ECON 611 - Computational Methods for Economists

Units: 4
Introduction to computational methods in economics. Topics include importing and scraping data, data visualization, data transformation, regression, and simulation-based estimators.

Prerequisites: Graduate standing in Economics.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F grading only.
Course Typically Offered: Fall ONLY

Student Learning Outcomes - Upon successful completion of this course students will be able to:
1. Acquire basic programming skills such as creating functions, commenting, displaying output, and control structures
2. Develop techniques for gathering, organizing, and working with large data sets typically used in economics
3. Apply the learned programming techniques to problems faced by economists such as regression estimation, optimization, and simulation
4. Distinguish between which techniques are most effective for different types of problems