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9749 results for: ‘global learning outcomes’

  • People

    Browse the staff and PhD students in Museum Studies at the University of Leicester.

  • University of Leicester partners with Bluesky International to revolutionise tree mapping technology

    A new Knowledge Transfer Partnership (KTP) will enhance Bluesky’s National Tree Map

  • Leicester MP learns how city university supports communities and shapes national policy

    The University of Leicester welcomed one of the city’s new MPs to campus to showcase the work it does with local businesses, communities and at national policy level.

  • Bear Hunt

    Learn more about the We Are Going on a Bear Hunt programme that we offer to primary school children.

  • Leicester cosmic explosion expert among exceptional scientists elected as Royal Society Fellows

    University of Leicester’s Professor Nial Tanvir receives one of science’s highest honours, recognising a career spent studying the Universe’s brightest and most violent explosions

  • Where is the riskiest place to live?

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on May 3, 2016 Download the latest world ranking from United Nations University – Institute for Environment and Human Security.  It considers risk from extreme natural events and ranks 117 nations.

  • English Grammar in Use

    English Grammar in Use EL2013 course offered by the ELTU.

  • Senate regulation 3: Regulations governing fees

    Downloadable version of Senate Regulation 3 (PDF, 229KB) General 3.1 These regulations apply to all students registered at the University on a taught programme of study, and to associate students registered on one or more modules.

  • Daniel Z. Hao

    The academic profile of Dr Daniel Zhou Hao - Lecturer (Assistant Professor) at University of Leicester, specialised in AI, Robotics, Space Technologies. Robotic Manipulation System Lead for ESA/NASA Mars Sample Return (MSR) DWI Project

  • Over £600,000 for University of Leicester to shrink AI algorithms for smarter spacecraft

    Multidisciplinary team from University of Leicester receives £690,000 funding from UK Space Agency and aims to develop and demonstrate streamlined machine learning algorithms suitable for limited spacecraft power and computing performance

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