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This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

Topics include sample spaces and probabilities, discrete probability distributions (Binomial, Poisson), expectation and variance, continuous probability distributions (Normal, Chi-squared), hypothesis testing, confidence intervals, correlation and regression.

Topics include sample spaces and probabilities, discrete probability distributions (Binomial, Poisson), expectation and variance, continuous probability distributions (Normal, Chi-squared), hypothesis testing, confidence intervals, correlation and regression.