Vorlesung
4 SemesterwochenstundenBTU-Vorlesungsverzeichnis ↗- Dienstag06 Okt 2026 bis 26 Jan 202711:30 bis 13:00
- Mittwoch20 Jan 202710:00 bis 16:00
- Donnerstag21 Jan 202710:00 bis 18:00
Titel auf Englisch: An Introduction to Basic Algorithms to Solve Environmental and Resource Management Optimization Problems
After participating in the module, students should • have a basic understanding of programming principles, • have a basic understanding of graphs and graph algorithm • be able to identify optimization problems in the field of environmental and research management and • be able to match real world optimization problems to introduced algorithmic solutions.
An introduction to basic algorithms which can be used for typical optimization problems in environmental and research management. For example, where to place wind turbines in a given landscape while optimizing given parameters e.g. maximizing energy generation or minimizing biodiversity disturbance. We start with a short introduction / refresher of basic programming principles and focus during the course on understanding and enabling the use of existing algorithms as graph algorithms or when to use other approximation algorithms like greedy. All algorithms are introduced and discussed in the context of environmental and resource related optimization problems. 1. Basic programming principles 2. Graph algorithms 3. Greedy algorithms 4. Knapsack problem 5. Dynamic Programming 6. Simulated Annealing
Keine
Keine
Practical project presentation, 30 min (50%) in groups oral examination, 20 min. (50%)
Wahlpflichtkomplex: Kein Komplex genannt
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Environmental and Resource Management | Master | Kein Komplex genannt |
"The Algorithm Design MANUAL" by Steven S. Skiena (Springer); ”Algorithms Unplugged” by Berthold Vöcking et al (Springer);” Or the German Version: "Taschenbuch der Algorithmen" by Berthold Vöcking et al
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