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Stochastic Modeling

Course Name: 
Stochastic Modeling
Course Code: 
MATH2407
Course Credits: 
3
Level: 
II
Prerequisites: 
MATH2404 – Introduction to Probability Theory
Course Description: 

The course introduces several of the main classes of stochastic process. Their properties are studied, and various case study examples are used to show how they may be used in the construction of real-world models. The course also provides students with practical experience of simulation, and, as part of a group project, requires them to construct and analyse a stochastic model using modern mathematical software.

Content: 
Introduction; Markov processes; Queues; Brownian motion; Laboratory work.
Assessment: 
The course assessment has three components consisting of one in-course test worth 20%; one Group project worth 20% and a final exam worth 60%. The group project will be laboratory based and require the analysis of one or more aspects of stochastic modeling in software.
coursedegree: 
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