Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Study programme competences / results


TypeA Code  
  Compound
  AC1 CE01 - Understanding and command of techniques for lexical, syntactic and semantic processing of text in natural language
  AC2 CE02 - Understanding and command of fundamentals and techniques for processing linked documents, both structured and unstructured, and of the representation of their contents
  AC3 CE03 - Understanding and knowledge of the techniques for knowledge representation and processing for ontologies, graphs and RDF, together with their associated tools
  AC4 CE04 - Knowing the fundamentals and basic techniques of Artificial Intelligence, plus their practical application
  AC5 CE05 - Ability to design and develop intelligent systems through the application of inference algorithms, knowledge representation and automated planning
  AC6 CE06 - Ability to recognise those problems that require a distributed architecture, not predetermined during the system design, suitable for the implementation of multiagent systems
  AC7 CE07 - Ability to understand the consequences of the development of an explainable and interpretable intelligent system
  AC8 CE08 - Ability to design and develop secure intelligent systems, in terms of integrity, confidentiality and robustness
  AC9 CE09 - Ability to obtain a deep knowledge about fundamental principles and models of quantum computing and to apply them for the interpretation, selection, evaluation, modelling and creation of new concepts, theories, uses and technological developments related to Artificial Intelligence
  AC10 CE10 - Ability to implement, validate and apply a stochastic model starting from the observed data on a real system, and to perform a critical analysis of the obtained results, selecting those ones most suitable for problem solving
  AC11 CE11 - Understanding and command of the main techniques and tools for data analysis, both from the statistical and the machine learning viewpoints, including those devised for large volumes of data, and ability to select those ones most suitable for problem solving
  AC12 CE12 - Ability to outline, formulate and solve all the stages of a data project, including the understanding and command of basic concepts and techniques for information search and filtering in big collections of data
  AC13 CE13 - Knowledge of computer tools in the field of data analysis and statistical modelling and ability to select those ones most suitable for problem solving
  AC14 CE14 - Understanding and command of the main machine learning techniques, including those devised for big volumes of data. Understanding and command of basic concepts and techniques for information search and filtering in big collections of data.
  AC15 CE15 - Knowledge of computer tools in the field of machine learning and ability to select those ones most suitable for problem solving
  AC16 CE16 - Knowledge of the process and tools for processing and preparing data, from their acquisition, extraction, and cleansing to their transformation, loading, organisation and access
  AC17 CE17 - Understanding and assimilation of the capacities and limitations of intelligent robotic systems, together with the technologies supporting them
  AC18 CE18 - Building up the ability to choose, design and implement AI based strategies to provide robotic systems, both individual and collective, with the capacities required to perform their tasks in a suitable way, according to the goals and constraints to be taken into account
  AC19 CE19 - Knowledge of the different environments where AI based technologies can be applied and awareness of their capability to provide a differentiating added value
  AC20 CE20 - Ability to combine and adapt different techniques, extrapolating knowledge among different application domains
  AC21 CE21 - Knowledge of the techniques that facilitate the efficient organisation and management of AI projects in real environments, including resources management and tasks scheduling and taking into account the concepts of knowledge dissemination and open science
  AC22 CE22 - Knowledge of the techniques that facilitate the security of data, applications and communications and the derived consequences on different application domains in AI
  AC23 CE23 - Understanding and command of basic concepts and techniques of digital image processing
  AC24 CE24 - Ability to apply different techniques to computer vision problems
  AC25 CE25 - Knowledge and ability to design systems for detecting, classifying and tracking objects in images and video
  AC26 CE26 - Understanding and command of the multiple ways to represent images and signals in terms of their associated data and their main features
  AC27 CE27 - Understanding the significance of the entrepreneurial culture and knowledge of the resources within the enterpreneur person's means
  AC28 CE28 - Appropriate knowledge of the concept of enterprise, its organisation and management, and of the different business sectors, with the goal of providing solutions from the AI perspective
  AC29 CE29 - Being able to apply knowledge, abilities and attitudes to the business and professional world, by planning, managing and evaluating projects in the scope of AI
  AC30 CE30 - Being able to set out, model and solve problems that require the application of AI methods, techniques and technologies
TypeB Code  
  Compound
  BC1 CG01 - Maintaining and extending theoretical foundations to allow the introduction and exploitation of new and advanced technologies in the field of AI
  BC2 CG02 - Successfully addressing each and every stage of an AI project
  BC3 CG03 - Searching and selecting that useful information required to solve complex problems, with a confident handling of bibliographical sources in the field
  BC4 CG04 - Suitably elaborating written essays or motivated arguments, including some point of originality, writing plans, work projects, scientific papers and formulating reasonable hypotheses in the field
  BC5 CG05 - Working in teams, especially of multidisciplinary nature, and being skilled in the management of time, people and decision making
  BC6 CB01 - Acquiring and understanding knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, frequently in a research context
  BC7 CB02 - The students will be able to apply the acquired knowledge and to use their capacity of solving problems in new or poorly explored environments inside wider (or multidisciplinary) contexts related to their field of study
  BC8 CB03 - The students will be able to integrate different pieces of knowledge, to face the complexity of formulating opinions (from information that may be incomplete or limited) and to include considerations about social and ethical responsibilities linked to the application of their knowledge and opinions
  BC9 CB04 - The students will be able to communicate their conclusions, their premises and their ultimate justifications, both to specialised and non-specialised audiences, using a clear style language, free from ambiguities
  BC10 CB05 - The students will acquire learning abilities to allow them to continue studying in way that will mostly be self-directed or autonomous
TypeC Code  
  Compound
  CC1 CT01 - Expressing oneself correctly, both in oral and written forms, in the official languages of the autonomous community
  CC2 CT02 - Command in understanding and expression, both in oral and written forms, of a foreign language
  CC3 CT03 - Use of the basic tools of Information and Communications Technology (ICT) required for the student's professional practice and learning along her life
  CC4 CT04 - Acquiring a personal development for practicing a citizenship under observation of the democratic culture, the human rights and the gender perspective
  CC5 CT05 - Understanding the importance of the entrepreneurial culture and knowledge of the resources within the entrepreneur person's means
  CC6 CT06 - Acquiring abilities for life and healthy customs, routines and life styles
  CC7 CT07 - Developing the ability to work in interdisciplinary or cross-disciplinary teams to provide proposal that contribute to a sustainable environmental, economic, political and social development
  CC8 CT08 - Appreciating the importance of research, innovation and technological development in the socioeconomic and cultural progress of society
  CC9 CT09 - Being able to manage time and resources: outlining plans, prioritising activities, identifying criticisms, fixing deadlines and sticking to them
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