The Kiron Political Science core curriculum teaches the fundamentals of political science by providing basic knowledge and skills in political theory, political research and an introduction to the field’s main sub-disciplines: comparative politics, international relations and policy analysis. This is rounded off by basic studies in political economy and political sociology. The aim is to offer students content that is relevant in a globalized world and applicable in a wide range of regions.
“Algorithms and Data Structures” is a typical module in the Computer Science track.
Name: Research Methods and Statistics
Workload: 9 CP
This module gives students an understanding of systematic political science research and its application. The focus is on quantitative and qualitative research and their respective methodologies. The lessons deal with the research process, research design, selection process, sampling design and various methods of data collection and analysis used in political science. The module also provides an introduction to statistics for political science research.
After successfully completing this module, students will:
- understand subjects, objectives and methods relevant to political science research
- understand the difference between qualitative and quantitative methods in political science
- be able to appropriately apply political science research methods
- be capable of applying statistical methods to analyze political and social problems and developments
Basic Statistics, University of Amsterdam Qualitative Research Methods, University of Amsterdam
Quantitative Methods, University of Amsterdam
Framework for Data Collection and Analysis, University of Maryland, College Park
Questionnaire Design for Social Surveys, University of Michigan
Statistical Thinking for Data Science and Analytics, Columbia University