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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Time Series |
| Planning |
| Identifying Data | 2019/20 | |||||||||||||
| 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 | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A16 A18 A19 A20 A21 A23 A25 B1 B5 B17 B19 B20 B21 C15 C14 | 17.5 | 38.5 | 56 |
| Laboratory practice | A17 A20 A21 A23 A24 B2 B3 B4 B5 B18 C11 C12 C13 C14 C15 | 16.5 | 36.3 | 52.8 |
| 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 | 2.5 | 0 | 2.5 |
| 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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