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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Web Intelligence and Semantic Technologies |
| Learning aims |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Web Intelligence and Semantic Technologies | Code | 614544010 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Know, understand and analyse the different models for web search and mining | AC2 AC3 |
BC3 BC4 BC6 |
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| Know, understand and analyse the different models for semantic technologies | BC1 BC7 |
CC3 CC7 CC8 |
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| Know, understand and analyse the software platforms for the creation of these systems | AC1 |
BC10 |
CC2 |
| Know techniques, methods and good practices for the representation and publication of data and their subsequent consultation, using semantic technologies | AC2 AC3 |
BC1 BC6 |
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| Design, implement and know how to use algorithms and data structures for recommendation systems | AC2 |
BC7 |
CC7 CC8 |
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