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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Computational intelligence for high dimensional data |
| Planning |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Computational intelligence for high dimensional data | Code | 614522024 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Obligatory | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A4 C1 C6 | 7 | 14 | 21 |
| Problem solving | A25 A33 A41 B1 B6 C3 | 8 | 16 | 24 |
| Supervised projects | A21 B3 B6 C1 C2 C3 C6 | 4 | 4 | 8 |
| Seminar | A21 B1 B3 B6 | 4 | 4 | 8 |
| Mixed objective/subjective test | A2 A3 A4 A6 B1 B2 B3 B6 B7 C1 C3 C6 | 4 | 10 | 14 |
| Personalized attention | 0 | 0 | 0 | |
| (*)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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