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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Omics Data Management and Modeling |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Omics Data Management and Modeling | Code | 614G02042 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A2 B2 B9 B10 C1 C4 | 16 | 16 | 32 |
| Multiple-choice questions | B7 B8 | 3 | 21 | 24 |
| Supervised projects | A2 B2 B3 B4 B7 B9 B10 C1 C4 | 6 | 30 | 36 |
| Guest lecture / keynote speech | B7 B8 C1 C4 | 21 | 36 | 57 |
| Personalized attention | 1 | 0 | 1 | |
| (*)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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