Universität Wien

470004 VO+SE Molecular Population Genetics: making sense of sequence data (2020S)

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine

Every Monday during term 9:00 - 11:30, Seminar room 09.143, 9th floor Mathematics Department, Oskar-Morgenstern-Platz 1, 1090 Vienna. Begin: 02nd March 2020


Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Advanced course in population genetics to introduce modern research topics. The course consists of five modules on i) selection inference sweeps ii) complex traits iii) association mapping vi) selfish elements v) comparative genomics / phylogenomics. Each module is taught by a different expert from various institutions in Vienna, providing students with an overview of active research topics. Modules are structured in an intro lecture and two seminar units. Seminars are based on key research papers, computational tools and/or biological data to provide a first-hand insight into current research themes.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The grade is based on 5 assignments (one per module), eg an essay on a research paper or research topic (~ 5-7 pages including references and figures).

Mindestanforderungen und Beurteilungsmaßstab

The modules require basic knowledge of population genetics, on the level of an intro lecture into population genetics. Interested students who have never attended a population genetics course should contact J. Hermisson in advance to discuss whether attending the advanced course makes sense. All five assignments need to be fulfilled and contribute with equal weight to the final grade. A "fail" grade in at most one assignment is admitted to pass the course.

Prüfungsstoff

Topics of assignments, see above.

Literatur

Literature and reading assignments will be given during the course.

Zuordnung im Vorlesungsverzeichnis

PhD, MES5, MBIV

Letzte Änderung: Mi 11.03.2020 00:06