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14064 results for: ‘京东多用户综合商城PC WAP整站带数据源码✅项目合作 二开均可 TG:saolei44✅.aPUznUzoBh’

  • Spectre trailer suggests that Bond is going back to his roots says researcher

    Professor James Chapman from the Department of the History of Art and Film has been featured in an article for the Mirror discussing the new trailer for the upcoming James Bond film Spectre and ways in which it alludes to the franchise's past.

  • Page to Screen: The Translation of Literary Texts to Film

    Module code: EN3136 Over the last century, from the early years of moving pictures until the present day, directors and producers have turned literary texts into films.

  • Two upcoming readings

    Posted by Jonathan Taylor in School of English Blog on October 16, 2014 In the next few days, I’ll be taking part in two public events, at Nottingham Festival of Words, and at the London launch of a unique book of essays.

  • The sweet art of decorating: Bake-off stars delight University of Leicester staff with cake artistry

    15 lucky colleagues attended a biscuit decorating masterclass hosted by three Great British Bake Off contestants

  • Waste Busters

    Learn more about the Waste Busters programme that we offer to primary school children.

  • Arch-I-Scan blog Museum of London Archaeology photography in times of COVID-19 – University of Leice

    Arch-I-Scan project's photography session at Museum of London Archaeology in times of COVID-19

  • Lost for words Poetry aplenty at the Attenborough Arts Centre

    Our Attenborough Arts Centre will be hosting a showcase of spoken word performance poets working with Out-Spoken Press, an independent publisher of poetry and critical writing.

  • Big Data and Predictive Analytics

    Module code: CO7093 As we increasingly rely upon the online environment for our daily routines, we leave behind a vast amount of information about us. Commercial and public organisations can use this information to predict our behaviour.

  • Big Data and Predictive Analytics

    Module code: CO7093 As we increasingly rely upon the online environment for our daily routines, we leave behind a vast amount of information about us. Commercial and public organisations can use this information to predict our behaviour.

  • Big Data and Predictive Analytics

    Module code: CO7093 As we increasingly rely upon the online environment for our daily routines, we leave behind a vast amount of information about us. Commercial and public organisations can use this information to predict our behaviour.

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