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  • C++ Programming and Advanced Algorithm Design

    Module code: CO7104 C++ is one of the world's most popular programming languages, due to its potential for producing efficient and compact code. As such any scientist wishing to develop efficient programs should be familiar with the use of its central features.

  • School of Business Blog: Academic and staff blogs from the University of Leicester: Page 11

    Academic and staff blogs from the University of Leicester

  • Leicester space pioneers return to unveil new Space Research Centre

    Two of Leicester’s first space scientists have returned to open the region’s state-of-the-art Space Research Centre, more than 60 years on.

  • Case studies

    Explore the case studies of the infection models at the Leicester Microbial Sciences and Infectious Disease Network.

  • Summer events revealed for University of Leicester’s Oadby oasis

    The University of Leicester today announces the launch of a summer events programme at the Botanic Garden, in Oadby.

  • Equal Pay Day

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on November 11, 2016 This year equal pay day was 10 th November  This highlights the gender gap in wages as it is calculated by researchers to represent the last day in which women earn the same as men.

  • Older theses

    2009 BRAMMER, B. The Holland Fen: social and topographical changes in a Fenland environment, 1750-1945. SEAL, Christine. Poor relief and welfare: a comparative study of the Belper and Cheltenham poor law unions, 1780-1914. 2008 COOPER, Kathryn J.

  • Events

    Find more information on the events hosted by the Centre for New Writing. Events are usually open to the public and free of charge.

  • £14 million in funding announced for five research projects into land use and Net Zero

    The Land Use for Net Zero Hub, co-led by the University of Leicester and James Hutton Institute, receives £14 million funding for five projects.

  • Collecting and Analysing Data

    Module code: MN2152 This module is your hands-on introduction to the data that drives business insight.  You'll be provided with the tools and techniques used to collect both qualitative and quantitative data and learn how to piece them together meaningfully.

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