|
Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Métodos Estadísticos |
| Planning |
|
|
| Identifying Data | 2015/16 | |||||||||||||
| Subject | Métodos Estadísticos | Code | 614G01057 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Fourth | Optativa | 6 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies | Ordinary class hours | 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. | ||||
|
