Gain a deeper understanding of the mind-set and behaviour of violent and extremist individuals or groups. On this module, you will explore the main methods of profiling and evaluate the appropriateness of different approaches to solving problems with subjects of terrorism and violence. Furthermore, you will be exposed to the characteristics of extreme and violent behaviour. You will learn how to construct a well-formed and detailed profile of any relevant subject, whether an individual, an organisation or even a whole society, in a matter that will assist in better understanding of the investigated phenomenon and will also allow the prediction of these subjects’ future behaviour.
This module will consist of a minimum of 45 contact hours with teaching taking place between 9am and 5pm from Monday to Friday. An indicative timetable can be found here. A detailed timetable for this module will be available on KEATS from June 2020.
Learning outcomes and objectives
By the end of the module, you should have:
- Gained the knowledge of how to relate theory and models of current developments in terrorism and political violence in the world.
- Broadened your understanding of the dynamic between ideology and motivation in relation to violent and extreme behaviour.
- Demonstrated the ability to describe, in written and oral style, some of the questions posed by the challenges to law enforcement and governmental agencies and assess the possible outcomes of these dilemmas.
- applied given methods carefully to a well-defined problem and appreciated with insight the complexity of the issues and sensitivity in the discipline of discipline of terrorism studies.
Taught by the International Centre for the Study of Radicalisation (ICSR), Department of War Studies, Faculty of Social Science & Public Policy, King's College London
- Seminars and tutorials
- Guest lectures
- Film screenings
- London walks and visits to key institutions
- Private study
Module assessment - more information
- One essay of 2,000 words (70%)
- Group presentation (30%)