TNK089 · 6 credits · Basic level (G2F) · Transportsystem
Discrete-Event Simulation
Active · next start VT 2027
100%
passed the latest ordinary exam
TEN1 · 20 Mar 2026 · 11 students
96%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 72 students
Part of 1 programme
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
96% passed · 72 students
- 100%11
- 100%19
- 92%13
- 100%19
- 80%10
Re-exams
100% passed · 6 students
- 100%6
- Pass the re-exam: 100% (6 students), compared with 96% (72 students) on the ordinary exam
- Get 4 or 5: 68% (78 students)
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%2
- 100%2
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Series of model-building exercises
- 5
- 4
- 3
Main rounds
100% passed · 58 students
- 100%9
- 100%8
- 100%11
- 100%21
- 100%9
Later rounds
100% passed · 8 students
- 100%8
- Pass a later round: 100% (8 students), compared with 100% (58 students) on the ordinary exam
- Get 4 or 5: 45% (66 students)
Show small sittings (7)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%3
- 100%2
- 100%2
- 100%4
- 100%1
About the course
Aim
The main goal of this course is to provide students with basic knowledge in discrete-event simulation and its use for the analysis of communication, transport, production and service systems. The course also aims at providing practical experience in simulation modeling. After completion of the course the student will be able to:
- Describe fundamental concepts in discrete-event simulation.
- List and explain advantages and disadvantages of simulation as analysis tool.
- Model stochastic input data with probability distributions and assess quality of input models.
- Build simulation models of production, service and transportation systems
- Perform analysis with simulation models and draw conclusions from stochastic simulations.
Content
- Fundamental concepts of discrete-event simulation.
- Setting up and conducting a simulation study.
- Conceptual modelling.
- Input data modelling.
- Verification and validation of simulation models.
- Experimentation and output analysis.
- Use of simulation tools for modelling and analysis.
- Applications of simulation in manufacturing, logistics, and service systems.
- Examiner
- Krisjanis Steins
- Scheduled hours
- 58 h
- Main field of study
- Transportsystem