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13044 results for: ‘museum studies’

  • Introduction to Functional Data Analysis

    Module code: MA3202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA7202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA3202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Careers

    Career coaching As part of the PhD, students have exclusive access to a career coaching programme, developed with external collaborators and run in conjunction with the Wellcome Trust DTP at the University of Nottingham.

  • Introduction to Functional Data Analysis

    Module code: MA4202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA4202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Introduction to Functional Data Analysis

    Module code: MA7202 This module introduces methods for Functional Data Analysis (FDA) with an emphasis on practical issues and applications. It introduces to students the concept of functional data and the methodologies for analysing such data.

  • Wasyl Cajkler

    The academic profile of Professor Wasyl Cajkler, Professor of Education at University of Leicester

  • China

    We welcome students from China. Find out about entry requirements, the Chinese student community and other country-specific information.

  • Neonatal care recommendations for preterm babies could help save lives

    A new study led by the University of Leicester has set out a series of recommendations for improving care for babies born preterm and their families.

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