 | Study programme 2020-2021 | Français | |
| Data Science I: Inference | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| S-BIOG-027 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 0 | 35 | 0 | 0 | 0 | Q2 |
| Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19) |
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| Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19) |
| Grading is based on projects and exercises done during the courses, plus the same additional GitHub as for the other aa. The value is calculated in a similar way to Q1. Final grade for the UE is the mean of the two AA grades. If the student fails at the UE, both AA must be redone, even if the note of one of them is over 10/20. |
Organisational arrangements for the end of Q2 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)
- Production of individual or group work, essay, report, dissertation...
Description of the modifications to the Q2 2020-2021 assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)
Grading is based on projects and exercises done during the courses. The value is calculated in a similar way to Q1. Final grade for the UE is the mean of the two AA grades. If the student fails at the UE, both AA must be redone, even if the note of one of them is over 10/20.
Content of Learning Activity
The chapters of this AA are:
- Probabilities & distributions
- Chi-2 test
- Confidence interval/Student test
- Analysis of variance
- Correlation and correlation test
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Barnier, J., 2018. Introduction à R et au tidyverse (https://juba.github.io/tidyverse/index.html). Ismay, Ch. & Kim A.Y, 2018. Moderndive: An introduction to statistical and data science via R (http://moderndive.com). Wickham, H. & Grolemund, G, 2017. R for data science (http://r4ds.had.co.nz). Zar, J.H., 2010. Biostatistical analysis (5th ed.). Pearson Education, London. 944pp. Dagnelie, P., 2007. Statistique théorique et appliquée, Volumes I et II (2ème ed.). De Boeck & Larcier, Bruxelles. 511pp (vol. I) 734pp (vol. II). Venables W.N. & B.D. Ripley, 2002. Modern applied statistics with S-PLUS (4th ed.). Springer, New York, 495 pp. Legendre, P. & L. Legendre, 1998. Numerical ecology (2nd ed.). Springer Verlag, New York. 587 pp.
Mode of delivery
- Mixed
Type of Teaching Activity/Activities
- Travaux pratiques
- Exercices de création et recherche en atelier
- Projet sur ordinateur
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)