Introduction to Simulation

Winter
(in German: Introduction to Simulation
)
Module-ID: FIN-INF-120345
Abbreviation
ItS
Credit Points
6
Semester
Winter
Term
starting at 1.
Duration
1 Semester
Language
english
Level
Master
Link:
 LSF
Limited accessability:
Responsibility:
Graham Horton
Lecturer:
Graham Horton
Classes:
Lecture Introduction to Simulation
Exercise class Introduction to Simulation
 
Applicability in curriculum:
- M.Sc. DKE: Fundamentals of Data Science
- M.Sc. DE: Grundlagen Informatik
- M.Sc. DE: Informatik Grundlagen (SPO 2027)
Intended learning outcomes:
Students who complete the course ...
can analyse discrete, continuous and hybrid systems using a professional simulation tool
know how to obtain an accurate result efficiently when integrating initial value problems numerically
can carry out input and output analysis to obtain statistically significant results for stochastic, discrete-event models
can select an appropriate modelling paradigm for a given situation
can perform a simulation study and interpret its results
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 + 124 h self study
Pre-examination requirements:
Type of examination:
Teaching method / lecture hours per week (SWS):
2h written exam
2 SWS lecture
2 SWS exercise class
Prerequisites according to examination regulations:
Recommended prerequisites:
keine
Basic engineering mathematics
Media:
Literature:
Banks, Carson, Nelson, Nicol: Discrete-Event System Simulation
Comments: