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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Matemática Industrial (2013) |
 Subjects |
| Stochastic numerical methods |
| Methodologies |
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| Identifying Data | 2020/21 | |||||||||||||
| 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 | Description |
| Problem solving | - The .pdf documents contain simple exercises for review and application of concepts - Further references are indicated where you can find exercises related to the exposed subjects |
| Problem solving | A set of problems are posed to be solved at home, some are shorter and others require greater dedication |
| Objective test | Problems staments are delivered to the student to be solved, for this purpose the student can use the slides that have been presented in class by the teacher |
| Guest lecture / keynote speech | - Previously to lecture sessions, a .pdf document with the contents of the lecture is delivered to students. - Table PC and videoconferencing systems will be used to allow the following of the lectures form the different campus. - Participation of students with questions and comments to be discussed during lectures will be encouraged. Also the questiones eill be solved and remarks will be illustrated by using Windows Journal computer application when necessary. |
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