Computational Economics

Learning Outcomes

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• successfully collaborate with others in a group on programming assignments.
• analyse and interpret data using state of the art computational methods;

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• adequate computational tools for quantitative economic and econometric analysis.
• fundamental programming methods relevant for data science
• numerical methods for statistical data analysis, including using large data sets

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• use state of the art programming techniques relevant for econometric data analysis.
• retrieve, organise, analyse and present data from large datasets in an informative manner.

This module will cover three main areas. It will cover programming skills and give an introduction to computer programming for economists and econometricians. A second focus is on methods of data processing, manipulation and analysis that are relevant for economists and econometricians. The module will also cover techniques of numerical simulation with an emphasis on optimisation and its economic and econometric applications.

Lectures, masterclasses, computer lab sessions

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.