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MA228 Numerical Analysis

Lecturer: Markus Kirkilionis

Term(s): Term 2 (weeks 15-19)

Status for Mathematics students: List A for Maths

Commitment: 15 lectures and 3 computing assignments.

Assessment: By marks from the computing assignments

Prerequisites: MA124 Maths by Computer (MATLAB programming is absolutely essential). MA133 Differential Equations, MA134 3D Geometry and Motion.

Leads To: MA3H0 Numerical Analysis and PDEs.

Content: This module focuses on basic numerical methods for problems arising in mathematics and physics. The important concepts of iteration, convergence, accuracy and stability will be covered. Through implementation of computer algorithms, techniques studied will include Lagrange interpolation, Gaussian quadrature and solving ordinary differential equations by the Runge-Kutta method.

Aims: To introduce the approximation techniques used in tackling mathematical problems which do not yield to exact forms of analysis.

Books: Richard L. Burden and J. Douglas Faires, Numerical Analysis, 8th edition, Brooks-Cole Publishing (2004).

Additional Resources

Archived Pages: Pre-2011 2011 2012 2013 2014 2015 2016 2017

Year 1 regs and modules
G100 G103 GL11 G1NC

Year 2 regs and modules
G100 G103 GL11 G1NC

Year 3 regs and modules
G100 G103

Year 4 regs and modules

Archived Material
Past Exams
Core module averages