Summer 2019

Archived:

## Computations in Dynamics

This is a 2 week intense course, with lectures in the morning and computational lab in the afternoon.

Students will be asked to have a laptop with Matlab on it.

The course will meet in the mornings for lecture, break for  lunch, and reconvene for the lab in the afternoons.

## Computations in Dynamics

This is a 2 week intense course, with lectures in the morning and computational lab in the afternoon.

Students will be asked to have a laptop with Matlab on it.

The course will meet in the mornings for lecture, break for  lunch, and reconvene for the lab in the afternoons.

## 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.

## Introduction to Discrete Mathematics

Mathematical logic and proof, mathematical induction, counting methods, recurrence relations, algorithms and complexity, graph theory and graph algorithms.

## Classical Mathematical Methods in Engineering

Fourier series, Fourier integrals, boundary value problems for partial differential equations, eigenvalue problems

## Topics in Linear Algebra

Linear algebra in R^n, standard Euclidean inner product in R^n, general linear spaces, general inner product spaces, least squares, determinants, eigenvalues and eigenvectors, symmetric matrices.

## Introduction to Probability and Statistics

This course is a problem oriented introduction to the basic concepts of probability and statistics, providing a foundation for applications and further study.

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

## Applied Combinatorics

Elementary combinatorial techniques used in discrete problem solving: counting methods, solving linear recurrences, graph and network models, related algorithms, and combinatorial designs.

## Mathematics Written Comps Preparatory Class

Pass/Fail only. A course for graduate students in Mathematics to help prepare for the written comprehensive exams in Algebra and Analysis. Offered Summer 2017.

In 2017, the course was split into two sections: MATH 8802 ALG and MATH 8802 ANA.

## Math Methods of Applied Sciences I

Review of linear algebra and ordinary differential equations, brief introduction to functions of a complex variable.