Search
-
My Dear Bessie A Love Story in Letters
https://le.ac.uk/news/2015/february/my-dear-bessie-a-love-story-in-letters
Professor Bernard Barker, an Emeritus Professor of the University of Leicester's School of Education has written a feature in which he rediscovers his parents' unique love story during a BBC Breakfast interview.
-
Winners of short story competition announced
https://le.ac.uk/news/2015/february/short-story-competition-winners-receive-their-prizes
The winners of the Vaughan Centre for Lifelong Learning Short Story Competition have been announced.
-
Dig to explore story of Castle Hill
https://le.ac.uk/news/2016/september/dig-to-explore-story-of-castle-hill
An ancient monument at the heart of Leicester’s Castle Hill Country Park is due to be investigated later this month as part of a community archaeological project.
-
Cover to cover: the story of our libraries
https://le.ac.uk/centenary/stories/libraries
-
Commercial Law
https://le.ac.uk/modules/2026/lw2002
Module code: LW2002 Commercial operations are at the very core of many businesses and do not always run smoothly. Goods get damaged, don't arrive or are not as expected. Services provided are sometimes inadequate.
-
Commercial Law
https://le.ac.uk/modules/2025/lw2002
Module code: LW2002 Commercial operations are at the very core of many businesses and do not always run smoothly. Goods get damaged, don't arrive or are not as expected. Services provided are sometimes inadequate.
-
Dancing through life
https://le.ac.uk/news/2015/may/dancing-through-life
A former professional dancer, Dr Heidi Ashton from the University’s School of Management has revealed some of the realities of working as a dancer in a new video interview.
-
PARCA-R
https://le.ac.uk/parca-r
Find out more about Parent Report of Children's Abilities (PARCA-R) at the University of Leicester.
-
U
https://le.ac.uk/library/search-collections/databases-az/u
UK Data Service The UK's largest collection of UK and international social, economic and population data, UK Data Service is funded by the Economic and Social Research Council (ESRC).
-
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.