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  • Archaeology and Heritage

    Module code: AR3606 ‘Heritage’ is a very powerful idea, and we will begin this module by thinking about what heritage actually is and what it means in the contemporary world.

  • Complex Analysis

    Module code: MA3121 In this module we will learn some beautiful theoretical results which will help us to compute integrals and sums that would be otherwise much more difficult.

  • Complex Analysis

    Module code: MA3121 In this module we will learn some beautiful theoretical results which will help us to compute integrals and sums that would be otherwise much more difficult.

  • Professional Skills in Finance

    Module code: EC7121 During this module, you'll continue to develop the professional skills needed to have a successful career in finance.

  • Professional Skills in Finance

    Module code: EC7121 During this module, you'll continue to develop the professional skills needed to have a successful career in finance.

  • Complex Analysis

    Module code: MA3121 In this module we will learn some beautiful theoretical results which will help us to compute integrals and sums that would be otherwise much more difficult.

  • Professional Skills in Finance

    Module code: EC7121 During this module, you'll continue to develop the professional skills needed to have a successful career in finance.

  • Locating the church within the friary

    The discovery of the chapter house and eastern cloister walk in the first two trenches meant that parts of the church were likely be present in the car park or the school playground, but where to look next? Richard Buckley made the decision to look in the school playground...

  • People

    Project team Professor Clare Anderson Principal Investigator (British and French Empires) Ms Rachel Dawes Project Administrator Dr Christian De Vito Research Associate (Spain, Portugal and Latin America), 2013-18 Dr Lorraine Paterson Research Associate...

  • Women in data science

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on November 22, 2019 A resource from Stanford University. The Women in Data Science initiative  was launched in 2018.

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