Teaching Materials

Poli 891: Lab for Advanced Political Data Science

• Programming Style
• Functional Programming in R
• Multilevel Linear Models
• Multilevel Generalized Linear Models
• Multilevel Models for Correlated Data
• Multilevel Regression with Poststratification
• High Performance Computing
• Structural Topic Models
• Item Response Theory Models
• Working with Strings
• Performance, Optimization, and Parallelization
• Regression and Classification Trees
• Elastic Net, LASSO, and Ridge Regression
• Latent Space Networks

Poli 281: Quantitative Research in Political Science

• Introduction to R
• Working with Data in R
• Writing R Scripts
• Visualizing Discrete and Continuous Data

Poli 891: Machine Learning

• Artificial Neural Networks

PS 3090: The Scientific Study of Civil Wars

• Regression in 10 Minutes
• What’s in a War?

PS 3171: International Conflict Management and Resolution

• Measuring the Democratic Peace

ICPSR: Introduction to Applied Bayesian Modeling

• Using Stan to Estimate Bayesian Models

Peace Science 2018: Measurement Workshop

• Item Response Theory Models