Teaching GuideTerm
Faculty of Computer Science
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Grao en Enxeñaría Informática
 Subjects
  Intelligent Systems
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Identifying Data 2023/24
Subject (*) Intelligent Systems Code 614G01020
Study programme
Grao en Enxeñaría Informática
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Second Obligatory 6
Language
Spanish
English
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Computación
Coordinador
Rabuñal Dopico, Juan Ramon
E-mail
juan.rabunal@udc.es
Lecturers
Alonso Betanzos, Maria Amparo
Bolón Canedo, Verónica
Cancela Barizo, Brais
Dorado de la Calle, Julian
Eiras Franco, Carlos
Fernández Blanco, Enrique
LLamas Gómez, Daniel
Molares Ulloa, Andrés
Pazos Sierra, Alejandro
Puente Castro, Alejandro
Rabuñal Dopico, Juan Ramon
Rivero Cebrián, Daniel
E-mail
amparo.alonso.betanzos@udc.es
veronica.bolon@udc.es
brais.cancela@udc.es
julian.dorado@udc.es
carlos.eiras.franco@udc.es
enrique.fernandez@udc.es
daniel.llamas@udc.es
andres.molares@udc.es
alejandro.pazos@udc.es
a.puentec@udc.es
juan.rabunal@udc.es
daniel.rivero@udc.es
Web http://campusvirtual.udc.es
General description The first objective of the course is to provide students with basic knowledge in the field of symbolic artificial intelligence systems: search, resolution, representation and reasoning. The second objective of the course is to provide students with basic knowledge in the field of subsymbolic artificial intelligence systems. The knowledge acquired will allow them to consider these systems as alternative computational tools that can be applied in solving different types of problems.
(*)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.
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