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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Evolutionary Computation |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Evolutionary Computation | Code | 614544015 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 10.5 | 10.5 | 21 |
| Objective test | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 3 | 0 | 3 |
| Laboratory practice | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 10.5 | 31.5 | 42 |
| Mixed objective/subjective test | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | 2 | 2 | 4 |
| Personalized attention | 5 | 0 | 5 | |
| (*)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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