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Exercises in Quantitative Analysis
Global North London Business School
Summary
Overview
Aims
- To effectively communicate and critically evaluate solutions to complex financial problems
- To evaluate critically secondary research in solutions to complex operational business problems
Description
Learning Outcomes
After completing the module the student should be able to:
- Apply appropriate techniques to solve management problems.
- Develop short and long term forecasts based on historical data.
- Assess relationships between variables.
- Demonstrate simple scheduling techniques and apply them to problems.
- Develop an understanding of inventory control.
- Monitor variations over time using appropriate indexes.
Indicative Content
- Data sources
- Statistical techniques – location and dispersion
- Forecasting - time series analysis, correlation, regression analysis
- Linear programming
- Networks and scheduling – critical path analysis
- Inventory management
- Indexation
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