| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
|---|---|---|---|
| S-INFO-032 |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 15 | 0 | 15 | 0 | 0 | Q1 |
Contents
Space-time series; machine learning; random forest; discriminant analysis; nonlinear regression; growth model; doe-response curve; Von Bertallanffy; Richards; Weibull; Gompertz; R software.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Venables W.N. & B.D. Ripley, 2002. Modern applied statistics with S-PLUS (4th ed.). Springer, New York, 495 pp.
Other Recommended Reading
Legendre, P. & L. Legendre, 1998. Numerical ecology (2nd ed.). Springer Verlag, New York. 587 pp.
Pinhero, J. C. & D. M. Bates, 2000. Mixed-effects models in S and S-PLUS. Springer, New York. 528 pp.
Zar, J.H., 2010. Biostatistical analysis (5th ed.). Pearson Education, London. 944pp.
Mode of delivery
- Face to face
Term 1 Assessment - type
- Oral examination
Term 1 Assessment - comments
Preparation of a theoretical subject, or based on a partly solved dataset during 1/2h. Discussion around this question (explanation of the method, what to do next, others methods appliable on such data, etc.)
Term 2 Assessment - type
- Oral Examination
Term 2 Assessment - comments
Preparation of a theoretical subject, or based on a partly solved dataset during 1/2h. Discussion around this question (explanation of the method, what to do next, others methods appliable on such data, etc.)
Term 3 Assessment - type
- Oral examination
Term 3 Assessment - comments
Preparation of a theoretical subject, or based on a partly solved dataset during 1/2h. Discussion around this question (explanation of the method, what to do next, others methods appliable on such data, etc.)
Resit Assessment - Term 1 (B1BA1) - type
- Oral examination
Resit Assessment - Term 1 (B1BA1) - Comments
Preparation of a theoretical subject, or based on a partly solved dataset during 1/2h. Discussion around this question (explanation of the method, what to do next, others methods appliable on such data, etc.)
Type of Teaching Activity/Activities
- Cours (cours magistraux; conférences)
- Préparations, travaux, recherches d'information