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Mathematical Modelling for Bioengineering and Systems Biology
Last Updated: 2026-02-05 15:48:24
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
Learning Materials (Links)
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 20 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Mathematical Modelling for Bioengineering and Systems Biology
The lecture course will be offered as “inverted classroom”. Lecture videos, slides, and scripts will be made available via Moodle, and students are expected to watch the videos ahead of the lecture. The 45-minute in person lecture time serves to answer student question where necessary, and to discuss application examples with students to deepen their understanding of the material. Similarly, problem sheets and solutions will be made available ahead of the tutorial. The tutorials serve to address further questions. Remote participation is always possible. It is a new form of teaching. Feedback will be most welcome.
Thursday 9.15-10 Q&A Lecture (BS)
Thursday 10.15-11 Tutorial (BS)
Course starts: Thursday, Sept. 30 2021 in BS
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3 h weekly |
Offered In
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Computational Biology and Bioinformatics Master (More information at: )
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Core Courses (Please note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed. Students need to pass at least one course in each core subcategory. A total of 40 ECTS needs to be acquired in the core course category.)
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Advanced Courses (Students need to aquire a total of 24 ECTS in this category. The list of advanced courses is a closed list, no other course can be added to this category.)
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