Arbeitsgruppe Franziska Matthäus - Lehre
Gruppenseminar
Termine werden kurzfristig bekanntgegeben.
Vorlesungen und Kurse im SS 2025
Data analysis, mathematical modeling and simulation
Teaching: F. Matthäus
This is an elective module within the master program Physical Biology of Cells and Cell Interactions (PBioC) at FB 15. The course is offered in the winter and the summer term. If you are interested please contact F. Matthäus.
Content
This module provides a foundation of theoretical biology in the form of individual student research projects, mainly based on examples of cell migration. Methods and techniques, which are hereby acquired and applied, range from data or image analysis (such as segmentation, tracking, dimension reduction of large data sets, or network analysis), to the modeling and simulation of motile cells. Examples of projects involving modeling and simulation are collective migration (of cancer cells or in developmental processes), chemotaxis, pattern formation, or the description of chemical or mechanical regulatory mechanisms of motility. Alternatively, data analysis, modeling or simulation can be carried out based on a project providing suitable data collected during a previous modul.
Image analysis will mostly be carried out using conventional software tools (ImageJ, Matlab). For post-processing of the data, visualization or statistical analysis the student will be supported in the generation of own software. The students may code in the programming language of their choice. For beginners, an introduction to programming (in Python, Matlab or Julia) is provided. Also modeling and simulation will involve the generation of code. The topic and results of the research project will be presented in the group seminar. In addition, every student will submit a protocol comprising 10 – 30 pages.
Goals
The goal of the module is to provide and extend programming skills, data analysis methods and modeling approaches for dynamical or spatio-temporal processes, or large data sets. Students should be able to apply these methods/approaches in their future research and use them as a foundation for further development. Independent research, usage of original literature, and scientific writing will be strengthened.
Prerequisites: At least basic programming skills in Python, Matlab or Julia
Recommended: advanced background in mathematics, statistics, and/or physics
Vorlesungen und Kurse im WS 2024/25
Algorithmen der Systembiologie (Vorlesung und Übung)
Kursleiter: F. Matthäus, R. Covino
Die Vorlesung ist eine Pflichtveranstaltung im Rahmen des Masterstudiengangs Bioinformatik.
Teilnahmevoraussetzungen | keine |
Angebotsturnus | im Wintersemester |
Dauer | ein Semester |
Modulprüfung | Klausur oder mündliche Prüfung |
Unterrichts-/Prüfungssprache | Deutsch und englisch |
Vorlesung | 2 SWS |
Übung | 2 SWS |
CP | 6 |
Wann | Dienstags, 14-17:00 |
Wo | Hörsaaltrakt Bockenheim, HS 15 |
Digitale Kompetenzen für Biowissenschaftler (Vorlesung)
Kursleiter: I. Ebersberger, F. Matthäus, P. Dierkes
Die Vorlesung ist eine Pflichveranstaltung im Bachelor Biowissenschaften.
Teilnahmevorraussetzungen | Keine |
Angebotsturnus | im Wintersemester |
Dauer | ein Semester |
Unterrichtssprache | Deutsch |
Vorlesung | 2 SWS |
Wann | Dienstags 10 - 12:00 |
Wo | Otto-Stern-Zentrum, Campus Riedberg, H2 |
CP | 3 |
Data analysis, mathematical modeling and simulation
Teaching: F. Matthäus
This is an elective module within the master program Physical Biology of Cells and Cell Interactions (PBioC) at FB 15. The course is offered in the winter and the summer term. If you are interested please contact F. Matthäus.
Content
This module provides a foundation of theoretical biology in the form of individual student research projects, mainly based on examples of cell migration. Methods and techniques, which are hereby acquired and applied, range from data or image analysis (such as segmentation, tracking, dimension reduction of large data sets, or network analysis), to the modeling and simulation of motile cells. Examples of projects involving modeling and simulation are collective migration (of cancer cells or in developmental processes), chemotaxis, pattern formation, or the description of chemical or mechanical regulatory mechanisms of motility. Alternatively, data analysis, modeling or simulation can be carried out based on a project providing suitable data collected during a previous modul.
Image analysis will mostly be carried out using conventional software tools (ImageJ, Matlab). For post-processing of the data, visualization or statistical analysis the student will be supported in the generation of own software. The students may code in the programming language of their choice. For beginners, an introduction to programming (in Python, Matlab or Julia) is provided. Also modeling and simulation will involve the generation of code. The topic and results of the research project will be presented in the group seminar. In addition, every student will submit a protocol comprising 10 – 30 pages.
Goals
The goal of the module is to provide and extend programming skills, data analysis methods and modeling approaches for dynamical or spatio-temporal processes, or large data sets. Students should be able to apply these methods/approaches in their future research and use them as a foundation for further development. Independent research, usage of original literature, and scientific writing will be strengthened.
Prerequisites: At least basic programming skills in Python, Matlab or Julia,
Recommended: advanced background in mathematics, statistics, and/or physics
Einführung in die Programmierung (Vorlesung)
Kursleiter: K. Tolle, F. Matthäus, M. Kaschube
Die Vorlesung ist Teil der Veranstaltung Einführung in die Programmierung, und eine Pflichtveranstaltung der Bachelorstudiengänge Informatik, Wirtschaftsinformatik und Bioinformatik.