Search

14421 results for: ‘CONTACT COLASHIP.SHOP TO ’

  • Making learning outcomes really student-centred – The University of Leicester

    The 'Learning Outcomes Project' at the University of Leicester. Making learning outcomes really student-centred.

  • gesisDataSearch: a Data Discovery Index for the Social Sciences

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on April 20, 2018 Now in beta, a new tool which will enable researchers to quickly identify high quality social and economic datasets.

  • Assessment as dialogue

    Posted by Steve Rooney in Leicester Learning Institute: Enhancing learning and teaching on September 19, 2016 The following is a brief summary of a session on assessment as dialogue. The session ran on Wednesday, 14 th September, as part of the LLI’s Focus On… activities .

  • Feminist Fiction

    Module code: EN1060 This module examines the influence of feminism on fiction and considers the ways that fiction by women responds to debates about gender.

  • Feminist Fiction

    Module code: EN1060 This module examines the influence of feminism on fiction and considers the ways that fiction by women responds to debates about gender.

  • Feminist Fiction

    Module code: EN1060 This module examines the influence of feminism on fiction and considers the ways that fiction by women responds to debates about gender.

  • Reka Plugor

    The academic profile of Dr Réka Plugor, Associate Professor of Work and Employment at University of Leicester

  • PhD students

    Browse our current PhD students in the School of Computing and Mathematical Sciences, and see their contact details.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

  • Epidemiology

    Module code: MD7452 Modelling in epidemiology project The project is designed to give you experience in analysing epidemiological data using logistic and Poisson models. The project uses real datasets, which inevitably comes with some real problems.

Back to top
MENU