Think in diverse ways to solve problems arising in their research.

Delve into complex topics and draw inspiration from the data.

Identify multiple sources of information and explore various methods of gathering, verifying, and assessing facts.

Think critically about the questions guiding their research.

Use a wide range of tools for news investigation and verification.

Place a story in the proper context, considering social phenomena, gender issues, transparency, and others, while respecting different identities and avoiding any form of exclusion or discrimination.

Become familiar with:

• Concepts and terminology of computational journalism

• Modern methodologies and techniques in data journalism,

• Selected bibliography and important examples thoroughly covering the subject matter.

Understand the basic concepts of data analysis and exploration.

Apply processing techniques to datasets for the creation of journalistic articles.

Recognize patterns and use statistical tools to generate investigative ideas.

Use scientific methodology in reporting, verifying or disproving the initial hypotheses and research questions that arose from the data.

Apply text processing techniques such as syntactic and semantic analysis, sentiment analysis, and trend detection that may serve as research sources.

Use a variety of tools and techniques for cross-checking and verifying news.

Course assessment is conducted in English.

Assessment includes weekly lab exercises (30%), a written project (60%), and a public presentation of the written project (10%).

Assessment methods, processes, and criteria are communicated to students in the first lecture. Related announcements and materials are posted on the e-class platform.