Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024 No Banner module data is available
| |||||||||||||||||||||||||||||||||||||||||
Repeat examination Array |
|||||||||||||||||||||||||||||||||||||||||
Description This module is a second course in linear algebra. In this module students will consider abstract vector spaces and linear transformations and will study the various canonical forms for matrices. The participants are expected to have a proficiency with geometric vectors and matrices. This module provides the linear algebra tools for for such courses as vector calculus and probability. Students are expected to attend lectures, participate in tutorials and take in-class tests. | |||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Give selected definitions and prove selected theorems 2. Demonstrate an understanding of the mechanics of change of basis. 3. Compute canonical forms for matrices. 4. Apply the spectral theorem for real symmetric matrices. | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
|||||||||||||||||||||||||||||||||||||||||
Indicative Content and Learning Activities
Vector spacesAbstract vector spaces and linear transformations. Rank-nullity theoremMatrix representationsCoordinates, matrix representations, similarity.ProjectionInner products, orthogonal vectors, projection, least squares.Complex matrices.Complex vector spaces and matrices, complex inner product, unitary similarity, spectral theorem.Jordan canonical formHamilton-Cayley theorem, primary decomposition, Jordan bases, Jordan forms. | |||||||||||||||||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||||||||||||||
Indicative Reading List
| |||||||||||||||||||||||||||||||||||||||||
Other Resources None | |||||||||||||||||||||||||||||||||||||||||