Registry
Module Specifications
Archived Version 2023 - 2024
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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. | |||||||||||||||||||||||||||||||||||||
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 |
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