Contact Hours
3 hr./wk.