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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Statistical Inference |
| Planning |
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| Identifying Data | 2023/24 | |||||||||||||
| 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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