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Economics Of Networks

Key information

  • Module code:

    5SSPP253

  • Level:

    5

  • Semester:

      Spring

  • Credit value:

    15

Module description

This module is designed to introduce students to core analytical concepts in network theory and their applications to data analysis with special focus on topics in political economy and development economics. 

Assessment details

10 Minute Presentation (10%) & 4,000-word essay (90%).

Educational aims & objectives

This module aims to:

  • Provide a broad overview of analytical tools such as basic linear algebra and matrix manipulation to analyse the pervasive role of networks in economics, with special focus on issues in political economy and development economics.
  • Develop an understanding of how data can be interpreted through the lens of network theory and acquire basic programming skills (Python) to implement such data analysis.
  • Provide guidance in the process of identifying original research questions and help to develop them into early-stage research projects.

Learning outcomes

On successful completion of this module, students will be able to:

  • Understand core analytical concepts in network theory.
  • Apply such concepts to data analysis via basic programming skills.
  • Formulate original research

The module should allow students to further develop the following employability and transferable skills

• problem-solving skills

• oral communicative skills

• critical and creative thinking

• team-working skills question and take first steps in addressing such question scientifically.

Subject areas

Department

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.