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9779 results for: ‘global learning outcomes’

  • Introductory Organic and Inorganic Chemistry

    Module code: NT2008 Organic materials and compounds all contain carbon atoms. They comprise most known chemicals, form the basis for all life on Earth and have a huge amount of commercial applications.

  • The case for ‘remain’ in the EU referendum – my view as the director of a €1.5 million European fund

    Posted by Clare Anderson in Carceral Archipelago on June 13, 2016   At the end of last week, thirteen Nobel prize-winning scientists wrote a letter to the right leaning newspaper The Daily Telegraph , urging Britain to vote ‘remain’ in the forthcoming European Union (EU)...

  • Our students take part in European Central Bank QA

    Students on our School of Business Intermediate Macroeconomics 2 module led by Professor Panicos Demetriades, took part in a live Twitter Question and Answer session with The European Central Bank’s (ECB) Executive Board Member and Chief Economist Peter Praet on Thursday...

  • Policy on student engagement

    Download the policy on student engagement (PDF, 171kb) Introduction and scope 1.1 Regular engagement is an important aspect of learning and the student experience. Students who engage with all aspects of their programme are more likely to succeed with their studies. 1.

  • New trial could transform heart health of dialysis patients

    A new trial with the potential to transform the heart health of patients with kidney failure has today been launched by the University of Leicester, the NIHR Leicester Biomedical Research Centre (BRC) and British Heart Foundation (BHF).

  • Developing Academic and Management Skills for Healthcare

    Module code: MN7441 This module aims to equip you with the academic study tools and techniques necessary to complete your programme of studies.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Metals in dust and soils and health

    The aim of this project is to investigate exposures to metals from soils and dust and assess potential health risks.

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