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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Intelligent Systems |
| Planning |
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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 / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A21 B1 B5 | 20 | 0 | 20 |
| Supervised projects | B3 B9 | 10 | 20 | 30 |
| Guest lecture / keynote speech | C6 C8 | 30 | 60 | 90 |
| Personalized attention | 10 | 0 | 10 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
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