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  • Fundamentals of Data Science

    Module code: MA3419 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.

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

  • How we use your personal data

    Find out how we use the data we process via the Consent Form in accordance with GDPR regulations, and read our Privacy Notices for both the consent process and for funeral documentation.

  • Students invited to take on the Miserchef challenge

    Students are to apply to take part in a ‘MiserChef’ competition as part of National Student Money Week from 9-13 February, where the idea is to demonstrate how you can have a healthy and nutritious meal on a tight budget.

  • Stem cell research to help fight brittle-bone disease osteogenesis imperfecta

    A study involving Professor Raymond Dalgleish (pictured) from the Department of Genetics is to be conducted for the first time involving the transplantation of stem cells into foetuses with the brittle-bone disease osteogenesis imperfecta (OI), which causes repeated...

  • Wei-Fen Chen

    The academic profile of Dr Wei-Fen Chen, Lecturer in Marketing at University of Leicester

  • Data Structures and Development Environments

    Module code: CO1005 This module will take you beyond the elementary parts of the Java language, introducing advanced features of the language which require sophisticated design and development tools, techniques and algorithms.

  • Friday 4th January 2013 Sol 147

    Posted by jbridges in Mars Science Laboratory Blog on January 4, 2013 Curiosity and the science and engineering teams are getting back up to full activity after the Christmas and New Year break.

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