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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Intelligent Systems |
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| Identifying Data | 2022/23 | ||||||||||||||||||||||||||||||||
| Subject (*) | Intelligent Systems | Code | 614G01020 | ||||||||||||||||||||||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | ||||||||||||||||||||||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | |||||||||||||||||||||||||||||
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| Teaching method | Face-to-face | ||||||||||||||||||||||||||||||||
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| Department | Ciencias da Computación e Tecnoloxías da Información Computación |
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| 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. | ||||||||||||||||||||||||||||||||
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| (*)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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