The module will introduce students to a range of mathematical techniques, which are useful in economic analysis. The aim is to deepen and extend the mathematical preparation of undergraduate students considering technical modules at Stage 3. Emphasis will be placed on a clear and rigorous presentation of the various technical concepts and their applications. The module will cover a range of relevant mathematical tools and techniques that are typically required for postgraduate study in economics.
• Matrix Algebra and Multiple Equation Systems
• Optimisation Theory
• Dynamic Models
Total contact hours: 39
Private study hours: 111
Total study hours: 150
This module is an elective for all Single and Joint Honours degree programmes in Economics.
This module is not available to students across other degree programmes in the University.
Method of assessment
20% coursework as follows:
Moodle Quiz 1 (10%)
Moodle Quiz 2 (10%)
Examination (2 hours) (80%)
Renshaw, G. (2016) Maths for Economics, 4th edition, OUP.
Chiang, A.C. & Wainwright, K. (2005) Fundamental Methods of Mathematical Economics, 4th edition, McGraw-Hill.
See the library reading list for this module (Canterbury)
By the end of this module you will be able to:
* demonstrate the ability to work with abstract mathematical concepts.
* understand the mathematical aspects of economic modelling techniques.
* formulate and solve problems in economics using a range of mathematical techniques.
* identify the range of more advanced mathematical modelling used in economics.
* use optimisation methodologies and matrix algebra.
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Credit level 5. Intermediate level module usually taken in Stage 2 of an undergraduate degree.
- ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
- The named convenor is the convenor for the current academic session.
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