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'Globalisation' encapsulates the developing inter-connectedness of markets and economic systems, driven by trade liberalisation. Yet, alongside this drive towards trade liberalisation, the international community has committed itself to a diverse range of objectives, including environmental and social, exemplified by the commitment to sustainable development. These objectives are established and pursued by different actors through separate (specialist) regimes. Thus while the World Trade Organisation regulates international trade at multilateral level, alongside this trade regime are numerous regional and multilateral commitments relating to, for example, environmental protection, climate change, to labour standards, to and human rights.

This module, 'Globalisation and Law', is concerned with the challenges posed to democracy and accountability arising from the emergence of new and diverse forms of governance, undertaken by a diverse range of actors, responsible for a diverse range of (sometimes conflicting) interests.

To explore, and give substance to these otherwise potentially abstract issues, the module is structured around a case study through which to expose the issues raised, and consider responses to the regulatory challenges posed, by globalisation.

The module will look at the main issues and trends, concepts and definitions on globalisation within the discipline of international relations.

The module will look at the main issues and trends, concepts and definitions on globalisation within the discipline of international relations.

This module explores emerging markets as important players in the global economy. It introduces theory and practice of doing business in emerging markets and beyond, showing you the unique features of emerging markets and the related opportunities and challenges. You will also learn how firms from developed countries and emerging markets compete in different contexts. Concepts and theories will be applied to analyse case studies.

This module explores emerging markets as important players in the global economy. It introduces theory and practice of doing business in emerging markets and beyond, showing you the unique features of emerging markets and the related opportunities and challenges. You will also learn how firms from developed countries and emerging markets compete in different contexts. Concepts and theories will be applied to analyse case studies.

This module explores emerging markets as important players in the global economy. It introduces theory and practice of doing business in emerging markets and beyond, showing you the unique features of emerging markets and the related opportunities and challenges. You will also learn how firms from developed countries and emerging markets compete in different contexts. Concepts and theories will be applied to analyse case studies.

This module will problematize the concept of globalisation and explore and develop an understanding of its meaning in economic, political and cultural terms. Furthermore, we will examine the ideological struggle between competing forces over the nature and purpose of globalisation through a focus on the roles played by states, corporations, global institutions and social movements.

This module will problematize the concept of globalisation and explore and develop an understanding of its meaning in economic, political and cultural terms. Furthermore, we will examine the ideological struggle between competing forces over the nature and purpose of globalisation through a focus on the roles played by states, corporations, global institutions and social movements.

Graph theory was born in 1736 with Euler’s solution of the Königsberg bridge problem, which asked whether it was possible to plan a walk over the seven bridges of the town without re-tracing one’s steps. Euler realised that the problem could be rephrased in terms of a graph whose vertices corresponded to the four regions of the city, and whose edges corresponded to the seven bridges each joining a pair of the regions.

With this rephrasing, we can view this problem of walking through Königsberg as a (significantly more tractable) problem of navigation in the corresponding diagram (or graph), which is straightforward to resolve.

Graph theory is a stand-alone branch of mathematics that has links across the mathematical spectrum, from parts of pure mathematics such as abstract algebra and topology, to parts of mathematics focusing on applications such as operational research and computation, through to other areas of science such as chemistry, biology and electronics.

In this module, we introduce the basic concepts of graph theory, focusing primarily on finite graphs. These include numerical invariants of graphs and methods for calculating them; how to navigate through graphs (including the method that lies behind the resolution of the Königsberg problem discussed above); vertex and edge colourings of graphs and other numerical invariants of graphs; the conditions under which a graph is planar; and the introductory elements of the theory of random graphs.

Graph theory was born in 1736 with Euler’s solution of the Königsberg bridge problem, which asked whether it was possible to plan a walk over the seven bridges of the town without re-tracing one’s steps. Euler realised that the problem could be rephrased in terms of a graph whose vertices corresponded to the four regions of the city, and whose edges corresponded to the seven bridges each joining a pair of the regions.

With this rephrasing, we can view this problem of walking through Königsberg as a (significantly more tractable) problem of navigation in the corresponding diagram (or graph), which is straightforward to resolve.

Graph theory is a stand-alone branch of mathematics that has links across the mathematical spectrum, from parts of pure mathematics such as abstract algebra and topology, to parts of mathematics focusing on applications such as operational research and computation, through to other areas of science such as chemistry, biology and electronics.

In this module, we introduce the basic concepts of graph theory, focusing primarily on finite graphs. These include numerical invariants of graphs and methods for calculating them; how to navigate through graphs (including the method that lies behind the resolution of the Königsberg problem discussed above); vertex and edge colourings of graphs and other numerical invariants of graphs; the conditions under which a graph is planar; and the introductory elements of the theory of random graphs.