The Courses & Modules
Courses and modules are sub-divided into ‘soft’ and ‘hard’ OR. The time devoted to a particular topic can be adjusted according to the needs of the organisation.
Soft OR
- Introduction to OR Methodology
- Advanced OR Methodology, including consultancy skills
- Tools for Structuring Complex Problems
Hard OR
- Linear Programming
- Data Envelopment Analysis
- Heuristics
- Forecasting and Extrapolative Modelling
- Regression
- Advanced Statistics and Data Mining
- Network Analysis
- Queuing Theory
- Computer Simulation
- Supply Chain Management, including Inventory Control (content to be confirmed)
The Lecturing Staff
All of those involved regularly teach at undergraduate, postgraduate and post-experience levels and also carry out and publish research of international quality.
Professor Peter Checkland (soft systems modelling); Professor Richard Eglese (optimisation, heuristics); Professor Robert Fildes (forecasting, data mining); Professor Mike Pidd (simulation, problem structuring); Sven Crone (marketing, forecasting); Ruth Kowalczyk (problem structuring, consultancy skills); Adam Letchford (optimisation); Graham Rand (operations management); Didier Soopramanien (marketing, data mining); Martin Spring (supply chain management); Mark Westcombe (problem structuring, cognitive/oval mapping, facilitation and negotiation skills); Dave Worthington (queuing); Mike Wright (methodology).
