Teaching GuideTerm Faculty of Science |
Grao en Bioloxía |
Subjects |
Data Analysis in Biology |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Data Analysis in Biology | Code | 610G02044 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Supervised projects | A21 A26 A30 B2 B3 B4 B5 B6 B10 | 4 | 10 | 14 |
ICT practicals | A26 A30 B2 B3 B10 | 14 | 22.4 | 36.4 |
Problem solving | A26 B2 B3 B5 B10 | 6 | 9.6 | 15.6 |
Guest lecture / keynote speech | A26 B2 B3 B6 B10 | 22 | 55 | 77 |
Short answer questions | A21 B2 B3 B6 | 2 | 0 | 2 |
Objective test | A21 A26 A30 B2 B3 B4 B6 B10 | 3 | 0 | 3 |
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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