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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Statistical Methods |
| Planning |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Statistical Methods | Code | 614G01057 | |||||||||||
| 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 | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A1 A3 B1 | 14 | 28 | 42 |
| Problem solving | A1 A3 A29 A50 B1 B3 B4 B6 B9 C1 C3 | 14 | 21 | 35 |
| Supervised projects | A1 A3 B1 B2 B3 B4 B6 B7 B8 B9 C1 C3 C4 C5 C6 C7 C8 | 8 | 16 | 24 |
| Introductory activities | A1 A3 A29 | 4 | 12 | 16 |
| Mixed objective/subjective test | A1 B1 B3 B9 C1 | 2 | 20 | 22 |
| Personalized attention | 11 | 0 | 11 | |
| (*)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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