Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Statistical Inference |
Planning |
Identifying Data | 2020/21 | |||||||||||||
Subject | Statistical Inference | Code | 614G02007 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
First | Basic training | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Laboratory practice | A17 A18 A20 B1 B5 B6 C1 | 20 | 24 | 44 |
Seminar | A17 A18 A20 B1 B5 B6 C1 | 10 | 14 | 24 |
Mixed objective/subjective test | A17 A18 A20 B1 B5 B6 C1 | 3 | 3 | 6 |
Guest lecture / keynote speech | A17 A18 A20 B1 B5 B6 C1 | 30 | 40 | 70 |
Personalized attention | 6 | 0 | 6 | |
(*)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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