Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Matemática Industrial (2013) |
Subjects |
Numerical methods for large systems of equations |
Planning |
Identifying Data | 2022/23 | |||||||||||||
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 |
Oral presentation | A4 A5 A9 A8 B3 B4 | 2 | 1 | 3 |
Laboratory practice | A4 A5 A9 A8 B3 B4 | 7 | 10.5 | 17.5 |
Objective test | A4 A5 A9 A8 B5 B3 B4 | 3 | 0 | 3 |
Summary | A4 A8 | 0 | 2 | 2 |
Guest lecture / keynote speech | A4 A9 | 12 | 18 | 30 |
Problem solving | A4 A5 A9 | 0 | 12 | 12 |
Supervised projects | A4 A5 B5 B3 | 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. |
|