Syllabus 2020-21
Weekly planning
- Intro | Course goals | Organisation | Technical preparation 20210209
- "math anxiety"
- the data pipeline
- definitions of popular culture & popular culture media
- assignment: install OpenRefine
- Acquiring datasets 20210216
- structured and unstructured data
- concept: webscraping (examples with Outwit Hub)
- intro OpenRefine functionality
- assignment: get used to OpenRefine navigation, explore datasets: practice filters and facets
- Cleaning Data 20210223
- what is "cleaning"?
- assignments:
- find and paraphrase the quantitative research questions in a set of articles on Japanese popular culture
- OpenRefine: analyse, edit and fix cells
- Data analysis 20210302
- introduction textanalysis and textmining
- mailgloss project
- NLTK Python library
- MeCab
- Nvivo
- example network analysis
- assignments:
- data cleaning exercise
- explore the Aozora Bunko repository
- introduction textanalysis and textmining
- DataViz 20210309
- data visualisation: why, what, how
- Tableau & D3.js
- assignments
- find solutions with GREL
- digest tableau tutorial
- Set-up groupwork 20210316
- D3.js work-out
- recap data pipeline
- assignments
- emulate D3.js scripts fileset I
- projectgroup meetings from here on
- Research week 1 20210323
- research howto (reference materials)
- feedback assignments session 3
- assignments
- scraping exercise with OpenRefine
- Research week 2 20210330
- character encoding and conversion (reference materials)
- feedback assignments session 4 & 5
- assignments
- emulate D3.js scripts II
- reconciliation with OpenRefine: go through documentation
- exercise textanalysis/OpenRefine with Aozora Bunko repo
- Research week 3 20210420
- assignment
- exercise reconciliation with OpenRefine
- wrap up webscraping and text analysis
- assignment
- Production week 1 20210427
- Production week 2 20210504
- Production week 3 20210511
- Round-up & Feedback 20210518