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8653 results for: ‘global learning outcomes’

  • Professional Development 1

    Module code: PH1004 This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single profession groups.

  • Professional Development 1

    Module code: PH1004 This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single profession groups.

  • Professional Development

    This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single-profession groups.

  • Professional Development

    Module code: NU1020 This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single profession groups.

  • Professional Development

    This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single-profession groups.

  • Professional Development

    Module code: NU1020 This module is facilitated using a range of approaches delivered in the main in multi-professional groups that include students from Physiotherapy, Midwifery and Nursing as well as single profession groups.

  • Positive impact

    Explore our research and teaching for positive change

  • Leicester leads the way against COVID-19

    A complete response The University of Leicester has been at the forefront of the conversation into universities’ reaction to the COVID-19 pandemic.

  • Impact of coronavirus pandemic is the “largest scale experiment ever” into global air quality

    The coronavirus pandemic is the “largest scale experiment ever” into global air quality, according to Professor Paul Monks, Professor of Atmospheric Chemistry and Earth Observation Science at the University of Leicester, after new satellite images from the European Space...

  • Machine learning reveals clues to improved weather forecasting in our atmosphere

    Inspired by statistical mechanics, scientists co-led by University of Leicester applied algorithms designed to study molecules to atmospheric data and identified patterns in atmospheric fields that give clues to when weather variations will occur

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