Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
US-M1-BIOL60-004-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-BIOG-025 |
Objectives of general skills
- Skill 1: Have acquired highly specialised and integrated knowledge and broad skills inbiological sciences, adding to those covered in the Bachelor's programme in biological sciences.
- Skill 6: Apply scientific methodology.
- Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
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
General uni- and multivariate 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 | |
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S-BIOG-025 |
Mode of delivery
AA | |
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S-BIOG-025 |
Required Reading
AA | |
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S-BIOG-025 |
Required Learning Resources/Tools
AA | |
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S-BIOG-025 |
Recommended Reading
AA | |
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S-BIOG-025 |
Recommended Learning Resources/Tools
AA | |
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S-BIOG-025 |
Other Recommended Reading
AA | |
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S-BIOG-025 |