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Probability models 780


 
Module code BHM 780
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

The objective of the module is that students be exposed to probability theory, learn the ability to follow fairly involved theoretical reasoning, continue to learn how to reason mathematically, and solve problems of a more practical nature.
It covers:
• Probability theory: Random variables and random vectors, Sequence of random variables, Transformation  of Probability distributions
• Stochastic Processes: Examples of stochastic processes; various types of stochastic processes
• Poisson Processes: Homogeneous and non-homogeneous stochastic processes with examples
• Renewal Processes: Renewal functions; ordinary and delayed renewal processes; Regenerative stochastic  processes
• Discrete-time Markov chains: continuous time Markov chains with focus on examples in Reliability, queuing and inventory models.
Module credits 16.00
Prerequisites No prerequisites.
Contact time 24 contact hours per semester
Language of tuition English
Academic organisation Industrial and Systems Eng
Period of presentation Semester 1 or Semester 2
The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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