7.5 credits (Uppsala University)

Autumn semester full-time 100%

The course will take place at campus Engelska Parken, Uppsala University at the Department of ALM.

The course is targeted towards PhD students in the humanities and social sciences who do not yet possess specific computational or technical skills, but who are interested to learn more for their future thesis work. The aim of the course is to introduce DH methods from a humanities and social sciences perspective. After completing the course, students are expected to have gained the following knowledge and skills: familiarity with computational text analysis methods and their relevance for humanities and social sciences tasks, knowledge about machine learning and its basic concepts (as well as such methods’ possibilities and limitations), practical skills to employ computational methods for text analysis by using existing software, and, by following and adapting basic programming scripts, the ability to critically reflect upon the results derived from computational methods (regarding ethical, statistical, and empirical/material-oriented concerns). The course consists of the following thematic areas: introduction to cultural analytics and Python, data collection (web scraping, APIs, social media), natural language processing and computational text analysis, and computer vision.