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Graduate Studies Bulletin 2011-2012

Policies and Courses

Mathematics

Courses for Mathematics (MATH) +/-

*800P. Number and Operation for K-3 Mathematics Specialists (3 cr) Lec 3.

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

Number and operations. Place value and its role in arithmetic operations. Development of fractions and number systems. Develop the habits of mind of a mathematical thinker and to develop a depth of understanding of number and operations sufficient to enable the teacher to be a disciplinary resource for other K-3 teachers.

*800T. Mathematics as a Second Language (3 cr)

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

MATH 800T is intended for mid-level mathematics teachers.

Numbers and operations. Careful reasoning, problem solving, and communicating mathematics both orally and in writing. Connections with other areas of mathematics. Development of mathematical thinking habits.

*801P. Geometry, Measurement, and Algebraic Thinking for K-3 Mathematics Specialists (3 cr) Lec 3.

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

Polygons, polyhedra, rigid motions, symmetry, congruence, similarity, measurement in one, two and three dimensions, functions, mathematical expressions, solving equations, sequences. Develop the habits of mind of a mathematical thinker and to develop a depth of understanding of geometry, measurement and algebraic thinking to enable the teacher to be a disciplinary resource for other K-3 teachers.

*802P. Number, Geometry and Algebraic Thinking II for K-3 Math Specialists (3 cr) Lec 3.

Prereq: MATH *801P; a valid elementary or early childhood teaching certificate and permission

MATH *802P will not count toward the MA or MS degree in mathematics or statistics.

Number sense and operations in the context of rational numbers, geometry and algebra in grades 4-6 curriculum, and how the mathematical content in grades K-3 (e.g., Taylor-Cox, 2003) lays a foundation for abstract thinking beginning in grades 4 and beyond. Designed to develop a depth of understanding sufficient to enable the teacher to be a disciplinary resource to other K-3 teachers.

*802T. Functions, Algebra, and Geometry for Middle Level Teachers (3 cr)

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

MATH *802T is intended for mid-level mathematics teachers.

Variables and functions. Use of functions in problem solving. Theory of measurement, especially length, area, and volume. Geometric modeling in algebra. Graphs, inverse functions, linear and quadratic functions, the fundamental theorem of arithmetic, modular arithmetic, congruence and similarity. Ways these concepts develop across the middle level curriculum.

*804T. Experimentation, Conjecture and Reasoning (3 cr)

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

MATH *804T is intended for middle-level mathematics teachers.

Problem solving, reasoning and proof, and communicating mathematics. Development of problem solving skills through the extensive resources of the American Mathematics Competitions. Concepts of logical reasoning in the context of geometry, number patterns, probability and statistics

*805T. Discrete Mathematics for Middle Level Teachers (3 cr) Lec 3.

Prereq: Admission to the MAT-MScT program in MATH or to a graduate program in the College of Education and Human Sciences

MATH *805T is intended for mid-level mathematics teachers.

Concepts of discrete mathematics, as opposed to continuous mathematics, which extend in directions beyond, but related to, topics covered in middle-level curricula. Problems which build upon middle-level mathematics experiences. Logic, mathematical reasoning, induction, recursion, combinatorics, matrices, and graph theory.

*806T. Number Theory and Cryptology for Middle Level Teachers (3 cr)

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

MATH *806T is intended for mid-level mathematics teachers.

Basic number theory results and the RSA cryptography algorithm. Primes, properties of congruences, divisibility tests, linear Diophantine equations, linear congruences, the Chinese Remainder Theorem, Wilson’s Theorem, Fermat’s Little Theorem, Euler’s Theorem, and Euler’s phi-function. Mathematical reasoning and integers’ connections to the middle school curriculum.

807. Mathematics for High School Teachers I (3 cr)

Prereq: MATH 208 and 310

Analysis of the connections between college mathematics and high school algebra and precalculus.

*807T. Using Mathematics to Understand Our World (3 cr) Lec 3.

Prereq: Admission to the MAT-MScT program in MATH or to a graduate program in the College of Education and Human Sciences

MATH *807T is intended for middle-level mathematics teachers.

The mathematics underlying several socially-relevant questions from a variety of academic disciplines. Construct mathematical models of the problems and study them using concepts developed from algebra, linear and exponential functions, statistics and probability. Original documentation, such as government data, reports and research papers, in order to provide a sense of the role mathematics plays in society, both past and present.

808. Mathematics for High School Teachers II (3 cr)

Prereq: MATH 310 and 350

Analysis of the connections between college mathematics and high school algebra and geometry.

*808T. Concepts of Calculus for Middle-Level Teachers (3 cr) Lec 3.

Prereq: Admission to the MAT-MScT program in MATH or to a graduate program in the College of Education and Human Sciences

MATH *808T is intended for middle-level mathematics teachers.

The processes of differentiation and integration, their applications and the relationship between the two processes. Rates of change, slopes of tangent lines, limits, derivatives, extrema, derivatives of products and quotients, anti-derivatives, areas, integrals, and the Fundamental Theorem of Calculus. Connections to concepts in the middle level curriculum.

*810T. Algebra for Algebra Teachers (3 cr) Lec 3.

Prereq: Admission to the MAT or MScT program in mathematics or to a graduate program in the College of Education and Human Sciences

The integers. The Euclidean algorithm, the Fundamental Theorem of Arithmetics, and the integers mod n. Polynomials with coefficients in a field. The division algorithm, the Euclidean algorithm, the unique factorization theorem, and its applications. Polynomials whose coefficients are rational, real or complex. Polynomial interpolation. The habits of mind of a mathematical thinker. The conceptual underpinnings of school algebra.

814. Applied Linear Algebra (Matrix Theory) (3 cr)

Prereq: MATH 208 or 107H

A term paper and/or special project is required for graduate credit in MATH 814. MATH 814 is not open to MA or MS students in mathematics. Students in the sciences cannot count MATH 814 toward a minor in mathematics.

Similarity of matrices, diagonalization of symmetric matrices, canonical forms, eigenvalues, quadratic forms, vectors, and applications to linear systems.

815. Theory of Linear Transformations (3 cr) Lec 3.

Prereq: MATH 314/814 and either MATH 325 or MATH 310

Topics fundamental to the study of linear transformations on finite and infinite dimensional vector spaces over the real and complex number fields including: subspaces, direct sums, quotient spaces, dual spaces, matrix of a transformation, adjoint map, invariant subspaces, triangularization and diagonalization. Additional topics may include: Riesz Representation theorem, projections, normal operators, spectral theorem, polar decomposition, singular value decomposition, determinant as an n-linear functional, Cayley-Hamilton theorem, nilpotent operators, and Jordan canonical form.

*817. Introduction to Modern Algebra I (3 cr) Lec 3.

Prereq: MATH 417

Topics from elementary group theory and ring theory, including fundamental isomorphism theorems, ideals, quotient rings, domains. Euclidean or principal ideal rings, unique factorization, modules and vector spaces including direct sum decompositions, bases, and dual spaces.

*818. Introduction to Modern Algebra II (3 cr)

Prereq: MATH 817

Topics from field theory including Galois theory and finite fields and from linear transformations including characteristic roots, matrices, canonical forms, trace and transpose, and determinants.

821. Differential Equations (3 cr)

Prereq: A grade of “P” or “C” or better in MATH 208

MATH 821 is not open to MA or MS students in mathematics. Students in the sciences cannot count MATH 821 toward a minor in mathematics.

First- and second-order methods for ordinary differential equations including: separable, linear, Laplace transforms, linear systems, and some applications.

822. Advanced Calculus (3 cr)

Prereq: MATH 208 or 107H

A term paper and/or special project is required for graduate credit in MATH 822. Credit in MATH 822 will not count towards the MA or MS degree in mathematics. Students in the sciences cannot count MATH 822 toward a minor in mathematics.

Green’s theorem, Stokes’ theorem, the divergence theorem, and applications from differential and integral vector calculus, line integrals, general coordinate transformations, inverse function theorem, and uniform convergence of sequences and series of functions.

823. Introduction to Complex Variable Theory (3 cr)

Prereq: MATH 208 or 107H

Introductory course for engineering, physical sciences, and mathematics majors. Complex numbers, functions of complex variables, complex integration, calculus of residues, infinite series, conformal mapping, Schwarz-Christoffel transformation, Poisson’s integral formula, and applications of the above.

824. Introduction to Partial Differential Equations (3 cr)

Prereq: MATH 821

Credit in MATH 824 will not count towards the MA or MS degree in mathematics.

Derivation of the heat, wave, and potential equations; separation of variables method of solution; solutions of boundary value problems by use of Fourier series, Fourier transforms, eigenfunction expansions with emphasis on the Bessel and Legendre functions; interpretations of solutions in various physical settings.

*825. Mathematical Analysis I (3 cr) Lec 3.

Prereq: MATH 325

Real number system, topology of Euclidean space and metric spaces, continuous functions, derivatives and the mean value theorem, the Riemann and Riemann-Stieltjes integral, convergence, the uniformity concept, implicit functions, line and surface integrals.

*826. Mathematical Analysis II (3 cr) Lec 3.

Prereq: MATH 825

Real number system, topology of Euclidean space and metric spaces, continuous functions, derivatives and the mean value theorem, the Riemann and Riemann-Stieltjes integral, convergence, the uniformity concept, implicit functions, line and surface integrals.

827. Mathematical Methods in the Physical Sciences (3 cr)

Prereq: MATH 821

Credit in MATH 827 will not count towards the MA or MS degree in mathematics.

Matrix operations, transformations, inverses, orthogonal matrices, rotations in space. Eigenvalues and eigenvectors, diagonalization, applications of diagonalization. Curvilinear coordinate systems, Jacobians, changes of variables in multiple integration. Scalar, vector and tensor fields, tensor operations, applications of tensors. Complex function theory, integration by residues, conformal mappings.

828. Principles of Operations Research (3 cr)

Prereq: MATH 814 or permission and STAT 880 or IMSE 321 or equivalent

Introduction to techniques and applications of operations research. Includes linear programming, queueing theory, decision analysis, network analysis, and simulation.

*830. Ordinary Differential Equations I (3 cr) Lec 3.

Prereq: MATH 325

The Picard existence theorem, linear equations and linear systems, Sturm separation theorems, boundary value problems, phase plane analysis, stability theory, limit cycles and periodic solutions.

*831. Ordinary Differential Equations II (3 cr) Lec 3.

Prereq: MATH 830

The Picard existence theorem, linear equations and linear systems, Sturm separation theorems, boundary value problems, phase plane analysis, stability theory, limit cycles and periodic solutions.

832. Linear Optimization (3 cr)

Prereq: MATH 814

Mathematical theory of linear optimization, convex sets, simplex algorithm, duality, multiple objection linear programs, formulation of mathematical models.

833. Nonlinear Optimization (3 cr)

Prereq: MATH 814

Mathematical theory of constrained and unconstrained optimization, conjugate direction and quasi-Newton methods, convex functions, Lagrange multiplier theory, constraint qualifications.

838. Mathematical Methods for Biology and Medicine (5 cr) Lec, rec.

Prereq: Grade of P, C, or better in MATH 106 or 106B

MATH 838 is not open to MA or MS degree students in MATH or STAT.

Some computation and visualization will be done with Matlab. Mathematical modeling, discrete and continuous probability, parameter estimation, discrete and continuous dynamical systems, and Markov chains. Application of mathematical models in the life sciences. Regression analysis, cobweb diagrams, the phase line, nullcline analysis, eigenvalue analysis, linearization, and likelihood analysis. Applications to fisheries, stage-structured populations, pharmacokinetics, epidemiology, and medical testing.

839. Mathematical Models in Biology (3 cr)

Prereq: MATH 107

MATH 839 has a small laboratory component.

Discrete and continuous models in ecology, including population models, predation and food webs, the spread of infectious disease and life histories. Probability and Random processes in nature, elementary models for molecular events and pharamacokinetics.

840. Numerical Analysis I (CSCE 840) (3 cr) Lec 3.

Prereq: CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, or CSCE 155T; MATH 107

Credit toward the degree may be earned in only one of the following: CSCE 340/840/MATH 340/840 and ENGM 480/880.

Algorithm formulation for the practical solution of problems, interpolation, roots of equations, differentiation, and integration. Effects of finite precision.

841. Approximation of Functions (CSCE 841) (3 cr) Lec 3.

Prereq: A programming language, MATH 821 and 814

Uniform approximation, orthogonal polynomials, least-first-power and least squares approximation, polynomial interpolation and spline interpolation, approximation interpolation by rational functions, and Fourier series.

*842. Methods of Applied Mathematics I (3 cr)

Prereq: MATH 821 and 814, or their equivalents

Interdependence between mathematics and the physical and applied sciences. Includes the calculus of variations, scaling and dimensional analysis, regular and singular perturbation methods.

*843. Methods of Applied Mathematics II (3 cr)

Prereq: MATH 842 or permission

Application of partial differential equation models to problems in the physical and applied sciences. Includes derivation of partial differential equations, the theory of continuous media, linear and nonlinear wave propagation, diffusion, transform methods, and potential theory.

845. Introduction to the Theory of Numbers (3 cr) Lec 3.

Prereq: MATH 310

Arithmetic functions, congruencies, reciprocity theorem, primitive roots, diophantine equations, and continued fractions.

847. Numerical Analysis II (CSCE 847) (3 cr) Lec 3.

Prereq: CSCE 340, MATH 814 and 821

Numerical matrix methods and numerical solutions of ordinary differential equations.

*850. Discrete Mathematics I (3 cr) Lec 3.

Prereq: MATH 310 or 325

Enumeration of standard combinatorial objects (subsets, partitions, permutations). Structure and existence theorems for graphs and sub-graphs. Selected classes of error-correcting codes. Extremal combinatorics of graphs, codes, finite sets and posets.

*852. Discrete Mathematics II (3 cr) Lec 3.

Prereq: MATH *850

Enumeration of standard combinatorial objects (subsets, partitions, permutations). Structure and existence theorems for graphs and sub-graphs. Selected classes of error-correcting codes. Extremal combinatorics of graphs, codes, finite sets and posets.

*856. Differential Geometry I (3 cr) Lec 3

Prereq: MATH 221/821, 314/814, and 322/822

Introduction to a selection of topics in modern differential manifolds, vector bundles, vector fields, tensors, differential forms, Stoke's theorem, Riemannian and semi-Riemannian metrics, Lie Groups, connections, singularities. Includes gauge field theory, catastrophe theory, general relativity, fluid flow.

*858. Topics in Geometry (3 cr)

Prereq: MATH 208

Selected topics in some branch of geometry.

865. Introduction to Mathematical Logic (3 cr) Lec 3.

Semantical and syntactical developments of propositional logic, discussion of several propositional calculi, applications to Boolean algebra and related topics, semantics and syntax of first-order predicate logic including Godel’s completeness theorem, the compactness theorem.

*871. General Topology I (3 cr)

Prereq: 6 hrs MATH beyond MATH 208

Set theory, topological spaces, continuity, connectedness, coverings, separation axioms, product and quotient spaces, and sequences, nets, and filter bases.

*872. General Topology II (3 cr)

Prereq: 6 hrs MATH beyond MATH 208

For course description, see MATH *871.

*874M. Mathematics Integration (2-3 cr)

MATH *874M may be counted towards the MAT and MScT degrees in mathematics and statistics, not the MA, MS, or PhD.

887. Probability Theory (3 cr) Lec 3.

Prereq: MATH 314 and MATH 325

Probability, conditional probability, Bayes’ theorem, independence, discrete and continuous random variables, density and distribution functions, multivariate distributions, probability and moment generating functions, the central limit theorem, convergence of sequences of random variables, random walks, Poisson processes, and applications.

889. Stochastic Processes and Advanced Mathematical Finance (3 cr) Lec 3.

Prereq: MATH 221/821 and/or STAT/MATH 380

Properties of stochastic processes and solutions of stochastic differential equations as a means for understanding modern financial instruments. Derivation and modeling of financial instruments, advanced financial models, advanced stochastic processes, partial differential equations, and numerical methods from probabilistic point of view.

896. Seminar in Mathematics (1-3 cr per sem, max 6)

Prereq: Permission

*897. Reading Course (1-4 cr) Lec.

*899. Masters Thesis (6-10 cr)

Prereq: Admission to masters degree program and permission of major adviser

901. Algebra I (3 cr)

Prereq: MATH 818 or permission

In-depth treatment of groups, rings, modules, algebraic field extensions, Galois theory, multilinear products, categories.

902. Algebra II (3 cr)

Prereq: MATH 818 or permission

In-depth treatment of groups, rings, modules, algebraic field extensions, Galois theory, multilinear products, categories.

905. Commutative Algebra (3 cr)

Prereq: MATH 818 or permission

Selected topics from classical ideal theory, Dedekind rings, completions, local rings, valvation theory.

909. Theory of Semigroups (3 cr)

Prereq: MATH 818 or permission

Selected topics from semigroups of transformations, ideal structure and homomorphisms, free semigroups, inverse semigroups, matrix representation, decompositions and extensions.

911. Theory of Groups (3 cr)

Prereq: MATH 818 or permission

Selected topics from isomorphism theorems, direct sums, abelian and p-groups, solvable, nilpotent and free groups, group extensions, permutation groups, representation and classification theory.

913. Introduction to the Theory of Rings (3 cr)

Prereq: MATH 818

Elementary ring theory and examples of rings, the Jacobson radical and the structure of semi-simple rings, rings with minimum condition, Wedderburn’s theorem, structure of modules.

915. Homological Algebra (3 cr)

Prereq: MATH 902 or permission

Basic topics in homological algebra, including homology of complexes, extensions, tensor and torsion products and homological dimension, with application to rings and algebras.

918. Topics in Algebra (3 or 6 cr, max 18) Lec.

921. Real Analysis I (3 cr)

Prereq: MATH 818, 826, and 871 or permission

Semicontinuity, equicontinuity, absolute continuity, metric spaces, compact spaces, Ascoli’s theorem, Stone Weierstrass theorem, Borel and Lebesque measures, measurable functions, Lebesque integration, convergence theorems, Lp spaces, general measure and integration theory, Radon-Nikodyn theorem, Fubini theorem, Lebesque-Stieltjes integration.

922. Real Analysis II (3 cr)

Prereq: MATH 818, 826, and 871 or permission

Semicontinuity, equicontinuity, absolute continuity, metric spaces, compact spaces, Ascoli’s theorem, Stone Weierstrass theorem, Borel and Lebesque measures, measurable functions, Lebesque integration, convergence theorems, Lp spaces, general measure and integration theory, Radon-Nikodyn theorem, Fubini theorem, Lebesque-Stieltjes integration.

923. Topics in Analysis (3 or 6 cr, max 18) Lec.

924. Theory of Analytic Functions I (3 cr each)

Prereq: MATH 826 or permission

Complex number field, elementary functions, analytic functions, conformal mapping, integration and calculus of residues, entire and meromorphic functions, higher transcendental functions, Riemann surfaces.

925. Theory of Analytic Functions II (3 cr each)

Prereq: MATH 826 or permission

Complex number field, elementary functions, analytic functions, conformal mapping, integration and calculus of residues, entire and meromorphic functions, higher transcendental functions, Riemann surfaces.

927. Asymptotic Methods in Applied Mathematics (3 cr)

Methods for approximating the solutions of differential equations, including local analysis near singular points, singular perturbation methods, boundary layer theory, WKB Theory, and multiple-scale methods. Asymptotic expansion of Laplace and Fourier integrals. Illustration of the use of asymptotics from journals in mathematics, science, and engineering.

928. Functional Analysis I (3 cr)

Prereq: MATH 818 and 921, or permission

Banach and Hilbert Spaces, linear operators and functionals, completely continuous operators, spectral theory, integral equations.

929. Functional Analysis II (3 cr)

Prereq: MATH 818 and 921, or permission

Banach and Hilbert Spaces, linear operators and functionals, completely continuous operators, spectral theory, integral equations.

932. Advanced Ordinary Differential Equations I (3 cr)

Prereq: MATH 826 or permission

Cauchy-Peano existence theorems, continuity and differentiability of solutions with respect to initial conditions, differential inequalities, uniqueness theorem, oscillation theory, Poincare-Bendixson theory, stability theory, almost periodic solutions.

933. Advanced Ordinary Differential Equations II (3 cr)

Prereq: MATH 826 or permission

Cauchy-Peano existence theorems, continuity and differentiability of solutions with respect to initial conditions, differential inequalities, uniqueness theorem, oscillation theory, Poincare-Bendixson theory, stability theory, almost periodic solutions.

934. Topics in Differential Equations (3 or 6 cr, max 18) Lec.

935. Advanced Methods in Applied Mathematics I (3 cr)

Prereq: MATH 821 and 826

Banach and Hilbert spaces, operator theory with application to differential and integral equations; spectral theory for compact, self-adjoint operators.

936. Advanced Methods in Applied Mathematics II (3 cr)

Prereq: MATH 935 or permission

Distributions, Green’s functions and boundary value problems; integral transforms and spectral representations.

937. Nonlinear Partial Differential Equations (3 cr)

Prereq: MATH 843 or 941 or permission

Nonlinear wave propagation and shock structure with applications, dispersive waves, hyperbolic systems, group velocity and the method of stationary phase. WKB approximation and perturbation methods.

938. Mathematical Modeling (3 cr)

Prereq: MATH 842, 843 and permission

Advanced course in mathematical modeling for students who desire experience in formulating and analyzing open-ended, real-world problems in the natural and applied sciences. Participation in a few group projects that require conceptualization and analytical, numerical, and graphical analysis with formal oral and written presentation of the results.

939. Topics in Applied Mathematics (3 or 6 cr, max 18) Lec.

941. Partial Differential Equations (3 cr)

Prereq: MATH 826

Theory of hyperbolic, elliptic, and parabolic equations. Classification, existence and uniqueness result, solution representations.

942. Numerical Analysis III (CSCE 942) (3 cr)

Prereq: CSCE/MATH 840 or 841 or 847 or permission

Advanced topics in numerical analysis.

953. Algebraic Geometry (3 cr)

Prereq: MATH 901-902

Affine geometry, coordinate rings, the Zariski topology, function fields and birational geometry, the Nullstellensatz, Krull dimension and transcendence degree, smoothness, projective geometry, divisors, curves.

958. Topics in Discrete Mathematics (3 or 6 cr, max 18) Lec.

990. Topics in Topology (3 or 6 cr, max 18) Lec.

995. Research Seminar (1-3 cr, max 6) Lec.

996. Seminar (1-3 cr per sem, max 6)

Advanced topics in one or more branches of mathematics.

997. Reading course (1-24 cr)

999. Doctoral Dissertation (1-24 cr)

Prereq: Admission to doctoral degree program and permission of supervisory committee chair

Description

For a brief description of the program, application requirements and contact information, view the graduate program summary.

Department Chair: Judy Walker, Ph.D.

Graduate Committee Chair: Susan Hermiller, Ph.D.

Graduate work is offered leading to the degrees of doctor of philosophy (PhD), master of arts (MA), master of science (MS), master of arts for teachers (MAT), and master of science for teachers (MScT).

Master of Arts (MA) or Master of Science (MS) Degree.

The program of study for the masters degree may be under any of the Options I, II, III. Under Option II, a candidate for the MA or MS degree may select a minor consisting of courses taken in another department approved to offer a masters degree.

For admission to full graduate standing a student should have the substantial equivalent of an undergraduate major in mathematics and possess an academic record that would indicate definite potential for graduate-level work.

Master of Arts or Master of Science for Teachers (MAT-MScT).

The MAT/MScT degree is designed for teachers who want to obtain graduate education in mathematics that is especially appropriate to their needs as mathematics teachers. Special courses or sections of courses bearing a “T” designation are offered specifically for persons in the program. The Department admits students to two programs leading to the MAT/MScT degree. One is for high school teachers. For that program, a completed calculus sequence, a course in modern algebra, and two other courses beyond calculus are required for admission. The other program is for middle-level mathematics teachers and leads to a masters degree with a Specialization in the Teaching of Middle-Level Mathematics. For both programs, the possession of a valid teaching certificate is a prerequisite to the award of the degree.

Doctor of Philosophy Degree.

Doctoral candidates will find departmental strengths in many areas of mathematics. A student may be admitted to the PhD program either initially, as for the masters program, or after completion of a masters degree. To become a Candidate for the PhD degree the student must pass written qualifying examinations and a comprehensive examination that is determined by the student's supervisory committee. There is also a foreign language requirement but the supervisory committee can request a waiver in many situations. The degree is awarded as recognition of high attainment in scholarship and for demonstrated power of independent research. An interdisciplinary PhD program in Mathematics and Computer Science is also offered.

Specific details on any of the advanced degree programs can be obtained from the Chair of the Graduate Committee.

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