Sample spaces; basic axioms of probability; combinatorial probability; conditional probability and independence; binomial, Poisson and normal distributions, central limit theorem. Prerequisite: either 2.0 in MATH 126, or 2.0 in MATH 136; recommended: either MATH 324 or MATH 327. Offered: jointly with MATH 394; AWS.
Introduction to Probability: axioms, conditional probabilities, random variables, applications
Student learning goals
General method of instruction
Lectures, with examples, and homework: solutions to homework problems are posted on the class page, and are meant as an additional instruction tool to learn problem solution methods .
Class assignments and grading