Studiengänge
| Abschluss |
Studiengang |
Semester |
Leistungspunkte |
| M. Sc. |
Natural Hazards and Risk Engineering (M.Sc.), PV 10
|
2 - 2
|
3
|
| M. Sc. |
Baustoffingenieurwissenschaft (M.Sc.), PV 13
|
-
|
3
|
| M. Sc. |
Bauingenieurwesen (M.Sc.), PV 14
|
-
|
3
|
| M. Sc. |
Umweltingenieurwissenschaften (M.Sc.), PV11
|
-
|
3
|
| M. Sc. |
Digital Engineering (M.Sc.), PV 17
|
-
|
3
|
| M. Sc. |
Natural Hazards and Risk Engineering (M.Sc.), PV 16
|
2 - 2
|
3
|
| M. Sc. |
Digital Engineering (M.Sc.), PV 19
|
-
|
3
|
| Master |
Bauingenieurwesen (M.Sc.), PV 18
|
-
|
3
|
| M. Sc. |
Natural Hazards and Risk Engineering (M.Sc.), PV 19
|
2 - 2
|
3
|
| M. Sc. |
Natural Hazards and Risk Engineering (M.Sc.), PV 2020
|
2 - 2
|
3
|
| M. Sc. |
Bauingenieurwesen - Konstruktiver Ingenieurbau (M.Sc.), PV 18
|
-
|
3
|
| M. Sc. |
Digital Engineering (M.Sc.), PV 2023
|
-
|
3
|
Inhalt
| Beschreibung |
In engineering science, we are often faced with problems having potential for optimization. We learn how to formulate this in mathematical terms, and we will study techniques how to improve the situations, generally by involving numerical models. We will discuss classical optimization problems in the field of linear and nonlinear optimization, e.g. optimization of the use of resources, routing problems, calibration problems and structural optimization. In particular in structural optimization we learn techniques like dimensioning, shape and topology optimization. Optimized structures are discussed also in the context of additive manufacturing techniques. |
| Literatur |
C.T. Kelley- Iterative methods for Optimization
Forst, Wilhelm, Hoffmann, Dieter: Optimization—Theory and Practice
I. M. Bomze, W. Grossmann: Optimierung - Theorie und Algorithmen - Eine Einführung in Operations Research für Wirtschaftsinformatiker |
| Bemerkung |
Optimization in Applications (summer semester):
Optimization in Applications is generally a project assigned to the students including own programming and modelling. E.g. innovative optimization strategies are to be implemented in Matlab, Python or similar. Alternatively, engineering models could be subjected to optimization software. |
| Leistungsnachweis |
1 project “Optimization in Applications” (3 credits) / SuSe + WiSe |
| Zielgruppe |
Studierende am Ende Bachelor oder Anfang des Master Studiums für die Studiengänge:
Bauingenieurwesen, Informatik im Bauwesen, Baustoffingenieurwissenschaften, Umweltingenieurwissenschaften, Management für Bau, Immobilien und Infrastruktur und Medien, Natural Hazards and Risk Engineering |
