ECOS1075 Methods in evolutionary genetics (5 cr)

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Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Department of Biological and Environmental Science
Curriculum periods:
2020-2021, 2021-2022, 2022-2023

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Evolutionary Genetics

Description

The course will introduce students to the use of genetic data in research in ecology and evolutionary biology. Hands-on exercises and small projects to analyze and interpret data using computer programs are used. Topics include population genetics and diversity, phylogenetic analyses, molecular evolution. The course develops critical thinking and emphasizes data management and open science principles. 


Learning outcomes

After completing the course, the student:
  • is able to apply analysis methods to genetic data
  • understands the basis of the used methods and their relevance to research in ecology and evolutionary biology
  • is able to critically interpret results

Additional information

Recommendation: First-year Masters studies. Attendance is strongly suggested, to ease the work and encourage understanding.

Description of prerequisites

BENA2008 Bioinformatics; BENA2024 Population Genetics or equivalent

Study materials

Research articles; Analysis instructions and Background texts available in the Moodle environment.

Completion methods

Method 1

Description:
Recommendation: First-year Masters studies. Attendance is strongly suggested, to ease the work and encourage understanding.
Evaluation criteria:
Learning Diary, In-class projects and reports.
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Parts of the completion methods
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Participation in teaching (5 cr)

Type:
Participation in teaching
Grading scale:
0-5
Language:
English
Study methods:

The course includes lectures; demonstrations and computer-based practical exercises for genetic data analysis. Attendance in all exercises is strongly encouraged. Course tasks, project reports and a learning diary are evaluated.

Teaching