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
Lecturer
Heinrich Kuhn
Prof. Dr. Heinrich Kuhn
Professor for BA, Supply Chain Mangement & Operations
Tobias Potoczki
M. Sc. Tobias Potoczki
Former Research Assistant
Stefan Voigt
Dr. Stefan Voigt
Senior Researcher

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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