Linear Algebra 2 (G5138)
15 credits, Level 4
Spring teaching
During Linear Algebra 2, you will learn about:
- vectors spaces
- subspaces
- bases
- inner products
- linear transformations.
- rank/nullity
- matrices of linear maps
- change of basis
- eigenvalues/eigenvectors
- jordan normal form
- diagonalisation
- special classes of linear transformations and their matrices.
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We鈥檙e planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.
We鈥檒l make sure to let you know of any material changes to modules at the earliest opportunity.
Courses
This module is offered on the following courses:
- Data Science (with an industrial placement year) BSc
- Data Science BSc
- Mathematics (research placement) MMath
- Mathematics BSc
- Mathematics MMath
- Mathematics with Data Science BSc
- Mathematics with Data Science MMath
- Mathematics with Economics BSc
- Mathematics with Economics MMath
- Mathematics with Finance BSc
- Mathematics with Finance MMath