| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-M1-SCINFO-022-M | Compulsory UE | GROSJEAN Philippe | S807 - Ecologie numérique des milieux aquatiques |
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 0 | 0 | 0 | 0 | 0 | 3 | 3 |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | |
|---|---|---|---|---|---|---|---|---|
| S-INFO-032 |
Objectives of general skills
- Develop and integrate a high degree of autonomy.
- Develop and integrate a high degree of autonomy to evolve in new contexts.
UE's Learning outcomes
To be able to analyze correctly biological data with time-dependencies, to fit a nonlinear model (cinetic curve, growth model, dose-response curve, etc.) and to find useful information in a large dataset using data mining tools.
UE Content
Space-time series; machine learning; random forest; discriminant analysis; nonlinear regression; growth model; doe-response curve; Von Bertallanffy; Richards; Weibull; Gompertz; R software.
Prior experience
Basic statistics.
Term 1 for Integrated Assessment - comments
Not applicable
Term 2 for Integrated Assessment - comments
Not applicable
Term 3 for Integrated Assessment - comments
Not applicable
Resit Assessment for IT - Term 1 (B1BA1) - Comments
Not applicable
Type of Teaching Activity/Activities
| AA | |
|---|---|
| S-INFO-032 |
Mode of delivery
| AA | |
|---|---|
| S-INFO-032 |
Required Reading
| AA | |
|---|---|
| S-INFO-032 |
Required Learning Resources/Tools
| AA | |
|---|---|
| S-INFO-032 |
Recommended Reading
| AA | |
|---|---|
| S-INFO-032 |
Recommended Learning Resources/Tools
| AA | |
|---|---|
| S-INFO-032 |
Other Recommended Reading
| AA | |
|---|---|
| S-INFO-032 |