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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Applied Statistics |
| Planning |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Applied Statistics | Code | 614493002 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A1 A2 A9 A10 A12 A13 A15 B6 B8 B10 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 | 24 | 44.4 | 68.4 |
| Problem solving | A2 A9 A10 A12 A13 A15 B8 B10 C1 C2 C4 C5 C6 C7 C8 C9 | 18 | 31.5 | 49.5 |
| Supervised projects | A2 A9 B10 C3 C6 C7 C10 | 14 | 2.1 | 16.1 |
| Mixed objective/subjective test | A2 A9 A10 A12 A13 B10 C4 C5 C6 C7 | 4 | 0 | 4 |
| Personalized attention | 12 | 0 | 12 | |
| (*)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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