This course provides an introduction to the standard topics of probability theory, including probability spaces, random variables and expectations, discrete and continuous distributions, generating functions, independence and dependence, special probability models, sampling distributions, laws of large numbers, and the central limit theorem. The course emphasizes modeling real-world phenomena throughout. Satisfies the proof-based requirement in the mathematics major.
Prerequisites: MATH 280 and 290 or equivalents. All prerequisite courses must have been completed with a grade of C- or higher.