 | Study programme 2018-2019 | Français | |
 | Science des données I : visualisation et inférence | ||
Programme component of Bachelor's Degree in Mathematics à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-B3-SCMATH-035-M | Optional UE | GROSJEAN Philippe | S807 - Ecologie numérique des milieux aquatiques |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 25 | 50 | 0 | 0 | 0 | 9 | 9.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-BIOG-006 | Data Sciences I : visualisation and inference | 25 | 50 | 0 | 0 | 0 | Q1 | 100.00% |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
- Understand "elementary" mathematics profoundly
- Understand the fundamentals of probability and statistics
- Solve new problems
- Use knowledge from different fields to address issues
- Use computers effectively
- Use at least one programming language
- Develop computer programs to solve problems with mathematical formulation
- Address literature and interact within other scientific fields
- Have a good knowledge of related fields using mathematics
Learning Outcomes of UE
To master software and statistical tools required for data science, more particularly, data importation, management and transformation, data visualization and inference. To present results clearly and adequately in a scientific report. To be able to analyze correctly usual biological data in practice.
Content of UE
Software R, RStudio, git & Markdown. Importation and transformation of datasets. Visualisation of uni-, bi-, and multivariate data. Descriptive statistics; Mean; Median; Standard deviation; Variance; Q-Q plot; Boxplot; Histogram; Statistical population; Sampling; Inference; Probabilities; Statistic distribution; Central limit theorem; Confidence interval; Hypothesis test; Parametric and non parametric tests; Binomial, Poisson, Chi-2, Normal, Student t and F distributions; Student t-test; One and two factors ANOVA; Wilkoxon-Mann-Withney test, Kruskal-Wallis test; Correlation; Pearson; Spearman.
Prior Experience
Basic use of a computer. Bases in calculus, including logarithm and exponential, cartesian coordinate system and elementary geometry in 2D and 3D.
Type of Assessment for UE in Q1
- Presentation and/or works
- Written examination
- Quoted exercices
- eTest
Q1 UE Assessment Comments
Final grade made of different parts: - Continuous evaluation of the progression - Participation in flipped classes - Output during practical sessions - Evaluation of a report of data analysis - Written exam
Type of Assessment for UE in Q3
- Presentation and/or works
- Written examination
- Quoted exercices
- eTest
Q3 UE Assessment Comments
Similar to Q1.
Type of Resit Assessment for UE in Q1 (BAB1)
- N/A
Q1 UE Resit Assessment Comments (BAB1)
Not applicable.
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-BIOG-006 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| S-BIOG-006 |
|
Required Reading
| AA | |
|---|---|
| S-BIOG-006 |
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| S-BIOG-006 | Not applicable |
Recommended Reading
| AA | |
|---|---|
| S-BIOG-006 |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| S-BIOG-006 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| S-BIOG-006 | 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). |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| S-BIOG-006 | Authorized |