Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Statistical Analysis of Complex Data |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Statistical Analysis of Complex Data | Code | 614G02031 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Oral presentation | A3 B2 B3 B4 C4 | 21 | 31.5 | 52.5 |
ICT practicals | A17 A20 A3 B2 B3 B4 B6 B7 B8 B9 B10 C1 | 7 | 24.5 | 31.5 |
Supervised projects | A17 A20 A3 B2 B3 B4 B6 B7 B9 B10 C1 | 3.5 | 15.75 | 19.25 |
Problem solving | A17 B2 B7 B8 B10 | 7 | 28 | 35 |
Mixed objective/subjective test | A20 A3 B2 B3 B4 B8 C1 | 1.5 | 3 | 4.5 |
Mixed objective/subjective test | A20 A3 B2 B3 B4 B8 C1 | 1.5 | 3.75 | 5.25 |
Personalized attention | 2 | 0 | 2 | |
(*)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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