Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
Subjects |
Time Series |
Planning |
Identifying Data | 2020/21 | |||||||||||||
Subject | Time Series | Code | 614493123 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 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 A19 A20 A21 A23 A25 B1 B5 B17 B19 B20 B21 C14 C15 | 20 | 46 | 66 |
Laboratory practice | A17 A20 A21 A23 A24 B2 B3 B4 B5 B18 C11 C12 C13 C14 C15 | 13.5 | 29.7 | 43.2 |
Multiple-choice questions | A16 A18 A19 B2 B17 C11 | 1.5 | 0 | 1.5 |
Practical test: | A16 A17 A20 A25 B2 B17 B18 B21 C11 | 2 | 0 | 2 |
Personalized attention | 13 | 0 | 13 | |
(*)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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