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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Data Integration |
| Planning |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Data Integration | Code | 614G01072 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A18 A27 A33 A44 A46 B3 B5 C1 C6 C8 | 21 | 42 | 63 |
| Problem solving | A46 B1 B2 B6 | 7 | 14 | 21 |
| Workbook | A18 A46 C2 C6 C8 | 0 | 9 | 9 |
| Laboratory practice | A18 A19 A27 A46 B1 B2 B6 C3 | 14 | 21 | 35 |
| Mixed objective/subjective test | A18 A27 B3 | 2 | 0 | 2 |
| Supervised projects | A18 A19 A27 A46 B1 B2 B3 B6 C3 | 0 | 18 | 18 |
| Personalized attention | 2 | 0 | 2 | |
| (*)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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