DIGITAL HUMANITIES 2: CODING FOR SOCIAL SCIENCES AND HUMANITIES

The course will introduce to the use of the R programming language, starting from a basic level and applying it to data related to Digital Humanities studies, in particular from cultural studies, from sociology and from anthropology. During the course, the various steps to follow to develop a data analysis project will be presented, by making use of text data, numerical data, or graphical data. Theoretical aspects related to the functioning of the tools that are part of these steps will be explained and applied through the use of the R language. The course will highlight how programming and Digital Humanities and Social Sciences can be strictly linked.

The students will be able to use the R programming language to critically analyze data related to Digital Humanities and Social Sciences, such as text, images and numbers. By using the R language, the students will be able to create reports that present the analysis and its results.

There are no prerequisites required.

After an introduction about data analysis and algorithms, the course will cover the following topics:
- Basic R language
- Import data and its management
- Cleaning and tiding data
- Descriptive statistics
- Data visualization
- Analysis of images
- Analysis of maps
- R markdown

Selected articles will be proposed during the course, shared on Moodle

Additional books and manuals (optional):
H. Wickham and G. Grolemund, “R for data science”, O’Reilly Media, 2016 (https://r4ds.had.co.nz )
C. Chapman and E. McDonnell Feit, “R for Marketing Research and Analytics”, Springer, 2015
T. Arnold and L. Tilton, “Humanities data in R. Exploring networks, geospatial data, images, and text” Springer, 2015

The assessment will consist of a take-home test after the first half of the course (20% of the final mark) and in the development of a final project, realized using the R language, to be presented in class (80% of the final mark).

The lessons will be frontal. During the course, the R programming language will be presented and then actively used by, and discussed with, the students. The course will be held online.

written and oral

This subject deals with topics related to the macro-area "Circular economy, innovation, work" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development