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Lecturer(s)
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Matlach Vladimír, Mgr. Ph.D.
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Course content
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Structure of the course Digital Humanities now, why? - brief history on working with human related data Analyzing tables - when it stops to be boring and why - understanding what it is about to analyze data - data representations and vectorization from texts, images, movies, relationships The means - the role of statistics, multidimensional statistics, machine learning, artificial intelligence - applications Metainformation - the role of metadata and metainformation Mining and interpreting human made data - tables in general, questionaries, surveys - relationships, graphs and social networks - images, movies and multimedia - texts and corporas - sequences Use everything - combining all to mine real structured and unstructured data
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The aim of this course is to provide the audience with an insight into how different types of data or metadata can be processed, interpreted and mined, which are consciously, unconsciously, actively and passively created by people in digital and digitizable form. The course focuses on enumerating the basic skills, tools and disciplines that enable such data to be processed and thus provide insights beyond, for example, human behaviour.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
(1) 100% active participation. (2) Preparation of a seminar paper (3-8 pages).
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Recommended literature
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