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Programme of DHDK courses 2023/2024

Course structure diagrams for students enrolled in a.y. 2022-23 and a.y. 2023-24 are available online

Published on 06 September 2023

The programme of all the DHDK courses – i.e. second-year courses for students enrolled for a.y. 2022-23 and first-year courses for students enrolled for a.y. 2023-24 – are now published online.

However, due to administrative issues, we could not publish the content of the programme of two courses, i.e. "Text Encoding and Semantic Representation" (first-year course) and "Information Visualization" (second-year course). For this reason, we temporarily host an abstract of both courses as follows to provide students with a description of the main topic addressed in both.

Text Encoding and Semantic Representation

Period: 8 November - 19 December

Days: Monday 16-19, Tuesday 15-18

Where: Aula Affreschi (via Zamboni 34)

The course offers a gentle introduction to problems, approaches, and technologies for encoding, representing, organizing, and manipulating knowledge. At the end of the course students are aware of theoretical and practical aspects relevant to text encoding (XML/TEI); have acquired all the required skills to produce a machine-readable text; can annotate and extract structured data from encoded texts; can manipulate text and semi-structured data via programming languages (e.g. Python); can transform data into several formats and representations (e.g. HTML, RDF, JSON), and can produce Linked Open Data.

Information Visualization

Period: 8 November - 19 December

Days: Wednesday 13-16, Thursday 13-16

Where: Aula Affreschi (via Zamboni 34)

At the end of the course the student knows principles and methods for knowledge acquisition, data sense making, and data visualization. The student will be able to manipulate existing datasets, especially Linked Open Datasets, and perform tasks such as: querying, filtering, normalising, transforming data into suitable data formats for data analysis purposes. Secondly the student will be able to select representative charts for answering research questions through visual graphics. Lastly, the student will be able to create web applications that leverage data storytelling techniques and show results of the data analysis.