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Stochastic Models for Genetic Evolution (BM)


Admission requirements

Basic probabilty theory. Basic analysis. Theory of Markov processes.


The goal of this course is to present a series of stochastic models from population dynamics capable of describing rudimentary aspects of DNA sequence evolution. Most of the course focuses on the Wright-Fisher model and its variations,
describing a population of individuals (= genes) of different types (= alleles) organised into a single colony and subject to resampling, mutation and selection, as well as populations organised into multiple colonies subject to migration. These models capture core phenomena arising in population genetics, including evolution and genealogy.

Course Objectives

Basic understanding of population genetics from a mathematical perspective.


The schedule for the course can be found on MyTimeTable.

Mode of instruction

weekly lectures

Assessment method

Oral exam

Reading list

Lecture notes will be made available via Brightspace


From the academic year 2022-2023 on every student has to register for courses with the new enrollment tool MyStudyMap. There are two registration periods per year: registration for the fall semester opens in July and registration for the spring semester opens in December. Please see this page for more information.

Please note that it is compulsory to both preregister and confirm your participation for every exam and retake. Not being registered for a course means that you are not allowed to participate in the final exam of the course. Confirming your exam participation is possible until ten days before the exam.
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Contact via email: denholla[at]