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Probability and Statistics
https://le.ac.uk/modules/2025/ma1261
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Digital Cinema
https://le.ac.uk/modules/2026/ha7303
Module code: HA7303 The advent of digital cinema has advanced and challenged film theory.
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Photographs of 19 April 2018 event
https://le.ac.uk/crime-representation-anglophone-caribbean/events/april-19-2018/april-19-2018-photographs
See the photographs from the workshops held on 19 April 2018 for the Crime and its Representation in the Anglophone Caribbean project.
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Projects
https://le.ac.uk/research/centres/exoplanet-research/projects
Discover the wide range of projects the Centre for Exoplanet Research are involved in.
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Research case studies
https://le.ac.uk/museum-studies/research/case-studies
Read our case studies to get a taste of some of the amazing research that happens in the School of Museum Studies.
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Annual lecture archive
https://le.ac.uk/victorian-studies/events/annual-lecture/annual-lecture-archive
Browse the archive of past annual lectures hosted by the Centre for Victorian Studies
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£2m study - ethnicity and COVID-19 in healthcare workers
https://le.ac.uk/research/stories/human-health/covid-uk-reach
UK-REACH will investigate data held by national healthcare organisations to understand what the risk of having, and dying from, COVID-19 is for ethnic minority healthcare works.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2024/md7468
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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Andrew Hyam BSc MA
https://le.ac.uk/ulas/about/our-team/andrew-hyam
Learn more about our Senior Supervisor of ULAS, Andrew Hyam.
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Advanced Statistical Modelling (Part-time)
https://le.ac.uk/modules/2025/md7468
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.