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  • Prague Spring Digital Library

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on February 27, 2017 New from the  collaboration between the University of Texas at Austin, the Center for Russian, East European, and Eurasian Studies (CREEES), and the Lyndon B.

  • Sri Lanka terrorism threats; get some academic facts

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on May 3, 2019 The recent terrorist attacks in Sri Lanka  have left the world in shock.

  • Just Not Sorry

    Posted by Stephen Wood in School of Business Blog on March 16, 2016 A ‘Just Not Sorry’ app has recently gained publicity, in which women in particular are encouraged to stop saying sorry.

  • Unlocking our sound heritage

    Colin Hyde and Richard Wheelband are Oral History experts working with the East Midlands Oral History Archive.

  • Locating Heritage

    Module code: MU7521 This module is about locating the term ‘heritage’ in its various contexts, as a concept, a process and a resource. 'Heritage' is a fluid, contested and complex term and its meanings and uses have changed over time.

  • Foundations of Cybersecurity

    Module code: CO7099 How can computer systems defend themselves against network attacks? How can we ensure that our data has not been tampered with, or disclosed without our consent? How can we be sure of the identity of the party whom we are communicating...

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

  • Foundations of Cybersecurity

    Module code: CO7099 How can computer systems defend themselves against network attacks? How can we ensure that our data has not been tampered with, or disclosed without our consent? How can we be sure of the identity of the party whom we are communicating...

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

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