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14350 results for: ‘museum studies’

  • Internationally renowned novelist joins Leicester’s top academics to discuss why climate change has been banished from fiction books

    Distinguished author and Booker prize nominee, Dr Amitav Ghosh, will join top scientists and a world-leading historian to explore how the arts and humanities, social sciences, and sciences have shaped, and can shape, our thinking about the climate emergency.

  • College of Science and Engineering (CSE)

    LeMID (Leicester Microbial Sciences and Infectious Disease) academic staff members from the College of Science and Engineering (CSE).

  • What can Critics of Management and Critics of Economics learn from each other?

    Posted by in School of Business Blog on February 19, 2014 Neil Lancastle, one of the School’s current PhD students, brings his experience of curricular reform in economics to bear upon the promises (and problems) of being “critical” in a School of Management.

  • Jennifer Smith Maguire

    Jennifer is Senior Lecturer in Cultural Production and Consumption. Her research focuses on the intersection of processes of cultural production and consumption in the construction of markets, tastes and value.

  • Introduction to Finance

    Module code: MN1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Introduction to Finance

    Module code: AF1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Before you arrive

    Checklists for what to bring to university – your accommodation, how to register, getting to Leicester, budgeting, and starting your studies.

  • A day in the life of an animal technician

    Read more about what a day is like for an animal technician in our DBS facility at Leicester.

  • Biological Sciences BSc

    From the simplest to the most complex organisms, from the molecular level to the evolutionary development of species, the living world is endlessly complex and fascinating. This degree takes you across biological boundaries with the option to specialise in your second year.

  • 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.

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