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Speaker of the House of Commons to share insights at Leicester
https://le.ac.uk/news/2017/october/speaker-of-the-house-of-commons-to-share-insights-at-leicester
Speaker of the House of Commons the Rt Hon. John Bercow MP will be welcomed to campus on Friday 27 October, where he will share his unique insight into the workings of Parliament with students and staff.
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Internationally renowned novelist joins Leicester’s top academics to discuss why climate change has been banished from fiction books
https://le.ac.uk/news/2022/may/dr-amitav-ghosh
Distinguished author and Booker prize nominee, Dr Amitav Ghosh, will join top scientists and a world-leading historian to explore how the arts and humanities, social sciences, and sciences have shaped, and can shape, our thinking about the climate emergency.
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College of Science and Engineering (CSE)
https://le.ac.uk/lemid/people/college-of-science-and-engineering
LeMID (Leicester Microbial Sciences and Infectious Disease) academic staff members from the College of Science and Engineering (CSE).
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What is a systematic review?
https://le.ac.uk/library/research-support/systematic-reviews
An introduction to systematic literature reviews including definition and process
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Statistical Distributions and Inference
https://le.ac.uk/modules/2025/ma2403
Module code: MA2403 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.
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Statistical Distributions and Inference
https://le.ac.uk/modules/2026/ma2403
Module code: MA2403 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.
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Statistical Distributions and Inference
https://le.ac.uk/modules/2027/ma2403
Module code: MA2403 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.
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Computationally Intensive Methods
https://le.ac.uk/modules/2025/md7443
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.
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Computationally Intensive Methods
https://le.ac.uk/modules/2026/md7443
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.
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Computationally Intensive Methods
https://le.ac.uk/modules/2027/md7443
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.