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July 2017

DTU skills training ‘Text Mining’

17 July 2017 - 18 July 2017
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October 2017

DTU skills training ‘Digital Source Criticism’

30 October 2017 - 31 October 2017
DH Lab, MSH, 1st floor Luxembourg + Google Map

DTU skills training on “Digital Source Criticism” 30-31 October, 2017 Historians of the 21st century need to be aware of how the transformation from analogue to digital affects the epistemological value and appearance of a source. The traditional way of questioning the authenticity of a document by finding out who created it, at which time, for which purpose and in which context, has been challenged now that the prefix ‘digital’ has been added to ‘source criticism’. This skills training explores…

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November 2017

DTU skills training ‘Database Structures’

16 November 2017 - 17 November 2017

DTU skills training on “Database Structures” 16-17 November, 2017 What are (big) data? What are databases? What are database structures? What can we do with them? This skills training provides an introduction to different database systems and applications, and how to work with them in historical research. The training day offers an introduction to hand-curated data, and the various ways it can be stored: blog entries, text files, presentations, office documents, Wikis, note-taking software, spreadsheets, SQL databases. We will look…

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December 2017

DTU skills training ‘Introduction to programming (Python)’

4 December 2017 - 8 December 2017

DTU skills training “Introduction to Programming” 4-8 December, 2017 This workshop provides an introduction to computational text analysis with Python for scholars in the Humanities. Computational text analysis has gained popularity across different fields in the humanities, with successful applications such as computational authorship attribution, personality detection, linguistic profiling, and topic modelling. The goal of the workshop is to introduce common technologies used in computational text analysis and to make participants familiar with the dominant programming language taught at universities,…

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February 2018

DTU skills training ‘Data Visualization’

2 February 2018 - 5 February 2018

DTU skills training 'Data Visualization'.

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March 2018

DTU skill training ‘Tool Criticism’

15 March 2018
U.Lab, MSA, 1st floor
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April 2018

DTU skills training ‘Algorithmic Critique’

18 April 2018 | 09.00 - 17.00
MSA, room 2.200

The objective of this skills trainings is to make students familiar with ‘Algorithmic Critique’ as an important skill in Digital History and Humanities research. Specifically, the training provides an introduction to optimisation, search and decision problem modelling. Various solving techniques based on exact methods (A*, B&B, LP), approximated ones (heuristics, meta-heuristics, problem relaxation) and hybrids will be demonstrated and experimented with. Students are also taught how to validate the proposed solution by having a scientific approach. The practical session involves…

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May 2018

DTU skills training ‘GIS-analysis, Mapping & Cartography’

11 May 2018 - 14 May 2018
T.b.c.

Today historians, geographers and social scientists and like have at their fingertips a myriad of digital resources (digital born or digitised). They may be formal or informal datasets  open  for public use or held behind closed doors, but common to all is the implicit or explicit geographical information that they contain. Thus, they are ripe for use in research. The geographic information within has the potential to enrich our knowledge about the relationship between people, places and time, bringing us…

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July 2018

DTU skills training ‘Experimental Media Ethnography’

4 July 2018 - 6 July 2018
DH Lab, MSH, 1st floor Luxembourg

(Description will follow)

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November 2018

DTU teachings: Where? Digital Historical Cartography (practice)

27 November 2018 | 11.30 - 13.00
DH Lab, MSH, 1st floor Luxembourg + Google Map

Where? Digital Historical Cartography (practice) Teachers: Sam Mersch, Kaarel Sikk & Jan Lotz Students will learn about QIS as an open-source GIS tool and its usage, while creating maps and visualising geographically relevant data.

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