DILiS - Teaching

These are our planned, current and past teaching offers. You can join our research seminar at any time (please be aware that the schedule might switch). Please do not hesitate to contact us in case of questions.

WS 2024/25

• Lecture and exercise (2+2): Integrative analysis and including prior knowledge for data in the life sciences (MA Informatik, MA Bioinformatik, MA Data Science, Katharina Baum; 19336801+19336802)
• Proseminar: Methoden zur Analyse von Graphen und Netzwerken (BA Informatik; Pauline Hiort, Katharina Baum; 19334910)
• Seminar/Proseminar: Graph-neural networks in the life sciences and beyond (MA Informatik, BA Informatik, MA Bioinformatik; Pascal Iversen, Katharina Baum; 19336717)
• Softwareprojekt: Machine Learning with Graphs for Improved (Cancer) Treatment (MA Informatik; Pauline Hiort, Katharina Baum; 19334212)
• Research Seminar: Networks, dynamical models and ML for data integration in the life sciences (MA Informatik, MA Bioinformatik, MA Data Science; 19335011)
• Eins@FU Grundkurs NATUR (Katharina Baum)

SS 2024

• Seminar/Proseminar: Biomedical Databases (MA Informatik, BA Informatik, MA Bioinformatik; Katharina Baum)
• Projektmanagement im Softwarebereich: ML techniques for biological data (BA Bioinformatik; Pauline Hiort, Pascal Iversen, Katharina Baum)
• Softwareprojekt: Maschinelles Lernen in den Lebenswissenschaften (MA Informatik; Pauline Hiort, Pascal Iversen, Katharina Baum)
• Research Seminar: Networks, dynamical models and ML for data integration in the life sciences (MA Informatik, MA Bioinformatik; Pascal Iversen, Katharina Baum)
• Eins@FU Grundkurs NATUR (Katharina Baum)

WS 2023/24

• Analysis für Informatik (BA Informatik; Katharina Baum, Pascal Iversen)
• Proseminar: Methoden zur Analyse von Graphen und Netzwerken (BA Informatik; Pauline Hiort, Katharina Baum)
• Research Seminar: Networks, dynamical models and ML for data integration in the life sciences (MA Informatik, Pauline Hiort, Katharina Baum)

Theses

We are offering a broad selection of thesis topics in bioinformatics, computer science and data science. Reach out and discuss!