Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Intelligent Systems |
Assessment |
|
|
|
Identifying Data | 2020/21 | |||||||||||||
Subject | Intelligent Systems | Code | 614G01020 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
|
Methodologies | Competencies / Results | 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 | |||
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. |
|