Table of Contents (Undergraduate course)¶

• All
• Undergraduate course
• Graduate course

• About these Lectures
• Getting Started with Julia
  • Setting up Your Julia Environment
  • Interacting with Julia
  • Introductory Examples
  • Julia Essentials
  • Arrays, Tuples, Ranges, and Other Fundamental Types
  • Introduction to Types and Generic Programming
• Packages and Software Engineering in Julia
  • Generic Programming
  • General Purpose Packages
  • Data and Statistics Packages
  • Solvers, Optimizers, and Automatic Differentiation
  • Julia Tools and Editors
  • Git, GitHub, and Version Control
  • Packages, Testing, and Continuous Integration
  • The Need for Speed
• Tools and Techniques
  • Linear Algebra
  • LLN and CLT
  • Linear State Space Models
  • Finite Markov Chains
  • A First Look at the Kalman Filter
• Dynamic Programming
  • Shortest Paths
  • Job Search I: The McCall Search Model
  • Job Search II: Search and Separation
  • Optimal Savings I: The Permanent Income Model
  • Optimal Savings II: LQ Techniques
  • Consumption and Tax Smoothing with Complete and Incomplete Markets
• Multiple Agent Models
  • Schelling’s Segregation Model
  • A Lake Model of Employment and Unemployment
  • Rational Expectations Equilibrium
  • Markov Perfect Equilibrium
  • Asset Pricing I: Finite State Models
• References