Title:  IS Maths & Statistics 
Long Title:  IS Maths & Statistics 
Field of Study: 
Mathematics

Valid From: 
Semester 1  2017/18 ( September 2017 ) 
Module Coordinator: 
David Goulding 
Module Author: 
AINE NI SHE 
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: 
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. 
Prerequisite learning 
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 CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s). 
No recommendations listed 
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 
Corequisite Modules

No Corequisite 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 
Corequisites

No Co Requisites listed 
Module Content & Assessment
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 nonordinal 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.

Assessment Breakdown  % 
Course Work  30.00% 
End of Module Formal Examination  70.00% 
Course Work 
Assessment Type 
Assessment Description 
Outcome addressed 
% of total 
Assessment Date 
Short Answer Questions 
Series of in class tests during the semester 
1,2,3,4,5 
20.0 
Every Second Week 
Practical/Skills Evaluation 
Lab assessment 
1,2,4,5,6 
10.0 
Week 12 
End of Module Formal Examination 
Assessment Type 
Assessment Description 
Outcome addressed 
% of total 
Assessment Date 
Formal Exam 
EndofSemester Final Examination 
1,2,3,4,5 
70.0 
EndofSemester 
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 institute reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time 
Workload Type 
Workload Description 
Hours 
Frequency 
Average Weekly Learner Workload 
Lecture 
Lecture 
3.0 
Every Week 
3.00 
Tutorial 
Questions and answers on lecture material, homework and tutorial sheets 
1.0 
Every Second Week 
0.50 
Lab 
Mathematics/Statistics Computer Laboratory 
1.0 
Every Second Week 
0.50 
Independent & Directed Learning (Noncontact) 
Independent learning in relation to arithmetic and algebra 
1.0 
Every Week 
1.00 
Independent & Directed Learning (Noncontact) 
Review of module content, completion of exercise sheets 
2.0 
Every Week 
2.00 
Total Hours 
8.00 
Total Weekly Learner Workload 
7.00 
Total Weekly Contact Hours 
4.00 
Workload: Part Time 
Workload Type 
Workload Description 
Hours 
Frequency 
Average Weekly Learner Workload 
Lecture 
Lecture 
2.0 
Every Week 
2.00 
Tutorial 
Questions and answers on lecture material, homework and tutorial sheets 
1.0 
Every Second Week 
0.50 
Lab 
Mathematics/Statistics Computer Laboratory 
1.0 
Every Second Week 
0.50 
Independent Learning 
Independent learning in relation to arithmetic and algebra 
1.0 
Every Week 
1.00 
Independent Learning 
Review of module content, completion of exercise sheets 
3.0 
Every Week 
3.00 
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 Ed., Thompson Learning London [ISBN: 9781844805747]
 Andre Francis 2004, Business Mathematics and Statistics, 6th Ed., Thomson Business Press [ISBN: 9781844801282]
 J.D Cryer, B.F. Ryan & B.L. Joiner 2013, Minitab Handbook, 6th Ed., Cengage [ISBN: 1285175026]
 Mark L. Berenson, David M. Levine, Timothy C. Krehbiel 2011, Basic Business Statistics: Concepts and Applications, 12th Ed. [ISBN: 978013216838]
 Mark L. Berenson, David M. Levine, Timothy C. Krehbiel 2015, Basic Business Statistics Plus NEW MyStatLab with Pearson eText  Access Card Package, 13th Ed., Pearson [ISBN: 9780321870025]
 SarahMarie Belcastro 2012, Discrete Mathematics with Ducks, CRC Press [ISBN: 9781466504998]
 Kenneth H.Rosen, Adapted by Kamala Krithivasan 2013, Discrete Mathematics and Its Applications, 7th Ed., McGraw Hill [ISBN: 9780071315012]
 This module does not have any article/paper resources 

Other Resources 

 Website: CIT Department of MathematicsCIT Maths Online
 Website: MathCentreMathCentre
 Website: Khan Academy
 Website: MathGoodies
 Website: WolframAlpha

Module Delivered in
