Identifying Data 2023/24
Subject (*) Computational Aspects of Cognitive Science Code 614544006
Study programme
Máster Universitario en Intelixencia Artificial
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
Second Optional 3
Language
English
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Coordinador
Pazos Sierra, Alejandro
E-mail
alejandro.pazos@udc.es
Lecturers
Pazos Sierra, Alejandro
E-mail
alejandro.pazos@udc.es
Web
General description

Study programme competencies
Code Study programme competences / results
A6 CE05 - Ability to design and develop intelligent systems through the application of inference algorithms, knowledge representation and automated planning
A7 CE06 - Ability to recognise those problems that require a distributed architecture, not predetermined during the system design, suitable for the implementation of multiagent systems
A8 CE07 - Ability to understand the consequences of the development of an explainable and interpretable intelligent system
A9 CE08 - Ability to design and develop secure intelligent systems, in terms of integrity, confidentiality and robustness
B1 CG01 - Maintaining and extending theoretical foundations to allow the introduction and exploitation of new and advanced technologies in the field of AI
B2 CG02 - Successfully addressing each and every stage of an AI project
B3 CG03 - Searching and selecting that useful information required to solve complex problems, with a confident handling of bibliographical sources in the field
B6 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
B7 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
B8 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
B9 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
C2 CT02 - Command in understanding and expression, both in oral and written forms, of a foreign language
C3 CT03 - Use of the basic tools of Information and Communications Technology (ICT) required for the student's professional practice and learning along her life
C4 CT04 - Acquiring a personal development for practicing a citizenship under observation of the democratic culture, the human rights and the gender perspective
C5 CT05 - Understanding the importance of the entrepreneurial culture and knowledge of the resources within the entrepreneur person's means
C6 CT06 - Acquiring abilities for life and healthy customs, routines and life styles
C7 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
C8 CT08 - Appreciating the importance of research, innovation and technological development in the socioeconomic and cultural progress of society

Learning aims
Learning outcomes Study programme competences / results
Knowing the computational models of human mind AC5
AC6
AC7
AC8
BC1
BC2
BC3
BC6
BC7
BC8
BC9
CC2
CC3
CC4
CC5
CC6
CC7
CC8
Distinguishing the basic processes associated to human intelligence AC5
AC6
AC7
AC8
BC1
BC2
BC3
BC6
BC7
BC8
BC9
CC2
CC3
CC4
CC5
CC6
CC8
Knowing the main computational approaches to social cognition AC5
AC6
AC7
AC8
BC1
BC2
BC3
BC6
BC7
BC8
BC9
CC2
CC3
CC4
CC5
CC6
CC7
CC8

Contents
Topic Sub-topic

Planning
Methodologies / tests Competencies / Results Teaching hours (in-person & virtual) Student’s personal work hours Total hours
ICT practicals A6 A7 A9 B2 B7 B8 C3 C4 C5 C6 8 8 16
Seminar B1 B9 C2 C7 C8 5 5 10
Objective test A6 A7 A8 A9 B1 B2 B3 B6 B7 B8 B9 C2 C3 C4 C5 C6 C7 C8 1 15 16
Guest lecture / keynote speech A8 B3 B6 C2 12 20 32
 
Personalized attention 1 0 1
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
ICT practicals
Seminar
Objective test
Guest lecture / keynote speech

Personalized attention
Methodologies
Objective test
Seminar
ICT practicals
Guest lecture / keynote speech
Description


Assessment
Methodologies Competencies / Results Description Qualification
Objective test A6 A7 A8 A9 B1 B2 B3 B6 B7 B8 B9 C2 C3 C4 C5 C6 C7 C8 30
Seminar B1 B9 C2 C7 C8 10
ICT practicals A6 A7 A9 B2 B7 B8 C3 C4 C5 C6 60
 
Assessment comments

Sources of information
Basic

Complementary


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.