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Geospatial Artificial Intelligence
https://le.ac.uk/modules/2026/gy7708
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First Year Tutorials
https://le.ac.uk/modules/2026/gl1100
Module code: GL1100 We believe that students benefit significantly from small group teaching, which has been shown to improve retention of information, enhance critical thinking skills, and consolidate learning.
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Linear Algebra 2
https://le.ac.uk/modules/2026/ma1116
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Geospatial Artificial Intelligence
https://le.ac.uk/modules/2027/gy7708
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Embrace Arts will soon be Attenborough Arts Centre
https://le.ac.uk/news/2015/march/embrace-arts-will-soon-be-attenborough-arts-centre
The University of Leicester’s new gallery is moving towards its target completion date in Autumn 2015.
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Daniel Z. Hao
https://le.ac.uk/people/daniel-hao
The academic profile of Dr Daniel Zhou Hao - Lecturer (Assistant Professor) at University of Leicester, specialised in AI, Robotics, Space Technologies. Robotic Manipulation System Lead for ESA/NASA Mars Sample Return (MSR) DWI Project
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Principles of Finance
https://le.ac.uk/modules/2025/ec2022
Module code: EC2022 Living in a post-financial crash world, it is important to understand the theoretical frameworks of global finances and their potential implications from a practical point of view.
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Victorian Perspectives
https://le.ac.uk/modules/2026/en7405
Module information with key themes such as social and cultural issues pertinent to the Victorian period of literature, as part of University of Leicester MA.
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Victorian Perspectives
https://le.ac.uk/modules/2027/en7405
Module information with key themes such as social and cultural issues pertinent to the Victorian period of literature, as part of University of Leicester MA.
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Over £600,000 for University of Leicester to shrink AI algorithms for smarter spacecraft
https://le.ac.uk/news/2024/july/shrinking-ai-spacecraft
Multidisciplinary team from University of Leicester receives £690,000 funding from UK Space Agency and aims to develop and demonstrate streamlined machine learning algorithms suitable for limited spacecraft power and computing performance