Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Bioinformática para Ciencias da Saúde |
Subjects |
Advanced statistical methods in bioinformatics |
Planning |
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Identifying Data | 2020/21 | |||||||||||||
Subject | Advanced statistical methods in bioinformatics | Code | 614522009 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Obligatory | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A5 B1 B7 | 18 | 40 | 58 |
Problem solving | B2 B6 C6 | 12 | 28 | 40 |
ICT practicals | A5 A6 B2 C3 | 12 | 25 | 37 |
Mixed objective/subjective test | A5 | 3 | 0 | 3 |
Practical test: | B6 | 0 | 10 | 10 |
Personalized attention | 2 | 0 | 2 | |
(*)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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