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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent IoT |
| Learning aims |
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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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| Learning outcomes | Study programme competences | ||
| To know and to analyze the implication of remote intelligent sensing in the environment. To know how decentralized data analysis techniques work in perimeter or federated learning environments. | AC7 AC8 AC9 AC13 AC14 AC15 AC19 AC20 AC21 AC22 AC27 AC28 AC29 AC30 |
BC1 BC2 BC4 BC5 BC6 BC7 BC9 BC10 |
CC5 CC8 CC9 |
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