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9863 results for: ‘global learning outcomes’

  • Academic Writing and Skills

    Module code: LM7520 Module Outline This module gives students the opportunity to develop their academic writing skills and received detailed feedback before starting their assessed work.

  • Mark Wilkinson

    The academic profile of Professor Mark Wilkinson, Professor of Astrophysics at University of Leicester

  • Information for organisations and volunteers

    How can I get in touch or find out more? If you have a general enquiry, please email refugeap@leeds.ac.uk Follow us on BlueSky at @refugeap.bsky.

  • Studying as a mature student: David's story

    "I can still remember filling in my personal statement and pausing only briefly to reflect on why I wanted to read archaeology at Leicester. "It was a long-standing itch that needed scratching" was how I answered that one.

  • Calcium is key to age-related memory loss

    Research in our Department of Neuroscience, Psychology and Behaviour is offering new clues into how and why cognitive functions such as memory and learning become impaired with age.

  • Student involvement in patient carer educator sessions

    Takunda Nhiwatiwa gives a student' perspective of leading a patient educator session

  • Richard IIIs story to be told to Leicesters schoolchildren

    Thousands of schoolchildren all over the city of Leicester will be learning about the story of Richard III as part of the University’s mission to bring the king to the classroom.

  • Latent Fingerprint Analysis

    Module code: CH7211 This module will develop your understanding of the detection, visualisation and interpretation of latent fingerprints across diverse surfaces.

  • Latent fingerprint analysis

    Module code: CH7211 This module will develop your understanding of the detection, visualisation and interpretation of latent fingerprints across diverse surfaces.

  • Digital Manufacturing and Management Research Group (DMM)

    The Digital Manufacturing and Management research group (DMM) was created to promote and implement cross-disciplinary research in materials and process modelling to advance manufacturing through digitisation and data driven technologies.

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