Course Details in

Module Title	LH Numerical Methods II
School	Mathematics
Department	Mathematics
Module Code	06 27710
Module Lead	Dr Chris Good
Level	Honours Level
Credits	10
Semester	Semester 1
Pre-requisites	LI Differential Equations - (06 25670) LI Numerical Methods & Programming - (06 25669)
Co-requisites
Restrictions	Students are prohibited from taking the M level version of this module
Exclusions
Description	This module builds upon the core numerical techniques students learned in Year 2. It further develops theoretical foundations of practical algorithms for approximating functions and data (Lagrange and Hermite interpolation, adaptive approximation), for solving systems of nonlinear equations (Newton's method and its variants, fixed-point methods), for efficient evaluation of integrals (Romberg, Gaussian, and adaptive quadratures), and for numerical solution of ordinary differential equations (Taylor series method, Runge-Kutta methods, multistep methods). Theoretical and practical aspects of numerical algorithms will be illustrated with MATLAB examples, but no programming will be required.
Learning Outcomes	By the end of the module students should be able to: Construct Lagrange and Hermite interpolants for given functions or data. Implement a range of iterative techniques for solving systems of nonlinear equations. Make an informed choice of numerical methods for evaluation of integrals, implement those methods, and assess their accuracy. Solve ordinary differential equations numerically using a range of methods.
Assessment	27710-01 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions	90% on one 1.5-hour examination; 10% from coursework and/or class tests.
Other
Reading List