Teaching GuideTerm
Faculty of Computer Science
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Grao en Enxeñaría Informática
 Subjects
  Intelligent Systems
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Identifying Data 2020/21
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 Hybrid
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Computación
Coordinador
Porto Pazos, Ana Belen
E-mail
ana.portop@udc.es
Lecturers
Alonso Betanzos, Maria Amparo
Bolón Canedo, Verónica
Dorado de la Calle, Julian
Fernández Blanco, Enrique
Fernández Lozano, Carlos
Moret Bonillo, Vicente
Pazos Sierra, Alejandro
Porto Pazos, Ana Belen
Rabuñal Dopico, Juan Ramon
Rivero Cebrián, Daniel
Rodríguez Tajes, Álvaro
E-mail
amparo.alonso.betanzos@udc.es
veronica.bolon@udc.es
julian.dorado@udc.es
enrique.fernandez@udc.es
carlos.fernandez@udc.es
vicente.moret@udc.es
alejandro.pazos@udc.es
ana.portop@udc.es
juan.rabunal@udc.es
daniel.rivero@udc.es
a.tajes@udc.es
Web
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.
Contingency plan 1. Modifications to the contents No changes are made. 2. Methodologies The methodologies are maintained. The character of a written exam is changed to an online exam. This final test is necessary to perform an individualized assessment of each student, since various practices and work are done in groups. 3. Mechanisms of personalized attention to students Use of Moodle to provide material to students. Use of the Moodle forum to communicate all those events of the subject (modifications, deliveries of practices, etc.) Synchronous teaching and asynchronous through Teams. Tutorials through the Teams chat during tutorial hours. Tutorials via email continuously. 4. Modifications in the evaluation The evaluation mechanisms are maintained, with the aforementioned change of the exam, which becomes online. * Evaluation comments: The need to obtain a minimum mark in the theory exam is eliminated. The rest of the evaluation observations are maintained. 5. Modifications to the bibliography or webography No changes are made.
(*)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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