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24445 results for: ‘小优家教 1.0.6_家教网站源码✅项目合作 二开均可 TG:saolei44✅.pigWfEiiuzC’

  • Fundamentals of Data Science

    Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.

  • Officers and senior staff

    Browse the officers and senior staff members of the University of Leicester, including the Visitor, Chancellor, Pro-Chancellor, President and Vice-Chancellor and more.

  • Fixed-Income Securities

    Module code: EC7098 Suppose a credit-worthy friend asks for a loan of £100. What terms should you ask for? It is highly likely that you would expect to receive more than £100 in repayment to compensate for the loss of control over your wealth during the loan period.

  • Andrew Hyam BSc MA

    Learn more about our Senior Supervisor of ULAS, Andrew Hyam.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • BSc Project Practical

    Module code: CH3261 You are now coming to the end of your BSc studies here at Leicester, and your practical chemistry skills will have developed immensely. The BSc Project Practical will enable you to put your hard work into practice.

  • Academic Skills for International Students

    A range of free modules, lectures and workshops developed together with academic departments to meet the needs of international students currently studying at the University of Leicester.

  • Fundamentals of Data Science

    Module code: MA7419 Data science is the process of extracting reliable insights and conclusions from data.

  • Fundamentals of Data Science

    Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

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