Introduction to Simulation

(in German: Introduction to Simulation - )

Intended learning outcomes:
Students who complete the course ...

• can use a professional simulation tool
• know the practical considerations when solving initial value problems numerically
• can carry out input and output analysis for stochastic, discrete-event models
• can model simple systems as stochastic Petri nets, ordinary differential equations and discrete-time Markov chains
• know and understand the steps in a simulation study

Content:
Introduction to the fundamentals and steps in a simulation study:

• discrete-event simulation
• random variables and random number generation
• statistical data analysis
• ordinary differential equations and numerical integration
• stochastic Petri nets
• the AnyLogic simulation system
• discrete-time Markov chains
• agent-based simulation

Workload:

• 56 contact hours + 94 h self study

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