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7676 results for: ‘基于springboot的学生成绩管理系统源码✅项目合作 二开均可 TG:saolei44✅.kLKilGCgFhXYY’

  • Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei

    Academic and staff blogs from the University of Leicester

  • Andrew Dunn: Page 86

    Academic Librarian.

  • Diversity in Media new tool

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on February 15, 2019 DIVA is an online resource developed by David Deacon and James Stanyer of the Centre for Research in Communication and Culture, Loughborough University in collaboration with Business...

  • Academic and teaching staff

    Browse the academic staff in Museum Studies at the University of Leicester.

  • Professor Vincent Newey (1943–2020)

    Professor Philip Shaw writes: It is with deep sadness that I share the news that Vincent Newey, our colleague, friend and former Head of Department, has passed away.

  • What makes some people simply able to carry on in the face of adversity

    The ability to ‘Keep Calm and Carry On’ could explain why some people suffer less depression and anxiety when faced with adversity, research has discovered.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

  • Methods in Physical Chemistry 1

    Module code: CH7005 In this module, you'll look at planet Earth as a single physical system - the net result of interacting chemical, physical, biological and dynamical processes involving the geosphere, atmosphere, hydrosphere and biosphere.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

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