Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Matemática Industrial (2013) |
Subjects |
Stochastic numerical methods |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Stochastic numerical methods | Code | 614855226 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Problem solving | A3 A4 A7 | 0 | 60 | 60 |
Problem solving | A3 A4 A7 | 0 | 36 | 36 |
Objective test | A2 A3 A4 A7 B1 | 4 | 0 | 4 |
Guest lecture / keynote speech | A1 A2 A3 A4 A7 B5 B1 | 42 | 0 | 42 |
Personalized attention | 8 | 0 | 8 | |
(*)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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