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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 | Ordinary class hours | 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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