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Big Data in Social Research - course description

General information
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
Course information
Semester 4
ECTS credits to win 4
Course type optional
Teaching language english
Author of syllabus
  • dr Tomasz Kołodziej
Classes forms
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

Aim of the course

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. 

Prerequisites

Scope

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

Teaching methods

Group work, discussions, computer work, e-learning, blended learning

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

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.

Recommended reading

  1. Arnaboldi, M. (2018). The missing variable in big data for social sciences: The decision-maker. Sustainability, 10(10), 3415.
  2. Daries, J. P., Reich, J., Waldo, J., Young, E. M., Whittinghill, J., Ho, A. D., ... & Chuang, I. (2014). Privacy, anonymity, and big data in the social sciences. Communications of the ACM, 57(9), 56-63.
  3. Felt, M. (2016). Social media and the social sciences: How researchers employ Big Data analytics. Big Data & Society, 3(1), 2053951716645828.
  4. Hesse, B. W., Moser, R. P., & Riley, W. T. (2015). From big data to knowledge in the social sciences. The Annals of the American Academy of Political and Social Science, 659(1), 16-32.Manovich, L. (2011). Trending: The promises and the challenges of big social data. Debates in the digital humanities, 2(1), 460-475.
  5. Karamshuk, D., Shaw, F., Brownlie, J., & Sastry, N. (2017). Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide. Online Social Networks and Media, 1, 33-43.
  6. Ovadia, S. (2013). The role of big data in the social sciences. Behavioral & Social Sciences Librarian, 32(2), 130-134.

Further reading

Notes


Modified by dr Tomasz Kołodziej (last modification: 15-04-2022 12:58)