636-0009-00L  Evolutionary Dynamics

SemesterHerbstsemester 2018
DozierendeN. Beerenwinkel
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch



Lehrveranstaltungen

NummerTitelUmfangDozierende
636-0009-00 VEvolutionary Dynamics
The lecture will be held each Thursday in Basel (BSA E 46) and will be transmitted via videoconference to Zürich (HG D 16.2).
Attention: lecture starts September 27
2 Std.
Do09-11BSA E 46 »
09-11HG D 16.2 »
N. Beerenwinkel
636-0009-00 UEvolutionary Dynamics
Attention: Lecture and Tutorial only start Thursday, September 27
1 Std.
Do11-12BSA E 46 »
11-12HG D 16.2 »
N. Beerenwinkel
636-0009-00 AEvolutionary Dynamics
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 Std.N. Beerenwinkel

Katalogdaten

KurzbeschreibungEvolutionary 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.
LernzielThe goal of this course is to understand and to appreciate mathematical models and computational methods that provide insight into the evolutionary process.
InhaltEvolution 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, birth-death processes, evolutionary stability, evolutionary graph theory, somatic evolution of cancer, stochastic tunneling, cell differentiation, hematopoietic tumor stem cells, genetic progression of cancer and the speed of adaptation, diffusion theory, fitness landscapes, neutral networks, branching processes, evolutionary escape, and epistasis.
SkriptNo.
Literatur- 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.
Voraussetzungen / BesonderesPrerequisites: Basic mathematics (linear algebra, calculus, probability)

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte6 KP
PrüfendeN. Beerenwinkel
FormSessionsprüfung
PrüfungsspracheEnglisch
RepetitionDie Leistungskontrolle wird nur in der Session nach der Lerneinheit angeboten. Die Repetition ist nur nach erneuter Belegung möglich.
Prüfungsmodusmündlich 20 Minuten
Zusatzinformation zum PrüfungsmodusRepetition possible only with re-enrollment, including projects.
The final grade is 70% oral session examination and 30% project. The practical projects are compulsory continuous performance assessments (60 hours of work, 2 credits) of the course. The project has to be re-run in case of a repetition.
Diese Angaben können noch zu Semesterbeginn aktualisiert werden; verbindlich sind die Angaben auf dem Prüfungsplan.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

Keine zusätzlichen Belegungseinschränkungen vorhanden.

Angeboten in

StudiengangBereichTyp
Biologie MasterWahlpflicht Masterkurse II: BiologieWInformation
Computational Biology and Bioinformatics MasterBioinformaticsWInformation
Computational Biology and Bioinformatics MasterKernfächerWInformation
Mathematik MasterBiologyWInformation