Module Details
Module Code: |
MATH6007 |
Title: |
Business Statistics and Maths
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Long Title:
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Business Statistics and Maths
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NFQ Level: |
Fundamental |
Valid From: |
Semester 1 - 2016/17 ( September 2016 ) |
Field of Study: |
4610 - Mathematics
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Module Description: |
A practical course in Business Statistics and basic Financial Mathematics Mathematics, and in the use of appropriate statistical software such as Excel.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
# |
Learning Outcome Description |
LO1 |
Summarise raw data for presentation in tabular and graphical forms by hand and using an appropriate software package. |
LO2 |
Calculate summary statistics by hand and using an appropriate software package, and provide interpretations for such values. |
LO3 |
Perform a range of financial mathematical calculations by hand and using an appropriate software package. |
LO4 |
Calculate index numbers by hand and using Excel and provide interpretations for such indices. |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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Students should have taken an introductory course in Information Technology |
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
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No incompatible modules listed |
Co-requisite Modules
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No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
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No requirements listed |
Indicative Content |
Descriptive statistics
Measures of central tendency and measures of spread, advantages and disadvantages of each measure
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Presentation of data
Tabulation, charts and graphs, including histograms, ogives, bar charts, pie charts and time series.
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Index numbers
Calculation of simple indices and inflation/deflation using index numbers.
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Business Calculations
Calculation and interpretation of ratios, percentages, mark-up, margin, VAT calculations.
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Financial mathematics
Calculation and interpretation of compound interest, amortisations, AER and depreciation.
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Laboratory
Use of an appropriate software package such as excel to solve problems in financial Mathematics, and to support visualisation and analysis of data.
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Module Content & Assessment
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Assessment Breakdown | % |
Coursework | 100.00% |
Assessments
No End of Module Formal Examination |
Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
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The University reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
Lecture |
Every Week |
2.00 |
2 |
Lab |
Contact |
Computer practical |
Every Week |
1.00 |
1 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Independent Learning |
Every Week |
4.00 |
4 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
3.00 |
Workload: Part Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
Lecture |
Every Week |
2.00 |
2 |
Lab |
Contact |
Computer practical |
Every Week |
1.00 |
1 |
Independent Learning |
Non Contact |
Independent Learning |
Every Week |
4.00 |
4 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
3.00 |
Module Resources
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Recommended Book Resources |
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W. M. Harper. (2000), Statistics, 6REV ED. Trans-Atlantic Publications, p.501, [ISBN: 9780273634263].
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Mark L. Berenson, David M. Levine, K.A. Szabat. (2014), Basic business statistics, 13th. Pearson, [ISBN: 978-129206902].
| Supplementary Book Resources |
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Andre Francis and B. Mousley. (2014), Business Mathematics and Statistics, 7th. Cengage Learning EMA, [ISBN: 9781408083159].
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Andre Francis and B. Mousley. (2014), Business Mathematics and Statistics, 7th. Cengage Learning EMA, [ISBN: 9781408083159].
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S.Taylor. (2007), Business Statistics for Non-Mathematicians, 2nd. Macmillan, [ISBN: 9780230506466].
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S.Taylor. (2007), Business Statistics for Non-Mathematicians, 2nd. Macmillan, [ISBN: 9780230506466].
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J.O. Bird. (2014), Basic Engineering Mathematics, 6th. Routledge, London, [ISBN: 9780415662789].
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J.O. Bird. (2014), Basic Engineering Mathematics, 6th. Routledge, London, [ISBN: 9780415662789].
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J.O. Bird. (2014), Basic Engineering Mathematics, 6th. Routledge, London, [ISBN: 97800809591].
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J.O. Bird. (2014), Basic Engineering Mathematics, 6th. Routledge, London, [ISBN: 97800809591].
| This module does not have any article/paper resources |
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Other Resources |
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Website, CIT Department of Mathematics. CIT MathsOnline,
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Website, MathCentre. MathCentre,
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Website, MathCentre. MathCentre,
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