This module considers the abstract theory of linear spaces together with applications to matrix algebra and other areas of Mathematics (and its applications). Since linear spaces are of fundamental importance in almost every area of mathematics, the ideas and techniques discussed in this module lie at the heart of mathematics. Topics covered will include vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalisation, orthogonality and applications.
Contact hours: 42
Private study: 108
Total: 150
Assessment 1: Best of 6 out of 8 short exercise-based assessments. Each individual assessment is equally weighted and requires on average 3 hours to complete. (40%)
Examination : 2 hours (60%)
Reassessment methods
Like-for-like
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.
The most up to date reading list for each module can be found on the university's reading list pages.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
1 demonstrate knowledge of the underlying concepts and principles associated with linear algebra;
2 demonstrate the capability to make sound judgements in accordance with the basic theories, concepts, and applications in linear algebra, whilst demonstrating a reasonable level of skill in calculation and manipulation of the material;
3 apply the underlying concepts and principles associated with linear algebra in several well-defined contexts, showing an ability to evaluate the appropriateness of different approaches to solving problems in this area.
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