Module Description:
This module aims to introduce students to computational thinking in economics and finance by looking at different relevant models and theories, such as agent-based modelling and game theory. Students will also be introduced to various applications, such as financial forecasting, automated bargaining and mechanism design. Synergy will be explained i.e. students will be explained why some of the research in computation and finance or economics together can achieve something that they cannot achieve without the other.
Learning outcomes
By the end of this module, students will:
1) understand the basics of computational theories and modelling.
2) understand the synergy between computation and economics/finance
3) appreciate applications of computational thinking in finance and economics
This module aims to introduce students to computational thinking in economics and finance by looking at different relevant models and theories, such as agent-based modelling and game theory. Students will also be introduced to various applications, such as financial forecasting, automated bargaining and mechanism design. Synergy will be explained i.e. students will be explained why some of the research in computation and finance or economics together can achieve something that they cannot achieve without the other.
Learning outcomes
By the end of this module, students will:
1) understand the basics of computational theories and modelling.
2) understand the synergy between computation and economics/finance
3) appreciate applications of computational thinking in finance and economics
- Module Supervisor: Themistoklis Melissourgos