LAS Supportive Courses

Draft Version
This is a DRAFT catalog for review and advising purposes. Items in this catalog draft are subject to change until the catalog for 2024-2025 academic year will be officially published on August 19th, 2024. The statements set forth in this catalog are for informational purposes only and should not be construed as the basis of a contract between a student and this institution. Should changes in a program of study become necessary, those changes will be applied liberally by the institution while the catalog is in draft mode.

MTH 501 - Topics in Applied Mathematics I (3 hours)
Theory, applications, and algorithms for basic problems of modern applied mathematics. Symmetric linear systems, minimum principles, equilibrium equations, calculus of variations, orthogonal expansions, and complex variables. Prerequisite: MTH 224 or 345.

MTH 502 - Topics in Applied Mathematics II (3 hours)
Continuation of MTH 501. Selected numerical algorithms: Fast Fourier transform, initial value problems, stability, z-transforms, and linear programming. Prerequisite: MTH 501 or consent of instructor.

MTH 510 - Numerical Methods I (3 hours)
Introduction to numerical and computational aspects of various mathematical topics: finite precision, solutions of non-linear equations, interpolation, approximation, linear systems of equations, and integration. Cross listed as CS 510. Prerequisite: CS 101; MTH 207 and 223.

MTH 511 - Numerical Methods II (3 hours)
Continuation of CS/MTH 510: further techniques of integration, ordinary differential equations, numerical linear algebra, nonlinear systems of equations, boundary value problems, and optimization. Cross listed as CS 511. Prerequisite: MTH 224 or 345; CS/MTH 510.

MTH 514 - Partial Differential Equations (3 hours)
Theory of, and solution techniques for, partial differential equations of first and second order, including the heat equation, wave equation and Laplace equation in rectangular, cylindrical, and spherical coordinates. Topics include classification of PDE in terms of order, linearity, and homogeneity; solution techniques include separation of variables, Fourier series, and integral operators; and a subset of more advanced topics such as transform methods and numerical methods. Prerequisite: MTH 224 or 345.