Teaching GuideTerm Faculty of Sociology |
Máster Universitario en Métodos Avanzados de Investigación e Innovación na Análise Social (a distancia) |
Subjects |
Big Data for the Social Sciences |
Planning |
Identifying Data | 2023/24 | |||||||||||||
Subject | Big Data for the Social Sciences | Code | 615545008d | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Obligatory | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | 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 | 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. |
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