Computational Economics
1.0

Contents:

  • 1. Course Administration
  • 2. First Steps in Python
  • 3. Python Data Structures
  • 4. Basic Programming Techniques
  • 5. Debugging
  • 6. Vectors and Matrices
  • 7. Plotting using matplotlib
  • 8. Functions
  • 9. Object Oriented Programming
  • 10. Working with Data I: Data Cleaning
  • 11. Working with Data II: Statistics
  • 12. Working with Data III: Case Study
  • 13. Working with Data from the Web I
  • 14. Working with Data from the Web II
  • 15. Regular Expressions
  • 16. Random Numbers
  • 17. Random Numbers II: An Infectious Disease Simulation
  • 18. Root Finding
  • 19. Optimization
  • 20. Constrained Optimization
  • 21. A Simple OLG Model
  • 22. An OLG Model with Labor-Leisure Choice
  • 23. Growth Models
  • 24. Machine Learning I: Introduction to Machine Learning
  • 25. Machine Learning II: Categorization Algorithm
  • 26. Assignments
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