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Systems Engineering
Last Updated: 2026-02-05 16:08:23
Abstract
This course is designed to familiarize students with formal methods to be used in general situations to solve problems. The content can be applied in the fields of Civil Engineering, Environmental Engineering, Geomatic Engineering and Spatial Planning and Infrastructure Systems.
Objective
Upon successful completion of the course the students will be able: -to apply the basic solving problem process, -to develop basic mathematical models to determine optimal solutions to problems, to -to develop basic models to be used in decision making, and -to be able to conduct basic economic and cost-benefit analyses. All of which will improve their ability to find optimal solutions to problems in the fields of Civil Engineering, Environmental Engineering, Geomatic Engineering and Spatial Planning and Infrastructure Systems.
Content
-Introduction -Problem solving process -Optimisation models -Decision making models -Economic analysis -Cost-benefit analysis
Resources
Lecture Notes
The script for the original course is in German. The English material that can be used for the virtual course is:1 ) Adey, B.T., Hackl, J., Lam, J.C., van Gelder, P., van Erp, N., Prak, P., Heitzler, M., Iosifescu, I., Hurni, L., (2016), Ensuring acceptable levels of infrastructure related risks due to natural hazards with emphasis on stress tests, International Symposium on Infrastructure Asset Management (SIAM), Kyoto, Japan, January 21-22.2) Blanchard, B.S., and Fabrycky W.J., (2008), Systems Engineering and Analysis, 5th International Edition, Prentice Hall.3) Revelle, C.S., Whitlach, E.E., and Wright, J.R., (2003), Civil and Environmental Systems Engineering, 2nd Edition, Prentice Hall.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Semesterly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| revision course / private study |
Systems Engineering
Self-study course. No presence required.
|
No time listed | 120 h semesterly |
Offered In
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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