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Teaching GuideTerm Faculty of Computer Science |
Guía Provisional
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| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Data Engineering |
| Learning aims |
| Identifying Data | 2024/25 | |||||||||||||
| Subject | Data Engineering | Code | 614544002 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 3 | ||||||||||
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| Learning outcomes | Study programme competences / results | ||
| RA1: Develop the capacity to analyse and model data for processing in intelligent systems. | AC16 |
BC6 BC7 |
CC3 CC9 |
| RA2: Know and understand the process of extraction, cleaning, transformation, load and preprocessing of data. | AC16 |
BC2 BC3 BC8 |
CC3 CC7 CC9 |
| RA3: Know and learn how to use multidimensional and NoSQL databases. | BC3 BC4 BC7 |
CC8 |
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| RA4: Know the foundations of data lakes and data warehouses. | BC2 BC5 BC7 BC8 |
CC3 CC7 CC8 |
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