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24414 results for: ‘MeiuPic美优相册管理系统源码v3.0✅项目合作 二开均可 TG:saolei44✅.GiCPXNwFNxSsqB’

  • 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.

  • PhD Student Has Review Published in Green Chemistry

    A University of Leicester Chemistry PhD student's critical review, The importance of design in lithium ion battery recycling, has been published and garnered international attention via her interview with Green Rocks.

  • Land Law (advanced)

    Module code: LW3392 You may not realise it yet, but Land Law affects you.

  • Land Law

    Module code: LW2390 You may not realise it yet, but Land Law affects you.

  • Nature, Culture, Country: SW USA

    Module code: GY3317 Initial learning outcomes Upon completion of this module, students will be able to: Critically evaluate competing claims to natural resources in the SW USA, and relate these to wider debates about natural resources in academic geography Analyse...

  • Working with Geographical Information

    Module code: GY1019  In this module, students will be introduced to a variety of fundamental descriptive and comparative statistical methods. First we cover the basics of how to describe and summarise geographical data, numerically and graphically.

  • Analysis and Design of Algorithms

    Module code: CO7002 Algorithms are step-by-step procedures, such as those executed by computers, to solve problems.

  • Chinese Media and Popular Culture in a Global Context

    Module code: MS7052 All aspects of Chinese popular culture will be investigated in this module, and you’ll gain an understanding of the influential social factors behind the media, as well as its implications.

  • Games and Culture

    Module code: MS3011 Digital games are one of the top-selling entertainment industries as well as a popular and commonplace leisure activity.

  • Leicester Criminologist to give expert evidence to House of Commons Home Affairs Committee

    Professor Neil Chakraborti (pictured), Head of the Department of Criminology and Director of the Centre for Hate Studies, has been invited to give expert evidence to the House of Commons Home Affairs Committee on 6 February.

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