Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Software Engineering |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Software Engineering | Code | 614G03009 | |||||||||||
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 | A2 A3 B2 B6 B8 B9 C3 C6 | 30 | 30 | 60 |
Laboratory practice | A2 A3 B2 B4 B5 B6 B7 B8 B9 C2 C3 C6 | 30 | 48 | 78 |
Objective test | A2 A3 B2 B6 B8 B9 C6 | 2 | 10 | 12 |
Personalized attention | 0 | 0 | 0 | |
(*)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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