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9816 results for: ‘global learning outcomes’

  • Critical Analysis for Management

    Module code: MN3102 This module provides theoretical and practical insights into how human resource management can be deployed to influence overall organisation strategy.

  • Internationalisation and Teaching International Students

    Posted by Steve Rooney in Leicester Learning Institute: Enhancing learning and teaching on February 3, 2017 On Wednesday 1st February, I had the pleasure of co-running, with Dan Jones from the English Language Teaching Unit (ELTU) , an LLI-hosted session on Teaching...

  • University signs Memorandum of Understanding with NATO Defense College

    Our University and the NATO Defense College (NDC) have concluded a Memorandum of Understanding (MoU), it has been announced today.

  • Diabetes action plan to tackle huge rise in Leicester

    Leicester has become the first UK city to launch a dedicated diabetes action plan as part of a global drive to combat an alarming rise in diagnoses of the condition.

  • 3 Lessons Learned From Failed QI Projects

    Posted by Nate in Medical Leadership in the Foundations on August 23, 2018   Dr Hannah Laidley, AFY2, University of Leicester     Quality improvement work can feel inescapable. That’s because it is; we have to do it to progress through the foundation programme.

  • Nature, Culture, Country: SW USA

    Module code: GY3317 Initial learning outcomes Upon completion of this module, students will be able to: Critically evaluate competing claims to natural resources in the SW USA, and relate these to wider debates about natural resources in academic geography Analyse...

  • Working with Geographical Information

    Module code: GY1019  In this module, students will be introduced to a variety of fundamental descriptive and comparative statistical methods. First we cover the basics of how to describe and summarise geographical data, numerically and graphically.

  • Introduction to the Business Environment

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  • Introduction to the Business Environment

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  • Deep Learning and Computer Vision

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