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Module Specifications

Archived Version 2023 - 2024

Module Title
Module Code
School

Online Module Resources

NFQ level 8 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description

This module introduces students to the basic tools of statistical and OR quantitative techniques. Students are introduced to different data types and will be able to identify the methods of analysis for these data. In addition, concepts of probability are introduced enabling students to analyse problems of decision making under risk. Linear regression applications are introduced by way of problem formulation and solution using graphical methods and analysis. Elementary methods of analysis statistical inference in management are also included. Introduction to linear programming is included as well.

Learning Outcomes

1. Calculate probabilities of events and calculate expected values
2. Identify different data types
3. Summarise and present data sets
4. Identify optimal strategies under risk
5. Apply Binomial, geometric and normal distributions in straightforward situations.
6. Formulate simple linear regression applications.
7. Obtain point and interval estimates of population parameters
8. Use 'SPSS' or 'R' in description and analysis of business data.
9. Formulate simple linear programming problems and solve them graphically; be able to apply a tool such as 'ampl' to set up and solve linear programming problems.



Workload Full-time hours per semester
Type Hours Description
Lecture242 hours a week
Laboratory121 hour a week
Independent Study59study of lecture material and exam preparation
Independent Study30project work
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Assessment Breakdown
Continuous Assessment% Examination Weight%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
Unavailable
Indicative Reading List

  • Terence Lucey: 2002, Quantitative Techniques, Burns & Oates, 0-8264-5854-8
  • Jane M Horgan: 2009, Probability with "R" an Introduction with Computer Science applications, First Ed., All, Wiley New York,
  • Mark Berenson and David Levine: 1996, Basic Business Statistics, Prentice hall,
  • Robert Fourer,David M. Gay,Brian W. Kernighan: 2003, AMPL, Duxbury Press, 0534388094
  • Hamdy A. Taha,Turkey: 0, Loi relative à la Banque centrale de la République de Turquie, 0132729156
Other Resources

None
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