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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Data Engineering |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| 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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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | B4 B5 C3 C9 | 12 | 0 | 12 |
| Practical test: | A17 B2 B5 B7 C3 | 8 | 0 | 8 |
| Problem solving | A17 B2 B4 B7 C7 C9 | 0 | 50 | 50 |
| Supervised projects | A17 B2 B3 B6 B7 B8 C7 C8 | 5 | 0 | 5 |
| Personalized attention | 0 | 0 | ||
| (*)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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