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  • Understanding Surfaces in Engineering

    Module code: EG7028 Surfaces in engineering are important – here we will develop an understanding of the important factors in processing experimental results and data, and develop an understanding of the implications of the results with particular relevance to surface...

  • Chris Bayliss

    The academic profile of Professor Chris Bayliss, Professor of Bacterial Genetics at University of Leicester

  • Cost Engineering

    Module Code: EG7323 Cost engineering is an engineering practice dedicated to the management of all the aspects of product cost, and in this module we will gain an understanding of product cost (which covers both initial cost and lifecycle cost) and its drivers (any factors...

  • Hybrid and Electric Propulsion Systems

    Module code: EG4212 As the world shifts towards more sustainable modes of transportation with particular interests on electrifications, understanding hybrid and electric propulsion systems is key to driving this transformation.

  • Cost Engineering

    Module Code: EG7323 Cost engineering is an engineering practice dedicated to the management of all the aspects of product cost, and in this module we will gain an understanding of product cost (which covers both initial cost and lifecycle cost) and its drivers (any factors...

  • Embracing Diversity at Leicester

    At the University of Leicester, we are committed to ensuring that all our students and staff feel welcomed, valued, and empowered during their time here. Read our Embracing Diversity at Leicester guide.

  • Standing Together

    The narrative thus far has been about standing together against unacceptable behaviours. The ultimate aim has to be moving towards standing together for something more positive.

  • Dr Philippa Douglas

    I am a senior environmental public health scientist in the Air Quality Team and the London Dispersed Team in the Environmental Hazards and Emergencies Department at UKHSA.

  • Game Theory in Computer Science

    Module code: CO4212 Modern computer science has to deal with large, heterogeneous networks in which a large number of autonomous agents interact. Often, such systems are not centrally planned, but evolve in a distributed fashion as a result of the interaction of agents.

  • Game Theory in Computer Science

    Module code: CO7212 Modern computer science has to deal with large, heterogeneous networks in which a large number of autonomous agents interact. Often, such systems are not centrally planned but evolve in a distributed fashion as a result of the interaction of agents.

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