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9737 results for: ‘global learning outcomes’

  • Peace and Security Data Hub

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on November 1, 2021 This new data site is a direct outcome of the  Secretary General’s Data Strategy , which calls for ensuring everyone, everywhere can discover, access, integrate and share the...

  • Elizabeth Bridger Engineering Scholarship

    To honour the founding spirit of our university, we are awarding 100 Centenary Scholarships of £1,000 to undergraduate students beginning their studies in September 2018.

  • Media Laws Database

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on October 5, 2015 Recently launched by the International Press Institute this site aims to provide journalists with basic knowledge on a country by country basis, of laws, legislation and regulation...

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

  • Practice Education 1

    Module code: PH2006 Your practice education placement will provide hands-on physiotherapy experience, building on the observation you would have undertaken during your first year at Leicester.

  • Practice Education 1

    Module code: PH2006 Your practice education placement will provide hands-on physiotherapy experience, building on the observation you would have undertaken during your first year at Leicester.

  • Practice Education 1

    Module code: PH2006 Your practice education placement will provide hands-on physiotherapy experience, building on the observation you would have undertaken during your first year at Leicester.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

  • Karin Li

    Hello my name is Karin. My background is in Art Museum and Gallery Studies. I am interested in art and history. I started volunteering for the Sounds for the Future project in October 2022 and now work as a library adviser for Archives and Special Collections.

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