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This course is a mathematical introduction to probability theory, covering random variables, moments, multivariate distributions, law of large numbers, central limit theorem, and large deviations.
Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.
This course will cover important topics in linear algebra not usually discussed in a first-semester course, featuring a mixture of theory and applications.
Mathematical logic and proof, mathematical induction, counting methods, recurrence relations, algorithms and complexity, graph theory and graph algorithms.
An introduction to proofs in advanced mathematics, intended as a transition to upper division courses including MATH 4107, 4150 and 4317.
Fourier series, Fourier integrals, boundary value problems for partial differential equations, eigenvalue problems
A broad introduction to the local and global behavior of nonlinear dynamical systems arising from maps and ordinary differential equations.
The theory of curves, surfaces, and more generally, manifolds. Curvature, parallel transport, covariant differentiation, Gauss-Bonet theorem
Point set topology, topological spaces and metric spaces, continuity and compactness, homotopy and covering spaces
Method of characteristics for first and second order partial differential equations, conservation laws and shocks, classification of second order systems and applications.
Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000