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 | 2021/22 | |||||||||||||
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 / Results | Teaching hours (in-person & virtual) | 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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