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Introduction to Quantitative Methods (SPS-MEMWP-QM-26)

SPS-MEMWP-QM-26


Department SPS
Course category SPS Methods Seminar
Course type Seminar
Academic year 2026-2027
Term 1ST TERM
Credits 20 (EUI SPS Department)
Professors
  • Zeth Isaksson
  • Max Weber Fellow
Contact Shcherbatiuk, Olena
Sessions

29/09/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

02/10/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

06/10/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

09/10/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

13/10/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

20/10/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

23/10/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

27/10/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

06/11/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

06/11/2026 11:00-13:00 @ Seminar Room 3, Badia Fiesolana

10/11/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

13/11/2026 9:00-11:00 @ Seminar Room 1, Badia Fiesolana

17/11/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

20/11/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

24/11/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

27/11/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

01/12/2026 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

04/12/2026 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

08/12/2026 11:00-13:00 @ Seminar Room 3, Badia Fiesolana
Enrolment info Contact olena.shcherbatiuk@eui.eu for enrolment details.

Purpose

This seminar offers an accessible introduction to quantitative methods for the political and social sciences, aimed at researchers with little or no prior background. Through weekly lectures paired with hands-on lab sessions, participants build the core statistical ideas and basic coding skills needed to conduct and critically assess empirical research. The course covers descriptive analysis, linear regression, probability and statistical inference, and the foundations of causal inference. By the end, participants should grasp the core principles and be able to carry out and interpret the results of basic quantitative analyses.

Description

Syllabus is available here.

Page last updated on 28 September 2026