Graduate Courses
The Department of Mathematics does not offer graduate degree programs, but does offer courses thay may apply toward graduate programs in education or engineering. The following courses are available and offered annually or in alternate years.
A rigorous treatment of properties of the real numbers and functions of a single real variable. Topics include completeness, limits, continuity, differentiation, integration, and sequences. Additional topics may include series, an introduction to Euclidean or metric spaces.
3
Prerequisites
MTH 311
Credits
3
Topics may include sequences and series of functions, uniform convergence, Fourier series, the Riemann-Stieltjes integral, and functions in several variables.
3
Prerequisites
MTH 501
Credits
3
Complex numbers and functions of a complex variable; limits, differentiability; Cauchy's theorem; power series, Laurent series, residue theorem with applications, maximum modulus theorem, Liouville's theorem; conformal mapping and applications.
3
Prerequisites
MTH 401
Credits
3
An introduction to fundamental concepts in point-set topology. Topics are taken from the following: open and closed sets, continuity, connectedness, compactness, separability, metric spaces.
3
Prerequisites
MTH 311
Credits
3
The study of algebraic structures that are like the integers, polynomials, and the rational numbers. The integers and their properties. Groups: examples, properties, and counting theorems. Rings: examples and properties. Fields: roots of polynomials and field extensions.
3
Prerequisites
MTH 311,
MTH 341
Credits
3
Unique factorization in special rings. Field theory and the use of groups to understand field extensions: finite fields, Galois theory. Classical construction problems, solution of n-th degree polynomials.
3
Prerequisites
MTH 541
Credits
3
Probability, discrete, and continuous random variables, expectation, important probability distributions, introduction to sampling, estimation, and hypothesis testing.
3
Prerequisites
MTH 301,
MTH 341
Credits
3
Topics from simple linear and multiple regression, analysis of variance and design of experiments, methods for categorical data, distribution-free methods.
3
Prerequisites
MTH 561
Credits
3