(in Polish) Introduction to Computational Social Science 2500-EN-PS-E-004

Prerequisites No specific skills are required and no mathematical and statistical knowledge is expected. However, general analytical thinking will be very helpful. Academic honesty Students must respect the principles of academic integrity. Cheating and plagiarism (including copying work from other students, LLM, the internet, or other sources) are serious violations that are punishable and instructors are required to report all cases to the administration.

By the end of the semester students should be able to:

 understand basic concepts of computational social science, such as
Natural Language Processing, Computer Simulations, Networks.
 characterize computational methods used in social science.
 understand advantages, challenges, and limitations of computational
methods in social sciences.
 formulate research questions that can be addressed with
computational methods and/or data extracted from existing web-based
data sources.
 plan research using computational methods and tools covered during
the class.