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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Statistical Modeling of High Dimensional Data |
| Planning |
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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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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Oral presentation | A1 B2 B3 B4 C4 | 30 | 36 | 66 |
| ICT practicals | A9 A12 A17 A18 A19 A20 A26 A33 A3 A4 A5 A6 A8 B7 B9 B10 C1 C2 C3 | 14 | 21 | 35 |
| Multiple-choice questions | A19 A24 A25 A1 B3 B8 | 2 | 6 | 8 |
| Problem solving | A17 A33 A2 B2 B5 B6 B7 B8 B10 | 14 | 21 | 35 |
| Personalized attention | 6 | 0 | 6 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
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