silaskw / econ323_2023_spring

Course materials for ECON 323 Spring 2023

Previous programming experience and classwork is useful, but not required. We will also talk about the applications of the econometric and statistical learning methods.

We will follow the QuantEcon DataScience textbook

Computational Setup

Installing software on your laptop is suggested but not mandatory. Instead,

• Go to the QuantEcon DataScience website and navigate to to notebook you want to use
• To import a lecture into UBC JupyterOpen or Syzygy, click the "launch notebook" icon in the top right corner, and enter: https://open.jupyter.ubc.ca (or https://ubc.syzygy.ca) as the private server. Once we get started, it might be easier for you to install JupyterLab on your own computer.
• See Troubleshooting for how to reset notebooks, etc.
• We strongly suggest creating a GitHub account and signing up for the GitHub Student Developer Pack

You are also encouraged to install Anaconda on your machines.

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

Instructor and Teaching Assistant

• Philip Solimine [email protected]
• Office Hours: Monday and Wednesday, 11:00am-12:00pm, Iona #106
• Section 3 TA: Joshua Catalano [email protected]
• Office Hours Fridays 10:00am - 11:00am, IONA #434
• Section 4 TA: Leopoldo Gutierre [email protected]
• Office Hours Fridays 12:00pm - 1:00pm, Iona #434

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: Problem sets: 40%; Midterm: 15%; Final projects: 20%; Final exam: 20%; Attendance/Participation: 5%

The final project is open ended. See previous projects

Lecture and Problem Set Schedule

Read the problem set submission rules before attempting the problem sets. Not following these rules will result in deducted marks.