After successful completion of this module component, the student is able to:
- select appropriate models and methods (from those provided in the Stochastic Models component) that are relevant to given practical problems that are too large to solve by hand;
- analyse these problems by implementing the selected models and methods in computer code to draw conclusions about the behaviour of the system.
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In the module component Project Stochastic Models, which builds on the Stochastic Models component, students learn to apply stochastic dynamic programming and queueing theory to solve large problems that cannot be solved by hand. Mathematical modelling as well as implementation in a computer are the main ingredients.
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