8546 modules
Page 760
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MATH6004 2025-26
Stochastic OR Methods
The Stochastic OR Techniques part introduces the concepts and applications of the following four topics: queuing systems, inventory systems, reliability theory and decision theory. Models and examples are also given to demonstrate applications of the topics. Discrete event simulation is taught separately via lectures and computer workshops.
One of the pre-requisites for MATH6013 -
MATH6004 2026-27
Stochastic OR Methods
The Stochastic OR Techniques part introduces the concepts and applications of the following four topics: queuing systems, inventory systems, reliability theory and decision theory. Models and examples are also given to demonstrate applications of the topics. Discrete event simulation is taught separately via lectures and computer workshops.
One of the pre-requisites for MATH6013 -
MATH6164 2025-26
Stochastic OR Methods for Data Scientists
Stochastic OR Methods provides the students with a grounding in the stochastic elements of operational research. Models and examples are given to demonstrate applications of the topics. Discrete event simulation is taught via lectures and computer workshops while Decision Theory and the basics of Queueing Theory are taught in lectures. -
MATH6164 2027-28
Stochastic OR Methods for Data Scientists
Stochastic OR Methods provides the students with a grounding in the stochastic elements of operational research. Models and examples are given to demonstrate applications of the topics. Discrete event simulation is taught via lectures and computer workshops while Decision Theory and the basics of Queueing Theory are taught in lectures. -
MATH6164 2026-27
Stochastic OR Methods for Data Scientists
Stochastic OR Methods provides the students with a grounding in the stochastic elements of operational research. Models and examples are given to demonstrate applications of the topics. Discrete event simulation is taught via lectures and computer workshops while Decision Theory and the basics of Queueing Theory are taught in lectures. -
MATH6128 2028-29
Stochastic Processes
The module will introduce the basic ideas in modelling, solving and simulating stochastic processes. -
MATH2012 2028-29
Stochastic Processes
The module will introduce the basic ideas in modelling, solving and simulating stochastic processes. -
MATH2012 2026-27
Stochastic Processes
The module will introduce the basic ideas in modelling, solving and simulating stochastic processes. -
MATH2012 2027-28
Stochastic Processes
The module will introduce the basic ideas in modelling, solving and simulating stochastic processes. -
MATH6128 2025-26
Stochastic Processes
The module will introduce the basic ideas in modelling, solving and simulating stochastic processes.