• ECTS

    3 credits

  • Training structure

    Faculty of Science

Description

This module complements the knowledge covered in Semester 1 in the COUNTING 1 module. It provides an in-depth understanding of the tools used to collect and analyze naturalist data. It also introduces new skills in data processing. This will be divided into three sequences as follows:

Sequence 1: Databases and processing

Structure, construction, and use of databases necessary for the management and analysis of naturalistic data.

Sequence 2: Monitoring populations

Tools for studying population dynamics (e.g., Capture-Mark-Recapture [CMR] method, Site Occupancy models).

Sequence 3: Using multivariate analyses

Presentation of multivariate analyses (e.g., Principal Component Analysis [PCA]), mainly applied in relation to phytosociology and habitats.

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Teaching hours

  • Understanding Data Processing, Analysis, and Management2 - TutorialTutorials9 p.m.

Mandatory prerequisites

Have completed EU COUNTING 1

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Knowledge assessment

trial

coefficient

Number of hours

Number of Sessions

Organization (FDS or local)

Written

 

 

 

 

Continuous Monitoring

100%

2 hours and 15 minutes

3

local

TP

 

 

 

 

Oral

 

 

 

 

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Additional information

Open to continuing education

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Targeted skills

- E-4 Know how to use statistical knowledge to implement a sampling and/or experimentation plan

- E-5 Be able to describe data numerically and represent it graphically

- E-7 Know how to use a spreadsheet and R software for simple statistical analyses, calculations, and data manipulation and representation.

- I-9 Know how to represent information in an illustrated form (graph, diagram, drawing, photo, video)

- I-17 Be able to use computer tools for data entry, analysis, and backup (spreadsheet, R)

- C-9 Know how to use tools for describing biodiversity at different scales

- D-2 Knowing how to adapt to a new context

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