MATH 535 Computational Methods in Mathematics and Statistics
Computational, numerical, and visualization methods in Mathematics and Statistics will be the major theme of this course with emphasis on the usage of a programming language. Relevant topics may include: In-depth coverage of Fourier Transforms and Fast Fourier Transforms, Euler's Method and Method of Frobenius for ODEs, Finite Element Method and Spectral Method for PDEs; Exploratory data analysis, Simulation of random variables and Monte Carlo methods, Estimation, Bootstrap, and Bayesian methods. Graduate students will be assigned special topics for additional reading.
Cross Listed Courses
MATH 435 & MATH 535