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9722 results for: ‘global learning outcomes’

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Nicola Mackintosh

    The academic profile of Dr Nicola Mackintosh, Professor in Social Science applied to Health at University of Leicester

  • Diabetes patch proposal wins award for University of Leicester PhD student

    Charlotte Fawcett, a PhD student from the University of Leicester Department of Cardiovascular Sciences, led a business proposal that has won an award in the Young Entrepreneurs Scheme.

  • Midlands Racial Equality in Medicine Conference 2023

    Midlands Racial Equality in Medicine Network Conference 2023 information and registration links

  • Senate regulation 11, Appendix 2: Case management protocol

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  • Andrew Dunn: Page 148

    Academic Librarian.

  • Student Compensation and Refund Policy

    How decisions regarding tuition fees, other course costs, accommodation costs, sports memberships and other relevant costs are compensated or refunded.

  • Trial success for less invasive life-saving cardiac procedure

    A nationwide study led by Leicester academics has shown that a less invasive procedure to treat a common heart problem is just as effective as open-heart surgery.

  • Scientists are discovering how land management impacts the environment

    Agtelligence is working with scientists at Space Park Leicester on an innovative project that examines how land management impacts soil health, biodiversity, water and carbon.

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