Mathematical Modelling and Computation 2

Description

This course will teach students how to use Python to implement a wide range of numerical methods, including solutions to systems of linear equations, solutions of ordinary differential equations and system of differential equations, boundary value problems, approximation techniques, numerical integration, statistics, random number generation, Monte Carlo integration, and more. We will look at the theory and application of these numerical methods.

By the end of the course you should be familiar with basic numerical methods, have a reasonable understanding of the mathematics behind these methods, and be able to implement these methods using Python. You should also be able to solve (engineering) problems using these methods and be able to interpret your results in the context of the original problems.