Identify innovative forms of storytelling based on computation and data.

Develop data storytelling and computing skills to create journalistic stories.

Address challenges involving more complex data, deeper analysis, interviews, or more intricate visualizations.

Collect their own data for projects and work in teams to produce complete data stories.

Become familiar with contemporary scientific methodologies and techniques, modern digital tools, and GIS and mapping techniques.

Understand which data are made public and which are not.

Identify patterns in data and understand their characteristics through visualizations.

Discover unpublished stories through the visualization of geographical data.

Explore various modes of expression for data-centered visual stories.

Focus on modern presentation techniques and interactive visualization, using programming (JavaScript, Python, etc.).

Create an interactive project on a specific topic of their choice.

The course is assessed in the English language.

The assessment includes weekly lab assignments (30%), a written project (60%), and a public presentation of the written project (10%).

The assessment methods, procedures, and criteria are communicated to students during the first lecture. Relevant announcements and materials are posted on the e-class online platform.