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  • State Variable Control

    Module code: EG3313 This module offers a more advanced approach to control engineering using a technique called state-space representation, which is particularly useful to control systems with multiple control input signals and controlled variables.

  • Scholarships and discounts

    We are committed to attracting the brightest and best postgraduate students to Leicester regardless of background. Find out about our scholarships and discounts.

  • Biochemical Mechanisms of Human Disease

    Module code: MB3001 This module will be centred on the experimental approaches used to investigate a range of human diseases.

  • Bioinorganic Chemistry

    Module code: CH7308 This lecture course will introduce you to the roles of various elements in biological systems. In particular, you will focus on studying elements that are not considered to be the constituents of living matter.

  • Biochemical Mechanisms of Human Disease

    Module code: MB3001 This module will be centred on the experimental approaches used to investigate a range of human diseases.

  • Biochemical Mechanisms of Human Disease

    Module code: MB3001 This module will be centred on the experimental approaches used to investigate a range of human diseases.

  • Aims and Methods in Archaeology

    Module code: AR1601 This module provides an introduction to key ideas and issues, including a discussion of what archaeology is, and what archaeologists actually do.

  • Eyres Monsell, Leicestershire

    Listen to speakers from Eyres Monsell, Leicestershire from a range of backgrounds as part of the dialect project between researchers from Nottingham Trent University and the University of Leicester.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

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