|
Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Matemática Industrial (2013) |
 Subjects |
| Numerical methods for large systems of equations |
| Planning |
| Identifying Data | 2019/20 | |||||||||||||
| Subject | Numerical methods for large systems of equations | Code | 614855231 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Optional | 3 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A1 A4 A5 A6 A8 B2 B1 | 7 | 10.5 | 17.5 |
| Oral presentation | A1 A4 A5 A6 A8 B2 B5 B3 B1 | 2 | 1 | 3 |
| Objective test | A1 A4 A5 A6 A8 B2 B1 | 3 | 0 | 3 |
| Summary | A1 | 0 | 2 | 2 |
| Guest lecture / keynote speech | A1 A4 A5 A6 A8 | 12 | 18 | 30 |
| Problem solving | A1 A4 A5 A6 A8 B2 B3 B1 | 0 | 12 | 12 |
| Supervised projects | A1 A4 A5 A6 A8 B2 B3 B1 | 0 | 5 | 5 |
| Personalized attention | 2.5 | 0 | 2.5 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
|
