Teaching GuideTerm
Faculty of Science
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Mestrado Universitario en Neurociencia (Plan 2011)
 Subjects
  Biological and Computational Models of Knowledge Representation
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Identifying Data 2020/21
Subject (*) Biological and Computational Models of Knowledge Representation Code 610490017
Study programme
Mestrado Universitario en Neurociencia (Plan 2011)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Computación
Coordinador
Pazos Sierra, Alejandro
E-mail
alejandro.pazos@udc.es
Lecturers
Pazos Sierra, Alejandro
E-mail
alejandro.pazos@udc.es
Web http://www.usc.es/neurosci
General description To introduce students to some of the techniques of knowledge representation in Intelligent Systems. On the other hand, to see an example of distributed knowledge representation compatible and based on some biological system for the representation of knowledge.
Contingency plan 1. Modifications to the contents None 2. Methodologies *Teaching methodologies that are maintained *Teaching methodologies that are modified 3. Mechanisms for personalized attention to students Online 4. Modifications in the evaluation *Evaluation observations: 5. Modifications to the bibliography or webgraphy
(*)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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