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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Mathematical Optimisation |
| Planning |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Mathematical Optimisation | Code | 614G02020 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A29 B2 B3 B7 B8 B9 B10 C1 | 30 | 48 | 78 |
| Laboratory practice | A29 B2 B3 B7 B8 B9 B10 C1 | 20 | 20 | 40 |
| Seminar | A29 B2 B3 B7 B8 B9 B10 C1 | 10 | 10 | 20 |
| Mixed objective/subjective test | A29 B2 B3 B7 B8 B9 B10 C1 | 3 | 3 | 6 |
| Personalized attention | 6 | 0 | 6 | |
| (*)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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