Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Métodos Estadísticos |
Planning |
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Identifying Data | 2015/16 | |||||||||||||
Subject | Métodos Estadísticos | Code | 614G01057 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optativa | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A1 A29 A50 B1 B6 B9 C5 C6 C7 C8 | 19 | 25 | 44 |
Problem solving | A1 A29 A50 B1 B2 B3 B7 B9 C6 C7 C8 | 7 | 30 | 37 |
Supervised projects | A1 A29 A50 B1 B3 B6 B7 B9 C6 C7 C8 | 10 | 20 | 30 |
Introductory activities | A1 B1 B8 B9 C7 C8 | 4 | 10 | 14 |
Mixed objective/subjective test | A1 B1 B3 C8 | 2 | 20 | 22 |
Personalized attention | 3 | 0 | 3 | |
(*)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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