After completing this course, the student (that's you!) will be able to
- understand possibilities of open science, open data, and open research tools
- visualize and analyze data sets with some fairly advanced statistical methods
- master a few state-of-the-art, freely available, open software tools
- apply the principle of reproducible research and see its practical advantages
- learn more of all this in the near and distant future ("life-long learning")
Practical information in short form
- Organizers: Centre for Research Methods and Doctoral School in Humanities and Social Sciences
- Course page for official pre-course info: https://courses.helsinki.fi/en/hymy-909/125158217
- Language: "English" (do your best and don't care about the rest!)
- Registration: WebOodi (HYMY-009), but you may well attend without such formalities (postdoc researchers, lecturers, professors, alumni et al), cf. MOOC (O=Open)
- Campus: City Centre of UH, but you may well attend virtually from anywhere, cf. MOOC (O=Online)
- Teaching: On period #2 of UH: starting 30 Oct 2018, ending 12 Dec 2018.
- Class (recommended): Weekly on Tue 4pm-5:30pm, Unioninkatu 35 (auditorium)
- Tools: Bring a laptop computer where you can download and install the required (free) software tools.
- Prepare to work hard, several hours each week (that's what we have done to prepare this course, so now it's your turn!) :) We'll continue in good pace, too...
More information in longer form
Read my blog (written 12-14 Oct 2018, published by THINK OPEN 15 Oct 2018):