 | Study programme 2020-2021 | Français | |
| Streaming Data Analysis | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MARO-016 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 12 | 12 | 0 | 0 | 0 | Q1 |
| Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19) |
|---|
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Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)
- Production of individual or group work, essay, report, dissertation...
Content of Learning Activity
univariate time series (decomposition: trend, seasonality, cyclic component); ARIMA models and Box-Jenkins methodology; exponential smoothing; overview of multivariate time series.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
C. Chatfield, The analysis of time series, Chapman and Hall, 1989
G. Mélard, Méthodes de prévision à court terme, Editions de l'Université Libre de Bruxelles et Editions Ellipses, 1990
Mode of delivery
- Mixed
Type of Teaching Activity/Activities
- Cours magistraux
- Travaux pratiques
- Travaux de laboratoire
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)