Objectives: During this course, students will develop their skill in using probability theory to analyze randomness in theoretical problems and in applications. These skills include:

Solving computational problems involving random variables, distributions, expectations, variances, conditional probabilities, Bayes' formula, Markov Chains, and limit theorems

Understanding proofs of important results in probability

Interpreting and analyzing probabilistic problems that arise in applications

Interpreting and analyzing probabilistic scenarios from the news or popular scientific results

Working with a team to apply to an interesting problem or extend your understanding of probability theory