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Teaching GuideTerm Faculty of Computer Science |
Guía Provisional
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| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Data Engineering |
| Methodologies |
| 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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| 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. CONTINUOUS EVALUATION: Mandatory character Facultative attendance GLOBAL EVALUATION Mandatory character |
| Laboratory practice | 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. CONTINUOUS EVALUATION Mandatory character Mandatory attendance (min. 75% of lab practices) GLOBAL EVALUATION Mandatory character |
| Mixed objective/subjective test | The exam covers all the topics of the course. Students must develop, relate, organise and present the knowledge they have on each given topic in a reasoned and well-articulated answer. Learning results evaluated: RA1, RA3, RA4 |
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