The module provides an introduction to the use of spreadsheets, databases and R for modelling in Operational Research.
Aims and Objectives
Having successfully completed this module you will be able to:
- Use a standard spreadsheet package (e.g. Microsoft Excel) to carry out calculations
- Understand how spreadsheets can be used to help solve standard problems in Operational Research, e.g. queueing theory and linear programming
- Appreciate the value of spreadsheets for solving small-scale practical problems
- Understand the basic principles of database design
- Use R for data manipulation and visualisation
- Run basic queries to obtain information from a database
- Carry out a practical project using a spreadsheet
1. Introduction to Excel: basic file operations; entering data; using formulae.
2. Linear programming: optimisation using Goal Seek and Solver
3. LookUp tables, random sampling and queueing models
4. Importing data and Pivot Table/Chart analysis
5. Introduction to database systems: entity-relation models; practical database design
6. Working with queries: creating a query; introduction to some basic SQL
7. Introduction to R: data input, manipulation and visualisation
Learning and Teaching
Teaching and learning methods
The module will be taught using a mixture of lectures and computer workshops: 12 hours of computer
workshops; 4 hours of lectures.
|Total study time||75|
Resources & Reading list
Software requirements. Microsoft Excel; Microsoft Access (or other database software)
Ritchie C. Relational Database Principles (Letts Educational).
Barlow JF. Excel Model for Business and Operations Management. Wiley.
Rolland FD. The Essence of Database. Prentice Hall.
Thomas T. Nagle, John F. The Strategy and Tactics of Pricing: A Guide to Growing More Profitably. Hogan and Joseph Zale.
Liengme BV. A Guide to Microsoft Excel for Business and Management. Butterworth-Heinemann.
Lehmann M & Zeitz P. Statistical Explorations with Microsoft® Excel. Duxbury.
Winston WL. Operations Research: Applications and Algorithms. Duxbury.
Robert L. Phillips (2005). Pricing and Revenue Optimization. Stanford University Press.
Weida N, Richardson R & Vazsonyi A. Operations Analysis Using Microsoft® Excel. Duxbury.
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Repeat type: Internal & External