Universität Wien FIND
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550001 VO+SE Molecular Population Genetics: making sense of sequence data (2022S)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Every Monday during term 9:00 - 11:30. Online or Seminar room 09.143, 9th floor Mathematics Department, Oskar-Morgenstern-Platz 1, 1090 Vienna (depending on the pandemic). Please register in time that we have a full student list (with emails) as soon as possible.

Monday 28.03. 09:00 - 11:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

Aims, contents and method of the course

Advanced course in population genetics to introduce modern research topics. The course consists of five modules on i) background selection and hitchhiking ii) complex traits iii) association mapping iv) polygenic adaptation v) selfish elements vi) comparative genomics / phylogenomics. Each module is taught by a different lecturer 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.

Assessment and permitted materials

The grade is based on 6 assignments (one per module), eg an essay on a research paper or research topic (~ 5-7 pages including references and figures).

Minimum requirements and assessment criteria

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

Examination topics

Topics of assignments, see above.

Reading list

Literature and reading assignments will be given during the course.

Association in the course directory

PhD, MES5, MBIV

Last modified: Mo 21.03.2022 10:30