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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Nonparametric Methods |
| Planning |
| Identifying Data | 2019/20 | |||||||||||||
| Subject | Nonparametric Methods | Code | 614493111 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 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 B1 B3 B17 B20 C13 C11 | 20 | 15 | 35 |
| Seminar | A16 A17 A19 A20 A21 A23 B2 B3 B5 B17 B18 B19 B20 B21 C11 C13 | 7 | 5.25 | 12.25 |
| ICT practicals | A17 A19 A20 A21 A23 B2 B5 B18 B19 | 7 | 5.25 | 12.25 |
| Problem solving | A16 A17 A19 A23 B2 B3 B5 B18 B19 B20 B21 C11 C13 C14 C15 | 0 | 28.5 | 28.5 |
| Case study | A16 A17 A19 A21 A23 B2 B3 B4 B5 B18 B19 B20 B21 C13 C14 C15 | 0 | 21 | 21 |
| Supervised projects | A17 A19 A21 A23 B2 B4 B5 B18 B19 B20 B21 C11 C13 C14 C15 | 0 | 9.5 | 9.5 |
| Workshop | A17 A16 B2 B3 B4 B17 B18 B19 C11 C13 C14 C15 | 1 | 2.5 | 3.5 |
| Objective test | A16 A17 A18 A19 A20 A21 A23 B20 B21 C11 C13 | 0 | 3 | 3 |
| Personalized attention | 0 | 0 | ||
| (*)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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