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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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