Study programme 2020-2021 | Français | ||
Data Sciences V : reproducible research | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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S-BIOG-077 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
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Français | Français | 0 | 30 | 0 | 0 | 0 | Q1 |
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) |
Evaluation of a practical exercise submitted in the form of a Github repository |
Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)
Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)
Evaluation of a practical exercise submitted in the form of a Github repository
Content of Learning Activity
The chapters of this AA are :
- Code organization, OOP
- Code testing & code optimization
- Packages & continuous integration
- Databases SQL & noSQL
- Parallel and cloud computing
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). Chambers, J.M., 2008. Software for data analysis. Programming with R. Springer, New York, 498pp. Dagnelie, P., 2007. Chambers, J.M., 1998. Programming with data. A guide to the S language. Springer, New York, 469pp. Fortner, B., 1995. The data handbook. A guide to understanding the organization and visualization of technical data. Springer, New York, 350pp.
Mode of delivery
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)