ECOS1100 Foundations of Statistics for Ecology and Evolution (6 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:

2017-2018, 2018-2019, 2019-2020

Description

Content

The aim of this corse is to provide solid conceptual foundation and basic technical skills (using R) for the use of statistical modelling in ecological and evolutionary research. The course does not seek to be exhaustive of all techniques nor intensive in any given one. It covers both frequentist and bayesian approaches. Course aimed for Masters (and PhD) students.

Completion methods

Lectures, practicals, homework and discussion sessions.Considerable workload outside the class with weekly homework assignments (group or individual) and a final project.

Assessment details

A pass/fail course where a pass requires an average grade 3 (combines homeworks, exam and individual project). Grading scheme incorporates student progress in learning (cf. previous/current knowledge) and participation.

Learning outcomes

To acquire the tools and concepts for using statistics in research: (1) critical evaluation, (2) choice, (3) implementation (in R), (4) interpretation and (5) further independent learning of statistical approaches.

Description of prerequisites

Collected own data.

Completion methods

Method 1

Select all marked parts

Parts of the completion methods

Unpublished assessment item