Search

9667 results for: ‘global learning outcomes’

  • Rigid Body and Structural Dynamics

    Module code: EG3125 This advanced specialist module will enable you to extend your knowledge of engineering dynamics to tackle more advanced dynamics problems.

  • Clinical Skills: Pathophysiology 2

    Module code: PH1006 In this module, you will continue to develop the knowledge of pathophysiology you gained during PH1002 Pathophysiology 1.

  • Investigating Media

    Module code: MS7504 Module co-ordinator: Dr Vincent Campbell Module Outline The ‘methods’ module of the course, designed to improve your ability to evaluate media research, learn some of the key research skills for the study of the media, and find out how to carry out your...

  • Registration

    Registration page for CEHS 2025 conference

  • Advanced Post Mortem Radiology – Adult Natural Death

    Module code: MB7053 In this module you will concentrate on image interpretation through consented, exampled whole and partial body cases.

  • Teaching Mathematics

    Module codes: ED7118, ED7119 In this module you will explore your own teaching and examine some of the challenges facing teachers of mathematics in different settings and across the whole age range.

  • Artificial Intelligence

    Artificial Intelligence – William Darler -zqQcOC8M3U 200|Lecturer in Marketing William Darler discusses Artificial Intelligence (AI) and how students can study any facet of AI, from its impact on customer behaviour to how it impacts people visits to tourist attractions.

  • Differentiating High-Involvement Management from High-Performance Work Systems: Why it Matters for U

    Posted by Chris Grocott in School of Business Blog on July 17, 2020     Professor Stephen Wood argues that focusing on management practices that involve workers in workplace decisions could be the answer to the UK’s productivity crisis.

  • Finding Dolly Shepherd in Historical Directories

    Guest blog post on Edwardian Lady Parachutist Dolly Shepherd, by Debra Wallace

  • MBRRACE-UK collaboration sets out key recommendations for reducing inequities and improving care for babies born to Asian and Black mothers

    The MBRRACE-UK collaboration, co-led by The Infant Mortality and Morbidity Studies (TIMMS) group at the University of Leicester has published the results of a confidential enquiry into the care of Black and Asian babies born in the UK in 2019.

Back to top
MENU