Stochastic Modeling

Module Content

• Fundamentals of Stochastic Modeling
• Introduction, Applications, Modeling, Probability Theory
• Random Distributions: Binomial, Geometric, Poisson, Weibull, Phase-Distributions
• Discrete Markov-Chains
• Markov-Chains in continuous time, Birth- and Death-Processes
• Queueing Theory
• Little's Law, M/M/1-Model, M/M/c-Model
• M/M/1/K-Model, M/M/1/K/K-Model
• Mean-Value-Analysis: M/G/1-Model, G/G/1-Models
• Open Queueing Systems: Jackson's Theorem, Systems with limited Buffers
• Closed Queueing Systems: Mean-Value-Analysis (MVA), Convolution-Algorithms

Target audience:
Mandatory (BA&OR)

Semester:
Summer term

Number of credits:
5 ECTS

Language:
German

Participation limit:
None

Registration:
Examination registration via KU.Campus during the regular registration period

Module description:
Link to the PDF (please scroll down for the English version)

Course materials:
See Ilias

Meeting & examination dates: Please take note of the information in the KU.Campus system.

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