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This course will cover important topics in linear algebra not usually discussed in a first-semester course, featuring a mixture of theory and applications.
An introduction to proofs in advanced mathematics, intended as a transition to upper division courses including MATH 4107, 4150 and 4317.
Mathematical logic and proof, mathematical induction, counting methods, recurrence relations, algorithms and complexity, graph theory and graph algorithms.
Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.
This course provides students with a broad exposure to areas of mathematics research through weekly speakers.
Pass/Fail basis. This course is intended to teach general mathematical problem solving skills, and to prepare students to take the Putnam Examination.
This course is a problem oriented introduction to the basic concepts of probability and statistics, providing a foundation for applications and further study.
Scientific computational algorithms on vector and parallel computers. Speedup, algorithm complexity, interprocesses communication, synchronization, modern algorithms for linear systems, programming techniques, code optimization.
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.
Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000