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  • Introduction to Management

    Module code: MN1033 This module explores the issues of planning, organising, leading, and controlling within contemporary organisations.  You will examine how managers coordinate resources to achieve strategic objectives.

  • Introduction to Management

    Module code: MN1033 This module explores the issues of planning, organising, leading, and controlling within contemporary organisations.  You will examine how managers coordinate resources to achieve strategic objectives.

  • Meet the team

    Learn more about the team of Chaplains working at the University of Leicester and how you can get in touch with them.

  • Epidemiology for Health Data Science

    Module code: MD7474 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.

  • Andrew Dunn: Page 30

    Academic Librarian.

  • Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei

    Academic and staff blogs from the University of Leicester

  • Postgraduate Certificate in Education (International) iPGCE, by distance learning

    The iPGCE is an innovative programme for experienced and beginning teachers that offers unique opportunities to study pedagogy in a diverse range of professional settings.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

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