zzhou009/econ323_2021_fall

Course materials for ECON323 Fall 2021

Previous programming experience and classwork is useful, but not required. But even if you know how to program, you will learn a great deal of interesting applications.

We will follow the QuantEcon DataScience textbook

Computational Setup

You will not need to install any software on your local computer. Instead:

• Go to the QuantEcon DataScience Introduction
• One time setup: click on the "Settings" icon at the bottom of a lecture and choose the server: ubc.syzygy.ca
• Then click on the "Launch Notebook" to launch any notebook in your computing environment
• See Troubleshooting for how to reset notebooks, etc.
• We strongly suggest creating a GitHub account and signing up for the GitHub Student Developer Pack

If possible, please bring a laptop to class to interactively discuss the material.

Instructor and Teaching Assistant

Section 2

• Peifan Wu [email protected]
• Office Hours: Mondays 1pm - 2pm, Iona #013
• TA: Kuo Yan [email protected]
• Office Hours: Fridays 1pm - 2pm, Iona #335

Section 3

• Paul Schrimpf [email protected]
• Office Hours: Wednesdays 6pm, Zoom link available through Canvas
• TA: Josh Catalano [email protected]
• Office Hours: Wednesdays 10am - 11am, Zoom link available through Canvas

Syllabus

See Syllabus for more details

Major course sections

1. Python Fundamentals
2. Scientific Computing and Economics
3. Introduction to Pandas and Data Wrangling
4. Data Science Case Studies and Tools

Grading: Weekly problem sets: 50%; Final projects: 45%; Attendance/Participation: 5%

The final project is open ended. See previous projects

Lecture and Problem Set Schedule

• Schedule for Section 2 (Peifan Wu)
• Schedule for Section 3 (Paul Schrimpf)

All problem sets are to be sent as clean, executed .ipynb notebooks on Canvas.