Kies de Nederlandse taal
Course module: 202000426
Project Stochastic Models
Course info
Course module202000426
Credits (ECTS)1.5
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. I. Seyran Topan
PreviousNext 2
ir. J. Bos
Examiner A. Braaksma
S. Dijkstra
Lecturer M.R.K. Mes
Contactperson for the course
dr. I. Seyran Topan
Academic year2022
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISNo
After successful completion of this module component, the student is able to:
  1. select appropriate models and methods (from those provided in the Stochastic Models component) that are relevant to given practical problems that are too large to solve by hand;
  2. analyse these problems by implementing the selected models and methods in computer code to draw conclusions about the behaviour of the system.
In the module component Project Stochastic Models, which builds on the Stochastic Models component, students learn to apply stochastic dynamic programming and queueing theory to solve large problems that cannot be solved by hand. Mathematical modelling as well as implementation in a computer are the main ingredients.

As of 2022/2023, this module component has been replaced with 202200346 – Project MASP. Students who need to retake all project parts (202000426, 202000428, 202000429) have to take this new project and do not have to enrol for the old projects. Students who have to retake one or two of the project parts, please send an email to
Module 8
Participating study
Bachelor Industrial Engineering and Management
Required materials
Recommended materials
Instructional modes
Project supervised

Project unsupervised

Project Stochastic Models

Two assignments need to be passed. Average of two assignment grades is used, provided both of these are 5.5 or higher.

Kies de Nederlandse taal