Instructor: Andreas Veglis
The course studies the issue of data journalism. Today there is a significant availability of data in digital form, which makes necessary the introduction of this form of journalism. Thus the journalist must be able to find, extract, adapt, visualize and interpret data. In order to succeed in such a task he must possess all the theoretical knowledge concerning data manipulation as well as the necessary ICT skills in order to create data visualizations (static or interactive) that will be embedded in his news articles.
- Understand the concept of data journalism.
- Acquire the basic skills in finding and cleaning data sets.
- Comprehend the basic concepts of statistical analysis.
- Acquire the basic skills of using statistical software packages
- Comprehend the basic concepts of data visualization.
- Acquire the basic skills of using data visualization web tools.
- Define the core concepts of data journalism
- Working efficient with data sets
- Define basic concepts of statistical analysis
- Build on data visualization with advanced web tools
Lectures, software packages presentations, web tools presentations, computer assignments, computer laboratory exercises.
|Type of work||Description||Hours|
|Lectures||Thirteen 1-hour lectures||13|
|Laboratory presentations||Thirteen 1-hour presentations||13|
|Laboratory exercises||Thirteen 1-hour exercises||13|
|Independent study||Study of compulsory and optional literature||40-45|
|Short assignments||4 short assignments after the completion of the core modules||120-140|
|Final Data Project||Create and publish a data project||60-70|
|Type of assessment||Learning outcome||Impact on final grade||Date of assessment|
|Participation in group discussion||1||10%||1st-3rd week|
|Short assignments||2-4||30%||4th-11th week|
|Final Data Project||1-4||40%||13th week|
Data Journalism Handbook, Jonathan Gray, Liliana Bounegru, Lucy Chambers, http://datajournalismhandbook.org/.
Interactive Data Visualization for the Web, Scott Murray, O Reilly 2010.
Data Journalism: Mapping the future, John Mair, Richard Lance Keeble, Abramis Academic Publishing, 2014.
Data Journalism Heist, Paul Bradshaw, LeanPub 2013.
Scraping for Journalists, Paul Bradshaw, LeanPub 2014.