After the completion of this course, students will be able to:
- Explain the role of process simulation in Civil Engineering
- Distinguish between deterministic and stochastic modelling approaches
- Explain the concept of Monte Carlo Simulation
- Describe the principles of discrete-event simulation
- Use appropriate technique to extract statistical information from site measurement
- Apply the principles of discrete-event simulation in real project
- Use appropriate software and modelling methodology to translate a conceptual model to a functional simulation model
- Interpret the outcome of stochastic models
- Reflect on the outcome of the model and translate it into actionable strategies
- Deduce the notion of simulation-based optimization
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This is a part of Module 8, Modelling & Analysis of Stochastic Processes of the Bachelor Civil Engineering. See here for the complete description of this module.
The course covers the following content:
- There will be a series of lectures that covers the topic of stochastic simulation of construction processes
- In a series of tutorials, students will learn about statistical methods, and stroboscope (i.e., the simulation software)
- Several supervised project support sessions will provide students the support during their design project
- The final exam will cover all the theory component of the course. This will be in form of one written digital exam.
Assessment
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Description |
Weighting |
| 1 |
Online written exam |
70% |
| 2 |
Group Assignment 1 |
15% |
| 3 |
Group Assignment 2 |
15% |
External students who are interested in this elective: please contact Peter Jansen (coordinator-ce@utwente.nl)
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