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24491 results for: ‘晨风网址发布页V1.0✅项目合作 二开均可 TG:saolei44✅.iZSCQOpmSBoyqyB’

  • Managing Digital Technologies

    Module code: MN1024 Every day, more and more data is available to businesses and organisations. Thanks to the advent of new technologies, businesses know more about their customers and their market than ever before.

  • Analysis and Design of Algorithms

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

  • Analytical Chemistry in Practice

    Module code: CH2206 During your first year, you would have been introduced to analytical chemistry, which studies and uses instruments and methods to analyse the separation, identification and quantification of chemical compounds.

  • 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.

  • Analytical Chemistry in Practice

    Module code: CH2206 During your first year, you would have been introduced to analytical chemistry, which studies and uses instruments and methods to analyse the separation, identification and quantification of chemical compounds.

  • 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.

  • 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.

  • 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.

  • Matthew Benyon

    Matthew Benyon, PhD candidate, University of Leicester HPRU

  • 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.

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