ECOS1100 Foundations of Statistics for Ecology and Evolution (5–6 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:
2020-2021, 2021-2022, 2022-2023

Description

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.


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.

Additional information

Recommended prerequisites:

completed ECOS1074 Experimental design

collected own data (for 6 ECT)

Description of prerequisites

Collected own data.

Recommended prerequisites

Completion methods

Method 1

Description:
5 cr Attendance and participation in classes, completion of group and individual homework assignments, final test
Evaluation criteria:
Grading scheme incorporates student progress in learning (cf. previous/current knowledge) and participation.
Select all marked parts
Parts of the completion methods
x

Participation in teaching (5–6 cr)

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

5 cr Attendance and participation in classes, completion of group and individual homework assignments, final test. 6 cr like 5 cr, but assignment using previously collected data. Recommended for PhD students.

Teaching