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 / Results | Teaching hours (in-person & virtual) | 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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