Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Intelligent Systems |
Methodologies |
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Identifying Data | 2016/17 | |||||||||||||
Subject | Intelligent Systems | Code | 614G01020 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Second | Obligatoria | 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 classical models of intelligent agent and identification of the concepts involved in these models in practical application examples. - Study of advanced search algorithms. - Practical exercises on different Reasoning models presented (Items 4 and 5). - Evaluation test of acquired concepts. - 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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