Registry

Module Specifications

Archived Version 2009 - 2010

Module Title	Linear Algebra and Vectors
Module Code	MS200
School	School of Mathematical Sciences
Online Module Resources
Module Co-ordinator	Dr Michael Clancy	Office Number	X138B
Level	2	Credit Rating	5
Pre-requisite	None
Co-requisite	None

Module Aims

To give students a working knowledge of the methods of linear algebra and applications in computing.

Learning Outcomes

Students should gain the skills required to confidently solve problems using vectors and matrices.

Indicative Time Allowances
	Hours
Lectures	24
Tutorials	12
Laboratories	0
Seminars	0
Independent Learning Time	39

Total	75
Placements
Assignments

NOTE

Assume that a 5 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.

Indicative Syllabus

Systems of Linear Equations: Introduction to Systems of Linear Equations, Gaussian Elimination, Consistent and Inconsistent Systems.
Matrices: Matrices and Matrix Operation, Square Matrices, Determinants Inverses, More Systems of Linear Equation.s
Vectors: Vectors in the plane, Vectors in space, Applications to Geometry, $n$- component vectors, linear independence and bases, Gram-Schmidt Process
Linear transformations
Eigenvalues, Eigenvectors and Diagonalization.

Assessment
Continuous Assessment	25%	Examination Weight	75%

Indicative Reading List

Howard Anton, Elementary Linear Algebra.

Howard Anton and Chris Rorres, Elementary Linear Algebra, (Applications Version).

Noble and Daniels, Applied Linear Algebra.

Lee W Johnson, R. Dean Riess and Jimmy T. Arnold, Introduction to Linear Algebra.

Programme or List of Programmes

CASE

BSc in Computer Applications (Sft.Eng.)

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