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2010-2011 UF Graduate Catalog (PDF Format) - Graduate School ...

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University of Florida <strong>Graduate</strong> <strong>School</strong><br />

http://test.gradschool.ufl.edu/catalog/current-catalog/FOI/MS01.htm[9/15/<strong>2010</strong> 4:07:59 PM]<br />

MAP 6375: Numerical Partial Differential Equations (3) Prereq:<br />

MAD 6406 and MAD 6407 or consent of instructor. Introduction to<br />

partial differential equations and fundamental concepts. Parabolic<br />

equations: finite differences, consistency, convergence and stability,<br />

2- and 3-dimensional problems. Elliptic equations: finite differences,<br />

solution to linear equations, boundary integral equation methods.<br />

Hyperbolic equations: finite differences and method of<br />

characteristics. Introduction to finite elements. Methods of lines.<br />

MAP 6376: Finite Element Method (3) Prereq: MAD 6406 and<br />

MAD 6407 or consent of instructor. Variational formulations of<br />

partial differential equations, finite element approximations;<br />

addresses theoretical framework and numerical issues. Finite<br />

element spaces in one, two, and three dimensions. Error analysis.<br />

Nonconforming finite element spaces. Isoparametric approximations<br />

to boundary conditions.<br />

MAP 6467: Stochastic Differential Equations and Filtering<br />

Theory I(3) Introduction to random functions; Brownian motion<br />

process. Ito's stochastic integral; Ito's stochastic calculus; stochastic<br />

differential equations. Linear filtering; Kalman filtering; nonlinear<br />

filtering theory.<br />

MAP 6468: Stochastic Differential Equations and Filtering<br />

Theory II(3) Prereq: MAP 6467.<br />

MAP 6472: Probability and Potential Theory I (3) Prereq: MAA<br />

5229 or STA 6326. Random variables, independence and<br />

conditioning. Laws of large numbers and the Central Limit Theorem.<br />

Stochastic processes, martingales, Gaussian processes, Markov<br />

processes, potentials and excessive functions.<br />

MAP 6487: Biomathematics Seminar I (3) Prereq: MAC 2312,<br />

MAP 2302, STA 6326 or MAP 4102. Stochastic processes, differential<br />

equations, and reaction-diffusion equations used to model various<br />

biological processes. Among the applications covered are the<br />

following: population dynamics, epidemiology, genetics, enzyme<br />

kinetics, cell differentiation and morphogenesis, nerve impulse<br />

generation, and aggregation of slime mold. The course is designed<br />

to benefit graduate students in biological sciences, as well as<br />

mathematics.<br />

MAP 6488: Biomathematics Seminar II (3) Prereq: MAP 6487.<br />

Continuation of MAP 6487.<br />

MAP 6505: Mathematical Methods of Physics and Engineering<br />

(3) Prereq: MAA 5404, MAP 5304, MAP 5345, MAS 5157 or<br />

equivalent. Orthogonal functions; theory of distributions; integral<br />

equations; eigenfunctions and Green's functions; special functions;<br />

boundary and initial value problems, with emphasis on potential<br />

theory (Laplace and Poisson equations); the wave equation; and the<br />

diffusion equation.<br />

MAP 6506: Mathematical Methods of Physics and Engineering<br />

II (3) Prereq: MAP 6505.<br />

MAP 6941: Internship in Applied Mathematics (1-5; max: 9)<br />

Prereq: consent of supervisory committee chair. Mathematical<br />

research on projects sponsored by a university laboratory or an offcampus<br />

industrial internship program.

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