|Week||Week Beginning||Lecturer||Topic||Topic Overview|
|1||21 September||Vinayak Das Gupta||General Introduction|
|2||28 September||Sara Kerr||Crowdsourcing|| Tues – An overview of crowdsourcing types – transcription, metadata, image – as well as crowdsourcing hubs.
Thurs – Why is crowdsourcing used for some academic projects? Some of the processes involved in setting up a project.
|3||5 October||Vinayak Das Gupta||Metadata|
|4||12 October||Sara Kerr||Text Analysis and R|| Tues – An introduction to the R programming language covering the basics of the R language (vectors, sequences, missing values, subsetting, matrices and data frames).
Thurs – Using R for basic text analysis. Practical Assignment 1
|5||19 October||Vinayak Das Gupta||Collections|
|6||26 – 30 October||Reading Week: no classes|
|7||2 November||Vinayak Das Gupta||Linked Data|
|8||9 November||Sara Kerr||Data Mining Text|
|9||16 November||Vinayak Das Gupta||Linked Data|
|10||23 November||Vinayak Das Gupta||Data Visualisation|
|11||30 November||Vinayak Das Gupta||Data Visualisation|
|12||7 December||Sara Kerr||Data Visualisation – Text|
|13||14 December||Vinayak Das Gupta / Sara Kerr|