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9702 results for: ‘global learning outcomes’

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

  • About the School of Education

    The School of Education at the University of Leicester is one of the largest in the UK and has a long-standing reputation for teacher training, research and professional development. Find out more about us.

  • Keeping our data safe

    The shape of the next generation of data-driven technologies will depend upon how we address concerns about the security and integrity of data today, a University of Leicester scientist will argue at the GREAT Festival of Innovation in Hong Kong.

  • Discovering a King

    Dr Turi King led the genetic investigation to establish the identity of King Richard III.

  • Research degrees

    A PhD in Education from the University of Leicester is designed to equip professional educators with a wide range of research skills, knowledge, understanding and expertise in their chosen field of research.

  • Information Processing and Cognition

    Module code: PS2111 In this module, you will discover how humans and, in some cases other animals, acquire, store and use information to reason and solve problems.

  • Information Processing and Cognition

    Module code: PS2111 In this module, you will discover how humans and, in some cases other animals, acquire, store and use information to reason and solve problems.

  • Information Processing and Cognition

    Module code: PS2111 In this module, you will discover how humans and, in some cases other animals, acquire, store and use information to reason and solve problems.

  • “We are here to listen, learn and serve” – Dr Vijay Sharma on building a truly civic university 

    At the heart of the University of Leicester’s civic mission is Dr Vijay Sharma, our Pro-Chancellor for Community Engagement – a role that’s as visionary as it is vital.

  • Human fingerprint on forest disturbance patterns as viewed from space

    A team of researchers from the UK and Europe used remote sensing data to describe the landscape structure of forest disturbances and assess how these differ across regions and under human influence

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