Difference between revisions of "Agenda for 3 June 2017"
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| − | = | + | __NOTOC__ |
| + | = Organisational = | ||
| − | == | + | == Short Recap of This Semester and Outlook to Next Semester == |
| + | [[File:ENC SYSTEME FIGURE.jpeg|right|thumb|"Figurative System of organisation of human knowledge from the ''Encyclopédie''" (1752).]] | ||
| − | * | + | *Theory |
| + | ** definitions of Digital Humanities | ||
| + | ** what is data | ||
| + | ** data formats, file formats | ||
| + | ** linked open data (via DBpedia, Wikidata) | ||
| + | ** Distant Reading (history, theory and practice) | ||
| + | ** Corpus Studies | ||
| + | ** digital editions | ||
| + | ** Visual Analytics (and the historicity of its methods) | ||
| + | ** Network Analysis | ||
| + | ** GIS | ||
| + | ** Wiki technologies | ||
| − | + | * Readings | |
| + | ** Moretti's "Conjectures" and "Network Theory, Plot Analysis" | ||
| − | * | + | * Practice |
| + | ** Stylometry ("… or how do you know it's Shakespeare?") | ||
| + | ** Topic Modeling with Mallet | ||
| + | ** first encounters with command line | ||
| + | ** network analysis with Gephi | ||
| + | ** genesis of a Wikipedia article | ||
| + | |||
| + | * Next Semester | ||
| + | ** learning to code will be main topic (as basis for natural language processing, text analysis and other things) | ||
| + | |||
| + | == Preparation of Colloquium == | ||
| + | |||
| + | We expect a short 5–10-minute presentation on your idea, approach and experience. | ||
| + | |||
| + | * Assessment criteria: | ||
| + | ** content and writing style (use your own words, '''no copy & paste from other web pages''') | ||
| + | ** do you give credit in the right way (captions, quotations, footnotes)? | ||
| + | ** do you make use of imagery or other media files (if applicable)? | ||
| + | ** do you upload own material to Wikimedia Commons? | ||
| + | ** do you reference geocoordinates (for places or historic events)? | ||
| + | ** how did you handle the upload to Wikipedia and what happened afterwards? | ||
| + | ** overall creativity''!'' | ||
| + | |||
| + | Btw, should you still lack a good idea for an article, this one needs some work: '''[https://ru.wikipedia.org/wiki/Цифровые_гуманитарные_науки Цифровые гуманитарные науки]''' | ||
| + | |||
| + | = Wiki-Related = | ||
| + | |||
| + | * biases in Wikipedia | ||
| + | * the tree of Diderot and d'Alembert and the Wikipedia article graph (example around [https://raw.githubusercontent.com/weltliteratur/weighing/master/wikidata_writer_graph.png the 'writer' category]) | ||
Latest revision as of 23:05, 2 June 2017
Organisational
Short Recap of This Semester and Outlook to Next Semester
- Theory
- definitions of Digital Humanities
- what is data
- data formats, file formats
- linked open data (via DBpedia, Wikidata)
- Distant Reading (history, theory and practice)
- Corpus Studies
- digital editions
- Visual Analytics (and the historicity of its methods)
- Network Analysis
- GIS
- Wiki technologies
- Readings
- Moretti's "Conjectures" and "Network Theory, Plot Analysis"
- Practice
- Stylometry ("… or how do you know it's Shakespeare?")
- Topic Modeling with Mallet
- first encounters with command line
- network analysis with Gephi
- genesis of a Wikipedia article
- Next Semester
- learning to code will be main topic (as basis for natural language processing, text analysis and other things)
Preparation of Colloquium
We expect a short 5–10-minute presentation on your idea, approach and experience.
- Assessment criteria:
- content and writing style (use your own words, no copy & paste from other web pages)
- do you give credit in the right way (captions, quotations, footnotes)?
- do you make use of imagery or other media files (if applicable)?
- do you upload own material to Wikimedia Commons?
- do you reference geocoordinates (for places or historic events)?
- how did you handle the upload to Wikipedia and what happened afterwards?
- overall creativity!
Btw, should you still lack a good idea for an article, this one needs some work: Цифровые гуманитарные науки
Wiki-Related
- biases in Wikipedia
- the tree of Diderot and d'Alembert and the Wikipedia article graph (example around the 'writer' category)
