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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Evolutionary Computation |
| Assessment |
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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 | Competencies | Description | Qualification |
| Guest lecture / keynote speech | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | The theoretical part of the course will be continuously monitored through class attendance and possible test-type questionnaires at the end of the lectures. | 5 |
| Laboratory practice | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | Evaluation of the different practices carried out by the students. | 50 |
| Objective test | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | Final exam of the theoretical part. | 40 |
| Mixed objective/subjective test | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C4 C7 C8 C9 | There will be a continuous monitoring of the practices carried out, by means of class attendance and continuous and final correction of the same. The possibility of a brief oral presentation of the work done in this part is included. | 5 |
| Assessment comments | |||
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