The module aims to provide an understanding of the basis of numerical computation and its connection to other subjects. It also enables students to use numerical methods in solving mathematical problems.
A. Apply numerical methods in a number of different contexts.
B. Solve systems of linear and nonlinear algebraic equations to specified precision.
C. Compute eigenvalues and eigenvectors by the power method.
D. Solve boundary value and initial problems to finite precision.
E. Develop quadrature methods for numerical integration.
The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments.
This module will be delivered by a combination of formal lectures, seminars and tutorials.