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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Statistical Modeling of High Dimensional Data |
| Learning aims |
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| Identifying Data | 2021/22 | |||||||||||||
| Subject | Statistical Modeling of High Dimensional Data | Code | 614G02013 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Knowledge related to the main techniques of multivariate statistical analysis. | A17 |
B2 B8 B9 B10 |
C1 |
| Awareness of the main problems when working with high dimensional data. | A17 A20 |
B2 B3 B9 B10 |
C1 |
| Ability to select the main variables and models in real data problems. | A17 A20 |
B2 B3 B8 B9 |
C1 |
| Ability to apply the main techniques of multivariate analysis to real or simulated datasets. | A17 A20 |
B2 B3 B7 B8 B9 B10 |
C1 |
| Ability to interpret the results and awareness of the limitations of the different models related to multivariate statistical analysis. | A17 A20 |
B2 B3 B7 B8 B9 B10 |
C1 |
| Ability to work with advanced software related to statistical analysis. | A20 |
B2 B10 |
C1 |
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