1. Sense making and situational awareness in the Big Data era 2. Visual analytics: history, definition and development process 3. HCI principles: perception and interpretation, cognitive issues, semiotics and creativity 4. Interaction with visual and multi-modal interfaces 5. Processing temporal and geographic data 6. Applications of visual analytics

* Lectures: 1 ECTS. They aim to achieve the specific cognitive competencies of the subject and the transversal competencies of analysis and abstraction. * Practical classes: 1 ECTS. They aim to develop the specific instrumental competencies and the transversal competencies problem solving and application of knowledge. * Case study: 0,5 ECTS. Started during the practical classes and completed outside of them, it aims to complete and integrate the development of all specific and transversal competencies with the design and implementation of a case study through group work. * Tutorials: TUTORIALS. Individual or group tutoring sessions organized by the teacher for the students. * Final exam: 0,5 ECTS. It aims to influence and complement the development of specific cognitive and procedural skills. It reflects especially the use of the lectures.