Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Intelligent Systems |
Methodologies |
|
|
|
Identifying Data | 2019/20 | |||||||||||||
Subject | Intelligent Systems | Code | 614G01020 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
|
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. |
|