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  • 19th October 2014 Sol 783

    Posted by jbridges in Mars Science Laboratory Blog on October 19, 2014 Today marks the closest approach of Comet Siding Spring to Mars.  Curiosity will be pointing MastCam and ChemCam towards it, and have been practising targeting  at stars like Spica.

  • Silence at the University of Tokyo

    Dr Jim King from the School of Education will be giving a talk to the Tokyo Discourse Group at the University of Tokyo’s Hongo Campus from 18.30 to 20.00 on Thursday 21 April.

  • Tuesday 4th September Sol 28

    Posted by jbridges in Mars Science Laboratory Blog on September 4, 2012 The High Resolution Stereo Imager Experiment (HiRise) onboard the Mars Reconnaissance Orbiter MRO has returned new images of the Bradbury landing site and Curiosity itself.

  • Fundamentals of Data Science

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  • Fundamentals of Data Science

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  • Introductory Data Analysis

    Module code: FS0033 This module will teach you the fundamental statistical skills necessary for any quantitative degree, and is designed to bring you to a level of knowledge and competence equivalent to elements of advanced level statistics.

  • Introductory Data Analysis

    Module code: FS0033 This module will teach you the fundamental statistical skills necessary for any quantitative degree, and is designed to bring you to a level of knowledge and competence equivalent to elements of advanced level statistics.

  • Introductory Data Analysis

    Module code: FS0033 This module will teach you the fundamental statistical skills necessary for any quantitative degree, and is designed to bring you to a level of knowledge and competence equivalent to elements of advanced level statistics.

  • Sunday 7th October Sol 61

    Posted by jbridges in Mars Science Laboratory Blog on October 8, 2012 One of the major challenges in preparing a spacecraft for Mars is ensuring that the chemical analyses made by the instruments, in particular for the SAM mass spectrometer are not contaminated by material...

  • A workflow for data analysis

    discuss of my workflow for statistical analysis and how it varies from workflows for data science

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