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14228 results for: ‘CONTACT COLASHIP.SHOP TO ’

  • Mastering Medieval Sources

    Module code: HS7022 The range and scale of sources for studying the Middle Ages is vast, and few students have had the opportunity to tackle more than a few during their undergraduate degrees.

  • Business Ethics

    Module code: MN3109 From cutthroat Wall Street traders to corruption, sweatshops to environmental damage, false claims to pyramid schemes; there are endless stories about shady business practices.

  • Academic Practice and Professional Skills

    Module code: MN7400 During this module, you’ll be engaging with a range of academic practices and critical thinking where you’ll identify and reflect upon the different learning styles, and how they inform our approach to learning and study.

  • Research students

    Browse the research students who work and research within the Centre for Translation and Interpreting Studies, and see their research topics.

  • Transport to death or transport to safety?

    Barry Hawthorne, PhD Student has entered a piece entitled 'Transport to death or transport to safety?'

  • Reunions

    If you would like to plan a return visit to campus with your old course mates or friends just get in touch with the Alumni Engagement Team and we will help you make it a success.

  • Mining big data

    Major trauma or life threatening injuries is the most likely cause of fatality in children and adults up to the age of 55 in the UK, causing some 3,000 hospital deaths a year.

  • Professor Dan Ladley

    Professor Dan Ladley: Expert in financial regulation, and your future qualification There are important discussions going on around financial regulation; what the next crisis will be and how to prevent and limit the scope of crisis.

  • Paula Severi

    The academic profile of Dr Paula Severi, Teaching Fellow at University of Leicester

  • Applied Micro-econometrics

    Module code: EC7058 Micro-econometrics combines statistical methods, behavioural assumptions, and economic modelling to estimate causal relationships between variables.

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