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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Intelligent Systems |
| Assessment |
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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 | Competencies | Description | Qualification |
| Guest lecture / keynote speech | C6 C8 | Written exam to assess knowledge of the matter. |
60 |
| Laboratory practice | A21 B1 B5 | - Only work submitted before deadline of students who have attended the hours assigned to the practices are scored. | 30 |
| Supervised projects | B3 B9 | - Only work submitted before deadline of students who have attended the hours assigned to the TGR are scored. | 10 |
| Assessment comments | |||
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In order to pass the subject will be required to pass the exam of theory and also achieve at least 5 points after adding the note of written exam, with the notes of practice and TGR. |
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