Collecting Digital Data for Social Sciences

COS-R413 / COS-D430 Computational Thinking, Programming and Social Science or similar skills

1. Students can scrape data from static webpages
2. Students understand the operation of simple APIs and can pull data from those using GET requests
3. Students can examine websites to find potential hidden APIs from websites
4. Students can collect data from online platforms which require OAuth authentication
5. Students can list other forms of digital data (away from websites and social media content) and describe how it would be collected
6. Students can explain limitations digital data have
7. Students can justify the data collection in terms of research ethics and legal perspectives

Nelimarkka, Matti (2023): Computational Thinking and Social Science Combining Programming, Methodologies and Fundamental Concepts

Completion methods

Participation in teaching:

• Class discussions
• Written and programming exercises

Assessment practices and criteria

Activities and methods in support of learning

Target groups

Priority is given to COS students, after them to Master's students (incl. Master's level exchange students) and doctoral students of the Faculty of Social Sciences. If there are places left other master's students (incl. exchange students) and doctoral students are welcome to attend the course. Three places are reserved for continuous learning students. 

Schedule

I

This course is organised every second year.

Recommended time or stage of studies for completion

Study module

Expiry of studies

Please see the instructions on expiry of studies(Avautuu uuteen välilehteen).

Languages of instruction

EQF level

Master's/EQF level 7