• Lecture 1: Introduction
• Lecture 2: Balanced Growth, Preferences and Technology
• Lecture 3: Utility Functions; 3 Key Parameters in Macro
• Lecture 4: Dynamic Programming; Introduction and Basic Algorithms
• Lecture 5: Function Interpolation
• Lecture 6: Integration
• Lecture 7: Misc. Tools
• Lecture 8: Optimization

To be added:

• Lecture 9:  GE with Heterogeneity 1 (Krusell-Smith and variants)
• Lecture 10: GE with Heterogeneity 2 (Bells and Whistles)
• Lecture 11: Calibrating/Estimating Structural Models: Simulation-based Estimation; Indirect Inference
• Lecture 12: Higher-Order Moments in Data and in Models: A Primer
• Lecture 13: Policy analysis, Welfare, Impulse responses, and various decompositions