91传媒

Social and environmental commitment
To act with ethics and professional responsibility in the face of social, environmental and economic challenges, taking democratic principles and values and the Sustainable Development Goals as a reference.

Innovation and creativity
Propose creative and innovative solutions to complex situations or problems, specific to the field of knowledge, in order to meet diverse professional and social needs.

Teamwork and leadership
Collaborate effectively in work teams, assuming responsibilities and leadership roles and contributing to collective improvement and development.

Effective communication
Communicate effectively, both orally and in writing, adapting to the characteristics of the situation and the audience.

Responsibility and decision-making
Act autonomously in learning, making informed decisions in different contexts, making judgements based on experimentation and analysis and transferring knowledge to new situations.

CB6 - Possess and understand knowledge that provides a basis or opportunity for originality in the development and/or application of ideas, often in a research context

CB7 - That students know how to apply their acquired knowledge and problem-solving skills in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study

Work and lead teams effectively to achieve common objectives, contributing to their personal and professional development.

CB8 - That students are able to integrate knowledge and face the complexity of making judgments based on incomplete or limited information, including reflections on the social and ethical responsibilities related to the application of their knowledge and judgments

CB9 - Students are able to communicate their conclusions (and the ultimate knowledge and reasons that support them) to specialized and non-specialized audiences in a clear and unambiguous way

CB10 - That students possess the learning skills that will enable them to continue studying in a manner that will be largely self-directed or autonomous.

Design, manage and evaluate an idea effectively until it becomes a project.

Ability to value the importance of documentary sources, manage them and search for information for the development of any research work

Make judgments based on criteria, external standards or personal reflections, in the field of artificial intelligence, shape recognition, digital imaging and language technologies.

To publicly present ideas, procedures or research reports, to advise individuals and organizations in the field of artificial intelligence, shape recognition, digital imaging and language technologies.

Lead, coordinate and supervise multidisciplinary teams for the development, implementation and maintenance of computer systems with artificial intelligence, shape recognition, digital image and language technologies.

Ability to integrate technologies and systems of artificial intelligence, shape recognition, digital image and language technologies, with a generalist character, in broader and multidisciplinary contexts.

Identification of application areas where the techniques and methods of artificial intelligence, shape recognition, digital imaging and language technologies can be used.

Ability to acquire advanced scientific knowledge and engage in research in the area of artificial intelligence, shape recognition, digital imaging and language technologies.

Theoretical and practical mastery of search techniques, problem solving and knowledge representation in the various areas of application of AI.

Ability to design and develop intelligent systems through theoretical and practical mastery of the concept of agent and multi-agent systems.

Theoretical and practical mastery of shape recognition based on statistical and connectionist models.

Ability to integrate devices and create interactive virtual and augmented reality applications.

Ability to design and develop natural language processing systems and their applications to document processing, machine translation and handwriting recognition.

Theoretical and practical mastery of the fundamental techniques associated with the modeling of 3D scenes and the production of synthetic, static and interactive images, using the computer.

Ability to design and develop oral and written human-machine interaction systems.

Learn to apply concepts, principles, theories and models related to artificial intelligence, shape recognition, digital imaging and language technologies to new or unfamiliar problems.

To elaborate adequately and with certain originality work projects or scientific articles or to formulate reasonable hypotheses in the area of artificial intelligence, shape recognition, digital image and language technologies.