Course Overview

This course introduces students to probability and simulation. Students will learn how probability and simulation are applied in real-world decision-making scenarios. Topics covered include probability distributions (normal, binomial, Bernoulli, and Poisson), Markov chains and random walks, bootstrapping, and randomization tests. Applications will be emphasized throughout. A programming language will be used.