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Evolutionary Dynamics
Last Updated: 2026-06-01 11:30:43
Abstract
Evolutionary dynamics is concerned with the mathematical principles according to which life has evolved. This course offers an introduction to mathematical modeling of evolution, including deterministic and stochastic models, with an emphasis on tumor evolution.
Objective
The goal of this course is to understand and to appreciate mathematical models and computational methods that provide insight into the evolutionary process in general and tumor evolution in particular. Students should analyze and evaluate models and their application critically and be able to design new models.
Content
Evolution is the one theory that encompasses all of biology. It provides a single, unifying concept to understand the living systems that we observe today. We will introduce several types of mathematical models of evolution to describe gene frequency changes over time in the context of different biological systems, focusing on asexual populations. Viruses and cancer cells provide the most prominent examples of such systems and they are at the same time of great biomedical interest. The course will cover some classical mathematical population genetics and population dynamics, and also introduce several new approaches. This is reflected in a diverse set of mathematical concepts which make their appearance throughout the course, all of which are introduced from scratch. Topics covered include the quasispecies equation, evolution of HIV, evolutionary game theory, evolutionary stability, evolutionary graph theory, tumor evolution, stochastic tunneling, genetic progression of cancer, diffusion theory, fitness landscapes, branching processes, and evolutionary escape.
Resources
Lecture Notes
No.
Literature
- Evolutionary Dynamics. Martin A. Nowak. The Belknap Press of Harvard University Press, 2006. - Evolutionary Theory: Mathematical and Conceptual Foundations. Sean H. Rice. Sinauer Associates, Inc., 2004.
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 90 minutes
- Aids
- None
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Evolutionary Dynamics
The lecture takes place in person at D-BSSE in BASEL.
Attention: lecture and tutorial will start in the second week of the semester.
|
|
2 h weekly |
| exercise |
Evolutionary Dynamics
The lecture takes place in person at D-BSSE in BASEL.
Attention: lecture and tutorial will start in the second week of the semester.
|
|
1 h weekly |
| independent project |
Evolutionary Dynamics
Project Work (compulsory continuous performance assessment), no fixed presence required.
|
No time listed | 2 h weekly |
Offered In
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Anwendungsgebiet (Nur für das Master-Diplom in Angewandter Mathematik erforderlich und anrechenbar. In der Kategorie Anwendungsgebiet für den Master in Angewandter Mathematik muss eines der zur Auswahl stehenden Anwendungsgebiete gewählt werden. Im gewählten Anwendungsgebiet müssen mindestens 8 KP erworben werden. Kreditpunkte aus anderen Anwendungsgebieten sind nicht für weitere Anwendungsgebiete anrechenbar.)
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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: )