250106 VO Mathematical population genetics (2025S)
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An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
Details
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Montag 03.03. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 06.03. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 13.03. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 17.03. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 20.03. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 27.03. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 31.03. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 03.04. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 10.04. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- N Montag 28.04. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 08.05. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 12.05. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 15.05. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 22.05. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 26.05. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 05.06. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 12.06. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 23.06. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 26.06. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Population genetics aims to understand the genetic diversity observed in existing populations and to use these observations to infer the evolutionary forces shaping contemporary genetic data. The field traces its origins to Mendel's groundbreaking work in the 19th century, where he first formulated the laws of inheritance. About 50 years later, Fisher laid the mathematical foundations of population genetics in his seminal book The Genetic Theory of Natural Selection. Remarkably, theoretical predictions in population genetics emerged through mathematical formalism long before the molecular basis of inheritance—DNA—was discovered, making it one of the most significant achievements of applied mathematics.In this course, I will introduce the fundamental concepts of the theory. I will begin with the deterministic framework, covering the effects of selection on single and multiple loci (including recombination). I will then explore the stochastic aspects of the theory, including genetic drift, coalescent theory, and branching processes.
Art der Leistungskontrolle und erlaubte Hilfsmittel
The exam will be either a written or an oral exam.The performance of the students will be based on the material covered during class and in the documents posted on Moodle.There will be no aids during the exam (closed book examination)
Mindestanforderungen und Beurteilungsmaßstab
At the end of the class, the students should have a reasonable expertise in the material covered during class.Most of the questions will be a direct application of the covered material. One or two questions will be more involved to distinguish the best students.
Prüfungsstoff
Deterministic and stochastic aspects of Population Genetics based on the material covered during class and in written manuscript posted on Moodle.
Literatur
A written manuscript will be posted on Moodle
Zuordnung im Vorlesungsverzeichnis
MBIG
Letzte Änderung: Mi 19.03.2025 17:06