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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Data Engineering |
| Methodologies |
| 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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| Methodologies | Description |
| Guest lecture / keynote speech | The teacher will introduce given subjects to the students with the aim to acquire information valuable within a specific scope. |
| Practical test: | Problem or problems of practical character whose resolution requires the understanding and application of the theoretical and practical contents covered by the course. The students can work the solution to the proposed problems individually or in groups. |
| Problem solving | A project whose scope and aims require that the students work autonomously, although under the supervision of the teachers. |
| Supervised projects | Practical projects whose scope requires a significant fraction of the total dedication of the student to the course. Besides, the scale of these projects requires that the students apply management skills in addition to technical skills. |
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