|
Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Data Management in Intelligent Scenarios |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Data Management in Intelligent Scenarios | Code | 614G02041 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A11 A13 A15 A23 A25 A28 C4 | 21 | 51 | 72 |
| Mixed objective/subjective test | A11 A13 A15 A23 A25 A27 A28 B2 B3 B4 B7 B8 B9 B10 C1 C4 | 3 | 0 | 3 |
| ICT practicals | A11 A13 A15 A23 A25 A27 B2 B3 B4 B7 B8 B9 B10 C1 | 21 | 51 | 72 |
| Personalized attention | 3 | 0 | 3 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
|
