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7621 results for: ‘自动发货系统个人自动发卡密自动发货平台网站源码包搭建一条龙服务✅项目合作 二开均可 TG:saolei44✅.vixIddPcmThcjd’

  • Data Science MSc, PGDip

    In this conversion course you will learn how to interrogate existing data sets to solve problems and communicate your solutions with maximum visual impact to a range of audiences.

  • Learning outcomes taken to the extreme: what not to hope for in HE – University of Leicester

    The 'Learning Outcomes Project' at the University of Leicester. Learning outcomes taken to the extreme: what not to hope for in HE.

  • Making learning outcomes really student-centred – The University of Leicester

    The 'Learning Outcomes Project' at the University of Leicester. Making learning outcomes really student-centred.

  • Introducing students to what lectures are for (and not for)

    Posted by Steve Rooney in Leicester Learning Institute: Enhancing learning and teaching on September 18, 2019 This is a draft preview version of a resource currently in production.

  • Meet the team

    Our dedicated Student Recruitment and Outreach team are on hand to assist you and your students as they transition into Higher Education.

  • Book Group: Pigeon Pie

    Summary of the Waugh Book Group discussion of Nancy Mitford's Pigeon Pie, Saturday 16 May 2015

  • Workshops

    A description of the workshops to be held at the MREM Conference 2023

  • Talking points a range of topical issues tackled by academics 18 June 1 July

    Professor Philip Shaw from the School of English has written an opinion piece for The Conversation where, two centuries after Waterloo, he discusses the famous painting commissioned by the Duke of Wellington after he triumphed over Napoleon.

  • Adult education Theres no age limit to learning at Leicester

    Charlotte Barratt works in the Widening Participation team at the University of Leicester: "I work mainly with mature students: My work involves encouraging people over the age of 21 to come to university, to highlight their options and to try and encourage them to come...

  • Machine learning reveals clues to improved weather forecasting in our atmosphere

    Inspired by statistical mechanics, scientists co-led by University of Leicester applied algorithms designed to study molecules to atmospheric data and identified patterns in atmospheric fields that give clues to when weather variations will occur

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