Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
Subjects |
Nonparametric Methods |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
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 / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A16 A18 A21 A23 B1 B3 B17 B20 C11 C13 | 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 C11 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 | A16 A17 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 | 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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