|Module title:||Linear Algebra|
|Module lecturers:||Prof Jan Sieber|
Abstract vector spaces are important objects in linear algebra, which has its origins in solving linear equations over a field such as the rational, real or complex numbers. The elements of a vector space can be somewhat abstract: for example, they can be functions. However, it is precisely this abstraction that makes the theory of vector spaces such a powerful tool. They arise in almost every area of (pure and applied) mathematics and statistics. For example, PDEs (partial differential equations) of some types are just ODEs (ordinary differential equations) in vector spaces of functions, and numerical and data analysis methods consider vector spaces of increasing dimension to approximate function spaces.
The material in this module underpins the study of many topics in pure and applied mathematics modules at levels 3 and M.
Prerequisite module: MTH1001 (or equivalent).
Please note that all modules are subject to change, please get in touch if you have any questions about this module.