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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Data Management Technology |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Data Management Technology | Code | 614493106 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Optional | 5 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A16 A18 A21 A23 | 20 | 30 | 50 |
| Laboratory practice | A16 A18 A24 A25 B2 B3 B5 B20 C11 C12 C13 C14 | 13 | 26 | 39 |
| Problem solving | A16 A17 B2 C13 | 0 | 28 | 28 |
| Seminar | A17 A24 A25 B1 B17 B19 B21 C15 | 2 | 3 | 5 |
| Mixed objective/subjective test | A16 A18 A21 A23 A24 A25 B1 B2 B3 B4 B17 B18 C13 | 2.5 | 0 | 2.5 |
| Personalized attention | 0.5 | 0 | 0.5 | |
| (*)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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