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ECON 21410: Computational Methods in Economics

NOTE: Please see the updated Spring 2019 version of this class here


The full class syllabus can be found here.

  • Class: Tuesdays and Thursdays, 3:30 - 4:50 PM in SHFE 103
  • TA Session: Mondays 7:30-8:30 PM in SHFE 103
  • Lecturer: Jeremy Bejarano,
  • Office Hours: by appointment
  • Teaching Assistant: Philip Xinyu Cao,
  • TA Office Hours: Mondays, 1:45-2:45, in the graduate commons (SHFE 201)
  • Website: Canvas will be used for grades. Homeworks and notes will be posted on the course GitHub repo:


There should be about 19 classes and 9 TA sessions (first Monday excluded). This means that we have 28 in-class sessions total before the reading period.

  • We will have one midterm. It will take place on Monday, April 30 during the regularly scheduled TA session, 7:30-8:30 PM in SHFE 103.
  • Read the lectures ahead of time. The lectures (from, e.g., QuantEcon or the Python Data Science Handbook) have hyperlinks to the appropriate text.
  • Solutions to the homework will be posted in a separate GitHub repo, found here:

Books Used


  • Assignments must be turned in before midnight on the day that they are due. This means that you must submit your pull request on GitHub at 11:59pm or earlier on the due date (usually a Monday). Late assignments will not be accepted.


Introduction to Python, Git, and GitHub

Data Wrangling with Python

Econometrics with Python (and R)


Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2018)



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