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| Module Availability |
| Autumn |
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| Assessment Pattern |
| Unit(s) of Assessment |
Weighting Towards Module
Mark (%)
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| Courswork 1 |
20
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| Coursework 2 |
30
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| Coursework 3 |
50
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Qualifying Condition(s)
A weigthed aggregate mark of 40% is required to pass this module |
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| Module Overview |
| This module initially covers descriptive statistics and exploratory data analysis. It then covers the necessary basic mathematics topics necessary for the subsequent math module in level one. |
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| Prerequisites/Co-requisites |
| None |
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| Module Aims |
- to develop good data manipulation skills
- to develop the ability to transform economic models into mathematical format
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| Learning Outcomes |
On completion of this module students will:-
- be proficient in data presentation through computational methods
- understand the role mathematics plays in the representation and analysis of economic theory
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| Module Content |
The key topics to be covered;-
- descriptive statistics including central tendancy, dispersion, skew and indices
- mathematical foundations including linear, quadratic and simultaneous equations with economic application
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| Methods of Teaching/Learning |
| Lectures (11) and Classes (10) |
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| Selected Texts/Journals |
Lind, Marchal & Wathen. Basic Statistics for Business & Economics, 7th ed, McGraw Hill 2010.
Jacques, I, Mathematics for Economics & Business, 6th ed, Prentice-hall 2009 |
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| Last Updated |
10 March 2011 |
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