Module Details

Module Code: MATH6057
Title: IS Maths & Statistics
Long Title: IS Maths & Statistics
NFQ Level: Fundamental
Valid From: Semester 1 - 2017/18 ( September 2017 )
Duration: 1 Semester
Credits: 5
Field of Study: 4610 - Mathematics
Module Delivered in: 1 programme(s)
Module Description: A first course in Mathematics and Statistics for Business Information Systems.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Perform all manner of arithmetic calculations.
LO2 Manipulate a variety of algebraic expressions, transpose formulae, and solve equations.
LO3 Use propositional logic to express statements and logical inference to determine the validity of arguments.
LO4 Represent and interpret statistical data graphically.
LO5 Choose, use and interpret summary statistics.
LO6 Use appropriate software in the solution of problems in Business Mathematics and Statistics.
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).
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.
No incompatible modules listed
Co-requisite Modules
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.
No requirements listed
 
Indicative Content
Business Mathematics
Order of operations. Fractions, decimals, percentages, ratio, indices. Approximation. Applications to the business context such as Percentage increase/decrease, profit/loss. Break even analysis. Currency Conversion. Simple Index and Chain Index Numbers. Inflation. Compound interest and depreciation.
Fundamentals of Algebra and Functions
Variables. Simplification and evaluation of algebraic expressions, including examples from the business domain. Transposition of formulae. Solution of equations. Function notation. Graphing of elementary functions.
Introduction to Logic
Propositions, logical connectives, truth tables. Compound propositions, logical equivalence, laws of logic including De Morgan’s Laws. Introduction to rules of inference and valid arguments.
Descriptive Statistics
Data collection, organisation, and analysis. Primary and secondary data. Qualitative and quantitative data. Ordinal and non-ordinal data. Frequency Tables and Distributions. Visualisation - bar charts, stem and leaf, histograms, ogives.
Summary Statistics
Summary Statistics Measures of central tendency - mean, mode, median. Measures of spread - range, interquartile range, standard deviation. Skewness. Kurtosis. Measures of location to include mean, median and mode. Measures of dispersion to include range, interquartile range, mean and standard deviation.
Mathematics and Statistics Laboratory Programme
Use of appropriate software packages (Geogebra, Wolfram Alpha, Excel) to support theory.
Module Content & Assessment
Assessment Breakdown%
Coursework30.00%
End of Module Formal Examination70.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 20
Timing Every Second Week Learning Outcomes 1,2,3,4,5
Assessment Description
Series of in class tests during the semester
Assessment Type Practical/Skills Evaluation % of Total Mark 10
Timing Week 12 Learning Outcomes 1,2,4,5,6
Assessment Description
Lab assessment
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 70
Timing End-of-Semester Learning Outcomes 1,2,3,4,5
Assessment Description
End-of-Semester Final 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.

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 3.00 3
Tutorial Contact Questions and answers on lecture material, homework and tutorial sheets Every Second Week 0.50 1
Lab Contact Mathematics/Statistics Computer Laboratory Every Second Week 0.50 1
Independent & Directed Learning (Non-contact) Non Contact Independent learning in relation to arithmetic and algebra Every Week 1.00 1
Independent & Directed Learning (Non-contact) Non Contact Review of module content, completion of exercise sheets Every Week 2.00 2
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Lecture Every Week 2.00 2
Tutorial Contact Questions and answers on lecture material, homework and tutorial sheets Every Second Week 0.50 1
Lab Contact Mathematics/Statistics Computer Laboratory Every Second Week 0.50 1
Independent Learning Non Contact Independent learning in relation to arithmetic and algebra Every Week 1.00 1
Independent Learning Non Contact Review of module content, completion of exercise sheets Every Week 3.00 3
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Tadhg L.O'Shea. (2012), Essential Statistics for Researchers, Treoraí Publications, [ISBN: 9780957505902].
Supplementary Book Resources
  • Jon Curwin and Roger Slater. (2008), Quantitative Methods for Business Decisions, 6th. Thompson Learning, London, [ISBN: 978-1844805747].
  • Andre Francis. (2004), Business Mathematics and Statistics, 6th. Thomson Business Press, [ISBN: 978-1844801282].
  • J.D Cryer, B.F. Ryan & B.L. Joiner. (2013), Minitab Handbook, 6th. Cengage, [ISBN: 1285175026].
  • Mark L. Berenson, David M. Levine, Timothy C. Krehbiel. (2011), Basic Business Statistics: Concepts and Applications, 12th. [ISBN: 978-013216838].
  • Mark L. Berenson, David M. Levine, Timothy C. Krehbiel. (2015), Basic Business Statistics Plus NEW MyStatLab with Pearson eText -- Access Card Package, 13th. Pearson, [ISBN: 9780321870025].
  • Sarah-Marie Belcastro. (2012), Discrete Mathematics with Ducks, CRC Press, [ISBN: 9781466504998].
  • Kenneth H.Rosen, Adapted by Kamala Krithivasan. (2013), Discrete Mathematics and Its Applications, 7th. McGraw Hill, [ISBN: 9780071315012].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_BBISY_8 Bachelor of Business (Honours) in Information Systems 2 Mandatory