K0SP 2000 - Introduction to Quantitative Methods

This course introduces the fundamentals of quantitative methods applied to political science. It covers core concepts ranging from descriptive statistics (e.g., mean and standard deviation) to inferential techniques such as hypothesis testing, t-tests, and regression analysis. A strong emphasis is placed on developing practical data analysis skills using R, a free and open-source software widely used in political science research. Throughout the course, students will learn how to manage, analyze, and interpret data in a reproducible way. While the course is applied in nature, students should expect some mathematical development to support a solid understanding of the methods.

AUCUN

The course combines weekly lectures (2 hours) with weekly lab sessions (1 hour). A strong emphasis is placed on the integration of theory and practice: concepts introduced in lectures are typically applied in R during the next lab sessions. This structure ensures that students immediately translate methodological knowledge into hands-on analytical skills.

• Midterm exam 30%
• Final exam 40%
• Homework 30%

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