|
Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Databases |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Databases | Code | 614G03010 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A8 B2 B5 B9 | 23 | 23 | 46 |
| Problem solving | B2 B5 B7 C3 | 22 | 33 | 55 |
| Laboratory practice | B2 B5 B7 C2 C3 | 18 | 27 | 45 |
| Mixed objective/subjective test | A8 B2 B7 B9 C3 | 3 | 0 | 3 |
| Personalized attention | 1 | 0 | 1 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
|
