This seminar will consist on the description of a research field relevant within Artificial Intelligence by national or international lecturers during one week. Web:http://moodle.urv.cat Mail:
Person in charge
Antonio Moreno Ribas (
Technical Competences of each Specialization
CEA7 - Capability to understand the problems, and the solutions to problems in the professional practice of Artificial Intelligence application in business and industry environment.
CEA8 - Capability to research in new techniques, methodologies, architectures, services or systems in the area of ??Artificial Intelligence.
CEP2 - Capability to solve the decision making problems from different organizations, integrating intelligent tools.
CEP3 - Capacity for applying Artificial Intelligence techniques in technological and industrial environments to improve quality and productivity.
CEP4 - Capability to design, write and report about computer science projects in the specific area of ??Artificial Intelligence.
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.
Solvent use of the information resources
CT4 - Capacity for managing the acquisition, the structuring, analysis and visualization of data and information in the field of specialisation, and for critically assessing the results of this management.
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.
Understand the basic concepts of a relevant area within AI and its relationship with the business world.
Solve in an effective way a problem related to the field presented in the seminar.
Presentation of an advanced research topic in the AI field.
Resolution or analysis of a specific problem within the field presented in the seminar.
Presentation of the theoretical content of the seminar.
Theory: Invited lectures at the seminar.
Autonomous learning: Autonomous student work: state-of-the-art analysis, paper review, elaboration of written report.
The evaluation will be based on the elaboration of a written report,
individually or in pairs of students. In this document students will be asked to
review some current scientific papers on the topic covered in the seminar and
to provide a critical assessment of the main AI techniques used in the field.