Numerical Methods for Computational Science

3 credits · Graduate

In computational molecular science, numerical methods are essential for solving mathematical problems that are too complex for analytical solutions. Using Python and its scientific libraries as a tool, this course covers the key numerical methods required for computational science from the following core mathematical areas: Linear Algebra, Calculus, Probability and Statistics, and Numerical Analysis.