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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Time Series |
| Planning |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Time Series | Code | 614493009 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First Second | Optional | 5 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A2 A6 A15 B6 B10 C1 C2 C3 C5 C6 C7 C8 C9 C10 | 17.5 | 38.5 | 56 |
| Laboratory practice | A13 B8 B10 C4 C6 | 16.5 | 36.3 | 52.8 |
| Multiple-choice questions | A2 A6 C6 | 1.5 | 0 | 1.5 |
| Practical test: | A13 B10 C4 C6 | 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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