Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Mathematical Optimisation |
Planning |
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Identifying Data | 2024/25 | |||||||||||||
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 / Results | Teaching hours (in-person & virtual) | 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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