Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Data Engineering |
Learning aims |
Identifying Data | 2023/24 | |||||||||||||
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 | ||
Develop the capacity to analyse and model data for processing in intelligent systems. | AC16 |
BC6 BC7 |
CC3 CC9 |
Know and understand the process of extraction, cleaning, transformation, load and preprocessing of data. | AC16 |
BC2 BC3 BC8 |
CC3 CC9 |
Know and learn how to use multidimensional and NoSQL databases. | BC3 BC4 BC7 |
CC8 |
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Know the foundations of data lakes and data warehouses. | BC2 BC5 BC7 BC8 |
CC3 CC7 CC8 |
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