---
title: 'Combinatorial Optimisation in Scientific Practise'
url: 'https://combi.rwth-aachen.de/en/teaching/courses/copra'
markdown: 'https://combi.rwth-aachen.de/en/teaching/courses/copra.md'
lang: german
date: '2026-07-25'
---

#  Combinatorial Optimisation in Scientific Practise 

##  Kombinatorische Optimierung in der wissenschaftlichen Praxis 

### Cycle:

 Winter 

### Language:

 German 

### Credits:

 9 

### Contact:

 [ copra@combi.rwth-aachen.de ](mailto:copra@combi.rwth-aachen.de) 

### Regular Courses:

- Mathematics M.Sc.
- Computational Engineering Science M.Sc.
- Simulation Science M.Sc.

### Exam:

- **Exam Requirements:** Refer to the module handbook

## Team

 [    ![](https://combi.rwth-aachen.de/images/5/a/e/7/c/5ae7c70c46d2ea20033ae76292f454d15ba80811-christina.jpg)  ](https://combi.rwth-aachen.de/en/team/christina-buesing) 

 [ Prof. Christina Büsing ](https://combi.rwth-aachen.de/en/team/christina-buesing) 

 [  ](mailto:buesing@combi.rwth-aachen.de "Mail") 

 [  ](https://www.researchgate.net/profile/Christina-Buesing "Research Gate Profile") 

 [  ](https://scholar.google.com/citations?user=LgVM_k4AAAAJ&hl=de&oi=ao "Google Scholar Profile") 

 [  ](https://orcid.org/0000-0002-3394-2788 "Orcid Profile") 

 [ buesing@combi.rwth-aachen.de ](mailto:buesing@combi.rwth-aachen.de " mail")- Robust Optimisation
- Combinatorial Optimisation
- Healthcare Applications

 [    ![](https://combi.rwth-aachen.de/images/a/8/9/f/1/a89f1c6f9ee612759e7400fe922e76a550ed1daf-felix.png)  ](https://combi.rwth-aachen.de/en/team/felix-engelhardt) 

 [ Felix Engelhardt ](https://combi.rwth-aachen.de/en/team/felix-engelhardt) 

 [  ](mailto:engelhardt@combi.rwth-aachen.de "Mail") 

 [  ](https://www.researchgate.net/profile/Felix_Engelhardt3 "Research Gate Profile") 

 [  ](https://scholar.google.com/citations?user=qc3PTNMAAAAJ&hl=en "Google Scholar Profile") 

 [  ](https://orcid.org/0009-0007-7705-4508 "Orcid Profile") 

 [ engelhardt@combi.rwth-aachen.de ](mailto:engelhardt@combi.rwth-aachen.de " mail")- Optimisation Under Uncertainty
- Robust Optimisation Of Energy Systems
- Hospital Bed Management

## Content

Students learn how to work scientifically in combinatorial optimization. This contains, on top of proving or disproving statements, the abilities to work with literature, describe a problem mathematically and to present results to a subject audience. Based on this, students create their own scientific works and they practice the publication process and conference participation.

## Learning Targets

- Students know the procedures of working scientifically. They know the differences between various types of publications.
- Students can search for, read and classify scientific publications.
- They are able to identify open research questions and to formulate such questions mathematically.
- They can write scientifically and they know how to edit given texts.
- Students can evaluate when and how statements can be verified using either formal, mathematical proof and/or empirical results.
- Students can perform simple computational studies on the RWTH HPC-Cluster and they present corresponding results clearly and appropriately in oral and written form.

## Recommended Prerequisites

- basics of formal, mathematical proofs
- combinatorial optimization (e.g. Optimisation B)
- proficient in at least one advanced lecture/topic in discrete/combinatorial optimisation

---

## Navigation

- Parent: [Courses](https://combi.rwth-aachen.de/en/teaching/courses.md)
- Previous: [Discrete and Combinatorial Optimisation](https://combi.rwth-aachen.de/en/teaching/courses/discrete-and-combinatorial-optimisation.md)
- Next: [Seminar on Discrete Optimisation](https://combi.rwth-aachen.de/en/teaching/courses/seminar-on-discrete-optimisation.md)