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Teaching GuideTerm Faculty of Law |
| Máster Universitario en Dereito Dixital e da Intelixencia Artificial |
 Subjects |
| Research Methodology |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Research Methodology | Code | 612539011 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Document analysis | A1 A20 B7 B9 B11 B12 B20 C2 C8 | 3 | 6 | 9 |
| Guest lecture / keynote speech | A17 A20 B9 B10 B16 B20 B23 C8 | 8 | 16 | 24 |
| Supervised projects | A17 A20 B1 B7 B9 B10 B12 B16 B17 B23 C1 C2 C3 C8 | 4 | 32 | 36 |
| Mixed objective/subjective test | A17 B7 B9 B16 B20 B23 C1 C3 | 1 | 0 | 1 |
| Events academic / information | A1 A17 B7 B20 B23 C8 | 2 | 0 | 2 |
| Personalized attention | 3 | 0 | 3 | |
| (*)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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