2019/20 Undergraduate Module Catalogue
MATH1331 Linear Algebra with Applications
15 creditsClass Size: 110
Module manager: Prof. Robert Marsh
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2019/20
Pre-requisite qualificationsA-Level Mathematics or equivalent.
This module is mutually exclusive with
|MATH1060||Introductory Linear Algebra|
This module is not approved as a discovery module
Module summaryThe module covers a variety of topics in linear algebra and discrete mathematics, with an emphasis on their application to financial problems.
ObjectivesOn completion of this module students should be able to:
(a) use Gaussian elimination to solve systems of linear equations;
(b) work with the basic concepts of linear algebra: linear independence, bases, dimension, linear independence;
(c) compute the product of matrices;
(d) compute the inverse of a specified invertible matrix; calculate the determinant of a square matrix, with numerical and algebraic entries;
(e) compute the eigenvalues and eigen vectors of a specified matrix; determine whether a specified matrix can be diagonalized;
(f) model and solve problems in linear programming;
(g) use stochastic matrices to determine the limiting behaviour of simple Markov processes.
- Linear equations: manipulation of inequalities, matrices, Gaussian elimination, linear independence, bases, dimension, linear transformations, matrix algebra, inverse matrices, determinants, eigenvalues and eigenvectors, diagonalisation.
- Linear programming: feasible sets, slack resources, the simplex method, marginal analysis.
- Theory of games: games and strategies, mixed strategies, determining optimal mixed strategies.
- Markov processes: transition matrices, stochastic matrices, regular and absorbing stochastic matrices, convergence to stable states.
|Delivery type||Number||Length hours||Student hours|
|Private study hours||112.00|
|Total Contact hours||38.00|
|Total hours (100hr per 10 credits)||150.00|
Private studyStudying and revising of course material.
Completing of assignments and assessments.
Opportunities for Formative FeedbackRegular problem solving assignments
!!! In order to pass the module, students must pass the examination. !!!
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Total percentage (Assessment Coursework)||15.00|
There is no resit available for the coursework component of this module. If the module is failed, the coursework mark will be carried forward and added to the resit exam mark with the same weighting as listed above.
|Exam type||Exam duration||% of formal assessment|
|Standard exam (closed essays, MCQs etc)||2 hr 30 mins||85.00|
|Total percentage (Assessment Exams)||85.00|
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading listThe reading list is available from the Library website
Last updated: 12/09/2019
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