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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Robotics II |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Intelligent Robotics II | Code | 614544020 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A19 B2 B3 C7 | 14 | 42 | 56 |
| Supervised projects | B7 B9 C5 C8 | 7 | 42 | 49 |
| Guest lecture / keynote speech | A18 B1 B6 C3 | 21 | 21 | 42 |
| 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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