sp21

Archived: 

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.

MATH 3215, MATH 3235, and MATH 3670 are mutually exclusive; students may not hold credit for more than one of these courses. 

Probability and Statistics with Applications

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

MATH 3215, MATH 3235, and MATH 3670 are mutually exclusive; students may not hold credit for more than one of these courses. 

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.

Pages

Subscribe to RSS - sp21