Special Topics of Social Informatics

2022/2023

Academic Year

ENG

Instruction in English

6

ECTS credits

Delivered at:

Department of Sociology

Course type:

Elective course

When:

4 year, 3 module

Instructor

Zubarev, Nikita

Course Syllabus

Abstract

We will build our work around the understanding of how statistics and computation work in social, applied and CS research, focusing on acquiring deeper understanding of statistical inference based on observational and experimental data and focusing on “big data” research using digital methods. If you are planning to do a quantitative study for your thesis, this course will help you to think about suitable research design early on, hopefully leading to better results and less issues. If you think on continuing your career or education in quantitative directions – from high-profile MSc programmes in quantitative social science, data, business analytics or UX analytics, this course might help you to build necessary conceptual and computational foundation in these areas. We will use simulations, pictures and intuition more than math and use online course materials and extra reading as a backbone for our discussion and simulations, so this course should be accessible for those without Data Science minor or alternative experience. However, the course will require large amount of independent work.