LINEAR ALGEBRA - 2022/3
Module code: MAT1034
This module is an introduction to the theory and methods of Linear Algebra.
WOLF Martin (Maths)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: G130
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 101
Seminar Hours: 5
Tutorial Hours: 22
Captured Content: 22
Prerequisites / Co-requisites
The module is divided into four main parts:
- Systems of linear equations: rank and nullity of matrices, elementary row operations and row-echelon form, Gaussian elimination, solubility of linear equations;
- Vector spaces: axiomatic development of vector spaces, linear independence of vectors, basis representations of vectors, change of basis, dimension, vector subspaces;
- Linear maps: basic properties of linear maps, rank-nullity theorem, matrix representation, Cayley-Hamilton theorem, eigenvalues and eigenvectors, eigenspaces, algebraic and geometric multiplicities, diagonalisation;
- Inner product spaces: inner products, norms, Cauchy-Schwarz inequality, orthogonality, orthogonal complement, Gram-Schmidt process, orthogonal and unitary changes of basis, isometries, self-adjoint operators.
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||In-semester test (50 minutes)||25|
|Examination||Exam (2 hours)||75|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
That they have learnt the basic material in the field, and are able to apply it to examples and problems.
The summative assessment for this module consists of:
· In-Semester Test that constitutes 25% of the final mark;
· Final Examination that constitutes 75% of the final mark.
Formative assessment and feedback:
Students receive written feedback via a number of marked coursework assignments over an 11 week period. Additional verbal feedback will be provided by the lecturer or a tutor at seminars.
- The aim of this module is to extend students' knowledge of matrices, vectors and systems of linear equations and to introduce the abstract concepts of vector spaces, linear maps and inner products.
|001||Students should develop an understanding of the concepts of linear algebra, and master the basic tools needed for the qualitative and quantitative description. In particular, at the end of the module the student should be able to demonstrate a proper understanding of||KCT|
|002||Whether systems of linear equations are soluble and be able to solve such systems by means of the Gaussian elimination;||KC|
|003||The concepts of vector spaces and vector subspaces;||KC|
|004||Linear (in-)dependence of vectors, basis representations of vectors, and changes of basis;||KC|
|005||The concepts of linear maps, their matrix representations, eigenvalues and eigenvectors, and carry out matrix diagonalisation;||KC|
|006||The concepts of inner products, norms, and orthogonality and be able to orthogonalise vectors by means of the Gram-Schmidt procedure;||KC|
|007||The concept of orthogonal and unitary changes of basis;||KC|
|008||The concept of self-adjoint operators;||KC|
|009||Simple proofs similar to those covered in the module.||KCT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to provide:
- A detailed introduction to linear algebra and its application in other areas
- Experience (through demonstration) of the methods used to interpret, understand and solve problems in linear algebra
The learning and teaching methods include:
- lectures with lecture notes provided;
- seminars for guided discussion of solutions to problem sheets provided to and worked on by students in advance.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MAT1034
Programmes this module appears in
|Mathematics and Physics BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics and Physics MPhys||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics and Physics MMath||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics MMath||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics with Statistics MMath||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics with Statistics BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Financial Mathematics BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics with Music BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Economics and Mathematics BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.