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schedule.md

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Lectures and Notebooks

  1. January 11th - Overview, logistics, and start Python Basics
  2. January 13th - The rest of Python Basics (start from Numbers) and Collections (lists, tuples, dictionaries)
  3. January 18th - Control Flow (if/else, for/while loops) and lab session on Jupyter, Syzygy, etc. in prep for PS1
  4. January 20th - The rest of Control Flow (break, continue, comprehensions), and Functions
  5. January 25th - Numpy
  6. January 27th - PS1 review, Plotting Intro, and start Linear Algebra
  7. February 1st - Examples of NPV evaluation; The rest of Linear Algebra (NPV portfolio evaluation and Unemployment dynamics)
  8. February 3rd - PS2 review and Randomness
  9. February 8th - Optimization
  10. February 10th - Pandas Intro
  11. February 15th - Midterm break; Family Day
  12. February 17th - Midterm break
  13. February 22nd - Pandas Basics, Storage Formats, and Cleaning Data
  14. February 24th - PS3 review, Reshape, and start Merge
  15. March 1st - The rest of Merge (starting from .merge), quickly go through The Index, and start Groupby
  16. March 3rd - The rest of Groupby and Timeseries
  17. March 8th - Matplotlib and Visualization
  18. March 10th - PS5 review, The rest of Visualization; Start Regression
  19. March 15th - The rest of Regression starting from LASSO
  20. March 17th - Application: recidivism
  21. March 22nd - Classification
  22. March 24th - The rest of Classification; then Mapping
  23. March 29th - Machine learning in economics
  24. March 31st - PS6 review, Working with text
  25. April 5th - Easter Monday
  26. April 7th - Final Project Brainstorming / Discussion
  27. April 12th - Heterogeneous effect
  28. April 14th - PS7 review, Covid related notebooks (See https://github.com/ubcecon/ECON_323_Spring2021/tree/master/extra_notebooks), Summary

Tentative schedules are below (subject to changes)

Problem Sets

  1. Due January 21st - Problem Set 1 (uploaded as executed ipynb file through Canvas)
  2. Due January 28th - Problem Set 2
  3. Due February 4th - Problem Set 3
  4. Due February 21st - Problem Set 4 - Questions 1, 2, 3, and 6 Only
  5. Due March 4th - Problem Set 5
  6. Due March 17th - Problem Set 6 - Questions 1-7 Only
  7. Due March 30th - Problem Set 7