MAT 501 MATH FOR TEACHERS: ALGEBRA
Prerequisite: 24 credit hours of undergraduate mathematics. Operational systems, number systems, groups, rings, fields, ordered fields, functions over fields, algebraic properties of the trigonometric functions.
MAT 521 MATH FOR TEACHERS: GEOMETRY
Formal and informal geometry, congruence, measurement, constructions, similarity, transformations, coordinate geometry, trigonometric functions.
MAT 552 MATHEMATICS FOR TEACHERS: NUMBER THEORY
MAT 581 MATHEMATICS FOR TEACHERS: PROBABILITY AND STATISTICS
Prerequisites: Two semesters of calculus and MAT 325 or MAT 311 or equivalent. Probability, probability distributions, sampling, design of experiments, hypothesis testing, regression, analysis of variance, nonparametric statistics.
MAT 587 TOPICS IN MATHEMATICS
In-depth examination of rapidly and significantly changing disciplinary issues, topics, or practices; offered occasionally.
MAT 588 TOPICS COURSE
MAT 590 INDEPENDENT STUDY
MAT 593 MATHEMATICS FOR TEACHERS: DISCRETE MATHEMATICS
MAT 598 MICROCOURSE
Examination of significant disciplinary issues, topics, or practices
MAT 601 TOPICS IN MODERN ALGEBRA
Prerequisite: Acceptance to the mathematics master's degree program. Groups, semigroups, and monoids; homomorphisms; subgroups and cosets; Abelian groups; the symmetric group; actions and the Sylow theorems; rings, subrings, and ideals; ring homomorphisms; integral domains, division rings, and fields; ring and field extensions; Galois theory.
MAT 611 TOPICS IN REAL ANALYSIS
Prerequisites: Three semesters of an undergraduate calculus sequence. Real numbers; basic topology; continuous functions; differentiation; the Riemann-Stieltjes integral; sequence and series of functions; some special functions; the Lebesgue theory.
MAT 616 ELEMENTS OF MATHEMATICS, PROGRAMMING AND COMPUTER SCIENCE FOR DATA SCIENCE
Prerequisite: Instructor permission. Introductory topics in calculus, optimization, linear algebra and discrete mathematics useful for data scientists. Networking concepts relevant to data analytics approached from a mathematical point of view. Mathematical programming to implement a variety of numerical methods. Offered every fall semester.
MAT 620 MODERN GEOMETRY:SELECTED TOPICS
Prerequisite: MAT 322. Foundations; axiomatic projective geometry; real projective geometry; linear projective geometry; finite geometries; non-Euclidean geometries.
MAT 631 FOUNDATIONS OF MATHEMATICS
Prerequisite: 12 credit hours of mathematics coursework beyond calculus. Axiomatic method; theory of sets and infinite sets; real number system and linear continuum; the complex number system; groups and their significance for the foundations; development of various viewpoints on foundations.
MAT 646 INTRODUCTION TO STATISTICS FOR DATA SCIENCE
Prerequisite: Instructor permission. Descriptive statistics, probability concepts, discrete and continuous probability distributions, sampling distributions, interval estimation and hypothesis testing of one and two population means, proportions and variances, non-parametric tests, simple linear regression and correlation, one-way analysis of variance. Offered every fall semester.
MAT 651 THEORY OF NUMBERS
Prerequisite: 12 credit hours of mathematics coursework beyond calculus. Counting and recording of numbers; properties of numbers; Euclid's algorithm; prime numbers; the aliquot parts; indeterminate problems and their theory; Diophantine problems; congruences; analysis of congruences; Wilson's theorem; Euler's theorem; theory of decimal expansions; the converse of Fermat's theorem; the classical construction problems.
MAT 670 DISCRETE MATHEMATICS AND FOUNDATIONS OF COMPUTER SCIENCE
Prerequisite: Acceptance to the mathematics master's degree program. Problems, theorems, and discrete structures commonly used in mathematics and computer science; mathematical analysis of algorithmic/computer solutions to problems in mathematics; mathematical problems that are not solvable by computer.
MAT 681 INTERMEDIATE PROBABILITY
Prerequisite: MAT 381. Advanced probability theory; combinatorial analysis; the laws of large numbers; theory of stochastic processes.
MAT 683 STATISTICAL THEORY
Prerequisite: MAT 381. Probability; estimation; confidence sets; tests of hypotheses; decision theory; Bayesian methods; linear models; nonparametric methods.
MAT 690 MASTER'S PROJECT
Prerequisite: Written approval of the faculty member and the department chair. Research study or investigation of a mathematical problem or topic, conducted under the guidance of a graduate faculty member of the Mathematics Department.
MAT 695 MASTER'S THESIS
MAT 696 HISTORY OF MATHEMATICS
Prerequisite: 12 credit hours of mathematics coursework beyond calculus. Chronological study of the development of mathematics; contributions of nations, ages, or periods; selected biographies, appraisals, and critiques; problem studies.
MAT 699 SELECTED ADVANCED TOPICS
Prerequisite: Instructor permission. Seminar considering an advanced branch of contemporary mathematics such as combinatorics, game theory, automata theory, or intensive study of an advanced topic in mathematical research.
MAT 701 MODERN ALGEBRA I
Prerequisite: MAT 301. Cyclic groups; transformation groups; factor groups; groups with operators; isomorphism theorems; composition series; direct products of groups; Sylow theorems; residue class rings; operations on ideals; extensions of rings.
MAT 721 THESIS/PROJECT CONTINUATION
MAT 722 THESIS/PROJECT EXTENDED
MAT 795 MASTER'S THESIS
Individual investigation into an area of mathematics, under the guidance of a faculty member.