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Teaching GuideTerm Faculty of Science |
| Grao en Nanociencia e Nanotecnoloxía |
 Subjects |
| Molecular Machines |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Molecular Machines | Code | 610G04036 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Fourth | Optional | 4.5 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A5 B1 | 16 | 0 | 16 |
| Events academic / information | A5 B1 | 3 | 0 | 3 |
| Seminar | A5 A7 B1 B4 B5 B7 B8 B10 C2 C3 C7 C8 C9 | 4 | 20 | 24 |
| Laboratory practice | A4 A5 A7 B1 B4 B5 B7 B8 B10 C2 C3 C7 C8 C9 | 10 | 10 | 20 |
| Mixed objective/subjective test | B1 B4 B7 B8 C2 | 2 | 44 | 46 |
| Personalized attention | 3.5 | 0 | 3.5 | |
| (*)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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