At the end of the course, students are expected to understand, explain, and manipulate basic types of data, analyze them using basic visualization techniques, and create and communicate visualizations of data. They are also expected to be able to assess and improve the effectiveness of data visualizations based on the principles of human perception, design, data types, and visualization techniques.
For this, the following competences to be acquired by students during the development of the subject are established:
Basic and general:
CB4 - That students can transmit information, ideas, problems and solutions to a specialized and non-specialized audience.
CG1 - Know and apply the fundamental principles and techniques for information management in the digital medium.
CT4 - Be able to dedicate themselves to autonomous learning for life, allowing them to adapt to new situations.
CE8 - Understand the main techniques and methods of information visualization.
RA1. Having acquired advanced knowledge and demonstrated an understanding of the theoretical and practical aspects and of the working methodology in the area of ¿¿information management and digital content with a depth that reaches the forefront of knowledge.
RA2. Apply the acquired knowledge, the understanding of these and their capacities to the resolution of complex and / or specialized problems in the professional field.
RA3. Have the ability to collect and interpret data and information on which to base their conclusions, including, when necessary and pertinent, reflection on matters of a social, scientific or ethical nature within the scope of their field of study.
RA4. Being able to cope in complex situations or that require the development of new solutions both in the academic, professional and professional fields within their field of study.
RA5. Know how to communicate to all kinds of audiences (specialized or not) clearly and precisely, knowledge, methodologies, ideas, problems and solutions in the field of their field of study.
- Based on a previously defined design and data set, carry out the technological implementation of a visualization that meets the design requirements.
- Be able to combine the different techniques studied for the design of original visualizations
- Present data using appropriate graphic and visual communication methods, applying visual design principles in static and dynamic graphics.
- Acquire skills for visual data analysis and st up data narratives.