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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Mathematical Optimisation |
| Planning |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Mathematical Optimisation | Code | 614G03005 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Problem solving | A1 A5 A15 B2 B5 B7 B9 C3 | 30 | 30 | 60 |
| Guest lecture / keynote speech | A1 A5 A15 B2 B5 B7 B9 C3 | 30 | 45 | 75 |
| Personalized attention | 15 | 0 | 15 | |
| (*)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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