Kies de Nederlandse taal
Course module: 202200338
Stochastic Simulation
Course info
Course module202200338
Credits (ECTS)4
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. J.C.W. van Ommeren
Contactperson for the course
dr. J.C.W. van Ommeren
dr. J.C.W. van Ommeren
Academic year2023
Starting block
RemarksPart of M8 AM
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
 After successful completion of this part, the student is able to:
  1. analyse a practical problem in which uncertainty plays a role, and to design a conceptual discrete-event simulation model for it;
  2. implement a discrete-event simulation model by writing correct computer code;
  3. interpret the outcomes of the computer simulation program using statistical analysis.
This course aims to give an introduction to the basics of stochastic (discrete event) simulation. In practice, most systems give rise to mathematical models that are too complicated for an exact mathematical analysis. Making some simplifying assumptions may make our model (numerically) tractable but also give less applicable results. In these situations we can decide to do a simulation study of the original system. In a simulation study of a system we distinguish two parts namely the simulation of the system and the collecting and analysis of data with this simulation.  A side goal is to improve programming skills in Python via the assignments.
Assumed previous knowledge
Statistics (from module 5), Python (from module 7).
Module 8
Participating study
Bachelor Applied Mathematics
Required materials
Recommended materials
Instructional modes

Project supervised

Project unsupervised

Stochastic Simulation

Repair is only possible for students who failed the first time. Repair grade is at most 5.5.

Kies de Nederlandse taal