Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Intelligent Systems |
Planning |
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Identifying Data | 2017/18 | |||||||||||||
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 / tests | Competencies / Results | Teaching hours (in-person & virtual) | 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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