Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Matemática Industrial (2013) |
Subjects |
Numerical methods for large systems of equations |
Planning |
Identifying Data | 2017/18 | |||||||||||||
Subject | Numerical methods for large systems of equations | Code | 614855231 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optativa | 3 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | 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. |
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