## Mathematical Capillarity

Special topics course on Mathematical Capillarity, offered in Spring 2021 by John McCuan.

## High-dimensional probability

The goal of this PhD level graduate course is to provide a rigorous introduction to the methods of high-dimensional probability.

## Introduction to Topological Quantum Computing/Quantum Representations

Special topics course on Topological Quantum Computing/Quantum Representations, offered in Spring 2021 by Wade Bloomquist.

## Mathematical Capillarity

Special topics course on Mathematical Capillarity, offered in Spring 2021 by John McCuan.

## Geometric Group Theory

Special topics course on Geometric Group Theory, offered in Spring 2021 by Dan Margalit.

## College Algebra

Study of the properties of algebraic, exponential, and logarithmic functions as needed for pre-calculus and calculus.

## Statistical Theory

This course is an introduction to theoretical statistics for students with a background in probability. A mathematical formalism for inference on experimental data will be developed.

## Probability Theory

This course is a mathematical introduction to probability theory, covering random variables, moments, multivariate distributions, law of large numbers, central limit theorem, and large deviations.

## Probability and Statistics with Applications

Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.

## A Second Course on Linear Algebra

This course will cover important topics in linear algebra not usually discussed in a first-semester course, featuring a mixture of theory and applications.