Teaching GuideTerm Faculty of Sociology |
Grao en Socioloxia |
Subjects |
Multivariate Analysis of Social Data |
Methodologies |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Multivariate Analysis of Social Data | Code | 615G01206 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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Methodologies | Description |
Guest lecture / keynote speech | The explanation of the theoretical content of each of the topics will take place in the classroom from previous readings that students had to perform. These readings are the basic bibliography of the subject and are available in the school library. The objective test will be based on the knowledge of those basic readings. |
ICT practicals | Throughout the development of the sessions, some ICT practices will be made about any of the analytical techniques taught. The completion of each practice will involve mastering any computer application for data analysis. |
Mixed objective/subjective test | At the end of the sessions there will be a theoretical mixed test for students to show their understanding of the concepts studied. |
Supervised projects | The teacher will assign a research topic to each group in order to apply the analytical techniques studied to a secondary database. This supervised work will be done in groups of no more than three students. |
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