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| Module Availability |
| Semester 1 |
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| Assessment Pattern |
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Assessment
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Weighting towards Module Mark (%)
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2 Hour Examination
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70
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1 Hour Assessment (Class Test)
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30
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Qualifying Condition(s)
A weighted aggregated mark of 40% is required to pass the module.
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| Module Overview |
| This module is intended to teach students the tools of Business Mathematics. |
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| Prerequisites/Co-requisites |
| None |
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| Module Aims |
| The aim is to equip students with sufficient mathematical tools to use in their L2 and L3 modules. |
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| Learning Outcomes |
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On completing Business Mathematics students will have the tools to;
· Identify and use appropriate basic mathematical tools including index numbers.
· Present and analyse data.
· Use probability techniques, recognise different distributions, make inferences and test hypotheses.
· Calculate correlations and demonstrate tools for forecasting, including linear and multiple regression and time series.
· Apply financial mathematics techniques.
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| Module Content |
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Basic numeracy, data collection and presentation, descriptive statistics, index numbers, probability, distributions, inference, hypotheses testing, correlation, time series, linear and multiple regression and financial mathematics.
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| Methods of Teaching/Learning |
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Weekly three hour contact time over 11 week teaching semester consisting of;
· One plenary lecture / week
· One tutorial / week
The plenary lectures illustrate theory, the tutorials demonstrate the practical application of such theory.
Regular exercises will be set to test students’ understanding on an on-going basis.
Assessment Strategy:
The examination and class assessment are designed to test students’ understanding of the module content.
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| Selected Texts/Journals |
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Essential
Reading
Morris, C., (2008). Quantitative Approaches in Business Studies. 7th Ed.
London : FT Prentice Hall.
All other notes and exercises will be provided by the module convenor.
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| Last Updated |
| 15/04/2011 |
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