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9835 results for: ‘global learning outcomes’

  • Centre aims

    Learn more about the aims of the Stoneygate Centre for Empathic Healthcare.

  • Positive Organizational Culture: eLearning vs QI

    Posted by Nate in Medical Leadership in the Foundations on September 19, 2018   Summer’s over and we’re approaching the end of induction season. Hopefully most of you are settled into the new year.

  • International Education MA, by distance learning

    This is for you if... you are an educational professional wanting to improve your understanding of contemporary educational issues.

  • The NASA-JAXA Global Precipitation Measurement mission

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 28 October 2020 Leicester precipitation scientists Daniel Watters and Alessandro Battaglia outline how a NASA-JAXA mission addresses the challenge of global measurement of precipitation.

  • International Education MA, by distance learning

    This is for you if... you are an educational professional wanting to improve your understanding of contemporary educational issues.

  • Our Vice-Chancellor champions HeForShe at global platform

    30 Global Leaders have unveiled their ground-breaking solutions for gender equality as part of UN Women's HeForShe movement.

  • Leicester rises in global sustainability world rankings

    The University of Leicester has climbed more than 25 places in a league table which ranks the sustainable credentials of universities around the globe.

  • Global data hub on human trafficking

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on November 9, 2018 Counter-Trafficking Data Collaborative is the first global data hub on human trafficking publishing harmonized data from counter-trafficking organizations around the world.

  • Global Risks in the World 2017

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on January 13, 2017 This week the World Economic Forum released its latest annual report on risk in 2017.   It focuses on five areas, economic, social, technological, geopolitical and environmental.

  • Machine Learning for Engineers

    Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.

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