Program Overview

Program Overview

The University of Copenhagen offers a course in Molecular Ecology, which aims to provide students with knowledge and skills in applying molecular data to answer ecological questions.

Course Description

The course focuses on the application of molecular data to ecological and population genetic questions. Students will learn to handle and analyze different types of molecular data and apply them to answer ecological and population genetic questions. The course takes a practical approach, using real biological cases to solve concrete problems.

Learning Objectives

After completing the course, students will have:

• Theoretical and practical knowledge of population genetic approaches to ecological questions
• Skills in applying statistical methods to molecular data
• Ability to analyze and interpret molecular data
• Knowledge of genetic markers and their molecular background
• Understanding of population structure and differentiation
• Familiarity with common statistical methods and their application

Course Structure

The course consists of:

• Lectures
• Project work
• Exercises
• Discussions
• Presentations

Assessment

The course is assessed through a 20-minute oral exam, which is based on a scientific article provided one week before the exam, as well as on the general material covered in the course.

Course Details

• Course type: Single subject course
• ECTS: 7.5
• Level: Bachelor
• Duration: 1 block
• Language: Danish
• Capacity: No limitation
• Department: Department of Biology
• Faculty: Faculty of Science

Teaching Staff

The course is taught by:

• Søren Rosendahl
• Josefin Stiller
• Rasmus Heller
• Morten Tange Olsen
• Morten Limborg

Recommended Prerequisites

It is expected that students have passed the obligatory courses on the bachelor's program and have a basic knowledge of R.

Workload

The estimated workload for the course is:

• Lectures: 12 hours
• Project work: 30 hours
• Exercises: 40 hours
• Preparation: 113.5 hours
• Exam: 0.5 hours
• Total: 206 hours

Timetable

The course is scheduled for block 2, with lectures and project work on Tuesdays and Thursdays.