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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Robotics I |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Intelligent Robotics I | Code | 614544019 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Supervised projects | B2 B7 C3 C7 C8 | 7.5 | 30 | 37.5 |
| Guest lecture / keynote speech | A18 A19 B1 B6 C8 | 9 | 0 | 9 |
| Seminar | B6 C3 C7 | 3 | 6 | 9 |
| Document analysis | A18 A19 B1 B3 B9 C5 | 1.5 | 3 | 4.5 |
| Objective test | A18 B1 B6 B9 | 2 | 12 | 14 |
| Personalized attention | 1 | 0 | 1 | |
| (*)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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