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Digital Technologies in Social Science Research

Digitalne tehnologije v družboslovnem raziskovanju

Course credits:

6.00 ECTS / 60 (30 hours of lectures, 0 hours of exercises, 30 hours of seminars, 0 hours other forms of work)

Course holder:

izr. prof. dr. Katja Lozar Manfreda

    Lecturers:

  • Assoc. Dr. Bojana Lobe

Type:

Required

Language:

English

Semester:

First semester

Study degree

2. level

    Course execution:

  • Postgraduate Programme of Social Informatics

Short content

The course brings content which is specific for social sciences when speaking about data science and data analytics. While data science usually focuses on management, visualization and statistical data analysis, this course focuses on the usage of digital technologies for collecting data in social sciences, including classical social science methods, such as surveys and qualitative methods. In addition, it focuses also on integration of »classical« social science data with big data as prevalent type of data in modern quantified society, and on selected aspects of modern research process. Topics: 1. Type of data in the digital environment. 2. Digital technologies as a tool to collect primary data. 3. Issues in secondary data on the web. 4. Integration of different approaches. 5. Selected approaches to data analysis, organization, management in digital environment: computer-assisted analysis of qualitative data, analysis of web metrics, analysis and visualisation of geolocation data. 6. Selected aspects of modern research process, assisted by digital technologies.

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Curriculum was last modified on: 13.04.2022