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Social Research in The Field of IT - course description

General information
Course name Social Research in The Field of IT
Course ID 14.2-WP-SOCDA-BSIT
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 2020/2021
Course information
Semester 2
ECTS credits to win 2
Course type obligatory
Teaching language polish
Author of syllabus
  • dr hab. Dorota Szaban, prof. UZ
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
Lecture 15 1 - - Credit with grade

Aim of the course

The aim of the course is to familiarize students with the opportunities  of using social research in reality related to information technologies and digital services.

Prerequisites

-

Scope

  1. Data-based policy
  2. A sociologist in the world of BIG DATA
  3. Social informatics
  4. Opportuniities of using social research in the IT world
  5. Quantitative and qualitative research in the IT world
  6. Modern technologies in social research
  7. Ethical aspects of social research in the world of modern technologies

Teaching methods

Conventional lecture, presentation, discussion

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Written mid-term exam in the form of the test. Minimum points threshold required to pass - 50%.

Recommended reading

  1. Social Informatics: An Information Society for All?, red. J. Berleur, M. I. Nurminen, J. Impagliazzo, Springer 2006.
  2. Social Informatics: Past, Present, and Future, red. P. Fichman, H. Rosenbaum, Cambridge 2014.
  3. Benkler Yochai, 2006. The wealth of networks: how social production transforms markets and freedom. New Haven: Yale University Press.
  4. Blank, Grant. 2006. Communication and information technologies: A history of the middle years. „Social Science Computer Review” 24(2): 158–164.
  5. Frade, Carlos. 2016. Social Theory and the Politics of Big Data and Method. „Sociology” 50(5): 863–877.  
  6. McCarthy, Matthew T. 2016. The big data divide and its consequences. „Sociology Compass” 10(12): 1131–1140.

Further reading

Additional materials prepared by the teacher.

Notes

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Modified by dr Justyna Nyćkowiak (last modification: 22-04-2020 21:06)