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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Statistical Learning |
| Planning |
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| Identifying Data | 2021/22 | |||||||||||||
| Subject | Statistical Learning | Code | 614493125 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 5 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A16 A17 A18 A19 A20 A21 A22 A23 A24 A25 B1 B2 B3 B4 B5 B17 B18 B19 B20 B21 C11 C12 C13 C14 C15 | 15 | 25 | 40 |
| ICT practicals | A16 A17 A18 A19 A20 A21 A22 A23 A24 A25 B1 B2 B3 B4 B5 B17 B18 B19 B20 B21 C11 C12 C13 C14 C15 | 20 | 51 | 71 |
| Mixed objective/subjective test | A16 A17 A24 B1 B2 B3 B4 B5 B17 B18 B19 B20 B21 C11 C12 C13 C14 | 4 | 0 | 4 |
| Personalized attention | 10 | 0 | 10 | |
| (*)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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