modules

The role of the mathematician has changed significantly with the advent and increasing processing power of modern computers. This module develops the theoretical and practical skills necessary to develop and apply numerical methods of solution, using a computer package such as Matlab. Drawing on techniques learned in the first year, in this module you will analyse the underpinning mathematics and the practical coding challenges appropriate to applying them compute solutions to problems in a variety of situations. For part of the module you will work together within groups to develop and analyse your own computer models. You will study the performance of underlying algorithms and the limits to their predictive power. Specifically, you will study approximation methods for root finding, optimization, integration and solution of differential equations. The skills developed here will be useful for modules such as MTH3039 Computational Nonlinear Dynamics and more generally for coding and simulation in any application area of scientific computing. Prerequisite modules: MTH1003 or NSC1002 (Natural Science Students) or equivalent.  

Corequisite module: MTH2003 .

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}