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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Spatiotemporal Data Representation and Management |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Spatiotemporal Data Representation and Management | Code | 614G02035 | |||||||||||
| 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 | Ordinary class hours | Student’s personal work hours | Total hours |
| ICT practicals | A7 A8 B2 B4 B7 B8 C1 C4 | 10 | 26 | 36 |
| Problem solving | B2 B3 B4 B7 C1 C4 | 10 | 30 | 40 |
| Supervised projects | B2 B3 B4 B7 B8 B9 B10 C1 | 1 | 27 | 28 |
| Mixed objective/subjective test | A7 A8 B4 B7 | 2 | 0 | 2 |
| Guest lecture / keynote speech | A7 A8 B3 C4 | 21 | 19 | 40 |
| Personalized attention | 4 | 0 | 4 | |
| (*)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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