 | Study programme 2019-2020 | Français | |
| Bio-informatics and data sciences | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| S-BIOG-921 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 0 | 75 | 0 | 0 | 0 | Q1 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
|---|
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Content of Learning Activity
The chapters of this AA are:
- Introduction - Software & tools (Software R, RStudio, git & Markdown)
- Visualisation I - Scatterplot
- Visualisation II - Distributions
- Visualisation III - Barplot/boxplot
- Data processing I - Importation/conversion
- Data processing II - Contingency/sampling
- Data processing III - Multi-tables/databases
- Experimental design & good practices
- Probabilities & distributions
- Chi-2 test, proportions & correlations
- Confidence interval/Student test
- Analysis of variance
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).
Cornillon, P.A. Et al, 2008. Statistiques avec R. Presses Universitaires de Rennes. 257pp.
Dagnelie, P., 2007. Statistique théorique et appliquée, Volumes I et II (2ème ed.). De Boeck & Larcier, Bruxelles. 511pp (vol. I) 734pp (vol. II).
Zar, J.H., 2010. Biostatistical analysis (5th ed.). Pearson Education, London. 944pp.
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
- Face to face
- Mixed
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)