This course will introduce the student to the basic elements of discrete probability including: sample spaces, rules of probability, independence, conditional probability, Bayes’ Theorem, discrete multivariate distributions, covariance, correlation, moment generating function, and various important discrete distributions including the binomial, geometric, hypergeometric, Pascal, and Poisson. This course requires at least one semester of calculus which is used to consider continuous distributions like the uniform, exponential and normal distributions. It culminates with a proof of the Central Limit Theorem and its applications.
Actuarial Science majors should take MTH 4120 instead of MTH 3120.
To see the syllabus, click here.Apply to this course