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POLS 537 Advance Research Methods and Data Analysis in Political Science

Spring 2026-2027 · 3 SU credits · 10 ECTS · Graduate

This course trains students to use statistical models for forecasting societal, mainly political, outcomes The students learn how to use Machine Learning and Data Mining algorithms to explore topics such as measuring the extent of partisan polarization, predicting electoral outcomes, predicting local violence, analyzing the trend of interstate war, and forecasting civil war. Subjects to be covered include understanding the differences and similarities between Correlation Analysis, Causal Inference, and Forecasting Principles; Naive Bayes; k-Nearest Neighbors (KNN); Regularized Linear Regression (Lasso, Ridge, eNet); forecasting using Maximum Likelihood Estimation (MLE); Trees methods; Clustering; and Dimension Reduction.

Needs first POLS 530

Lecture — POLS 537

POLS 537 — Sabancı Üniversitesi Spring 2026-2027 ders programı: section'lar, saatler, derslikler, CRN'ler ve syllabus bağlantıları.