Sample spaces; basic axioms of probability; combinatorial probability; conditional probability and independence; binomial, Poisson, and normal distributions. Prerequisite: minimum grade of 2.0 in either MATH 126 or 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