|
Teaching GuideTerm Faculty of Sociology |
| Máster Universitario en Métodos Avanzados de Investigación e Innovación na Análise Social |
 Subjects |
| Big Data for the Social Sciences |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Big Data for the Social Sciences | Code | 615545008 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Obligatory | 6 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Student portfolio | A6 A7 A11 A14 A15 A16 A17 A19 A20 A22 A24 A27 A28 | 0 | 53 | 53 |
| Workshop | A1 A6 A7 A8 A11 A14 A15 A16 A17 A19 A20 A22 A24 A27 A28 | 21 | 21 | 42 |
| Oral presentation | A7 A14 | 8 | 24 | 32 |
| Guest lecture / keynote speech | A1 A6 A8 A11 A16 A17 A19 A20 | 21 | 0 | 21 |
| Personalized attention | 2 | 0 | 2 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
|
