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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Neuroengineering and innovation in neuroscience |
| Planning |
| Identifying Data | 2019/20 | |||||||||||||
| Subject | Neuroengineering and innovation in neuroscience | Code | 614522016 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Problem solving | A3 B1 B3 B5 B6 B8 C3 C6 | 8 | 16 | 24 |
| Oral presentation | A1 B1 B4 B5 C1 C3 C6 C7 C8 | 2 | 10 | 12 |
| Events academic / information | A1 A7 B3 B4 | 2 | 2 | 4 |
| Objective test | A1 A3 B1 B2 B4 C1 | 2 | 16 | 18 |
| Guest lecture / keynote speech | A1 A2 A3 A7 B1 B2 B7 C6 | 7 | 7 | 14 |
| Personalized attention | 3 | 0 | 3 | |
| (*)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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