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9706 results for: ‘global learning outcomes’

  • University volunteers plant thousands of bulbs at Botanic Garden

    Green fingered volunteers are helping to plant 80,000 crocus bulbs in Leicester’s Botanic Garden this week

  • Edelman Trust barometer 2018

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on February 2, 2018 Has revealed that large percentages of people worldwide (especially in the USA where it dropped overall by 37%) have experienced a decline of trust in business, government, NGOs and...

  • History

    Find your research degree supervisor in History at Leicester.

  • Advanced Readings in Mathematics 1

    Module code: MA4701 This module is intended to develop the your independent learning skills, alongside writing and presentation skills in a seminar format. At the beginning of the semester, a list of topics in Functional Analysis will be provided.

  • Advanced Readings in Mathematics 1

    Module code: MA4701 This module is intended to develop the your independent learning skills, alongside writing and presentation skills in a seminar format. At the beginning of the semester, a list of topics in Functional Analysis will be provided.

  • Continuing Professional Development (CPD) short courses

    Find out about our one year Postgraduate Certificate in Quarry Management and Operations part-time course.

  • Advanced Readings in Mathematics 1

    Module code: MA4701 This module is intended to develop the your independent learning skills, alongside writing and presentation skills in a seminar format. At the beginning of the semester, a list of topics in Functional Analysis will be provided.

  • Nadjim Horri

    The academic profile of Dr Nadjim Horri, Lecturer in aerospace engineering at University of Leicester

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

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