Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2018)
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lectures Practice with Markov Chains notebook May 24, 2018
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ECON 21410: Computational Methods in Economics


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)