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Mars Science Laboratory Blog: Academic and staff blogs from the University of Leicester: Page 29
https://staffblogs.le.ac.uk/mars/page/29/
Academic and staff blogs from the University of Leicester
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Copyright and ethics
https://le.ac.uk/emoha/what-is-oral-history/how-to-do-oral-history/interviewing/copyright-and-ethics
Learn more about copyright and ethics when it comes to conducting oral history interviews.
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Award (6.74-6.94)
https://le.ac.uk/policies/regulations/senate-regulations/senate-regulation-6/from-25-26/award
Learn more about awards regulations in Senate Regulation 6.
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Developing Professional Practice
https://le.ac.uk/modules/2024/mu7001
Module code: MU7001 In this module, you'll work proactively to develop your skills and knowledge to become effective as a museum professional.
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Probability
https://le.ac.uk/modules/2026/ma1061
Module code: MA1061 Probabilistic models pervade most areas of our modern world and, as probability statements are almost unavoidable, having a good understanding of what they mean is essential.
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Mathematical Modelling
https://le.ac.uk/modules/2026/ma7080
Module code: MA7080 This module will outline the basic concepts and instruments of mathematical modelling and explain existing models for real world phenomena.
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Resources
https://le.ac.uk/own-write/resources
Find literature related to the project and associated links to related projects and websites.
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Love at Leicester
https://le.ac.uk/news/2018/april/love-at-leicester
A couple who met and fell in love while studying at Leicester has named their son Lester.
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Computational Partial Differential Equations with Finite Elements
https://le.ac.uk/modules/2025/ma3013
Module code: MA3013 This module is centred on the applications of mathematical principles to answer classical physical questions, with a focus on the analysis of partial differential equations.
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Computational Partial Differential Equations with Finite Elements
https://le.ac.uk/modules/2026/ma3013
Module code: MA3013 This module is centred on the applications of mathematical principles to answer classical physical questions, with a focus on the analysis of partial differential equations.