CPLN-5920-SP26

Materials for Penn’s Spring 2026 CPLN 5920/MUSA 5080-Public Policy Analytics course.

Syllabus

Lectures

• Week 1 - Course Overview and Getting Started
• Week 2 - Algorithmic Decision-Making and Census Data
• Week 3 - Data Visualization and Exploratory Analysis
• Week 4 - Spatial Data and GIS Operations in R
• Week 5 - Introduction to Linear Regression
• Week 6 - Spatial Machine Learning & Advanced Regression
• Week 7 - Model Diagnostics & Spatial Autocorrelation
• Week 9 - Critical Perspectives on Predictive Policing
• Week 10 - Logistic Regression for Binary Outcomes

Labs

• Portfolio template
• Lab setup instructions
• Lab 0 - Introduction to dplyr
• Lab 1 - Census Data Quality for Policy Decisions
• Lab 2 - Spatial Analysis and Visualization
• Lab 3 - Midterm - Philadelphia Housing Price Prediction
• Lab 4 - Spatial Predictive Analysis

In-Class Exercises

• Week 3 - Data Visualization and Exploratory Analysis
• Week 4 - Spatial Operations with Pennsylvania Data
• Week 9 - Predictive Policing - Technical Implementation
• Week 10 - Logistic Regression with Equity Analysis

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