Massive data analysis is affecting many areas of science, engineering and industry; Discussing new challenges ranging from analyzing meteorological data to modeling traffic patterns to the processing of millions of online clients. To face these challenges, you need to have the training to store, manage, process and analyze data of this magnitude. The complexity of the data requires new powerful analytical techniques designed for this purpose.
Person in charge
Alexandre Arenas (
Generic Technical Competences
CG3 - Capacity for modeling, calculation, simulation, development and implementation in technology and company engineering centers, particularly in research, development and innovation in all areas related to Artificial Intelligence.
Technical Competences of each Specialization
CEA8 - Capability to research in new techniques, methodologies, architectures, services or systems in the area of ??Artificial Intelligence.
CEP1 - Capability to solve the analysis of information needs from different organizations, identifying the uncertainty and variability sources.
CT3 - Ability to work as a member of an interdisciplinary team, as a normal member or performing direction tasks, in order to develop projects with pragmatism and sense of responsibility, making commitments taking into account the available resources.
CT6 - Capability to evaluate and analyze on a reasoned and critical way about situations, projects, proposals, reports and scientific-technical surveys. Capability to argue the reasons that explain or justify such situations, proposals, etc..
Analisis y sintesis
CT7 - Capability to analyze and solve complex technical problems.
CB6 - Ability to apply the acquired knowledge and capacity for solving problems in new or unknown environments within broader (or multidisciplinary) contexts related to their area of study.