Projektseminar numerische gemischt-ganzzahlige Programmierung
Titel auf Englisch: Project Seminar in Mixed-Integer Programming
Lernergebnisse
After successfully completing the module, students will recognize the link between theory and practice in relation to mathematical optimization. They are able to transfer the knowledge they have learned to an unknown, new situation. Students are able to estimate the capabilities and limitations of numerical optimization methods. They have acquired an independent working method in preparation to a thesis.
Inhalte
- Practical implementation of the theory learned from optimization courses based on an applied question, e.g. a problem from business or industry
- Development of a mathematical model (mixed-integer linear or nonlinear programming)
- Implementation of the model in a modeling language
- Solution by numerical solvers
- Interpretation of the solution found in the application context
- Documentation of the results in the form of a scientific essay
- Presentation of the results in the context of a technical talk
Voraussetzungen
Verpflichtende Voraussetzungen
Keine
Prüfungsmodalitäten
- Scientific essay, 15-20 pages (50%) - documentation of the project results
- Technical talk, 45 minutes (50%) - presentation of the project results
Angeboten in
- MathematicsM.Sc.
Wahlpflichtkomplex: Optimization
- MathematikB.Sc.
Wahlpflichtkomplex: Vertiefung
- WirtschaftsmathematikB.Sc.
Wahlpflichtkomplex: Vertiefung
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Mathematics | M.Sc. | Optimization |
| Mathematik | B.Sc. | Vertiefung |
| Wirtschaftsmathematik | B.Sc. | Vertiefung |
Literatur und Materialien
Corresponding to the respective focus, literature will be announced in the first class of the semester.
Bewertungen von Studierenden
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.