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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Statistical Analysis of Complex Data |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Statistical Analysis of Complex Data | Code | 614G02031 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
| Oral presentation | A3 B2 B3 B4 C4 | 21 | 31.5 | 52.5 |
| ICT practicals | A17 A20 A3 B2 B3 B4 B6 B7 B8 B9 B10 C1 | 7 | 24.5 | 31.5 |
| Supervised projects | A17 A20 A3 B2 B3 B4 B6 B7 B9 B10 C1 | 3.5 | 15.75 | 19.25 |
| Problem solving | A17 B2 B7 B8 B10 | 7 | 28 | 35 |
| Mixed objective/subjective test | A20 A3 B2 B3 B4 B8 C1 | 1.5 | 3 | 4.5 |
| Mixed objective/subjective test | A20 A3 B2 B3 B4 B8 C1 | 1.5 | 3.75 | 5.25 |
| Personalized attention | 2 | 0 | 2 | |
| (*)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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