Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Networks |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Networks | Code | 614G03013 | |||||||||||
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 | A4 A5 A6 B5 B7 | 30 | 30 | 60 |
Laboratory practice | A4 A5 A6 B2 B5 B7 C3 | 30 | 30 | 60 |
Seminar | A4 A5 A6 B2 | 1 | 10 | 11 |
Objective test | A4 A5 A6 B2 B7 | 3 | 15 | 18 |
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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