The Data Journalism course seeks to bring the knowledge and the latest scientific outcomes of computational methods, data processing, programming languages and artificial intelligence to young journalists to become the next generation of Data Journalists.
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Courses at the Department of Communication & Mass Media
Undergraduate Courses
- 2016
PresentData Journalism - 2016
PresentInformation Technologies to Communication & Mass MediaSemester: ?', compulsory subject
The main objectives of the course are: a) the students' understanding of the main operating components, the interface and the networking of computers, b) to learn the Internet operating principles and c) to be informed about the information technology applications in communication and mass media.
Description of the course
The course aims to the study of the New Technologies with emphasis on IT applications in communications and mass media. The evolution of technology is presented, the key components of the processing and transmission of information are analyzed and the possibilities offered by information technology in society and the digital life are described.
- 2016
PresentApplications of Information Technology to Communication and Mass MediaSemester: ?', optional subject
The main objectives of the course are: a) to familiarize students with computer applications and the Internet b) to obtain representative application skills in communication and mass media, and c) to teach students content development environments on the internet, in order for them to be able to develop their own content (blog, websites) both in fixed and mobile network environments.
- 2002
2015Introduction to New Technologies and their Application in Communication
Postgraduate Courses - Data Science in Communication and Journalism
- 2016
PresentMachine Learning Algorithms for Data miningMachine learning and data science are an integral part of the processing and understanding of large data sets. Machine learning algorithms can help with most modern applications, such as searching for associations, analyzing emotions, opinions, and customer reviews, or searching for information in large volumes of documents. As part of this course, which is also taught in the summer semester, through supervised and non-supervised learning, participants are invited to implement best practices, generate opinions and understand how they can better focus their information research efforts on large datasets.
Visit the link Data Science in Communication and Media
- 2016
PresentBig Data Analysis in Communication (Data Journalism)This course starts with an introduction to Python programming. Unstructured real-world data sets are cleaned, analyzed, and processed, highlighting contemporary journalistic practices. Participants are familiar with a variety of data formats and methods for storing, accessing, and processing information, such as comma-separated documents, interaction with Web and JSON APIs, document libraries, regular expressions, text mining, SQL databases, and more. Students also have to deal with less accessible data, create web scrapers and turn difficult-to-use PDFs into useful information. The course also includes basic principles of data visualization, as well as leveraging well-known tools such as Google and StackOverflow to solve problems.
- 2009
PresentUser-Centered Design Methodology for Web Based Interactive EnvironmentsDuring this course, the user-centered design methodology which can be used for the development of the majority of digital interactive environments will be presented. These new environments must be designed according to several rules, which ensure usability, reduce complexity, support enhanced levels of interaction, adapted to the peculiarities and preferences of each user, ensure user friendliness and ergonomics, as well as user-centered design in order to avoid disorientation and difficulty in user navigation at the interactive environment.
- 2015
PresentUser Behavior Prediction and Profiling - 2009
2015Adaptive and Personalized Communication Environments
Older Courses (no longer available)
- 2003
2006Online Databases - 2003
2006Design and Content Management at the Digital Environment - 2003
2004Design and Development of Digital Media and Multimedia