The course consists of 12 sessions concentrated in 4 2-day periods. Each session lasts for 100 minutes.
Attendance and class-room participation 10 %
Data abstract 15%
In-class presentations 30 %
Individual student project & final paper 45%
Final papers will be due on the 26th of March 2019
Students are required to attend classes regularly, familiarize themselves with each session’s reading list and to participate actively in course discussions, in particular providing constructive feedback on other students’ presentations.
Students will pick a data source and research question at the beginning of the course which they will have to regularly work on and report to the class. The methods and approaches learnt in each session will have to be applied to the selected source and research question.
Students will have to write individual final papers and submit their database and codes which they produced throughout the whole course. The final paper will be short, not longer than 3000 words, describing and critically assessing the data source, data collection method, and analytical tools used in light of the selected research question and relevant prior literature. Great emphasis will be given to the submitted database and annotated codes. Final student project delivery is due 1 week after the last session.