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Evolutionary Dynamics
Last Updated: 2026-06-03 00:07:31
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 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.
|
No time listed | 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.
|
No time listed | 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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Application Area (Only necessary and eligible for the Master degree in Applied Mathematics. One of the application areas specified must be selected for the category Application Area for the Master degree in Applied Mathematics. At least 8 credits are required in the chosen application area. Credits from other application areas cannot be recognised for further application areas.)
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Computational Biology and Bioinformatics Master (More information at: )
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Core Courses (The list of core courses is a closed list - no other courses can be added in this category. The assignment of the courses to the respective subcategory cannot be changed. Students must pass at least one course in each subcategory. A total of 40 ECTS must be acquired in the core course category, including the mandatory CBB seminar.)
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Doktorat Biosysteme (Mehr Informationen unter: )