Teaching Guide 2022/23 Faculty of Computer Science

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

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

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

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