Elective Courses in English

Explore the list of elective courses for the winter semester of the 2023-2024 academic year:

ALR1503 –  Social Stratification and Social Mobility

Cristina Rat, lecturer, PhD

Description: The course aims to provide students theoretical and methodological tools for the analysis of social inequalities and processes of social stratification. Building upon their previous knowledge of social theories (in particular Weber, Marx and Bourdieu), students are encouraged to reflect upon various conceptualisations on the genesis and reproduction of social inequalities, and to critically engage these concepts. The readings will familiarize students with major theories and conceptualizations of social stratification and social class, as well as theoretical and methodological problematizations of social reproduction and mobility. The seminars try to address through debates and other interactive methods questions such as: Are social inequalities legitimate? Can we speak about equality of chances? What are the consequences of perceptions on social divisions?

5 ECTS

Agent-based modelling (equivalent with ALR3423)

Olena Puhachova, Associate Professor, National University of “Kyiv-Mohyla Academy” (NaUKMA), Ukraine

Short description: This course is an introductory course in social modelling. It aims in understanding the complex dynamics of social systems and getting some practical experience in the simulation of social processes. This course helps students to form intuition about the behaviour of social systems in case of complexity and uncertainty.

3 ECTS

Computational social science with R (equivalent with ALR1424)

Olena Puhachova, PhD (National University Kyiv Mohyla Academy, Ukraine)

Short description: This course is designed to familiarize students with basic computational social science methods. It also aims to gain some practical experience in data analysis with the R programming language. It focuses on visualization data by means of R. This course also includes an introduction to machine learning, text mining, web scraping, and sentiment analysis.

3 ECTS