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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Intelligent Systems |
| Methodologies |
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| Identifying Data | 2020/21 | |||||||||||||
| 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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| Methodologies | Description |
| Laboratory practice | - Using Symbolic Artificial Intelligence techniques to solve problems. - Using Subsymbolic Artificial Intelligence techniques to solve problems. |
| Supervised projects | - Study of the different models of symbolic intelligent systems and identification of the concepts involved in these models in practical application examples. - Search, analysis of real problems that show the application of Sub-symbolic Intelligence Artificial Systems. |
| Guest lecture / keynote speech | Imparting of the contents of the different topics of the subject, encouraging the participation of students in the understanding of practical examples. |
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