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  • 20th Anniversary Events

    Learn more about the events provided by Languages at Leicester, including taster sessions and drop-in sessions.

  • Contextualising Literature: From Genesis to Generation X

    Module code: EN3152 In this module you will consider the question of context in literary studies.

  • Writing Voices

    Module code: EN3119 This creative writing module aims to investigate the relationship between creative writing and the key concept of ‘voice.’ It aims to introduce some of the contexts and genres of writing in which notions of ‘voice’ and ‘vocality’ play a central part.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

  • UNIversal Gym Membership

    The University of Leicester has signed up to the UNIversal Gym membership scheme with British Universities and Colleges Sports (BUCS).

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

  • Writing Voices

    Module code: EN3119 This creative writing module aims to investigate the relationship between creative writing and the key concept of ‘voice.’ It aims to introduce some of the contexts and genres of writing in which notions of ‘voice’ and ‘vocality’ play a central part.

  • Writing Voices

    Module code: EN3119 This creative writing module aims to investigate the relationship between creative writing and the key concept of ‘voice.’ It aims to introduce some of the contexts and genres of writing in which notions of ‘voice’ and ‘vocality’ play a central part.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

  • John E. Pearl

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