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 |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
|
Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | 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. |
|