**700 — Linear Algebra. (3)** Vector spaces, linear transformations, dual spaces, decompositions of spaces, and
canonical forms.

**701 — Algebra I. (3)** Algebraic structures, sub-structures, products, homomorphisms, and quotient structures
of groups, rings, and modules.

**702 — Algebra II. (3) ** Fields and field extensions. Galois theory, topics from, transcendent field extensions,
algebraically closed fields, finite fields.**Prerequisite: **MATH 701

**703 — Analysis I. (3)** Compactness, completeness, continuous functions. Outer measures, measurable sets,
extension theorem and Lebesgue-Stieltjes measure. Integration and convergence theorems.
Product measures and Fubini's theorem. Differentiation theory. Theorems of Egorov
and Lusin. Lp-spaces. Analytic functions: Cauchy-Riemann equations, elementary special
functions. Conformal mappings. Cauchy's integral theorem and formula. Classification
of singularities, Laurent series, the Argument Principle. Residue theorem, evaluation
of integrals and series.

**704 — Analysis II. (3)** Compactness, completeness, continuous functions. Outer measures, measurable sets,
extension theorem and Lebesgue-Stieltjes measure. Integration and convergence theorems.
Product measures and Fubini's theorem. Differentiation theory. Theorems of Egorov
and Lusin. Lp-spaces. Analytic functions: Cauchy-Riemann equations, elementary special
functions. Conformal mappings. Cauchy's integral theorem and formula. Classification
of singularities, Laurent series, the Argument Principle. Residue theorem, evaluation
of integrals and series.

**705 — Analysis III. (3) **Signed and complex measures, Radon-Nikodym theorem, decomposition theorems. Metric
spaces and topology, Baire category, Stone-Weierstrass theorem, Arzela-Ascoli theorem.
Introduction to Banach and Hilbert spaces, Riesz representation theorems.**Prerequisite: **MATH 703, 704

**708 — Foundations of Computational Mathematics I. (3) ** Approximation of functions by algebraic polynomials, splines, and trigonometric polynomials;
numerical differentiation; numerical integration; orthogonal polynomials and Gaussian
quadrature; numerical solution of nonlinear systems, unconstrained optimization.**Prerequisite: **MATH 554 or equivalent upper level undergraduate course in Real Analysis

**709 — Foundations of Computational Mathematics II. (3) ** Vectors and matrices; QR factorization; conditioning and stability; solving systems
of equations; eigenvalue/eigenvector problems; Krylov subspace iterative methods;
singular value decomposition. Includes theoretical development of concepts and practical
algorithm implementation.**Prerequisite: **MATH 544 or 526, or equivalent upper level undergraduate course in Real Analysis

**710 — Probability Theory I. {=STAT 710} (3) ** Probability spaces, random variables and distributions, expectations, characteristic
functions, laws of large numbers, and the central limit theorem.**Prereq****uisite****: **STAT 511, 512, or MATH 703

**711 — Probability Theory II. {=STAT 711} (3)** More about distributions, limit theorems, Poisson approximations, conditioning, martingales,
and random walks.**Prerequisite:** MATH 710

**720 — Applied Mathematics I. (3) ** Modeling and solution techniques for differential and integral equations from sciences
and engineering, including a study of boundary and initial value problems, integral
equations, and eigenvalue problems using transform techniques, Green’s functions,
and variational principles.

**721 — Applied Mathematics II. (3) ** Foundations of approximation of functions by Fourier series in Hilbert space; fundamental
PDEs in mathematical physics; fundamental equations for continua; integral and differential
operators in Hilbert spaces. Basic modeling theory and solution techniques for stochastic
differential equations.

**Prerequisite: **MATH 720

**722 — Numerical Optimization. (3) **Topics in optimization; includes linear programming, integer programming, gradient
methods, least squares techniques, and discussion of existing mathematical software.**Prerequisite: **graduate standing or consent of the department

**723 — Differential Equations. (3) ** Elliptic equations: fundamental solutions, maximum principles, Green’s function,
energy method and Dirichlet principle; Sobolev spaces: weak derivatives, extension
and trace theorems; weak solutions and Fredholm alternative, regularity, eigenvalues
and eigenfunctions.**Prerequisite: **MATH 703, 704 or permission of instructor

**724 — Differential Equations II. (3) ** Detailed study of the following topics: method of characteristics; Hamilton-Jacobi
equations; conservation laws; heat equation; wave equation; linear parabolic equations;
linear hyperbolic equations.**Prereq: **MATH 723

**725 — Approximation Theory. (3) **Approximation of functions; existence, uniqueness and characterization of best approximants;
Chebyshev's theorem; Chebyshev polynomials; degree of approximation; Jackson and Bernstein
theorems; B-splines; approximation by splines; quasi-interpolants; spline interpolation.**Prereq:** Concurrent enrollment or passing grade in MATH 703

**726 — Numerical Differential Equations I. (3) **Finite difference and finite volume methods for ODEs and PDEs of elliptic, parabolic,
and hyperbolic type. This course covers development, implementation, stability, consistency,
convergence analysis, and error estimates.**Prerequisite:** MATH 708, 709 or permission of instructor

**727 — Numerical Differential Equations II. (3) ** Ritz and Galerkin weak formulation. Finite element, mixed finite element, collocation
methods for elliptic, parabolic, and hyperbolic PDEs, including development, implementation,
stability, consistency, convergence analysis, and error estimates.**Prerequisite:** MATH 726

**728 — Selected Topics in Applied Mathematics. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**729 — Nonlinear Approximation. (3) ** Nonlinear approximation from piecewise polynomial (spline) functions in the univariate
and multivariate case, characterization of the approximation spaces via Besov spaces
and interpolation, Newman's and Popov's theorems for rational approximation, characterization
of the approximation spaces of rational approximation, nonlinear n-term approximation
from bases in Hilbert spaces and from unconditional bases in Lp(p>1), greedy algorithms,
application of nonlinear approximation to image compression.**Prereq: **MATH 703

**730 — General Topology I. (3)** Topological spaces, filters, compact spaces, connected spaces, uniform spaces, complete
spaces, topological groups, function spaces.

**731 — General Topology II. (3)** Topological spaces, filters, compact spaces, connected spaces, uniform spaces, complete
spaces, topological groups, function spaces.

**732 — Algebraic Topology I. (3) **The fundamental group, homological algebra, simplicial complexes, homology and cohomology
groups, cup-product, triangulable spaces.**Prerequisite: **MATH 730 or 705, and 701

**733 — Algebraic Topology II. (3)** The fundamental group, homological algebra, simplicial complexes, homology and cohomology
groups, cup-product, triangulable spaces.**Prerequisite: **MATH 730 or 705, and 701

**734 — Differential Geometry. (3) ** Differentiable manifolds; classical theory of surfaces and hypersurfaces in Euclidean
space; tensors, forms and integration of forms; connections and covariant differentiation;
Riemannian manifolds; geodesics and the exponential map; curvature; Jacobi fields
and comparison theorems, generalized Gauss-Bonnet theorem.**Prerequisite: **MATH 550

**735 — Lie Groups. (3) ** Manifolds; topological groups, coverings and covering groups; Lie groups and their
Lie algebras; closed subgroups of Lie groups; automorphism groups and representations;
elementary theory of Lie algebras; simply connected Lie groups; semisimple Lie groups
and their Lie algebras.**Prerequisite: **MATH 705 or 730

**738 — Selected Topics in Geometry and Topology. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**741 — Algebra III. (3) ** Theory of groups, rings, modules, fields and division rings, bilinear forms, advanced
topics in matrix theory, and homological techniques.**Prerequisite:** MATH 702

**742 — Representation Theory. (3) ** Representation and character theory of finite groups (especially the symmetric group)
and/or the general linear group, Young tableaux, the Littlewood Richardson rule, and
Schur functors.**Prerequisite: ** MATH 702

**743 — Lattice Theory. (3) ** Sublattices, homomorphisms and direct products of lattices; freely generated lattices;
modular lattices and projective geometries; the Priestley and Stone dualities for
distributive and Boolean lattices; congruence relations on lattices.**Prerequisite: ** MATH 702

**744 — Matrix Theory. (3) ** Extremal properties of positive definite and hermitian matrices, doubly stochastic
matrices, totally non-negative matrices, eigenvalue monotonicity, Hadamard-Fisher
determinantal inequalities.**Prerequisite:** MATH 700

**746 — Commutative Algebra. (3) **Prime spectrum and Zariski topology; finite, integral, and flat extensions; dimension;
depth; homological techniques, normal and regular rings.**Prerequisite: ** MATH 701

**747 — Algebraic Geometry. (3) ** Properties of affine and projective varieties defined over algebraically closed fields,
rational mappings, birational geometry and divisors especially on curves and surfaces,
Bezout's theorem, Riemann-Roch theorem for curves.**Prerequisite: ** MATH 701

**748 — Selected Topics in Algebra. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**750 — Fourier Analysis. (3) ** The Fourier transform on the circle and line, convergence of Fejer means; Parseval's
relation and the square summable theory, convergence and divergence at a point; conjugate
Fourier series, the conjugate function and the Hilbert transform, the Hardy-Littlewood
maximal operator and Hardy spaces.**Prerequisite: ** MATH 703, 704

**751 — The Mathematical Theory of Wavelets. (3)** The L1 and L2 theory of the Fourier transform on the line, bandlimited functions and
the Paley-Weiner theorem, Shannon-Whittacker Sampling Theorem, Riesz systems, Mallat-Meyer
multiresolution analysis in Lebesgue spaces, scaling functions, wavelet constructions,
wavelet representation and unconditional bases, nonlinear approximation, Riesz's factorization
lemma, and Daubechies' compactly supported wavelets.**Prerequisite: ** MATH 703

**752 — Complex Analysis. (3) ** Normal families, meromorphic functions, Weierstrass product theorem, conformal maps
and the Riemann mapping theorem, analytic continuation and Riemann surfaces, harmonic
and subharmonic functions.**Prerequisite: ** MATH 703, 704

**754 — Several Complex Variables. (3) ** Properties of holomorphic functions of several variables, holomorphic mappings, plurisubharmonic
functions, domains of convergence of power series, domains of holomorphy and pseudoconvex
domains, harmonic analysis in several variables.**Prerequisite: ** MATH 703, 704

**755 — Applied Functional Analysis. (3) ** Banach spaces, Hilbert spaces, spectral theory of bounded linear operators, Fredholm
alternatives, integral equations, fixed point theorems with applications, least square
approximation.**Prerequisite: ** MATH 703

**756 — Functional Analysis I. (3 each) ** Linear topological spaces; Hahn-Banach theorem; closed graph theorem; uniform boundedness
principle; operator theory; spectral theory; topics from linear differential operators
or Banach algebras.**Prerequisite: ** MATH 704

**757 — Functional Analysis II. (3 each) ** Linear topological spaces; Hahn-Banach theorem; closed graph theorem; uniform boundedness
principle; operator theory; spectral theory; topics from linear differential operators
or Banach algebras.**Prerequisite: ** MATH 704

**758 — Selected Topics in Analysis. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**760 — Set Theory. (3)** An axiomatic development of set theory: sets and classes; recursive definitions and
inductive proofs; the axiom of choice and its consequences; ordinals; infinite cardinal
arithmetic; combinatorial set theory.

**761 — The Theory of Computable Functions. (3)** Models of computation; recursive functions, random access machines, Turing machines,
and Markov algorithms; Church's Thesis; universal machines and recursively unsolvable
problems; recursively enumerable sets; the recursion theorem; the undecidability of
elementary arithmetic.

**762 — Model Theory. (3)** First order predicate calculus; elementary theories; models, satisfaction, and truth;
the completeness, compactness, and omitting types theorems; countable models of complete
theories; elementary extensions; interpolation and definability; preservation theorems;
ultraproducts.

**768 — Selected Topics in Foundations of Mathematics. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**770 — Discrete Optimization. (3)** The application and analysis of algorithms for linear programming problems, including
the simplex algorithm, algorithms and complexity, network flows, and shortest path
algorithms. No computer programming experience required.

**774 — Discrete Mathematics I. (3)** An introduction to the theory and applications of discrete mathematics. Topics include
enumeration techniques, combinatorial identities, matching theory, basic graph theory,
and combinatorial designs.

**775 — Discrete Mathematics II. (3) ** A continuation of MATH 774. Additional topics will be selected from: the structure
and extremal properties of partially ordered sets, matroids, combinatorial algorithms,
matrices of zeros and ones, and coding theory.**Prerequisite: **MATH 774 or consent of the instructor

**776 — Graph Theory I. (3)** The study of the structure and extremal properties of graphs, including Eulerian and
Hamiltonian paths, connectivity, trees, Ramsey theory, graph coloring, and graph algorithms.

**777 — Graph Theory II. (3)** Continuation of MATH 776. Additional topics will be selected from: reconstruction
problems, independence, genus, hypergraphs, perfect graphs, interval representations,
and graph-theoretical models.**Prerequisite:**** **MATH 776 or consent of instructor

**778 — Selected Topics in Discrete Mathematics. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**780 — Elementary Number Theory. (3)** Diophantine equations, distribution of primes, factoring algorithms, higher power
reciprocity, Schnirelmann density, and sieve methods.

**782 — Analytic Number Theory I. (3) ** The prime number theorem, Dirichlet's theorem, the Riemann zeta function, Dirichlet's
L-functions, exponential sums, Dirichlet series, Hardy-Littlewood method partitions,
and Waring's problem.**Prerequisite:**** **MATH 580 and 552

**783 — Analytic Number Theory II. (3) ** The prime number theorem, Dirichlet's theorem, the Riemann zeta function, Dirichlet's
L-functions, exponential sums, Dirichlet series, Hardy-Littlewood method partitions,
and Waring's problem.**Prerequisite:** MATH 580 and 552

**784 — Algebraic Number Theory. (3) ** Algebraic integers, unique factorization of ideals, the ideal class group, Dirichlet's
unit theorem, application to Diophantine equations.**Prerequisite:** MATH 546 and 580

**785 — Transcendental Number Theory. (3) ** Thue-Siegel-Roth theorem, Hilbert's seventh problem, diophantine approximation.**Prerequisite: **MATH 580

**788 — Selected Topics in Number Theory. (3)** Course content varies and will be announced in the schedule of classes by suffix and
title.

**790 — Graduate Seminar. (1)** (Although this course is required of all candidates for the master's degree it is
not included in the total credit hours in the master's program.)**791 — Mathematics Pedagogy I (0-1) **First of two required math pedagogy courses for graduate assistants in the department. Pedagogical
topics include assessment theory, discourse, theory, lesson planning, and classroom
management. Applications assist graduate students with syllabusnesson/assessment creation,
teacher questioning, midcourse evaluations, and student learning and engagement.

**792 — Mathematics Pedagogy II (0-1) **Second of two required math pedagogy courses for graduate assistants in the department.
Pedagogical topics include student-learning and reflection theories, sociomathematical
norms, and constructivism. Applications assist graduates with lesson/revision/reflection,
student-centered investigations, curriculum problem solving and metacognition.**Prerequisites: **Satisfactory grade in MATH 791

**797 — Mathematics into Print. (3)** The exposition of advanced mathematics emphasizing the organization of proofs and
the formulation of concepts; computer typesetting systems for producing mathematical
theses, books, and articles.

**798 — Directed Readings and Research. (1-6)**

**Prerequisite:** full admission to graduate study in mathematics

**799 — Thesis Preparation. (1-9)** For master's candidates.

**890 — Graduate Seminar. (1-3)** A review of current literature in specified subject areas involving student presentations.
Content varies and will be announced in the schedule of classes by suffix and title.
Minimum of 3 credit hours required of all doctoral students. (Pass-Fail grading)

**899 — Dissertation Preparation. (1-12)** For doctoral candidates.