Quantitative research methods 2100-ERASMUS-QRM2
Students will become familiar with quantitative conceptualizations of social and political life, their advantages and limitations. They will
Learn why it is worthwhile to learn the basics of statistics - why statistics is indispensable for describing social and political processes.
Students will learn the basics of descriptive statistics: univariate analysis (central tendency, dispersion, shape of distribution) and bivariate analysis (correlation).
analysis (correlation). They will also become familiar with the most elementary forms of data visualization, including histograms, box plots, and scatter plots,
plots, and scatter plots. During the workshops, students will learn how to use Python for statistical analysis. They will work with
IPython. They will learn how to install Python, work with iPython notebooks, install Python libraries, and write and run code. Data analysis will be
using NumPy, pandas, Seaborn, spaCy, and scikit-image.
Course coordinators
Learning outcomes
Upon completion, students will
-> Be able to collect, analyze and interpret quantitative data used in the process of designing and analyzing political processes (K_W02)
-> Design complex social research projects based on data and methods characteristic of quantitative analysis (K_U01).
-> Be able to use statistical methods to analyze political processes and their economic, social and cultural determinants (K_U03)
-> Prepare an oral presentation (individually and in a group) demonstrating their ability to apply quantitative data analysis (K_U06, K_K02).
-> Critically evaluate quantitative data sets available on the Internet (K_K03).
Assessment criteria
20% of final grade will be based on student activities (small projects, homework) in a discussion section. 40% of the final grade will be based on a coding project. 40% of the final grade will be based on the final test score. The test must be passed by the student. Students will be allowed two absences from the discussion section and two absences from the workshop.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: