Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Databases |
Planning |
Identifying Data | 2023/24 | |||||||||||||
Subject | Databases | Code | 614G03010 | |||||||||||
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 / Results | Teaching hours (in-person & virtual) | 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. |
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