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Mathematical Modelling for Bioengineering and Systems Biology
Last Updated: 2026-06-01 11:30:44
Abstract
Basic concepts and mathematical tools to explore biochemical reaction kinetics and biological network dynamics.
Objective
The course enables students to formulate, analyse, and simulate mathematical models of biochemical networks. To this end, the course covers basic mathematical concepts and tools to explore biochemical reaction dynamics as well as basic concepts from dynamical systems theory. The exercises serve to deepen the understanding of the presented concepts and the mathematical methods, and to train students to numerically solve and simulate mathematical models.
Content
Biochemical Reaction Modelling Basic Concepts from Linear Algebra & Differential Equations Mathematical Methods: Linear Stability Analysis, Phase Plane Analysis, Bifurcation Analysis Dynamical Systems: Switches, Oscillators, Adaptation Signal Propagation in Signalling Networks Parameter Estimation
Resources
Literature
The lecture course is not based on any textbook. The following textbooks offer further details on the mathematical methods that will be presented during the course: Recommended Reading: Kreyszig, Engineering Mathematics, Wiley Strogatz: Nonlinear Dynamics and Chaos Sivia, Data Analysis, OUP Wolkenhauer, Systems Biology Additional Reading Junker and Schreiber, Analysis of Biological Networks Keener and Sneyd, Mathematical Physiology, Springer Klipp et al, Systems Biology in Practice, Wiley Murray, Mathematical Biology, Springer Szallasi et al, System Modeling in Cellular Biology, MIT Press
Learning Materials (Links)
- Main link
- Moodle
General Information
- Language
- English
- Levels
- 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 |
Mathematical Modelling for Bioengineering and Systems Biology
9:15-10 am: Tutorial
10:15-11 am: Inverted classroom - may be extended to 90 minutes in case of new recordings of material
The first lecture & tutorial take place in the second week of the semester. The first tutorial will offer an introduction to Matlab for absolute beginners. Please install Matlab before the tutorial.
Online course: rooms on campus are reserved for students wishing to follow the course from there.
|
|
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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Vertiefungsfächer (Die Liste der Vertiefungsfächer ist eine geschlossene Liste - es können keine anderen Kurse in dieser Kategorie hinzugefügt werden.)
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