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.
Teaching hours
- Understanding Data Processing, Analysis, and Management2 - TutorialTutorials9 p.m.
Mandatory prerequisites
Have completed EU COUNTING 1
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 |
|
|
|
|
Additional information
Open to continuing education
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