Undergraduate Courses

• 2016-today
  Data Journalism

  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.

• 2016-today
  Information Technologies to Communication & Mass Media

  Semester: ?', 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-today
  Applications of Information Technology to Communication and Mass Media

  Semester: ?', 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.

• 2002-2015
  Introduction to New Technologies and their Application in Communication

Postgraduate Courses - Data Science in Communication and Journalism

• 2016-today
  Machine Learning Algorithms for Data mining

  Machine 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-today
  Big 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-today
  User-Centered Design Methodology for Web Based Interactive Environments

  During 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
  User Behavior Prediction and Profiling
• 2009-2015
  Adaptive and Personalized Communication Environments

Older Courses (no longer available)

• 2003-2006
  Online Databases
• 2003-2006
  Design and Content Management at the Digital Environment
• 2003 - 2004
  Design and Development of Digital Media and Multimedia