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Spatio-Temporal Modelling in Biology
Last Updated: 2026-06-01 11:30:43
Abstract
This course focuses on modeling spatio-temporal problems in biology, in particular on the cell and tissue level. The main focus is on mechanisms and concepts, but mathematical and numerical techniques are introduced as required. Biological examples discussed in the course provide an introduction to key concepts in developmental biology.
Objective
Students will learn state-of-the-art approaches to modelling spatial effects in dynamical biological systems. The course provides an introduction to dynamical system, and covers the mathematical analysis of pattern formation in growing, developing systems, as well as the description of mechanical effects at the cell and tissue level. The course also provides an introduction to image-based modelling, i.e. the use of microscopy data for model development and testing. The course covers classic as well as current approaches and exposes students to open problems in the field. In this way, the course seeks to prepare students to conduct research in the field. The course prepares students for research in developmental biology, as well as for applications in tissue engineering, and for biomedical research.
Content
1. Introduction to Modelling in Biology 2. Bioimage Analysis 3. Morphogen Gradients 4. Precision & Robustness of Patterning 5. Mathematical Description of Growing Biological Systems 6. Travelling Waves & Wave Pinning 7. Turing Patterns 8. Chemotaxis 9. Epithelial Organisation 10. Tissue Simulation Frameworks 11. Tissue Mechanics & Fluid Dynamics 12. Growth Control 13. Image-Based Modelling 14. Summary
Resources
Lecture Notes
All lecture material will be made available online via Moodle.
Literature
The lecture course is not based on any textbook. The following textbooks are related to some of its content. The textbooks may be of interest for further reading, but are not necessary to follow the course: Murray, Mathematical Biology, Springer Forgacs and Newman, Biological Physics of the Developing Embryo, CUP Keener and Sneyd, Mathematical Physiology, Springer Fall et al, Computational Cell Biology, Springer Szallasi et al, System Modeling in Cellular Biology, MIT Press Wolkenhauer, Systems Biology Kreyszig, Engineering Mathematics, Wiley
Learning Materials (Links)
- Main link
- Lecture Material
General Information
- Language
- English
- Levels
- BSC , DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- None
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Spatio-Temporal Modelling in Biology
Thursday 1:15-2 pm Tutorial
Thursday 2:15-3 pm Inverted classroom, maybe extended to 90 minutes in case of live recordings of new lectures
The course starts in the second week of the semester. The first tutorial will offer an introduction to solving PDEs with Matlab.
Online course: rooms on campus are reserved for students wishing to follow the course from there.
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3 h weekly |
Offered In
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Computational Biology and Bioinformatics Master (Weitere Informationen: )
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Kernfächer (Die Liste der Kernfächer ist eine geschlossene Liste - es können keine anderen Kurse in dieser Kategorie hinzugefügt werden. Die Zuordnung der Kurse zu der jeweiligen Unterkategorie kann nicht geändert werden. Studierende müssen mindestens einen Kurs pro Unterkategorie bestehen. Insgesamt müssen 40 ECTS Kernfächer erworben werden, einschliesslich des obligatorischen CBB-Seminars.)
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Doktorat Biosysteme (Mehr Informationen unter: Für Kurse der Kategorie "Integration in die wissenschaftliche Gemeinschaft" bitte die BSSE Webseite konsultieren: )
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Biotechnologie Master (Weitere Informationen: )
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Wahlfächer (Offene Liste - weitere Kurse (ETH oder UNIBAS) können nach Absegnung durch den:die Mentor:in als Wahlfächer gewählt werden.)
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