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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Intelligent Systems Development |
| Planning |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Intelligent Systems Development | Code | 614G01037 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Third | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Oral presentation | B2 B3 B7 C1 C4 | 3 | 0 | 3 |
| Guest lecture / keynote speech | A21 A42 A43 B1 C2 C6 | 14 | 28 | 42 |
| Mixed objective/subjective test | A21 A42 A43 B3 C1 C4 C6 | 2 | 20 | 22 |
| Case study | A21 A43 B9 C6 C8 | 7 | 7 | 14 |
| Workshop | A42 B1 B8 B9 C1 C2 C4 C7 | 3 | 3 | 6 |
| Laboratory practice | A42 A43 B1 B2 B3 B4 B8 B9 C6 C7 C8 | 15 | 45 | 60 |
| Personalized attention | 3 | 0 | 3 | |
| (*)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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