Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Intelligent IoT |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Intelligent IoT | Code | 614544023 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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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 A10 A15 A28 B1 B6 C5 C8 | 10 | 10 | 20 |
ICT practicals | A9 A14 A16 A21 A31 B2 B5 C9 | 11 | 11 | 22 |
Mixed objective/subjective test | A20 A22 A23 A29 A30 B4 B7 B9 B10 | 1 | 31 | 32 |
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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