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schedule.md

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This is a tentative schedule and will be updated as the course progresses.

Lectures and Notebooks

  1. January 10 - Overview and start Python Basics
  2. January 12 - Finish Python Basics and Collections
  3. January 17 - Finish Collections and start Control Flow
  4. January 19 - The rest of Control Flow Lab session on PS 1, Jupyter, Syzygy, etc.
  5. January 24 - Functions, preparation for PS2 (C-D function, returns to scale, etc), Numpy
  6. January 26 - PS1 review, Numpy
  7. January 31 - Net present value stuff (preparation for PS 3), Plotting Intro
  8. February 2 - Linear Algebra
  9. February 7 - Randomness
  10. February 9 - PS2 review, Optimization
  11. February 14 - PS3 review, Pandas Intro
  12. February 16 - Pandas Basics, Cleaning Data
  13. February 21 - Midterm Break
  14. February 23 - Midterm Break
  15. February 28 - Reshape, Merge, Groupby
  16. March 2 - More examples of Merge, Groupby, Timeseries
  17. March 7 - PS4 review, Timeseries continued, Visualization
  18. March 9 - Visualization continued, Mapping
  19. March 14 - PS5 review, Overview of the rest of the lectures; Regression
  20. March 16 - Regression: LASSO, Ridge, Cross-validation
  21. March 21 - Regression: Random Forest, Neural Network
  22. March 23 - PS6 review, Classification
  23. March 28 - Application: recidivism, Brainstorming session for the final project
  24. March 30 - PS7 review, introduction of natural language processing and Working with text
  25. April 4 - Machine learning in economics
  26. April 6 - Heterogeneous effect

Problem Sets

Important: work on the problem sets in the course git repository, not the ones from quantecon.org! Do not do the quantecon.org problem sets that appear in lecture-datascience.notebooks/problem_sets!.

  1. Due January 21 - Problem Set 1 (uploaded as executed ipynb through Canvas)
  2. Due January 31 - Problem Set 2
  3. Due February 9 - Problem Set 3
  4. Due February 18- Problem Set 4
  5. Due March 7 - Problem Set 5
  6. Due March 14 - Problem Set 6
  7. Due March 23 - Problem Set 7
  8. Optional Due March 29 Problem Set 8