SylabUZ
Course name | Big Data in Social Research |
Course ID | 14.2--D-BDiSR-S22 |
Faculty | Faculty of Social Sciences |
Field of study | Sociology |
Education profile | academic |
Level of studies | Second-cycle studies leading to MS degree |
Beginning semester | winter term 2022/2023 |
Semester | 4 |
ECTS credits to win | 4 |
Course type | optional |
Teaching language | english |
Author of syllabus |
|
The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Class | 30 | 2 | - | - | Credit with grade |
The aim of the course is to familiarize students with the issues of BIG DATA and the possibilities of using BIG DATA in social sciences, as well as using this knowledge in practice.
1. BIG DATA- genesis and characteristics of the phenomenon
2. Sources and types of data
3. Denetization
4. BIG DATA as a method (s) in social research
5. Advantages and limitations of using BIG DATA
6. Examples of BIG DATA use
Group work, discussions, computer work, e-learning, blended learning
Outcome description | Outcome symbols | Methods of verification | The class form |
FORMA ZALICZENIA ĆWICZEŃ |
UWAGI |
Zaliczenie na ocenę |
Yes |
Warunki zaliczenia |
Receiving a positive assessment of the tasks carried out during the classes. The final grade is the average of the partial grades. |
Modified by dr Tomasz Kołodziej (last modification: 15-04-2022 12:58)