Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Robotics |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Robotics | Code | 614G01098 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd 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 |
Laboratory practice | A43 B1 B9 | 21 | 21 | 42 |
Supervised projects | B1 B3 B9 C6 C8 | 0 | 30 | 30 |
Guest lecture / keynote speech | C6 C8 | 20 | 20 | 40 |
Objective test | B3 C6 | 1 | 0 | 1 |
Oral presentation | B3 B9 C8 | 4 | 28 | 32 |
Personalized attention | 5 | 0 | 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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