This course introduces advanced computational methods for political analysis, including data scraping, text analysis, network analysis, machine learning, and simulation modeling. Students will learn to apply these techniques to real-world political data using Python and R. Emphasis is placed on ethical considerations and interpretability in computational social science.

CILO-1: Apply computational methods to collect and preprocess political data. CILO-2: Conduct text analysis and network analysis using Python/R. CILO-3: Interpret machine learning models in the context of political behavior. CILO-4: Design and critique computational research designs in political science. CILO-5: Communicate findings effectively through visualizations and reports.