Course description
This short course will introduce the basic philosophy of operational research and a selection of the analytical techniques used by practitioners.
Upcoming start dates
1 start date available
Outcome / Qualification etc.
What you will learn
On successful completion you should be able to:
- use the basic concepts of probability,
- formulate problems into mathematical programming formulations,
- solve linear programming problems using a graphical method or the simplex algorithm,
- demonstrate understanding of the ideas of queuing theory by using mathematical methods to analyse queuing systems,
- classify simulations,
- design and carry out discrete event simulations,
- use a network algorithm to find the critical path through a network,
- formulate and solve dynamic programming problems,
- apply the basic principles of search theory.
Training Course Content
Module content:
- concepts of probability,
- mathematical programming:
- linear programming,
- simulation,
- onetwork analysis,
- dynamic programming,
- search theory,
- queuing theory
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Cranfield University
College Road
MK43 0AL Cranfield
Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...
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