University of Vermont

cems
College of
Engineering and Mathematical Sciences

Department of Mathematics & Statistics

Graduate Courses in Mathematics (MATH)

MATH 207 - Probability Theory
Distributions of random variables and functions of random variables. Expectations, stochastic independence, sampling and limiting distributions (central limit theorems). Concepts of random number generation. Prerequisites: MATH 121; STAT 151 or STAT 153 recommended. Cross-listed with: STAT 251, BIOS 251.
Credits: 3.00
MATH 221 - Deterministic Modls Oper Rsch
The linear programming problem. Simplex algorithm, dual problem, sensitivity analysis, goal programming. Dynamic programming and network problems. Prerequisites: MATH 124; MATH 121 desirable. Cross-listed with: CSYS 221.
Credits: 3.00
MATH 222 - Stochastic Models in Oper Rsch
Development and solution of some typical stochastic models. Markov chains, queueing problems, inventory models, and dynamic programming under uncertainty. Prerequisite: MATH 207, STAT 151.
Credits: 3.00
MATH 230 - Ordinary Differential Equation
Solutions of linear ordinary differential equations, the Laplace transformation, and series solutions of differential equations. Prerequisite: MATH 121. Corequisite: MATH 124. Credit not granted for more than one of the courses MATH 230 or MATH 271.
Credits: 3.00
MATH 235 - Mathematical Models & Analysis
Techniques of Undergraduate calculus and linear algebra are applied for mathematical analysis of models of natural and human-created phenomena. Students are coached to give presentations. Prerequisites: MATH 121 and any of MATH 124, MATH 230, or MATH 271.
Credits: 3.00
MATH 236 - Calculus of Variations
Necessary conditions of Euler, Legendre, Weierstrass, and Jacobi for minimizing integrals. Sufficiency proofs. Variation and eigenvalue problems. Hamilton-Jacobi equations. Prerequisite: MATH 230.
Credits: 3.00
MATH 237 - Intro to Numerical Analysis
Error analysis, root-finding, interpolation, least squares, quadrature, linear equations, numerical solution of ordinary differential equations. Prerequisite: MATH 121, MATH 124 or MATH 271; Knowledge of computer programming.
Credits: 3.00
MATH 238 - Applied Computational Methods
Direct and iterative methods for solving linear systems; numerical solution of ordinary and partial differential equations. Focus will be on application of numerical methods. Prerequisites: MATH 121; either MATH 124 or MATH 271.
Credits: 3.00
MATH 240 - Fourier Series&Integral Trans
Fourier series, orthogonal functions, integral transforms and boundary value problems. Prerequisite: MATH 230 or MATH 271.
Credits: 3.00
MATH 241 - Anyl in Several Real Vars I
Properties of the real numbers, basic topology of metric spaces, infinite sequences and series, continuity. Prerequisites: MATH 052, MATH 121, MATH 124.
Credits: 3.00
MATH 242 - Anyl Several Real Variables II
Differentiation and integration in n-space, uniform convergence of functions, fundamental theorem of calculus, inverse and implicit function theorems. Prerequisite: MATH 241.
Credits: 3.00
MATH 251 - Abstract Algebra I
Basic theory of groups, rings, fields, homomorphisms, and isomorphisms. Prerequisite: MATH 052, MATH 124.
Credits: 3.00
MATH 252 - Abstract Algebra II
Modules, vector spaces, linear transformations, rational and Jordan canonical forms. Finite fields, field extensions, and Galois theory leading to the insolvability of quintic equations. Prerequisite: MATH 251.
Credits: 3.00
MATH 255 - Elementary Number Theory
Divisibility, prime numbers, Diophantine equations, congruence of numbers, and methods of solving congruences. Prerequisite: MATH 052 or MATH 054.
Credits: 3.00
MATH 257 - Topics in Group Theory
Topics may include abstract group theory, representation theory, classical groups, Lie groups. Prerequisite: MATH 251.
Credits: 3.00
MATH 260 - Foundations of Geometry
Geometry as an axiomatic science; various non-Euclidean geometries; relationships existing between Euclidean plane geometry and other geometries; invariant properties. Prerequisite: MATH 022 and either MATH 052 or MATH 054.
Credits: 3.00
MATH 264 - Vector Analysis
Gradient, curl and divergence, Green, Gauss, and Stokes Theorems, applications to physics, tensor analysis. Prerequisite: MATH 121, MATH 124, or MATH 271.
Credits: 3.00
MATH 266 - Chaos,Fractals&Dynamical Syst
Discrete and continuous dynamical systems, Julia sets, the Mandelbrot set, period doubling, renormalization, Henon map, phase plane analysis and Lorenz equations. Co-requisite: MATH 271 or MATH 230. Cross-listed with: CSYS 266.
Credits: 3.00
MATH 268 - Mathematical Biology&Ecology
Mathematical modeling in the life sciences. Topics include population modeling, dynamics of infectious diseases, reaction kinetics, wave phenomena in biology, and biological pattern formation. Prerequisite: MATH 124, MATH 230, or Instructor permission. Cross-listed with: CSYS 268.
Credits: 3.00
MATH 271 - Adv Engineering Mathematics
Differential equations and linear algebra, including linear ordinary differential equations, Laplace transforms, matrix theory, and systems of differential equations. Examples from engineering and physical sciences. Prerequisite: MATH 121. Credit not granted for both MATH 230 and MATH 271. No credit for Mathematics majors.
Credits: 3.00
MATH 272 - Applied Analysis
Basics of Fourier series, partial differential equations of mathematical physics, functions of a complex variable, Cauchy's theorem, integral formula. Prerequisites: MATH 230 or MATH 271.
Credits: 3.00
MATH 273 - Combinatorial Graph Theory
Paths and trees, connectivity, Eulerian and Hamiltonian cycles, matchings, edge and vertex colorings, planar graphs, Euler's formula and the Four Color Theorem, networks. Prerequisite: MATH 052 or MATH 054.
Credits: 3.00
MATH 274 - Numerical Linear Algebra
Direct and iterative methods for solving linear equations, least square factorization methods, eigenvalue computations, ill-conditioning and stability. Prerequisite: MATH 237.
Credits: 3.00
MATH 295 - Special Topics
For advanced students in the indicated fields. Lectures, reports, and directed readings on advanced topics. Credit as arranged. Offered as occasion warrants.
Credits: 1.00 to 18.00
MATH 300 - Principles of Complex Systems
Introduction to fundamental concepts of complex systems. Topics include: emergence, scaling phenomena, and mechanisms, multi-scale systems, failure, robustness, collective social phenomena, complex networks. Students from all disciplines welcomed. Pre/co-requisites: Calculus and statistics required; Linear Algebra, Differential Equations, and Computer programming recommended but not required. Cross-listed with: CSYS 300.
Credits: 3.00
MATH 303 - Complex Networks
Detailed exploration of distribution, transportation, small-world, scale-free, social, biological, organizational networks; generative mechanisms; measurement and statistics of network properties; network dynamics; contagion processes. Students from all disciplines welcomed. Pre/co-requisites: MATH 301/CSYS 301, Calculus, and Statistics required. Cross-listed with: CSYS 303.
Credits: 3.00
MATH 330 - Adv Ordinary Diff Equations
Linear and nonlinear systems, approximate solutions, existence, uniqueness, dependence on initial conditions, stability, asymptotic behavior, singularities, self-adjoint problems. Prerequisite: MATH 230.
Credits: 3.00
MATH 331 - Theory of Func of Complex Var
Differentiation, integration, Cauchy-Riemann equations, infinite series, properties of analytic continuation, Laurent series, calculus of residues, contour integration, meromorphic functions, conformal mappings, Riemann surfaces. Prerequisite: MATH 242.
Credits: 4.00
MATH 332 - Approximation Theory
Interpolation and approximation by interpolation, uniform approximation in normed linear spaces, spline functions, orthogonal polynomials. Least square, and Chebychev approximations, rational functions. Prerequisite: MATH 124, MATH 237.
Credits: 3.00
MATH 333 - Thry Functions Real Variables
The theory of Lebesgue integration, Lebesgue measure, sequences of functions, absolute continuity, properties of LP-spaces. Prerequisite: MATH 242.
Credits: 4.00
MATH 335 - Advanced Real Analysis
L2-spaces, LP-spaces; Hilbert, Banach spaces; linear functionals, linear operators; completely continuous operators (including symmetric); Fredholm alternative; Hilbert-Schmidt theory; unitary operators; Bochner's Theorem; Fourier-Plancherel, Watson transforms. Prerequisites: MATH 333.
Credits: 3.00
MATH 336 - Advanced Real Analysis
L2-spaces, LP-spaces; Hilbert, Banach spaces; linear functionals, linear operators; completely continuous operators (including symmetric); Fredholm alternative; Hilbert-Schmidt theory; unitary operators; Bochner's Theorem; Fourier-Plancherel, Watson transforms. Prerequisite: MATH 333 and MATH 335.
Credits: 3.00
MATH 337 - Numerical Diff Equations
Numerical solution and analysis of differential equations: initial-value and boundary-value problems; finite difference and finite element methods. Prerequisites: MATH 121 and MATH 124; MATH 230, MATH 271, or MATH 237 recommended.
Credits: 3.00
MATH 339 - Partial Differential Equations
Classification of equations, linear equations, first order equations, second order elliptic, parabolic, and hyperbolic equations, uniqueness and existence of solutions. Prerequisite: MATH 230; MATH 242.
Credits: 3.00
MATH 351 - Topics in Algebra
Topics will vary each semester and may include algebraic number theory, algebraic geometry, and the arithmetic of elliptic curves. Repeatable for credit with Instructor permission. Prerequisite: MATH 252.
Credits: 3.00
MATH 353 - Point-Set Topology
Topological spaces, closed and open sets, closure operators, separation axioms, continuity, connectedness, compactness, metrization, uniform spaces. Prerequisite: MATH 241.
Credits: 3.00
MATH 354 - Algebraic Topology
Homotopy, Seifert-van Kampen Theorem; simplicial, singular, and Cech homology. Prerequisite: MATH 241 or MATH 353.
Credits: 3.00
MATH 373 - Topics in Combinatorics
Topics will vary each semester and may include combinatorial designs, coding theory, topological graph theory, cryptography. Prerequisite: MATH 251 or MATH 273.
Credits: 3.00
MATH 382 - Seminar
Topical discussions with assigned reading. Required of M.S. degree candidates.
Credits: 1.00
MATH 391 - Master's Thesis Research
Credits: 1.00 to 18.00
MATH 395 - Special Topics
Subject will vary from year to year. May be repeated for credit.
Credits: 1.00 to 6.00
MATH 491 - Doctoral Dissertation Research
Credits: 1.00 to 18.00